NAS 6112201 Pancasila and Civic Education

Module Name	Pancasila and Civic Education
Module level, if applicable	Undergraduate
Module Identification Code	NAS 6112201
Semester(s) in which the module is taught	1th
Person(s) responsible for the module	Gerafina Djohan
Language	Bahasa Indonesia
Relation in Curriculum	Compulsory course for undergraduate program in Physics
Teaching methods, Contact hours	Lecture (Contextual Instruction and Self Direct Learning Method)Structured Activities (Assignments Based on Quiz and Homework)Self Study (Reading Literature)Contract Hours: 2 hour 30 minutes
Workload	Workload per semester (16 weeks) Lecture: 35 hoursMidterm and Final Exam: 5 hoursStructure and Self Study: 49 hoursTotal Workload: 89 hours
Credit points	2.97 ECTS
Admission and examination requirements	Enrolled in this course and minimum 80% attendance in lecture
Recommended prerequisites	–
Media employed	Board, LCD Projector, Laptop/Computer, Google Classroom
Forms of assessment	Structured Assignment Homework and Quiz: 30 %Midterm Exam Written: 30 %Final Exam Written: 40 %
Intended Learning Outcome
After completing this course, the students should have: Explaining the History of the Formulation of PancasilaStressing the Importance of Civic Education as a Platform for Shaping the Character of the Civilized Indonesian NationDescribing the Competency Standards of Civic EducationPresenting the Scope of Pancasila and Civic Education MaterialConcluding the Importance of Civic Education for the Development of a Democratic Culture in Indonesia
Module content
History of the Formulation of PancasilaPancasila as a National IdeologyPancasila as a Paradigm for Community, Nation, and State LifeIslamic Perspectives on the Content of Pancasila
National IdentityGlobalizationDemocracyConstitution and Legislation in IndonesiaState, Religion, and CitizenshipHuman Rights (HAM)Regional AutonomyGood GovernanceCorruption PreventionCivil Society
Recommended Literatures Ichsan, M. (2019). Pancasila dan Pendidikan Kewarganegaraan. Yogyakarta: DeepublishHuda, M. (2018). Pendidikan Kewarganegaraan di Era Globalisasi. Yogyakarta: Ar- Ruzz Media.Soehino, A. (2017). Pancasila dan Implementasinya dalam Kehidupan Berbangsa dan Bernegara. Jakarta: Rajawali Pers.Surbakti, R. (2016). Pendidikan Kewarganegaraan untuk Perguruan Tinggi. Bandung: PT Remaja Rosdakarya.Kaelan, M. (2015). Pancasila Sebagai Sistem Filsafat. Jakarta: Pustaka Pelajar.

UIN 6032201 Islamic Studies

Module Name	Islamic Studies
Module level, if applicable	Undergraduate
Module Identification Code	UIN 6032201
Semester(s) in which the module is taught	1th
Person(s) responsible for the module	Syamsul Aripin
Language	Bahasa Indonesia
Relation in Curriculum	Compulsory course for undergraduate program in Physics
Teaching methods, Contact hours	Lecture (Contextual Instruction and Cooperative Learning Method)Structured Activities (Assignments Based on Cooperative Learning and Quiz)Self Study (Reading Literature)Contract hours: 3 hour 20 minutes
Workload	Workload per semester (16 weeks) Lecture: 47 hoursMidterm and Final Exam: 7 hoursStructure and Self Study: 47 hoursTotal Workload: 100 hours
Credit points	3.33 ECTS
Admission and examination requirements	Enrolled in this course and minimum 80% attendance in lecture
Recommended prerequisites	–
Media employed	Board, LCD Projector, Laptop/Computer, Google Classroom
Forms of assessment	Structured Assignment Quiz: 30 %Midterm Exam Written: 30 %Final Exam Written: 40 %
Intended Learning Outcome
After completing this course, the students should have: Students are proficient in understanding the definition, origins, types, elements, and functions of religion for human life based on comprehensive, strong, rational, and convincing scriptural (naqli) and rational (‘aqli) arguments.Students are proficient in understanding the definition of Islam, its characteristics, similarities, and differences with other religions, as well as the sources and fundamental teachings of Islam based on comprehensive, strong, rational, and convincing scriptural (naqli) and rational (‘aqli) arguments.Students are proficient in understanding aspects of Islamic teachings related to worship, spiritual and moral exercises, history and culture of Islam, politics, education, preaching, community and gender equality in Islam based on comprehensive, strong, rational, and convincing scriptural (naqli) and rational (‘aqli) arguments.
Module content
Definition, Origins, Types, Elements, Purpose, and Function of Religion.Human Needs for Religion.Islam in its True Sense.Characteristics and Principles of Islamic Teachings, Similarities and Differences with Other Religions.Essential Principles of Islam: Faith, Islam, and Ihsan/Faith, Knowledge, and Deeds.Aspects of Worship, Spiritual Exercises, and Moral Teachings in Islam.Aspects of History and Culture of Islam.Political and Institutional Aspects of Islam.Educational Aspects in Islam.Aspects of Islamic Preaching (Dakwah).Community Aspects in Islam.Aspects of Moral Development in Islam.
Recommended Literatures Abdullah, Ahmad, K. (2022). Understanding Religion and Human Life: Perspectives from Islam and Other Faiths. Routledge. Al-Ghazali. (2020). The Revival of Religious Sciences (Ihya’ Ulum al-Din) (F. Karim, Trans). Islamic Texts Society. Asad, M. (2021). The Principles of Islam and Their Relevance Today. Islamic Book Trust. Esposito, J. L. (2020). Islam: The Straight Path (5th Ed). Oxford University Press. Hallaq, W. B. (2022). Shari‘a: Theory, Practice, and Transformations. Cambridge University Press. Kamali, M. H. (2021). Shari’ah Law: an introduction (3rd Ed). Oneworld Publications. Nasr, S. H. (2021). Islam and The Perennial Philosophy: History and Culture of Islamic Thought. HarperOne. Ramadan, T. (2020). The Essentials of Islam: A Guide to Faith and Practice. Oxford University Press. Saeed, A. (2022). Islam in Modern Society: Faith, Values, and Practice. Bloomsbury Academic. Zain, M. M. (2023). Comprehensive Islamic Teachings: Moral, Social, and Spiritual Insights. Islamic Research Publications.

UIN 6014203 English

Module Name	English
Module level, if applicable	Undergraduate
Module Identification Code	UIN 6014203
Semester(s) in which the module is taught	1th
Person(s) responsible for the module	Childa Faiza
Language	Bahasa Indonesia and English
Relation in Curriculum	Compulsory course for undergraduate program in Physics
Teaching methods, Contact hours	Lecture (Contextual Instruction and Group Discussion Method)Structured Activities (Assignments Based on Group Discussion and Homework)Self Study (Reading Literature)Contract hours: 2 hour 30 minutes
Workload	Workload per semester (16 weeks) Lecture: 35 hoursMidterm and Final Exam: 5 hoursStructure and Self Study: 56 hoursTotal Workload: 96 hours
Credit points	3.20 ECTS
Admission and examination requirements	Enrolled in this course and minimum 80% attendance in lecture
Recommended prerequisites	–
Media employed	Board, LCD Projector, Laptop/Computer, Google Classroom
Forms of assessment	Structured Assignment Homework: 30 %Midterm Exam Written: 30 %Final Exam Written: 40 %
Intended Learning Outcome
After completing this course, the students should have: Able to implement reading strategies such as “skimming” and “scanning”,identifying pronoun references, using punctuation correctly, recalling oral information, and introducing oneself.Understanding the main ideas and supporting ideas in a reading, using “verbs” and “adverbs” using “mind mapping”, and discussing daily activities.Knowing the difference between facts and opinions in a reading, using adjectives appropriately, understanding simple opinions, and being able to describe someone.Identifying important information from the reading text, writing simple sentences, being able to ask and answer about directions.Able to draw conclusions from the reading text, understanding the use of pronouns and articles, writing a memo, making/receiving/declining meeting appointments.Paraphrasing sentences from the reading text, using the “simple present tense”, writing a postcard, expressing likes or dislikes.
Identifying the meanings of words or phrases in the reading text, making conclusions, using the “simple future tense” appropriately, writing simple advertisements, verbally inviting.Identifying the purpose of writing in a reading text, using the “simple past tense” correctly, writing personal information.
Module content
Mastering Effective Reading StrategiesComprehension and Language ProficiencyInformation Extraction and Language Expression SkillsLanguage Transformation and Expressing PreferencesEnhancing Vocabulary and Future ExpressionsUnderstanding Writing Purpose and Past Expressions
Recommended Literatures Azkiyah, Siti Nurul et al. (2020). General English 1 (A course for University Students). Malaysia: Oxford University Press.Azar, B.S. (1999). Understanding and using English Grammar (3rded). New York: Pearson Education.Cusack, B., & McCarter, S. (2007). Listening and Speaking skills. Oxford: MacMillan Publisher LimitedHewings, M. (2002). Advance Grammar in use: A self Study. Cambridge: Cambridge University Press.

FST 6094106 Elementary Statistics

Module Name	Elementary Statistics
Module level, if applicable	Undergraduate
Module Identification Code	FST 6094106
Semester(s) in which the module is taught	1th
Person(s) responsible for the module	Agus Budiono
Language	Bahasa Indonesia
Relation in Curriculum	Compulsory course for undergraduate program in Physics
Teaching methods, Contact hours	Lecture (Problem Based Learning and Self Direct Learning Method)Structured Activities (Assignments Based on Homework)Self Study (Reading Literature)Contract hours: 2 hour 30 minutes
Workload	Workload per semester (16 weeks) Lecture: 35 hoursMidterm and Final Exam: 5 hoursStructure and Self Study: 70 hoursTotal Workload: 110 hours
Credit points	3.67 ECTS
Admission and examination requirements	Enrolled in this course and minimum 80% attendance in lecture
Recommended prerequisites	–
Media employed	Board, LCD Projector, Laptop/Computer, Google Classroom
Forms of assessment	Structured Assignment Homework: 30 %Midterm Exam Written: 30 %Final Exam Written: 40 %
Intended Learning Outcome
After completing this course, the students should have: Understand and apply fundamental statistical concepts such as measures of central tendency, variability, and correlation.Demonstrate proficiency in organizing, summarizing, and interpreting data using appropriate graphical and numerical methods.Utilize probability concepts to analyze uncertainty and make informed predictions in real-world scenarios.Apply basic principles of hypothesis testing and inferential statistics to draw conclusions about populations based on sample data.Critically evaluate statistical claims and arguments, demonstrating the ability to identify common errors in reasoning and interpretation.Communicate statistical findings effectively through written reports and oral presentations, employing clear language and appropriate visual aids to convey complex ideas to diverse audiences.
Utilize statistical software packages proficiently to perform data analysis and generate graphical representations, fostering computational literacy and enhancing problem- solving skills.Develop a foundational understanding of the ethical considerations and limitations inherent in statistical analysis, including issues related to data privacy, bias, and misuse.
Module content
Lecture (Class Work) Introduction to Statistical and Data AnaliysisProbbabilityRandom Variables a Probability DistributionMathematical ExpectationDiscrete Probability DistributionContinuous Probability DistributionFunctions of Random VariablesFundamental Sampling Distributions and Data DescriptionOne and two Samples Estimation ProblemsOne and Two Samples Test of HypothesisSimples Linier Regression and CorrelationMultiple Linear Regression and Certain Non-Linier Regression ModelsOne factor Experiments GeneralFactorial Experiments (Two or More Factors)Nonparametric Statistics
Recommended Literatures Triola, M. F. (2019). Elementary Statistics (13th ed.). Pearson. Agresti, A., & Franklin, C. (2018). Statistics: The Art and Science of Learning from Data (4th ed.). Pearson. Moore, D. S., & Notz, W. I. (2018). Statistics: Concepts and Controversies (9th ed.). W. H. Freeman.Larson, R., & Farber, B. (2018). Elementary Statistics: Picturing the World (7th ed.). Pearson.Bluman, A. G. (2017). Elementary Statistics: A Step By Step Approach (10th ed.). McGraw-Hill Education.

FST 6094226 Basic Mathematics

Module Name	Basic Mathematics
Module level, if applicable	Undergraduate
Module Identification Code	FST 6094226
Semester(s) in which the module is taught	1th
Person(s) responsible for the module	Muhammad Nafian
Language	Bahasa Indonesia
Relation in Curriculum	Compulsory course for undergraduate program in Physics
Teaching methods, Contact hours	Lecture (Problem Based Learning and Cooperative Learning Method)Structured Activities (Assignments Based on Group Discussion and Quiz)Self Study (Reading Literature)Contract hours: 2 hour 30 minutes
Workload	Workload per semester (16 weeks) Lecture: 35 hoursMidterm and Final Exam: 5 hoursStructure and Self Study: 70 hoursTotal Workload: 110 hours
Credit points	3.67 ECTS
Admission and examination requirements	Enrolled in this course and minimum 80% attendance in lecture
Recommended prerequisites	–
Media employed	Board, LCD Projector, Laptop/Computer, Google Classroom
Forms of assessment	Structured assignment Quiz: 40 % Midterm exam Written: 30 % Final exam Written: 30 %
Intended Learning Outcome:
After completing this course, the students should have: Demonstrate fluency in fundamental arithmetic operations including addition, subtraction, multiplication, and division across whole numbers, fractions, and decimals.Apply basic algebraic principles to solve linear equations and inequalities, including the ability to manipulate algebraic expressions and solve simple word problems.Understand and apply geometric concepts such as perimeter, area, volume, and angles, including the ability to identify and classify basic shapes.Interpret and create graphical representations of data, including bar graphs, line graphs, and basic scatterplots, to analyze patterns and trends.Develop proficiency in mental math strategies and estimation techniques to solve mathematical problems efficiently and accurately.Apply mathematical reasoning and critical thinking skills to solve real-world problems involving financial literacy, measurement, and proportional reasoning.
Communicate mathematical ideas clearly and effectively through written explanations, diagrams, and numerical representations, demonstrating the ability to justify solutions and communicate mathematical reasoning.Develop a growth mindset towards mathematics, fostering perseverance and resilience in tackling mathematical challenges and recognizing the value of continuous learning and improvement.
Module content
Lecture (Class Work) Power rules, roots and logarithms.Fractions and quotients.Real number system, inequalities.Absolute value.Coordinate systems and straight lines, graphs of straight-line equations.Functions and their operations, Graphs of functions.Trigonometric functions.Exponential function.Logarithmic function.Limits, Limit Theorems, continuity of functions.Definition and concept of derivative, trigonometric derivative, chain rule.Writing of Leibniz, Higher Order Derivatives, Implicit Differentiation.Maximum and Minimum, Monotony and Concavity.Limits at Infinity.
Recommended Literatures: Kreyszig, E. (2018). Advanced Engineering Mathematics (10th ed.). Wiley.Angel, A. R., & Runde, D. (2017). A Survey of Mathematics with Applications (10th ed.). Pearson.Croft, A., Davison, R., & Hargreaves, J. (2017). Foundation Mathematics for the Physical Sciences (3rd ed.). Oxford University Press. Aufmann, R. N., Lockwood, J. S., & Nation, R. (2016). Strang, G., & Herman, E. (2020). Calculus volume 1 (Open Access Textbook). OpenStax Marsden, J. E., & Tromba, A. J. (2020). Vector calculus (6th ed.). W.H. Freeman and Company.

FST 6097111 Basic Physics 1

Module Name	Basic Physics 1
Module level, if applicable	Undergraduate
Module Identification Code	FST 6097111
Semester(s) in which the module is taught	1th
Person(s) responsible for the module	Arif Tjahjono
Language	Bahasa Indonesia
Relation in Curriculum	Compulsory course for undergraduate program in Physics
Teaching methods, Contact hours	Lecture (Problem Based Learning and Cooperative Learning Method)Structured Activities (Assignments Based on Cooperative Learning and Quiz)Self Study (Reading Literature)Contract hours: 2 hour 30 minutes
Workload	Workload per semester (16 weeks) Lecture: 35 hoursMidterm and Final Exam: 5 hoursStructure and Self Study: 77 hoursTotal Workload: 117 hours
Credit points	3.90 ECTS
Admission and examination requirements	Enrolled in this course and minimum 80% attendance in lecture
Recommended prerequisites	–
Media employed	Board, LCD Projector, Laptop/Computer, Google Classroom
Forms of assessment	Structured assignment Quiz: 30 %Midterm exam Written: 30 %Final exam Written: 40 %
Intended Learning Outcome
After completing this course, the students should have: Understand and apply fundamental principles of mechanics, including Newton’s laws of motion, to analyze the motion of objects in one and two dimensions.Demonstrate proficiency in solving basic kinematics problems, including displacement, velocity, and acceleration, using algebraic and graphical methods.Apply the principles of energy conservation and work-energy theorem to analyze mechanical systems and solve problems involving kinetic and potential energy.Understand the concept of momentum and its conservation in collisions, and apply these principles to solve problems involving momentum and impulse.Analyze the forces acting on objects in equilibrium and apply principles of statics to solve problems involving the equilibrium of rigid bodies.Apply basic principles of rotational motion, including torque and angular momentum, to analyze the motion of rotating objects and solve rotational kinematics problems.
7. Demonstrate proficiency in applying mathematical tools, including algebra, trigonometry, and vector analysis, to solve physics problems and interpret physical phenomena.
Module content
Lecture (Class Work) Introduction, measurement and estimatingParticle KinematicsTwo-dimensional kinematicsNewton’s law of motionCircular motion of gravityWork and energyLinear momentumRotational motionElastic and plastic deformationFluidsVibration and waveHeat and temperatureThe laws of thermodinamics
Recommended Literatures Serway, R. A., Vuille, C., & Bennett, C. (2018). College Physics (11th ed.). Cengage Learning. Wolfson, R. (2017). Essential University Physics (3rd ed.). Pearson. Hewitt, P. G. (2016). Conceptual Physics (12th ed.). Pearson. Wilson, J. D., Buffa, A. J., & Lou, B. (2015). College Physics (8th ed.). Pearson. Giancoli, D. C. (2016). Physics Principles with Applications, Global Edition 7th Edition. Pearson.

FST 6097112 Basic Physics Laboratory Work 1

Module Name	Basic Physics Laboratory Work 1
Module level, if applicable	Undergraduate
Module Identification Code	FST 6097112
Semester(s) in which the module is taught	1th
Person(s) responsible for the module	Dewi Lestari
Language	Bahasa Indonesia
Relation in Curriculum	Compulsory course for undergraduate program in Physics
Teaching methods, Contact hours	Laboratory workGroup discussionContract hours: 2 hour 30 minutes
Workload	Workload per semester (16 weeks) Laboratory Work: 35 hoursMidterm and Final Exam: 4 hoursStructure and Self Study: 26 hoursTotal Workload: 65 hours
Credit points	2.23 ECTS
Admission and examination requirements	Enrolled in this course and minimum 80% attendance in lecture
Recommended prerequisites	–
Media employed	Board, LCD Projector, and Laboratory work equipment (List in Laboratory Work Guide for Basic Physics 1)
Forms of assessment	Structured assignment Laboratory work report: 60 %Midterm exam Written: 20 %Final exam Written: 20 %
Intended Learning Outcome
Students should gain proficiency in using laboratory equipment and tools, including measurement devices, data acquisition systems, and safety apparatus.Students should learn how to collect data accurately and precisely during experiments, and then analyze and interpret the results. This includes understanding sources of error and uncertainties in measurements.Students should be able to formulate hypotheses, design experiments to test them, and draw conclusions based on experimental data.Laboratory work should encourage critical thinking skills, helping students to evaluate the validity of experimental procedures and outcomes.Students should understand and apply the scientific method by making observations, formulating hypotheses, designing experiments, and drawing conclusions.Safety is paramount in laboratory work. Students should be aware of safety procedures, including proper handling of equipment, chemicals, and potential hazards.Students should learn how to design experiments, including selecting appropriate variables, controls, and methodologies to investigate specific physical phenomena.

Laboratory work should help students develop the ability to communicate their findings effectively through written lab reports and oral presentations.Many lab activities involve teamwork. Students should learn how to work effectively in groups, dividing tasks, and sharing responsibilities.Students should be able to adapt and troubleshoot experimental setups when issues or unexpected results arise.Laboratory work should reinforce the theoretical concepts covered in the lectures, helping students see how physics principles are applied in practice.Students should be aware of ethical considerations in experimental research, including data integrity and proper attribution of sources.The lab experience should foster an appreciation for the scientific process, showing students how scientific knowledge is built through empirical investigation.Students should learn how to properly care for and maintain laboratory equipment, ensuring the longevity and accuracy of the tools.

Module content

Lecture: Regulation and Laboratory Safety InductionEquipment introductionData AcquisitionData Processing Laboratory work activities: MeasurementStyle vectorGravity accelerationCollisionMoment of inertiaSurface tensionLinear expansion coefficientVolume expansion coefficientJoule constantHeat capacity

Recommended Literatures Laboratory

Laboratory Work Guide for Basic Physics 1

Wilson, J. D., & Hernández-Hall, C. A. (2019). Physics laboratory experiments (8th ed.). Cengage Learning. ISBN 978-1285738567.

Fu, H., & Balfour, E. A. (2017). Introductory physics experiments for undergraduates.

FST 6097113 Measurement and Calibration Systems

Module Name	Measurement and Calibration Systems
Module level, if applicable	Undergraduate
Module Identification Code	FST 6097113
Semester(s) in which the module is taught	1th
Person(s) responsible for the module	Elvan Yuniarti
Language	Bahasa Indonesia
Relation in Curriculum	Compulsory course for undergraduate program in Physics
Teaching methods, Contact hours	Lecture (Contextual Instruction and Simulation Method)Structured activities (Assignment Based on Simulation and Quiz)Self Study (Reading literature)Contract hours: 2 hour 30 minutes
Workload	Workload per semester (16 weeks) Lecture: 23 hoursMidterm and Final Exam: 3 hoursStructure and Self Study: 47 hoursTotal Workload: 73 hours
Credit points	2.76 ECTS
Admission and examination requirements	Enrolled in this course and minimum 80% attendance in lecture
Recommended prerequisites	–
Media employed	Board, LCD Projector, Laptop/Computer, Google Classroom
Forms of assessment	Structured assignment Quiz: 40 %Midterm exam Written: 30 %Final exam Written: 30 %
Intended Learning Outcome
After completing this course, the students should have: Understand the principles of measurement and calibration systems, including the importance of accuracy, precision, and reliability in measurement processes.Demonstrate proficiency in selecting appropriate measurement instruments and techniques for specific applications, considering factors such as range, resolution, and sensitivity.Apply mathematical concepts such as units, dimensions, and dimensional analysis to convert between different measurement systems and units effectively.Analyze measurement uncertainty and error sources, including systematic and random errors, and implement strategies to minimize and quantify measurement uncertainties.Develop practical skills in calibration procedures, including calibration traceability, calibration intervals, and documentation requirements, to ensure the accuracy and reliability of measurement systems.Demonstrate proficiency in using calibration standards and reference materials to calibrate measurement instruments accurately and traceably.
Apply statistical methods to monitor and improve measurement system performance and ensure consistency and reliability in measurement results.Develop critical thinking and problem-solving skills through hands-on laboratory exercises, case studies, and real-world applications, fostering a deeper understanding of measurement principles and practices.
Module content
Lecture (Class Work) Introduction to Measurement SystemsMeasurement Errors and Measuring InstrumentsMeasurement UncertaintyTypes of MeasurementsNormal Distribution in MeasurementRejection of Data in MeasurementCalibration
Recommended Literatures Morris, A. S., Langari, R., & Ruzhekov, T. (2017). Measurement and Instrumentation: Theory and Application. CRC Press. Beale, R. (2017). Mechanical Measurements. CRC Press. Northrop, R. B. (2018). Introduction to Instrumentation and Measurements (3rd ed.). CRC Press.

NAS 6013203 Indonesian Language Education

Module Name	Indonesian Language Education
Module level, if applicable	Undergraduate
Module Identification Code	NAS 6013203
Semester(s) in which the module is taught	2th
Person(s) responsible for the module	Didah Nurhamidah
Language	Bahasa Indonesia
Relation in Curriculum	Compulsory course for undergraduate program in Physics
Teaching methods, Contact hours	Lecture (Contextual Instruction and Discovery Learning Method).Structured activities (Assignments based on Quiz and Homework)Self Study (Reading literature and doing Homework)Contract hours: 2 hour 30 minutes
Workload	Workload per semester (16 weeks) Lecture: 35 hoursMidterm and Final Exam: 5 hoursStructure and Self Study: 56 hoursTotal Workload: 96 hours
Credit points	3.20 ECTS
Admission and examination requirements	Enrolled in this course and minimum 80% attendance in lecture
Recommended prerequisites	–
Media employed	Board, LCD Projector, Laptop/Computer, Google Classroom
Forms of assessment	Structured assignment Homework and Quiz: 40 %Midterm exam Written: 30 %Final exam Written: 30 %
Intended Learning Outcome
Students are able to speak in scientific presentations.Students can understand the development of the Indonesian language.Students can understand the use of letters and words.Students can understand borrowed words and punctuation.Students are able to use appropriate diction.Students are able to create effective sentences.Students are able to create proper paragraphs.Students understand plagiarism.Students are able to plan an essay.Students are able to reason accurately.Students are able to use scientific notation efficiently.Students are able to produce short writings correctly.Students are able to reproduce writings accurately.
Module content
Speaking in Scientific Presentations;
Development of the Indonesian Language;Usage of Letters and Words;Borrowed Elements, Punctuation, and Transliteration;Diction/Word Choice;Effective Sentences;Paragraphs;Scientific Ethics/Plagiarism;Essay Planning;Reasoning;Scientific Notation;Short Writing Production;Writing Reproduction.
Recommended Literatures Paramaditha, I. (2020). The Wandering. Gramedia Pustaka Utama. Lestari, D. (2017). Paper Boats. Penerbit Buku Kompas. Pasaribu, N. E. (2020). Sergius Seeks Bacchus. Gramedia Pustaka Utama. Boellstorff, T. (2020). The Gay Archipelago: Sexuality and Nation in Indonesia. Princeton University Press. Pamuntjak, L. (2020). The birdwoman’s palate. HarperCollins. Gaudiamo, R. (2021). The adventures of Na Willa. Nusa Rimba. Hollander, K. (2023). Tales of wonder: Folk myths of Indonesia. NUS Press. Suryadi, B. (2020). Language, culture, and identity in Indonesia. Penerbit Universitas Indonesia. Zuwir, H. (2022). Indonesian Literary Criticism in the 21st Century. Jakarta Literary Institute. Fitri, A. (2021). Indonesian Diction and Syntax: From Tradition to Modern Use. Penerbit Erlangga.

UIN 6021204 Arabic Language Education

Module Name	Arabic Language
Module level, if applicable	Undergraduate
Module Identification Code	UIN 6021204
Semester(s) in which the module is taught	2th
Person(s) responsible for the module	Achmad Fudhaili
Language	Bahasa Indonesia and Arabic
Relation in Curriculum	Compulsory course for undergraduate program in Physics
Teaching methods, Contact hours	Lecture (Contextual Instruction and Collaborative Learning).Structured activities (Assignments Based on Collaborative Learning and Homework)Self Study (Reading Literature)Contract hours: 2 hour 30 minutes
Workload	Workload per semester (16 weeks) Lecture: 35 hoursMidterm and Final Exam: 5 hoursStructure and Self Study: 56 hoursTotal Workload: 96 hours
Credit points	3.20 ECTS
Admission and examination requirements	Enrolled in this course and minimum 80% attendance in lecture
Recommended prerequisites	–
Media employed	Board, LCD Projector, Laptop/Computer, Google Classroom
Forms of assessment	Structured assignment Homework: 40 %Midterm exam Written: 30 %Final exam Written: 30 %
Intended Learning Outcome
After completing this course, the students should have: Developed a fundamental understanding of the Arabic language, including grammar, vocabulary, and pronunciation.Gained proficiency in reading and comprehending simple Arabic texts and expressions.Acquired basic conversational skills to engage in everyday discussions and interactions in Arabic.Expanded their vocabulary and functional language use for various common situations in Arabic.Enhanced their listening skills to grasp and interpret spoken Arabic in various contexts.Improved their writing skills to construct simple paragraphs and express ideas coherently in Arabic.Demonstrated cultural sensitivity and awareness when using Arabic in diverse social
and cultural settings. Acquired foundational knowledge of Arab culture, traditions, and societal norms related to language use.Exhibited the ability to introduce themselves and others in Arabic, and provide basic personal information.Shown proficiency in using Arabic for common activities like shopping, ordering food, giving directions, etc.Mastered the Arabic script and its application in reading and writing.Demonstrated the capability to describe people, places, and events in Arabic.Gained insights into the interconnectedness of language and culture in Arabic- speaking communities.Displayed readiness to further advance their Arabic language skills and pursue higher levels of proficiency.Successfully applied the learned language skills to practical situations, enhancing their overall Arabic language competence.
Module content
Introduction to Arabic Language and CultureArabic Alphabet and PronunciationBasic Arabic Vocabulary and ExpressionsGrammar FundamentalsArabic Reading and ComprehensionArabic Writing PracticeConversational ArabicArabic Vocabulary ExpansionListening and Speaking ProficiencyCultural Etiquette and PracticesIntermediate Grammar and Sentence StructureReading Comprehension and AnalysisExpressing Opinions and DescriptionsRole of Arabic in the Modern WorldFinal Project and Presentation
Recommended Literatures Jane Wightwick and Mahmoud Gaafar. (2019). Mastering Arabic Script: a Guide to Handwriting” Nasser Isleem and Ghazi Abuhakema. (2021). Arabis Language and Culture Through Art. Jane Wightwick and Mahmoud Gaafar. (2020). Practice Makes Perfect: Arabic Verb Tenses, 2nd Ed. Kristen Brustad., Mahmoud Al-Batal., and Abbas Al-Tonsi. (2021). Alif Baa: Introduction to Arabic Letters and Sounds, 4th Ed. Mahdi Alosh. (2020). Ahlan wa Sahlan: Functional Modern Standard Arabic for Beginners, 3rd Ed. Hezi Brosh and Lutfi Mansur. (2020). Arabic Stories for Language Learners: Taditional Middle Eastern Tales in Arabic and English. Mohammad T. Alhawary. (2021). Modern Standard Arabic Grammar: A Learner’s Guide. Faruk Abu-Chacra. (2021). Arabic: An Essential Grammar, 2nd Ed. Toufik Ben Amor. (2021). Developing Writing Skills in Arabic. Erwin Wendling. (2019). The Connectors in Modern Standard Arabic.

UIN 6033205 Qiroah and Worship Practicum

Module Name	Qiroah and Worship Practicum
Module level, if applicable	Undergraduate
Module Identification Code	UIN 6033205
Semester(s) in which the module is taught	2th
Person(s) responsible for the module	Syamsul Aripin
Language	Bahasa Indonesia and Arabic
Relation in Curriculum	Compulsory course for undergraduate program in Physics
Teaching methods, Contact hours	PracticumContract hours: 5 hours
Workload	Workload per semester (16 weeks) Laboratory Work: 70 hoursMidterm and Final Exam: 8 hoursStructure and Self Study: 37 hoursTotal Workload: 115 hours
Credit points	3.84 ECTS
Admission and examination requirements	Enrolled in this course and minimum 80% attendance in lecture
Recommended prerequisites	–
Media employed	Quran
Forms of assessment	Structured assignment Memorize the Quran: 40 %Midterm exam Written: 30 %Final exam Written: 30 %
Intended Learning Outcome
Students are able to master the theory of “tilawah” or the recitation, including the correct pronunciation of each Arabic letter based on its articulation and characteristics.Students are able to understand the theory of “tajwid” (rules of Quranic recitation) in the reading of the Quran and “gharib al-Quran” accurately and appropriately.Memorize short chapters and selected chapters of the Quran.Students comprehend the theory of both obligatory (“mahdlah”) and non-obligatory (“ghairu mahdlah”) worship through practical application.Capable of applying the correct pronunciation of Arabic letters with fluency.Capable of applying the knowledge of Tajwid (rules of Quranic recitation) in reading the Quran.Proficient in practicing both obligatory (“Mahdlah”) and non-obligatory (“ghairu mahdlah”) worship correctly and appropriately.
Module content
Theory of Tilawah (Recitation)Theory of Tajwid (Rules of Quranic Recitation)Quranic MemorizationUnderstanding Worship TheoryApplication of Correct PronunciationApplication of Tajwid KnowledgeProficient Worship Practice
Recommended Literatures Al-Hussary, M. A. (2021). The art of Qur’an recitation: Practical tajwid guide for learners. Dar Al-Taqwa. Al-Qahtani, A. (2020). Perfecting tajwid: An in-depth study of Qur’anic recitation rules. Islamic Foundation. Dabbagh, M. (2022). Learning tajweed: A step-by-step practical approach to Qur’anic pronunciation. Wisdom Publications. Hidayat, R., & Alwi, S. (2021). Tajwid praktis: Panduan lengkap membaca Al-Qur’an dengan benar. Pustaka Amanah. Saad, H. R. (2019). Tilawah and tajweed: Mastering the recitation of the Qur’an. Al-Huda Press. Rahman, A. A. (2022). Understanding worship: A practical guide to mahdlah and ghairu mahdlah acts in Islam. Darussalam Publications. Yusuf, A. (2020). Memorization of Qur’anic Surahs: Techniques and Strategies for Beginners. Islamic Academy Press. Hassan, A., & Karim, M. (2021). The beauty of Tajweed: Rules, Practice, and Articulation. Noorani Publishing. Umar, M. I. (2022). Practical Islamic Workship: Step-by-Step Guide to Daily Acts of Workship. Iqra Press. Halim, R., & Fadilah, T. (2019). Tajwid and Qira’ah: A Practical Guide for Learners and Practitioners. Nurul Hidayah Press.

FST 6091101 Information and Communication Technology

Module Name	Information and Communications Technology
Module level, if applicable	Undergraduate
Module Identification Code	FST6091101
Semester(s) in which the module is taught	2th
Person(s) responsible for the module	Mohamad Irvan Septiar Musti
Language	Bahasa Indonesia
Relation in Curriculum	Compulsory course for undergraduate program in Physics
Teaching methods, Contact hours	Lecture (Contextual Instruction and Case Study Method).Structured activities (Assignments Based on Case Study Approaches)Self Study (Reading Literature)Contract hours: 1 hour 40 minutes
Workload	Workload per semester (16 weeks) Lecture: 23 hoursMidterm and Final Exam: 3 hoursStructure and Self Study: 37 hoursTotal Workload: 64 hours
Credit points	2.13 ECTS
Admission and examination requirements	Enrolled in this course and minimum 80% attendance in lecture
Recommended prerequisites	–
Media employed	Board, LCD Projector, Laptop/Computer, Google Classroom
Forms of assessment	Structured assignment Case Study: 40 %Midterm exam Written: 30 %Final exam Written: 30 %
Intended Learning Outcome
Students are able to understand the history, role, and benefits of Information and Communication Technology (ICT).Students are able to explain an overview of computer systems.Students are able to explain the concepts and tasks of operating systems.Students are able to explain the history of Unix, Linux, and Windows operating systems.Students can explain the definition, benefits, and workings of computer networks and the internet.Students are able to explain the processes that occur at the OSI Layer.Students are able to explain the types of IP Addresses and how they work.Students can understand the development of computing and cloud computing.Students are able to explain the architecture, storage media, and security mechanisms in cloud computing.Students have the ability to describe various types of databases and provide explanations regarding the benefits of databases. Additionally, students can identify the uses and practical applications of databases in various industries and sectors.
Students have the ability to describe and understand the fundamental concepts of the Data Ecosystem, encompassing various important aspects of data management.Students have the ability to comprehensively explain programming languages. They understand the definition and purpose of programming languages and also comprehend the significant role of programming languages in software development.Students have the ability to comprehensively describe various aspects of cybercrime. They understand the definition of cybercrime, referring to illegal or harmful activities conducted online, including attacks and violations of computer systems and networks.
Module content
Introduction: History of the Development of Information and Communication TechnologyComputer systemOperating systemComputer Networks and Internet NetworksReference Model (OSI Layer)IP Address BasicsCloud Computing SystemArchitecture, Security Mechanisms and Storage Media in Cloud ComputingDatabase BasicsEcosystem DataProgramming languageCyber Crime and Security
Recommended Literatures Bunrap, Pete.et al. (2019). The Cybersecurity Body of Knowledge. The National Cyber Security Center. Andrew S Tanenbaum., David J Wetherall.(2011).Computer Netwrok. 5th ed. Pearson Education. Andrew S Tanenbaum., Herbert Bos. (2015). Modern Operating System. 5th ed. Pearson Education. Andrew S Tanenbaum., Albert S Woodhull. (2006). Operating System Design and Application. 3rd ed. Pearson Education. William Stallings. (2012). Operating System Internal and Design Principles. 7th ed. Pearson Education. Huawei Technologies Co., Ltd. (2019). Cloud Computing Technology. Springer

FST 6096201 Basic Chemistry

Module Name	Basic Chemistry
Module level, if applicable	Undergraduate
Module Identification Code	FST 6096201
Semester(s) in which the module is taught	2th
Person(s) responsible for the module	Ahmad Fathoni
Language	Bahasa Indonesia
Relation in Curriculum	Compulsory course for undergraduate program in Physics
Teaching methods, Contact hours	Lecture (Problem Based and Case Study Method)Structured activities (Assignments Based on Case Study Approaches)Self Study (Reading Literature)Contract hours: 2 hour 30 minutes
Workload	Workload per semester (16 weeks) Lecture: 35 hoursMidterm and Final Exam: 5 hoursStructure and Self Study: 70 hoursTotal Workload: 110 hours
Credit points	3.67 ECTS
Admission and examination requirements	Enrolled in this course and minimum 80% attendance in lecture
Recommended prerequisites	–
Media employed	Board, LCD Projector, Laptop/Computer, Google Classroom
Forms of assessment	Structured assignment Case Study: 20 %Midterm exam Written: 40 %Final exam Written: 40 %
Intended Learning Outcome
After completing this course, the students should have: Understand and apply the fundamental principles of chemistry, including atomic structure, chemical bonding, and the periodic table, to explain the behavior of matter at the atomic and molecular levels.Demonstrate proficiency in performing basic laboratory techniques, including measurement, observation, and data collection, while adhering to safety protocols and ethical guidelines.Apply stoichiometric principles to balance chemical equations, calculate quantities of reactants and products, and predict the outcome of chemical reactions.Identify and classify different types of chemical reactions, including acid-base reactions, precipitation reactions, and redox reactions, based on their observable characteristics and chemical properties.Understand the principles of chemical equilibrium and apply mathematical tools, including equilibrium constants and Le Chatelier’s principle, to analyze and predict the behavior of reversible reactions.
Demonstrate knowledge of the properties and behavior of gases, liquids, and solids, including the gas laws, intermolecular forces, and phase transitions.Apply basic principles of thermodynamics, including enthalpy, entropy, and free energy, to analyze energy changes in chemical reactions and predict reaction spontaneity.Understand the principles of solution chemistry, including solubility, concentration, and colligative properties, and apply these principles to analyze and manipulate solutions.Analyze the structure and properties of common classes of organic compounds, including hydrocarbons, alcohols, and carboxylic acids, and understand their significance in everyday life and industry.
Module content
Materials and Its ChangesAtomic StructurePeriodic System of ElementsChemical BondsStoichiometry (Basic calculations)Solution and Stoichiometry (Concentration of substance)Chemical EquilibriumAcid baseIntroduction to Organic Chemistry
Recommended Literatures Chang, R. (2018). Chemistry (13th ed.). McGraw-Hill Education.Masterton, W. L., Hurley, C. N., & Neth, E. J. (2018). Chemistry: Principles and Reactions (8th ed.). Cengage Learning.McMurry, J., Fay, R. C., & Robinson, J. K. (2017). Chemistry (7th ed.). Pearson.Brown, T. L., LeMay Jr, H. E., Bursten, B. E., Murphy, C., & Woodward, P. (2016). Chemistry: The Central Science (14th ed.). Pearson.Oxtoby, D. W., Gillis, H. P., & Campion, A. (2016). Principles of Modern Chemistry (8th ed.). Cengage Learning.

FST 6096202 Basic Chemistry Laboratory Work

Module Name	Basic Chemistry Laboratory Work
Module level, if applicable	Undergraduate
Module Identification Code	FST 6096202
Semester(s) in which the module is taught	1th
Person(s) responsible for the module	Ahmad Fathoni
Language	Bahasa Indonesia
Relation in Curriculum	Compulsory course for undergraduate program in Physics
Teaching methods, Contact hours	Laboratory workContract hours: 2 hour 30 minutes
Workload	Workload per semester (16 weeks) Laboratory Work: 35 hoursMidterm and Final Exam: 4 hoursStructure and Self Study: 23 hoursTotal Workload: 62 hours
Credit points	2.08 ECTS
Admission and examination requirements	Enrolled in this course and minimum 80% attendance in lecture
Recommended prerequisites	–
Media employed	Board, LCD Projector, and Laboratory work equipment (List in Laboratory Work Guide for Basic Chemistry)
Forms of assessment	Structured assignment Laboratory work report: 60 %Midterm exam Written: 20 %Final exam Written: 20 %
Intended Learning Outcome
Students should be able to demonstrate a thorough understanding of laboratory safety protocols, including proper handling of chemicals, safety equipment usage, and the identification of potential hazards.Students should develop proficiency in laboratory techniques, including measuring, mixing, and handling chemicals, as well as using common laboratory equipment such as glassware and balances.Students should be able to perform chemical analyses, including qualitative and quantitative analysis, and interpret the results effectively.Students should gain experience in collecting accurate and precise data during experiments. They should also learn to analyze and interpret experimental results, including identifying sources of error.The laboratory work should reinforce theoretical concepts covered in the lecture course, allowing students to observe chemical phenomena and understand the underlying principles.Students should learn how to design experiments, including selecting appropriate variables, controls, and methodologies to investigate specific chemical reactions or properties.
Laboratory work should foster critical thinking skills, helping students to evaluate the validity of experimental procedures and outcomes.Students should be able to formulate hypotheses, design experiments to test them, and draw conclusions based on experimental data.Students should be able to communicate their findings effectively through written lab reports and oral presentations.Students should develop skills in performing chemical calculations, including stoichiometry, concentration calculations, and molar mass determination.Students should gain a deeper understanding of chemical reactions, including identifying reaction types, balancing chemical equations, and predicting products.Students should investigate chemical properties, such as solubility, acidity, and redox behavior, and relate them to the behavior of chemical substances.Students should learn proper procedures for disposing of chemical waste safely and responsibly.Students should be aware of ethical considerations in experimental research, including data integrity and proper attribution of sources.Depending on the course and curriculum, students may explore how chemistry is connected to other scientific disciplines, such as biology, environmental science, or materials science.
Module content
Lecture: Regulation and Laboratory Safety InductionEquipment introduction Laboratory work activities: Experiment 1: Introduction to Chemical Laboratory Equipment as wellExperiment 2: Solution MakingExperiment 3: Changes in the Physical and Chemical Properties of Elements and CompoundsExperiment 4: Chemical reactionExperiment 5: Limiting ReactionExperiment 6: Unsaturated, saturated and supersaturated solutionsExperiment 7: Titration and Acid Base Equilibrium: pH Indicators and MeasurementsExperiment 8: Buffer SolutionExperiment 9: Chemical equilibrium
Recommended Literatures Chemistry Department Lecturer Team. (2023). Module of basic chemistry laboratory work I. Jakarta, Indonesia: Faculty of Science and Technology, UIN Syarif Hidayatullah Jakarta.

FST 6097121 Basic Physics 2

Module Name	Basic Physics 2
Module level, if applicable	Basic
Module Identification Code	FST 6097121
Semester(s) in which the module is taught	2th
Person(s) responsible for the module	Arif Tjahjono
Language	Bahasa Indonesia
Relation in Curriculum	Compulsory course for undergraduate program in Physics
Teaching methods, Contact hours	Lecture (Problem Based Learning and Cooperative Learning Method).Structured activities (Assignments Based on Cooperative Learning and Quiz)Self Study (Reading Literature)Contract hours: 2 hour 30 minutes
Workload	Workload per semester (16 weeks) Lecture: 35 hoursMidterm and Final Exam: 5 hoursStructure and Self Study: 84 hoursTotal Workload: 124 hours
Credit points	4.13 ECTS
Admission and examination requirements	Enrolled in this course and minimum 80% attendance in lecture
Recommended prerequisites	–
Media employed	Board, LCD Projector, Laptop/Computer, Google Classroom
Forms of assessment	Structured assignment Quiz: 30 %Midterm exam Written: 30 %Final exam Written: 40 %
Intended Learning Outcome
After completing this course, the students should have: Understand and apply fundamental principles of electricity and magnetism, including Coulomb’s law, Ohm’s law, and Faraday’s law of electromagnetic induction.Demonstrate proficiency in solving basic electric circuit problems, including series and parallel circuits, using Kirchhoff’s laws and circuit analysis techniques.Analyze the behavior of capacitors and inductors in DC and AC circuits, including their charging and discharging processes, resonance phenomena, and impedance calculations.Apply principles of electromagnetism to analyze the behavior of magnetic fields, including magnetic forces on moving charges and currents, magnetic field induction, and magnetic materials.Understand the principles of electromagnetic waves, including the properties of light waves, electromagnetic spectrum, and wave-particle duality, and their relevance to modern physics.
Apply basic principles of optics, including reflection, refraction, and lens systems, to analyze and predict the behavior of light in various optical systems.Demonstrate proficiency in solving basic wave phenomena problems, including wave interference, diffraction, and standing waves, using mathematical tools such as wave equations and superposition principles.
Module content
Lecture (Class Work) Electric charge and electric fieldElectric potentialElectric currentsDC circuitsMagnetismElectromagnet introduction and Faraday’s lawElectromagnetic wavesLight: Geometric OpticsThe wave nature of lightOptical instruments
Recommended Literatures Serway, R. A., Vuille, C., & Bennett, C. (2018). College Physics (11th ed.). Cengage Learning. Wolfson, R. (2017). Essential University Physics (3rd ed.). Pearson. Hewitt, P. G. (2016). Conceptual Physics (12th ed.). Pearson. Wilson, J. D., Buffa, A. J., & Lou, B. (2015). College Physics (8th ed.). Pearson. Giancoli, D. C. (2016). Physics: Principles with Applications Global Edition (7th ed.). Pearson.

FST 6097122 Basic Physics Laboratory Work 2

Module Name	Basic Physics Laboratory Work 2
Module level, if applicable	Undergraduate
Module Identification Code	FST 6097122
Semester(s) in which the module is taught	2th
Person(s) responsible for the module	Dewi Lestari
Language	Bahasa Indonesia
Relation in Curriculum	Compulsory course for undergraduate program in Physics
Teaching methods, Contact hours	Laboratory workGroup discussionContract hours: 2 hour 30 minutes
Workload	Workload per semester (16 weeks) Laboratory Work: 35 hoursMidterm and Final Exam: 4 hoursStructure and Self Study: 28 hoursTotal Workload: 67 hours
Credit points	2.23 ECTS
Admission and examination requirements	Enrolled in this course and minimum 80% attendance in lecture
Recommended prerequisites	–
Media employed	Board, LCD Projector, and Laboratory work equipment (List in Laboratory Work Guide for Basic Physics 2)
Forms of assessment	Structured assignment Laboratory work report: 60 %Midterm exam Written: 20 %Final exam Written: 20 %
Intended Learning Outcome
Students should gain proficiency in using laboratory equipment and tools, including measurement devices, data acquisition systems, and safety apparatus.Students should learn how to collect data accurately and precisely during experiments, and then analyze and interpret the results. This includes understanding sources of error and uncertainties in measurements.Students should be able to formulate hypotheses, design experiments to test them, and draw conclusions based on experimental data.Laboratory work should encourage critical thinking skills, helping students to evaluate the validity of experimental procedures and outcomes.Students should understand and apply the scientific method by making observations, formulating hypotheses, designing experiments, and drawing conclusions.Safety is paramount in laboratory work. Students should be aware of safety procedures, including proper handling of equipment, chemicals, and potential hazards.Students should learn how to design experiments, including selecting appropriate variables, controls, and methodologies to investigate specific physical phenomena.
Laboratory work should help students develop the ability to communicate their findings effectively through written lab reports and oral presentations.Many lab activities involve teamwork. Students should learn how to work effectively in groups, dividing tasks, and sharing responsibilities.Students should be able to adapt and troubleshoot experimental setups when issues or unexpected results arise.Laboratory work should reinforce the theoretical concepts covered in the lectures, helping students see how physics principles are applied in practice.Students should be aware of ethical considerations in experimental research, including data integrity and proper attribution of sources.The lab experience should foster an appreciation for the scientific process, showing students how scientific knowledge is built through empirical investigation.Students should learn how to properly care for and maintain laboratory equipment, ensuring the longevity and accuracy of the tools.
Module content
Lecture: Regulation and Laboratory Safety InductionEquipment introductionData AcquisitionData Processing Laboratory work activities: Magnetic field forcesOhm’s lawBiot savart’s lawKirchoff’s lawTransformerLensDifraction gradingInterferenceActive opticalNewton’s ring
Recommended Literatures Laboratory Work Guide for Basic Physics 2

FST 6097123 Mathematical Physics 1

Module Name	Mathematical Physics 1
Module level, if applicable	Undergraduate
Module Identification Code	FST 6097123
Semester(s) in which the module is taught	2th
Person(s) responsible for the module	Sitti Ahmiatri Saptari
Language	Bahasa Indonesia
Relation in Curriculum	Compulsory course for undergraduate program in Physics
Teaching methods, Contact hours	Lecture (Problem Based Learning and Collaborative Learning Method).Structured activities (Assignments Based on Collaborative Learning and Quiz)Self Study (Reading Literature)Contract hours: 3 hour 20 minutes
Workload	Workload per semester (16 weeks) Lecture: 47 hoursMidterm and Final Exam: 7 hoursStructure and Self Study: 93 hoursTotal Workload: 147 hours
Credit points	5.20 ECTS
Admission and examination requirements	Enrolled in this course and minimum 80% attendance in lecture
Recommended prerequisites	–
Media employed	Board, LCD Projector, Laptop/Computer, Google Classroom
Forms of assessment	Structured assignment Quiz: 30 %Midterm exam Written: 30 %Final exam Written: 40 %
Intended Learning Outcome
After completing this course, the students should have: Demonstrate proficiency in advanced mathematical techniques relevant to the study of physics, including vector calculus, differential equations, and complex analysis.Apply mathematical methods such as partial differentiation, gradient, divergence, and curl to analyze vector fields and solve problems in classical mechanics, electromagnetism, and fluid dynamics.Solve ordinary and partial differential equations commonly encountered in physics, including linear and nonlinear equations, using analytical and numerical methods.Understand the principles of classical mechanics, including Newton’s laws of motion, Lagrangian and Hamiltonian mechanics, and their mathematical formulations, and apply these principles to analyze and predict the motion of particles and systems.Apply mathematical techniques such as Fourier series and transforms to analyze periodic phenomena, including vibrations and waves, and solve problems involving boundary value problems and initial value problems.
Understand the mathematical foundations of electromagnetism, including Maxwell’s equations and their solutions in various coordinate systems, and apply these principles to analyze and predict the behavior of electromagnetic fields and waves.Apply complex analysis techniques, including contour integration and residue calculus, to analyze and solve problems involving complex-valued functions and their applications in physics, such as in quantum mechanics and fluid dynamics.
Module content
Lecture (Class Work) Vector AlgebraVector DifferentiationGradient, Divergences, and CurlVector IntegrationMatricesDeterminantEigenvalue and EigenvectorDifferential Equations
Recommended Literatures Kreyszig, E. (2018). Advanced Engineering Mathematics (10th ed.). Wiley. Blanchard & Brüning. (2015). Mathematical Methods in Physics: Distributions, Hilbert Space and Variational Methods, 2nd ed. Felder & Felder.(2015). Mathematical Methods in Engineering and Physics. Whelan. (2016). A First Course in Mathematical Physics. Arfken, Weber & Harris. (2018). Mathematical Methods for Physicists, 8th ed. Karapetyants & Kravchenko. (2022). Methods of Mathematical Physics: Classical and Modern (Birkhäuser). Wyld & Powell. (2022). Mathematical Methods for Physics, 45th Anniversary Edition, 2nd ed. Kreyszig. (2025). Advanced Engineering Mathematics, 11th ed. (International Adaptation).

UIN 6032202 Islam and Science

Module Name	Islam and Science
Module level, if applicable	Undergraduate
Module Identification Code	FST 6032202
Semester(s) in which the module is taught	3th
Person(s) responsible for the module	Fardiana Fikria Qur’any
Language	Bahasa Indonesia
Relation in Curriculum	Compulsory course for undergraduate program in Physics
Teaching methods, Contact hours	Lecture (Contextual Instruction and Cooperative Learning Method).Structured activities (Assignments Based on Cooperative Learning and Homework)Self Study (Reading Literature)Contract hours: 2 hour 30 minutes
Workload	Workload per semester (16 weeks) Lecture: 35 hoursMidterm and Final Exam: 5 hoursStructure and Self Study: 56 hoursTotal Workload: 96 hours
Credit points	3.20 ECTS
Admission and examination requirements	Enrolled in this course and minimum 80% attendance in lecture
Recommended prerequisites	–
Media employed	Board, LCD Projector, Laptop/Computer, Google Classroom
Forms of assessment	Structured assignment Homework: 40 %Midterm exam Written: 30 %Final exam Written: 30 %
Intended Learning Outcome
After completing this course, Students can identify and discuss the relationships between science, philosophy, and religion, understand the history of the development of science, and the integration of knowledge from classical to modern times. The study includes aspects of research and discoveries in the field of science related to themes such as human beings, technology, health, social psychology, culture, politics, economics, and so on.
Module content
Introduction to Science, Philosophy, and Religion RelationshipsHistorical Development of ScienceIntegration of Knowledge from Classical to Modern TimesResearch and Discoveries in Various Scientific ThemesScience and Human BeingsScience and TechnologyScience and HealthScience and Social PsychologyScience and CultureScience and Politics
Science and EconomicsIntegration and Interdisciplinary AspectsCritical Analysis and DebatesFuture Trends and Implications
Recommended Literatures Al-Quran al-Karim dan Terjemah Tafsiriyah Ahmad, K. (2020). Islam and science: An intellectual reappraisal. Islamic Book Trust. Nasr, S. H. (2021). Science and civilization in Islam (New ed.). Harvard University Press. Dhanani, A. (2018). The physical world in the Islamic thought: Essential readings in classical and modern texts. Brill. Lumbard, J. E. B. (2022). Islamic science and the making of the European Renaissance. Harvard University Press. Alatas, S. F. (2019). Applying Ibn Khaldun: The recovery of a lost tradition in sociology. Routledge. Ashworth, W. J., & Elshakry, M. T. (2021). Islamic cosmopolitanism: History, science, and culture. Oxford University Press. Daiber, H. (2020). Knowledge and science in classical Islam: Religious and philosophical foundations. Brill. Osman, A. (2018). Islam and science: The linkages between religion and modern scientific thought. I.B. Tauris. Mozaffari, M. (2019). Science and religion in Islam: The life of reason in Islamic thought. Cambridge University Press. Saliba, G. (2021). Islamic science and the scientific revolution: The legacy of medieval Arab-Islamic science. MIT Press.

FST 6095120 Natural Resource Management

Module Name	Natural Resources Management
Module level, if applicable	Undergraduate
Module Identification Code	FST 6095120
Semester(s) in which the module is taught	3th
Person(s) responsible for the module	Lily Surraya Eka PutriAmbran Hartono
Language	Bahasa Indonesia
Relation in Curriculum	Compulsory course for undergraduate program in Physics
Teaching methods, Contact hours	Lecture (Contextual Instruction and Collaborative Learning Method).Structured activities (Assignments Based on Collaborative Learning and Homework)Self Study (Reading Literature)Contract hours: 1 hour 40 minutes
Workload	Workload per semester (16 weeks) Lecture: 23 hoursMidterm and Final Exam: 3 hoursStructure and Self Study: 37 hoursTotal Workload: 64 hours
Credit points	2.13 ECTS
Admission and examination requirements	Enrolled in this course and minimum 80% attendance in lecture
Recommended prerequisites	–
Media employed	Board, LCD Projector, Laptop/Computer, Google Classroom
Forms of assessment	Structured assignment Homework: 40 %Midterm exam Written: 30 %Final exam Written: 30 %
Intended Learning Outcome
After completing this course, the students should have: Understand the principles and concepts of natural resources management, including the sustainable use, conservation, and restoration of ecosystems and biodiversity.Demonstrate knowledge of the environmental, social, economic, and political factors influencing natural resource management decisions at local, regional, and global scales.Analyze and evaluate the interactions between human activities and natural systems, including the impacts of land use change, pollution, climate change, and invasive species on natural resources.Apply interdisciplinary approaches and tools, including Geographic Information Systems (GIS), remote sensing, and statistical analysis, to assess and monitor natural resources and ecosystem services.
Develop and implement effective management strategies for sustainable natural resource use, including habitat conservation, water resource management, and sustainable agriculture practices.Understand the role of policy and governance mechanisms in natural resources management, including regulations, incentives, and stakeholder engagement processes.Demonstrate proficiency in communication and collaboration skills necessary for effective natural resources management, including the ability to work with diverse stakeholders and communities.Apply ethical principles and considerations, including equity, justice, and indigenous rights, to address challenges and conflicts in natural resources management.
Module content
Lecture (Class Work) Konsep ekologi, Ilmu lingkungan dan SDAMasalah lingkungan globalPengelolaan sumberdaya air (tawar dan laut) dan pesisirPengelolaan hutanPengelolaan udara dan airPresentasi (studi kasus)Presentasi (studi kasus)Pengelolaan energiPengelolaan mineralKependudukanPembangunan berkelanjutan (SDGs)Pengantar AMDALPresentasi (studi kasus)Presentasi (studi kasus)
Recommended Literatures Brantley Kelley. (2017). Natural Resources: Conservation and Management. Larsen and Keller Education David A. Anderson. (2019). Environmental Economics and Natural Resource Management (5th ed.). Routledge David A. Anderson. (2025). Environmental Economics and Natural Resource Management (6th ed.). Routledge Thomas H. Tietenberg & Lynne Lewis. (2016). Environmental and Natural Resource Economics. Routledge Jonathan M. Harris & Brian Roach (eds.). (2021). Environmental and Natural Resource Economics: A Contemporary Approach (5th ed.)

FST 6097131 Mathematical Physics 2

Module Name	Mathematical Physics 2
Module level, if applicable	Undergraduate
Module Identification Code	FST 6097131
Semester(s) in which the module is taught	3th
Person(s) responsible for the module	Sitti Ahmiatri Saptari
Language	Bahasa Indonesia
Relation in Curriculum	Compulsory course for undergraduate program in Physics
Teaching methods, Contact hours	Lecture (Problem Based Learning and Collaborative Learning Method)Structured activities (Assignments Based on Collaborative Learning and Quiz)Self Study (Reading Literature)Contract hours: 3 hour 20 minutes
Workload	Workload per semester (16 weeks) Lecture: 47 hoursMidterm and Final Exam: 7 hoursStructure and Self Study: 93 hoursTotal Workload: 147 hours
Credit points	5.51 ECTS
Admission and examination requirements	Enrolled in this course and minimum 80% attendance in lecture
Recommended prerequisites	–
Media employed	Board, LCD Projector, Laptop/Computer, Google Classroom
Forms of assessment	Structured assignment Quiz: 30 %Midterm exam Written: 30 %Final exam Written: 40 %
Intended Learning Outcome
After completing this course, the students should have: Understand and apply advanced mathematical methods relevant to the study of theoretical physics, including complex analysis, Fourier analysis, and group theory.Utilize mathematical techniques such as tensor calculus and differential geometry to describe and analyze the geometry and curvature of spacetime in the context of general relativity.Demonstrate proficiency in solving advanced differential equations, including partial differential equations of mathematical physics, such as the wave equation, heat equation, and Schrödinger equation, using analytical and numerical methods.Apply mathematical formalism to describe quantum mechanics, including the principles of wave-particle duality, quantum superposition, and the probabilistic interpretation of quantum states.Understand the mathematical foundations of quantum mechanics, including Hilbert spaces, operators, and Dirac notation, and apply these principles to analyze and solve problems in quantum mechanics.
Analyze and interpret mathematical representations of physical observables in quantum mechanics, including expectation values, probability distributions, and quantum mechanical measurements.Apply group theory techniques to analyze the symmetries and conservation laws of physical systems, including applications in quantum mechanics, particle physics, and condensed matter physics.
Module content
Lecture (Class Work) Complex AlgebraComplex DifferentiationCauchy-Riemann ConditionsCauchy’s Integral TheoremCauchy’s Integral FormulaInfinite SeriesLaurent ExpansionCalculus of Residues
Recommended Literatures Kreyszig, E. (2018). Advanced Engineering Mathematics (10th ed.). Wiley. Blanchard & Brüning. (2015). Mathematical Methods in Physics: Distributions, Hilbert Space and Variational Methods, 2nd ed. Felder & Felder.(2015). Mathematical Methods in Engineering and Physics. Whelan. (2016). A First Course in Mathematical Physics. Arfken, Weber & Harris. (2018). Mathematical Methods for Physicists, 8th ed. Karapetyants & Kravchenko. (2022). Methods of Mathematical Physics: Classical and Modern (Birkhäuser). Wyld & Powell. (2022). Mathematical Methods for Physics, 45th Anniversary Edition, 2nd ed. Kreyszig. (2025). Advanced Engineering Mathematics, 11th ed. (International Adaptation).

FST 6097132 Wave

Module Name	Wave
Module level, if applicable	Undergraduate
Module Identification Code	FST 6097132
Semester(s) in which the module is taught	3th
Person(s) responsible for the module	Biaunik Niski Kumila
Language	Bahasa Indonesia
Relation in Curriculum	Compulsory course for undergraduate program in Physics
Teaching methods, Contact hours	Lecture (Flipped Learning and Group Discussion Method)Structured activities (Assignments Based on Group Discussion and Quiz)Self Study (Watch Video and Reading Literature)Contract hours: 2 hour 30 minutes
Workload	Workload per semester (16 weeks) Lecture: 35 hoursMidterm and Final Exam: 5 hoursStructure and Self Study: 84 hoursTotal Workload: 124 hours
Credit points	4.13 ECTS
Admission and examination requirements	Enrolled in this course and minimum 80% attendance in lecture
Recommended prerequisites	–
Media employed	Board, LCD Projector, Laptop/Computer, Google Classroom
Forms of assessment	Structured assignment Quiz: 40 %Midterm exam Written: 30 %Final exam Written: 30 %
Intended Learning Outcome
After completing this course, the students should have: Understand the fundamental properties of waves, including wave propagation, wave behavior, and wave characteristics such as frequency, wavelength, and amplitude.Analyze and describe different types of waves, including mechanical waves (such as sound waves and seismic waves) and electromagnetic waves (such as light waves and radio waves), and understand their similarities and differences.Apply mathematical techniques, including wave equations and trigonometric functions, to describe and analyze the behavior of waves in various media and under different conditions.Demonstrate proficiency in solving problems involving wave interference, diffraction, and polarization, using mathematical and conceptual tools to predict and explain observed wave phenomena.
Understand the principles of wave reflection, refraction, and dispersion, and apply these principles to analyze and predict the behavior of waves at boundaries between different media.Analyze and interpret graphical representations of waves, including wave diagrams, wave spectra, and waveforms, to extract relevant information and make predictions about wave behavior.Apply wave principles to analyze and solve problems in practical applications, including acoustics, optics, telecommunications, and signal processing.
Module content
Lecture (Class Work) Wave MotionMechanical Waves: Sound Waves in solid, liquid and gas; Efek DopplerRefleksi and Standing wavesSpherical Waves, Multidimension Waves and Waves on non-uniform mediumElectromagnetic Waves: RadiationInterference and DiffractionGeometrical OpticsParticle Nature of LightFourier Analysis and Laplace TransformationNon-linear Waves
Recommended Literature Fleisch & Kinnaman. (2015). A Student’s Guide to Waves. Cambridge Univ. Press Fernando Espinoza. (2018). Wave Motion as Inquiry: The Physics and Applications of Light and Sound. Springer Cham Urone & Hinrichs. (2022). College Physics 2e – Unit 16: Waves. OpenStax (CC attribution) Ling, Moebs & Sanny. (2016). University Physics Volume 1 (gelombang & osilasi). OpenStax (CC)

FST 6097133 Thermodynamics

Module Name	Thermodynamics
Module level, if applicable	Undergraduate
Module Identification Code	FST 6097133
Semester(s) in which the module is taught	3th
Person(s) responsible for the module	Biaunik Niski Kumila
Language	Bahasa Indonesia
Relation in Curriculum	Compulsory course for undergraduate program in Physics
Teaching methods, Contact hours	Lecture (Flipped Learning and Group Discussion Method)Structured activities (Assignments Based on Group Discussion and Quiz)Self Study (Watch Video and Reading Literature)Contract hours: 2 hour 30 minutes
Workload	Workload per semester (16 weeks) Lecture: 35 hoursMidterm and Final Exam: 5 hoursStructure and Self Study: 84 hoursTotal Workload: 124 hours
Credit points	4.13 ECTS
Admission and examination requirements	Enrolled in this course and minimum 80% attendance in lecture
Recommended prerequisites	–
Media employed	Board, LCD Projector, Laptop/Computer, Google Classroom
Forms of assessment	Structured assignment Quiz: 40 %Midterm exam Written: 30 %Final exam Written: 30 %
Intended Learning Outcome
After completing this course, the students should have: Understand the fundamental principles of thermodynamics, including the laws of thermodynamics and their applications to the behavior of energy and matter in physical systems.Analyze and describe the macroscopic properties of thermodynamic systems, including temperature, pressure, volume, and internal energy, using appropriate mathematical formalism and conceptual frameworks.Apply the first law of thermodynamics (the conservation of energy principle) to analyze energy transfer processes, including heat transfer, work done, and changes in internal energy, in various thermodynamic systems.Apply the second law of thermodynamics (the entropy principle) to analyze the directionality of thermodynamic processes, including heat engines, refrigerators, and the efficiency of energy conversion devices.
Understand the concepts of thermodynamic equilibrium, reversible and irreversible processes, and entropy changes, and apply these concepts to analyze and predict the behavior of thermodynamic systems.Analyze and interpret thermodynamic diagrams, including pressure-volume (PV) diagrams and temperature-entropy (TS) diagrams, to visualize and understand thermodynamic processes and cycles.Apply thermodynamic principles to analyze and solve problems in practical applications, including heat transfer, phase transitions, and thermodynamic cycles, in engineering, environmental science, and other fields.Understand the principles of statistical thermodynamics and their connection to microscopic properties of matter, including the Boltzmann distribution, partition functions, and the statistical interpretation of entropy.
Module content
Lecture (Class Work) Temperatures and Zeroth Law of ThermodynamicsThermodynamics SystemsWorkHeat and First Law of ThermodynamicsIdeal GasSecond Law of ThermodynamicsKarnot Cycle
Recommended Literatures Gaskell, D. R., & Laughlin, D. E. (2017). Introduction to the Thermodynamics of Materials (6th ed.). CRC Press. Turns, S. R., & Pauley, L. L. (2020). Thermodynamics: Concepts and Applications. Cambridge University Press Yunus A. Çengel, Michael A. Boles, & Mehmet Kanoglu. (2018). Thermodynamics: An Engineering Approach (9th ed.). McGraw-Hill Education Claus Borgnakke & Richard E. Sonntag. (2017). Fundamentals of Thermodynamics (9th ed.). Wiley Michael J. Moran, Howard N. Shapiro, Daisie D. Boettner & Margaret B. Bailey. (2017). Fundamentals of Engineering Thermodynamics (9th ed.). Wiley. J.M. Smith, H.C. Van Ness, M.M. Abbott & M.T. Swihart — 2017. Introduction to Chemical Engineering Thermodynamics (8th ed.). McGraw-Hill Sebastian Deffner & Steve Campbell. (2019). Quantum Thermodynamics: An Introduction to the Thermodynamics of Quantum Information. IOP/Morgan & Claypool

FST 6097134 Modern Physics

Module Name	Modern Physics
Module level, if applicable	Undergraduate
Module Identification Code	FST 6097134
Semester(s) in which the module is taught	3th
Person(s) responsible for the module	Edi Sanjaya
Language	Bahasa Indonesia
Relation in Curriculum	Compulsory course for undergraduate program in Physics
Teaching methods, Contact hours	Lecture (Coopertive Learning)Structured activities (Assignments Based on Cooperative Learning and Quiz)Self Study (reading literature)Contract hours: 2 hour 30 minutes
Workload	Workload per semester (16 weeks) Lecture: 35 hoursMidterm and Final Exam: 5 hoursStructure and Self Study: 84 hoursTotal Workload: 124 hours
Credit points	4.13 ECTS
Admission and examination requirements	Enrolled in this course and minimum 80% attendance in lecture
Recommended prerequisites	–
Media employed	Board, LCD Projector, Laptop/Computer, Google Classroom
Forms of assessment	Structured assignment Quiz: 20 %Midterm exam Written: 40 %Final exam Written: 40 %
Intended Learning Outcome
After completing this course, the students should have: Understand the foundational principles of modern physics, including relativity and quantum mechanics, and their implications for our understanding of the universe at both macroscopic and microscopic scales.Analyze and describe the principles of special relativity, including time dilation, length contraction, and relativistic mass, and apply these principles to solve problems involving relativistic motion and dynamics.Understand the principles of general relativity and their applications to the gravitational interaction between masses, including the bending of light and the curvature of spacetime.Analyze the principles of quantum mechanics, including wave-particle duality, the uncertainty principle, and quantum states and observables, and apply these principles to solve problems in quantum mechanics.Understand the mathematical formalism of quantum mechanics, including wavefunctions, operators, and the Schrödinger equation, and apply this formalism to analyze and solve quantum mechanical systems.
Analyze and interpret the behavior of particles and systems described by quantum mechanics, including one-dimensional and three-dimensional systems, potential wells, and harmonic oscillators.Understand the principles of quantum mechanics applied to multi-particle systems, including identical particles, spin, and quantum statistics, and apply these principles to analyze systems of interacting particles.Understand the principles of quantum mechanics applied to atomic and molecular systems, including atomic structure, molecular bonding, and spectroscopy, and apply these principles to solve problems in atomic and molecular physics.
Module content
Lecture (Class Work) Review of Classical PhysicsSpecial Theory of RelativityQuantum Theory of LightWave Properties of ParticlesParticle Properties of WavesSchrödinger’s Equation and Its ApplicationsRutherford-Bohr Model of the AtomHydrogen AtomAtoms with Many ElectronsSolid StateNuclear Structure and Radioactivity
Recommended Literatures Krane, K. S. (2018). Modern Physics (3rd ed.). Wiley. Serway, R. A., Moses, C. J., & Moyer, C. A. (2018). Modern Physics (4th ed.). Cengage Learning. Thornton, S. T., & Rex, A. F. (2018). Modern Physics for Scientists and Engineers (5th ed.). Cengage Learning. Gary N. Felder & Kenny M. Felder. (2022). Modern Physics. Cambridge University Press Hugh D. Young & Roger A. Freedman. (2015). University Physics with Modern Physics, 14th ed. Pearson Hugh D. Young & Roger A. Freedman. (2019). University Physics with Modern Physics, 15th ed. Pearson Carol Hood, Stephen Thornton & Andrew Rex. (2020). Modern Physics for Scientists and Engineers, 5th ed. Amazon.sg John Taylor, Chris Zafiratos & Michael A. Dubson. (2020). Modern Physics for Scientists and Engineers, 2nd ed. Pearson J. J. Sakurai & Jim Napolitano. (2020). Modern Quantum Mechanics, 3rd ed. Cambridge University Press

FST 6094135 Numerical Methods

Module Name	Numerical Methods
Module level, if applicable	Undergraduate
Module Identification Code	FST 6094135
Semester(s) in which the module is taught	3th
Person(s) responsible for the module	Praditiyo Riyadi
Language	Bahasa Indonesia
Relation in Curriculum	Compulsory course for undergraduate program in Physics
Teaching methods, Contact hours	Lecture (Problem Based Learning and Group Discussion Method)Structured Activities (Assignments Based on Group Discussion and Quiz)Self Study (Reading Literature)Contract hours: 1 hour 40 minutes
Workload	Workload per semester (16 weeks) Lecture: 23 hoursMidterm and Final Exam: 3 hoursStructure and Self Study: 47 hoursTotal Workload: 73 hours
Credit points	2.44 ECTS
Admission and examination requirements	Enrolled in this course and minimum 80% attendance in lecture
Recommended prerequisites	–
Media employed	Board, LCD Projector, Laptop/Computer, Google Classroom
Forms of assessment	Structured assignment Quiz: 40 %Midterm exam Written: 30 %Final exam Written: 30 %
Intended Learning Outcome
After completing this course, the students should have: Understand the fundamental principles of numerical methods and their applications in solving mathematical problems encountered in science and engineering.Demonstrate proficiency in implementing numerical algorithms to solve mathematical problems, including techniques such as root-finding, interpolation, numerical integration, and differential equation solving.Analyze the accuracy, stability, and convergence properties of numerical methods, including error analysis and numerical stability considerations, to assess the reliability of numerical solutions.Apply numerical techniques to solve problems in linear algebra, including systems of linear equations, eigenvalue problems, and matrix factorization, using direct and iterative methods.Understand the principles of numerical differentiation and integration, including finite difference methods and numerical quadrature, and apply these techniques to approximate derivatives and integrals of functions.
6. Apply numerical methods to solve initial value problems and boundary value problems in ordinary and partial differential equations, using techniques such as finite difference methods, finite element methods, and spectral methods.
Module content
Lecture (Class Work) Numerical Methods in GeneralTaylor Series and Error AnalysisSolution of Nonlinear EquationsSolutions to Systems of Linear EquationsInterpolation and RegressionNumerical IntegrationNumerical DerivativesSolution of Ordinary Differential Equations
Recommended Literatures Chapra, S. C., & Canale, R. P. (2019). Numerical Methods for Engineers (8th ed.). McGraw-Hill Education. Burden, R. L., & Faires, J. D. (2016). Numerical Analysis (10th ed.). Cengage Learning. Steven C. Chapra & Raymond P. Canale. (2021). Numerical Methods for Engineers, 8th ed. McGraw-Hill Education. James F. Epperson. (2021). An Introduction to Numerical Methods and Analysis, 3rd ed. Wiley. M.K. Jain. (2022). Numerical Methods for Scientific and Engineering Computation, 8th ed. New Age International. George Lindfield & John Penny. (2025). Numerical Methods Using MATLAB, 5th ed. Elsevier. Tobin A. Driscoll & Richard J. Braun. (2022). Fundamentals of Numerical Computation: Julia Edition. SIAM.

FST 6097136 Physics Experiment 1

Module Name	Physics Experiment 1
Module level, if applicable	Undergraduate
Module Identification Code	FST 6097112
Semester(s) in which the module is taught	3th
Person(s) responsible for the module	Agus Budiono
Language	Bahasa Indonesia
Relation in Curriculum	Compulsory course for undergraduate program in Physics
Teaching methods, Contact hours	Laboratory workGroup discussionContract hours: 5 hours
Workload	Workload per semester (16 weeks) Laboratory Work: 70 hoursMidterm and Final Exam: 8 hoursStructure and Self Study: 56 hoursTotal Workload: 134 hours
Credit points	5.40 ECTS
Admission and examination requirements	Enrolled in this course and minimum 80% attendance in lecture
Recommended prerequisites	–
Media employed	Board, LCD Projector, and Laboratory work equipment (List in Laboratory Work Guide for Physics Experiment 1)
Forms of assessment	Structured assignment Laboratory work report: 60 %Midterm exam Written: 20 %Final exam Written: 20 %
Intended Learning Outcome
Students should develop proficiency in fundamental experimental skills, such as using laboratory equipment, measuring quantities, and making observations.Gain a solid understanding of measurement techniques, including the use of various instruments like rulers, calipers, micrometers, and scientific scales.Learn how to collect and record data accurately and systematically during experiments. Develop the ability to analyze and interpret data, including identifying sources of error.Begin to understand the process of experimental design, including identifying variables, controls, and appropriate methodologies to investigate physical phenomena.Students should be able to formulate hypotheses and design experiments to test these hypotheses. They should also develop the ability to draw conclusions based on experimental data.Understand and practice laboratory safety protocols and ethical conduct in experimental research, including proper handling of chemicals and equipment.
Develop a foundational understanding of the scientific method, including making observations, formulating hypotheses, designing experiments, and drawing conclusions based on evidence.Begin to communicate scientific findings effectively, including writing clear and concise lab reports and presenting experimental results orally.Encourage critical thinking by evaluating the validity of experimental procedures and results, as well as understanding the implications of findings.Develop basic quantitative analysis skills, such as performing calculations, graphing data, and applying mathematical concepts to interpret experimental results.Gain a basic conceptual understanding of the physical principles underlying the experiments performed, connecting theory to practice.Understand the practical applications and relevance of physics experiments to everyday life and other scientific disciplines.Develop problem-solving skills by applying physics principles to real-world situations and by troubleshooting experimental setups and unexpected results.Become familiar with common laboratory equipment, including its setup and operation.Practice effective teamwork when conducting group experiments, sharing responsibilities, and collaborating with fellow students.
Module content
Lecture: Regulation and Laboratory Safety InductionEquipment introductionData AcquisitionData Processing Laboratory work activities: MicrowaveSpecific Charge of ElectronBlack Body RadiationPlanck’s ConstantRadioactive RadiationGamma Spectroscopy
Recommended Literatures Laboratory Work Guide for Physics Experiment 1 Peter J. Polito, James E. Walsh & Jeff L. Gagnon. (2025). Investigations in Experimental Physics, 10th Edition — Open Textbook (PDF, CC BY-NC-SA) Wilson & Hernández. (2015). Physics Laboratory Experiments, 8th Edition. Cengage Tuan Azmar Tuan Daud dkk. (2020). Laboratory Manual for General Physics. Addeen Best Solution

FST 6092035 Technopreneurship

Module Name	Technopreneurship
Module level, if applicable	Bachelor
Module Identification Code	FST 6092035
Semester(s) in which the module is taught	4th
Person(s) responsible for the module	Agus Budiono
Language	Bahasa Indonesia
Relation in Curriculum	Compulsory course for undergraduate program in Physics
Teaching methods, Contact hours	Lecture (conceptual, contextual and problem-solving approaches through expository, discussions and exercises).Structured activities (assignments based on conceptual, contextual and problem- solving approaches)Self Study (reading literature)Contract hours: 1 hour 40 minutes
Workload	Workload per semester (16 weeks) Lecture: 23 hoursMidterm and Final Exam: 3 hoursStructure and Self Study: 37 hoursTotal Workload: 64 hours
Credit points	2.13 ECTS
Admission and examination requirements	Enrolled in this course and minimum 80% attendance in lecture
Recommended prerequisites	–
Media employed	Board, LCD Projector, Laptop/Computer, Google Classroom
Forms of assessment	Structured assignment Quiz: 40 %Midterm exam Written: 30 %Final exam Written: 30 %
Intended Learning Outcome
This Technopreneurship course is designed to provide knowledge, skills and abilities to students regarding the development of entrepreneurial concepts, the role of creativity, innovation, and various intelligences in entrepreneurship, as well as various matters related to preparation to become Technopreneurship
Module content
Definition of Technopreneurship/EntrepreneurshipEthics, Functions and Principles of Technopreneurship/Entrepreneurship.Type and Field of Business.Business Plan.Business Feasibility Analysis.Establishing a Business.Business Risk.Business Expansion and Succession.
Factors for Business Success and FailureIslam Against Technopreneurship / Entrepreneurship.Able to understand Engineering ConsultantsDigital technopreneurshipPlanning consultants, supervisors and constructorsProduct engineering systems engineering
Recommended Literatures Buku Ajar Technopreneurship, Dr.Ir. Agus Budiono, MT.2022 Inayah, Nur, Achmad Tjachja, and Moh. Irvan. (2021). Introduction to Entrepreneurship. Andi Publisher: Yogyakarta. Taneja, S. (2020). Technopreneurship: An Entrepreneurial Approach to the Digital Economy. Springer. Kuratko, D. F., & Morris, M. H. (2021). Corporate Innovation and Entrepreneurship: A Case Study Approach. Cengage Learning. McGrath, R. G., & MacMillan, I. C. (2021). Discovery Driven Growth: A Breakthrough Process to Create and Capture the Value of New Ventures. Harvard Business Review Press. Hisrich, R. D., Peters, M. P., & Shepherd, D. A. (2021). Entrepreneurship (11th ed.). McGraw-Hill Education. Stevenson, H. H., & Jarillo, J. C. (2021). The Entrepreneurial Venture (4th ed.). Pearson. Drucker, P. F. (2021). Innovation and Entrepreneurship: Practice and Principles. Routledge. Schilling, M. A. (2021). Strategic Management of Technological Innovation (6th ed.). McGraw-Hill Education. Ries, E. (2020). The Lean Startup: How Today’s Entrepreneurs Use Continuous Innovation to Create Radically Successful Businesses. Crown Publishing Group. Ratten, V. (2020). Technological Entrepreneurship: The Role of Knowledge and Innovation. Routledge. Binns, A. (2021). Entrepreneurship and Innovation: A Case Study Approach. Oxford University Press.

FST 6097141 Mathematical Physics 3

Module Name	Mathematical Physics 3
Module level, if applicable	Undergraduate
Module Identification Code	FST 6097141
Semester(s) in which the module is taught	4th
Person(s) responsible for the module	Muhammad Nafian
Language	Bahasa Indonesia
Relation in Curriculum	Compulsory course for undergraduate program in Physics
Teaching methods, Contact hours	Lecture (Problem Based Learning and Cooperative Learning Method)Structured activities (Assignments Based on Group Discussion and Quiz)Self Study (Reading Literature)Contract hours: 1 hour 40 minutes
Workload	Workload per semester (16 weeks) Lecture: 23 hoursMidterm and Final Exam: 3 hoursStructure and Self Study: 56 hoursTotal Workload: 83 hours
Credit points	2.76 ECTS
Admission and examination requirements	Enrolled in this course and minimum 80% attendance in lecture
Recommended prerequisites	–
Media employed	Board, LCD Projector, Laptop/Computer, Google Classroom
Forms of assessment	Structured assignment Quiz: 40 % Midterm exam Written: 30 % Final exam Written: 30 %
Intended Learning Outcome
After completing this course, the students should have: Understand and apply advanced mathematical methods and techniques relevant to theoretical physics, including differential geometry, group theory, and functional analysis.Utilize mathematical tools such as tensor calculus and differential forms to describe and analyze the geometry and curvature of spacetime in the context of general relativity and gauge theories.Demonstrate proficiency in solving advanced differential equations, including partial differential equations of mathematical physics, using analytical and numerical methods, with a focus on applications in quantum mechanics.Apply mathematical formalism to describe quantum field theory, including path integrals, field quantization, and Feynman diagrams, and understand their applications in describing particle interactions and fundamental forces.
Understand the mathematical foundations of statistical mechanics and their applications in describing the behavior of macroscopic systems, including thermodynamic properties, phase transitions, and critical phenomena.Apply mathematical techniques such as renormalization group theory and scaling analysis to analyze the behavior of physical systems near critical points and phase transitions.
Lecture (Class Work) Fourier TransformLaplace transformGamma FunctionLegendre functionBessel functionLaguerre functionHermite Function
Recommended Literatures Kreyszig, E. (2018). Advanced Engineering Mathematics (10th ed.). Wiley. Blanchard, P., & Brüning, E. (2015). Mathematical Methods in Physics: Distributions, Hilbert Space Operators, Variational Methods, and Applications in Quantum Physics (2nd ed.). Springer. Bayın, S. Ş. (2018). Mathematical Methods in Science and Engineering (2nd ed.). Wiley. Cahill, K. (2019). Physical Mathematics (2nd ed.). Cambridge University Press. Milstein, G. N., & Tretyakov, M. V. (2021). Stochastic Numerics for Mathematical Physics (2nd ed.). Springer. Rudolph, G., & Schmidt, M. (2017). Differential Geometry and Mathematical Physics, Vol. 2. Springer. Serov, V. (2017). Fourier Series, Fourier Transform and Their Applications to Mathematical Physics. Springer. Simon, B. (2015). A Comprehensive Course in Analysis, Vol. 1–5. American Mathematical Society.

FST 6097117 Basic Electronics

Module Name	Basic Electronics
Module level, if applicable	Undergraduate
Module Identification Code	FST 6097117
Semester(s) in which the module is taught	4th
Person(s) responsible for the module	Suwondo
Language	Bahasa Indonesia
Relation in Curriculum	Compulsory course for undergraduate program in Physics
Teaching methods, Contact hours	Lecture (Problem Based Learning)Structured activities (Assignments Based on Problem Based and Quiz)Self Study (Reading Literature)Contract hours: 2 hour 30 minutes
Workload	Workload per semester (16 weeks) Lecture: 35 hoursMidterm and Final Exam: 5 hoursStructure and Self Study: 70 hoursTotal Workload: 110 hours
Credit points	3.67 ECTS
Admission and examination requirements	Enrolled in this course and minimum 80% attendance in lecture
Recommended prerequisites	–
Media employed	Board, LCD Projector, Laptop/Computer, Google Classroom
Forms of assessment	Structured assignment Quiz: 30 %Midterm exam Written: 30 %Final exam Written: 40 %
Intended Learning Outcome
After completing this course, the students should have: Understand the fundamental principles of electronics, including Ohm’s law, Kirchhoff’s laws, and basic circuit analysis techniques, to analyze and design electronic circuits.Demonstrate proficiency in analyzing and designing basic electronic circuits, including resistive circuits, capacitive circuits, and inductive circuits, using circuit theory and mathematical modeling.Apply knowledge of semiconductor materials and devices, including diodes, transistors, and operational amplifiers, to analyze and design electronic circuits for amplification, switching, and signal processing applications.Understand the principles of digital electronics, including Boolean algebra, logic gates, and flip-flops, and apply these principles to analyze and design digital circuits and systems.Demonstrate proficiency in using electronic test and measurement equipment, including oscilloscopes, multimeters, and function generators, to measure and characterize electronic circuits and signals.
Apply principles of electronic troubleshooting and debugging techniques to identify and correct faults in electronic circuits and systems, including open circuits, short circuits, and component failures.Understand the principles of power electronics, including rectifiers, voltage regulators, and power amplifiers, and apply these principles to design and analyze power conversion circuits.Demonstrate proficiency in using electronic design automation (EDA) software tools, such as circuit simulation software and PCB layout software, to design and simulate electronic circuits and systems.Apply knowledge of electromagnetic compatibility (EMC) and electromagnetic interference (EMI) principles to design electronic circuits and systems that meet regulatory requirements and standards.
Module content
Lecture (Class Work) SemiconductorBasic diodeDiode circuitDiode for special purposes.Basic BJTBias BJTBasic amplifier BJTThe concept of multistage, CC and CC amplifiersPower Amplifiers
Recommended Literatures Boylestad, R. L., & Nashelsky, L. (2018). Electronic Devices and Circuit Theory (12th ed.). Pearson. Boylestad, R. L., & Kleitz, W. (2018). Introductory Circuit Analysis (13th ed.). Pearson. Streetman, B. G., & Banerjee, S. (2015). Solid State Electronic Devices (7th ed.). Pearson. Razavi, B. (2016). Fundamentals of Microelectronics (2nd ed.). Wiley. Sedra, A. S., & Smith, K. C. (2019). Microelectronic Circuits (8th ed.). Oxford University Press. Boylestad, R. L., & Olivari, B. A. (2023). Electronic Devices and Circuit Theory (14th ed.). Pearson. Westcott, S., & Westcott, J. R. (2020). Basic Electronics (2nd ed.). Mercury Learning and Information.

FST 6097143 Basic Electronics Laboratory Work

Module Name	Basic Electronics Laboratory Work
Module level, if applicable	Undergraduate
Module Identification Code	FST 6097143
Semester(s) in which the module is taught	4th
Person(s) responsible for the module	Suwondo
Language	Bahasa Indonesia
Relation in Curriculum	Compulsory course for undergraduate program in Physics
Teaching methods, Contact hours	Laboratory workGroup discussionContract hours: 2 hour 30 minutes
Workload	Workload per semester (16 weeks) Laboratory Work: 35 hoursMidterm and Final Exam: 4 hoursStructure and Self Study: 23 hoursTotal Workload: 62 hours
Credit points	2.70 ECTS
Admission and examination requirements	Enrolled in this course and minimum 80% attendance in lecture
Recommended prerequisites	–
Media employed	Board, LCD Projector, and Laboratory work equipment (List in Laboratory Work Guide for Basic Electronics)
Forms of assessment	Structured assignment Laboratory work report: 60 %Midterm exam Written: 20 %Final exam Written: 20 %
Intended Learning Outcome
Students should be able to construct and assemble electronic circuits using basic components, such as resistors, capacitors, transistors, and integrated circuits.Develop the ability to identify and select electronic components based on their specifications and roles within a circuit.Gain proficiency in using electronic measuring instruments, such as multimeters and oscilloscopes, to measure voltage, current, resistance, and waveform characteristics.Acquire the ability to diagnose and troubleshoot common issues in electronic circuits, including identifying faulty components and incorrect connections.Learn proper soldering techniques to make secure and reliable connections in electronic circuits.Understand and adhere to safety protocols when working with electronic components and equipment to minimize the risk of electrical hazards.Become skilled in using breadboards to prototype and test electronic circuits before soldering, allowing for quick iterations and modifications.Analyze electronic signals, including waveform shapes, frequency, and amplitude, using oscilloscopes and signal generators.
Gain the ability to design and prototype simple electronic circuits to meet specific requirements or solve practical problems.Develop a fundamental understanding of electronic principles, including Ohm’s law, Kirchhoff’s laws, and basic transistor behavior.Explore digital logic circuits, including basic gates, flip-flops, and counters, and understand their applications.Study analog electronic circuits, including amplifiers, filters, and voltage regulators, and understand their functions.Work with integrated circuits (ICs) and learn how to incorporate them into electronic designs.Understand feedback mechanisms and control systems in electronic circuits, including operational amplifiers (op-amps) and their applications.Develop the ability to document and report experimental procedures, results, and circuit diagrams in a clear and organized manner.Practice effective collaboration with peers in group projects and experiments, including sharing responsibilities and solving problems collectively.Apply the skills and knowledge gained in the course to complete basic electronic projects independently or in groups.
Module content
Lecture: Regulation and Laboratory Safety InductionEquipment introduction Laboratory work activities: SemiconductorBasic diodeDiode circuitDiode for special purposes.Basic BJTBias BJTBasic amplifier BJTThe concept of multistage, CC and CC amplifiersPower Amplifiers
Recommended Literatures Laboratory Work Guide for Basic Electronics Srikant, S. S., & Chaturvedi, P. K. (2020). Basic Electronics Engineering: Including Laboratory Manual (1st ed.). Springer Singapore. Manoj, K. C., & Binil Kumar, K. (2015). Electronics Laboratory Manual-I (1st ed.). LAP Lambert Academic Publishing.

FST 6097144 Computational Physics

Module Name	Computational Physics
Module level, if applicable	Undergraduate
Module Identification Code	FST 6097144
Semester(s) in which the module is taught	4th
Person(s) responsible for the module	Praditiyo Riyadi
Language	Bahasa Indonesia
Relation in Curriculum	Compulsory course for undergraduate program in Physics
Teaching methods, Contact hours	Lecture (Flipped Learning and Group Discussion Method).Structured activities (Assignments based on quiz after watch the videos, and small group discussion in the class room)Self Study (Watch Videos and Reading Literature)Contract hours: 2 hour 30 minutes
Workload	Workload per semester (16 weeks) Lecture: 35 hoursMidterm and Final Exam: 5 hoursStructure and Self Study: 70 hoursTotal Workload: 110 hours
Credit points	3.67 ECTS
Admission and examination requirements	Enrolled in this course and minimum 80% attendance in lecture
Recommended prerequisites	–
Media employed	Board, LCD Projector, Laptop/Computer, Google Classroom
Forms of assessment	Structured assignment Quiz: 40 % Midterm exam Written: 30 % Final exam Written: 30 %
Intended Learning Outcome
After completing this course, the students should have: Able to explaining the basics of programming using the Python programming languageAble to explaining the logic flow of programming and the libraries used in the Python programming languageAble to analyzing the solutions of linear and non-linear equations numerically using Python programmingAble to analyzing interpolation and regression processes numerically using Python programmingAble to analyzing integration and differentiation processes numerically using Python programmingAble to designing modelling of motion of freely falling objects without air resistance using Python programming
Able to designing modelling of motion in mass-spring systems using Python programmingAble to designing modelling of projectile motion using Python programming
Module content
Lecture (Class Work) Basic structure of the python programming languageTypes of operators in the Python programming languageConcept and implementation of branching in the Python programming languageLooping in the Python programming languagePython programming language to understand the phenomenon of motion of falling objects using the Euler methodPython programming language to understand the phenomenon of motion of falling objects using the Feyman-Newton methodPython programming language to understand mass spring systemsPython programming language to understand projectile motion modelingPython programming language to observe electron orbits in hydrogen atoms.
Recommended Literatures Lander, J. P. (2019). Python Data Science Handbook: Essential Tools for Working with Data. O’Reilly Media. Hjorth-Jensen, M. (2015). Computational Physics. University of Oslo. Scherer, P. O. J. (2017). Computational Physics: Simulation of Classical and Quantum Systems (3rd ed.). Springer Cham. Walker, D. (2022). Computational Physics (2nd ed.). Mercury Learning and Information. Walker, D. (2024). Computational Physics: A Comprehensive Guide to Numerical Methods in Physics (1st ed.). Mercury Learning and Information

FST 6097145 Computational Physics Laboratory Work

Module Name	Computational Physics Laboratory Work
Module level, if applicable	Undergraduate
Module Identification Code	FST 6097148
Semester(s) in which the module is taught	4th
Person(s) responsible for the module	Praditiyo Riyadi
Language	Bahasa Indonesia
Relation in Curriculum	Compulsory course for undergraduate program in Physics
Teaching methods, Contact hours	Laboratory workGroup discussionContract hours: 2 hour 30 minutes
Workload	Workload per semester (16 weeks) Laboratory Work: 35 hoursMidterm and Final Exam: 4 hoursStructure and Self Study: 23 hoursTotal Workload: 62 hours
Credit points	2.23 ECTS
Admission and examination requirements	Enrolled in this course and minimum 80% attendance in lecture
Recommended prerequisites	–
Media employed	Board, LCD Projector, and Laboratory work equipment (List in Laboratory Work Guide for Computational Physics)
Forms of assessment	Structured assignment Laboratory work report: 60 %Midterm exam Written: 20 %Final exam Written: 20 %
Intended Learning Outcome
Students should become proficient in a programming language commonly used in computational physics, such as Python.Develop the ability to think algorithmically and design numerical algorithms to solve physics problems.Gain the capacity to create mathematical models of physical systems and implement them computationally, demonstrating a deep understanding of the underlying physics.Learn a range of numerical methods used in physics to solve various physics problems.Acquire the ability to formulate physics problems computationally, identify relevant algorithms and techniques, and solve these problems using computational tools.Conduct numerical simulations of physical systems, including classical mechanics, electromagnetism, quantum mechanics, and statistical mechanics.Understand the sources of error and uncertainty in computational physics, and learn to perform error analysis to assess the reliability of results.Visualize and interpret computational results using plots, graphs, and three- dimensional simulations.
Apply mathematical concepts and techniques to formulate and analyze physics problems, including differential equations, linear algebra, and calculus.Develop the ability to document code and computational procedures, and to present results clearly and coherently in reports and presentations.Understand the ethical considerations related to computational physics research, including proper attribution of code and data sources.Work effectively in teams to solve complex computational physics problems and develop computational models.Complete independent or group projects that involve applying computational techniques to real-world physics problems, demonstrating a practical understanding of the subject.
Module content
Lecture: Regulation and Laboratory Safety InductionEquipment introduction Laboratory work activities: Basic Structure of the Python Programming LanguageVarious Operators in the Python Programming LanguageConcept and Application of Branching in the Python Programming LanguageLooping in the Python Programming LanguageConcept and Application of Arrays in the Python Programming LanguageConcept and Application of Functions in the Python Programming LanguagePython programming language to understand the phenomenon of motion of falling objects using the Euler methodPython programming language to understand the phenomenon of motion of falling objects using the Feyman-Newton methodPython programming language to understand mass spring systemsPython programming language to understand equation of motion modelingPython programming language to observe electron orbits in hydrogen atoms
Recommended Literatures Laboratory Work Guide for Computational Physics Landau, R. H., Páez, M. J., & Bordeianu, C. C. (2024). Computational Physics: Problem Solving with Python (4th ed.). Wiley-VCH. Scherer, P. O. J. (2017). Computational Physics: Simulation of Classical and Quantum Systems (3rd ed.). Springer. Bestehorn, M. (2018). Computational Physics: With Worked Out Examples in FORTRAN and MATLAB. De Gruyter

FST 6097146 Mechanics

Module Name	Mechanics
Module level, if applicable	Undergraduate
Module Identification Code	FST 6097146
Semester(s) in which the module is taught	4th
Person(s) responsible for the module	Biaunik Niski Kumila
Language	Bahasa Indonesia
Relation in Curriculum	Compulsory course for undergraduate program in Physics
Teaching methods, Contact hours	Lecture (Flipped Learning and Group Discussion Method)Structured activities (Assignments Based on Group Discussion and Quiz)Self Study (Watch Video and Reading Literature)Contract hours: 3 hour 20 minutes
Workload	Workload per semester (16 weeks) Lecture: 47 hoursMidterm and Final Exam: 7 hoursStructure and Self Study: 93 hoursTotal Workload: 147 hours
Credit points	6.76 ECTS
Admission and examination requirements	Enrolled in this course and minimum 80% attendance in lecture
Recommended prerequisites	–
Media employed	Board, LCD Projector, Laptop/Computer, Google Classroom
Forms of assessment	Structured assignment Quiz: 40 %Midterm exam Written: 30 %Final exam Written: 30 %
Intended Learning Outcome
After completing this course, the students should have: Understand the fundamental principles of classical mechanics, including Newton’s laws of motion, conservation of energy, and conservation of momentum, to analyze the motion of particles and systems.Demonstrate proficiency in solving problems involving kinematics and dynamics of particles and rigid bodies in one, two, and three dimensions, using mathematical techniques such as calculus and vector analysis.Apply principles of Newtonian mechanics to analyze and predict the motion of objects under various forces, including gravitational, frictional, and inertial forces.Understand the principles of rotational motion and torque, including angular momentum and moment of inertia, and apply these principles to analyze the motion of rotating objects and systems.Apply the principles of work and energy to analyze mechanical systems and solve problems involving energy conservation and mechanical work done by forces.
Understand the principles of oscillatory motion and simple harmonic motion, including the properties of springs and pendulums, and apply these principles to analyze and predict the behavior of vibrating systems.Demonstrate proficiency in applying mathematical tools, including differential equations and numerical methods, to solve problems involving complex mechanical systems, including coupled oscillators and nonlinear dynamics.Apply principles of static equilibrium and free-body diagrams to analyze the forces acting on objects and systems in equilibrium, including applications in structural mechanics and engineering.
Module content
Lecture (Class Work) Hamilton’s Variational Principle: An ExampleGenerelized CoordinatesCalculating Kinetic and Potential Energies in terms of Generelized CoordinatesLagrange’s Equations of Motion for Conservative SystemSome Applications of Lagrange’s Equations Generelized Momenta: Ignorable CoordinatesForces of Constraint: Lagrange MultipliersD’Alembert’s Principle: Generelized ForcesThe Hamiltonian Fungtion: Hamilton’s EquationCoupled Harmonic Oscillator: Normal CoordinatesGeneral Theory of Vibrating SystemVibration of Continuous System: The Wave Equation
Recommended Literatures Ghavami, P. (2015). Mechanics of Materials: An Introduction to Engineering Technology. Springer. Öchsner, A. (2023). Computational Statics and Dynamics: An Introduction Based on the Finite Element Method. Springer. Kollmannsberger, S., D’Angella, D., Jokeit, M., & Herrmann, L. (2021). Deep Learning in Computational Mechanics: An Introductory Course. Springer. Bansal, R. K. (2019). A Textbook of Engineering Mechanics (6th ed.). Andi Publisher.

FST 6097147 Electromagnetic Field 1

Module Name	Electromagnetic Field 1
Module level, if applicable	Undergraduate
Module Identification Code	FST 6097147
Semester(s) in which the module is taught	4th
Person(s) responsible for the module	Suwondo
Language	Bahasa Indonesia
Relation in Curriculum	Compulsory course for undergraduate program in Physics
Teaching methods, Contact hours	Lecture (Problem Based Learning)Structured activities (Assignments Based on Problem Based and Quiz)Self Study (Reading Literature)Contract hours: 2 hour 30 minutes
Workload	Workload per semester (16 weeks) Lecture: 35 hoursMidterm and Final Exam: 5 hoursStructure and Self Study: 84 hoursTotal Workload: 124 hours
Credit points	4.13 ECTS
Admission and examination requirements	Enrolled in this course and minimum 80% attendance in lecture
Recommended prerequisites	–
Media employed	Board, LCD Projector, Laptop/Computer, Google Classroom
Forms of assessment	Structured assignment Quiz: 30 %Midterm exam Written: 30 %Final exam Written: 40 %
Intended Learning Outcome
Students are able to concept, analyse of Electromagnet Field I and understand its developments in the field of technology. Students can understand the concepts of electricity and magnetism.
Module content
Lecture (Class Work) Vector Analysis ReviewStatic electricityEnergy of Static electricity and conductorsSpecial TechniquesPolarization and Fields of Polarized ObjectsLinear Dielectric and Electrical DisplacementLorenzt Force & Biot Savart LawDivergence and Curl of Magnetic FieldMagnetic Potential VectorMagnetizationMedium linear and non-linear
Electromotive ForceElectromotive Induction
Recommended Literatures Griffiths, D. J. (2023). Introduction to Electrodynamics (5th ed.). Cambridge University Press. Basu, P. K., & Dhasmana, H. (2022). Electromagnetic Theory. Springer. Khan, A. S., & Mukerji, S. K. (2021). Electromagnetic Fields: Theory and Applications. CRC Press. Balanis, C. A. (2024). Advanced Engineering Electromagnetics (3rd ed.). Wiley. Werner, D. H., & Campbell, S. D. (2023). Advances in Electromagnetics Empowered by Artificial Intelligence and Deep Learning. Wiley-IEEE Press. Werner, D. H., & Jiang, Z. H. (2021). Electromagnetic Vortices: Wave Phenomena and Engineering Applications. Wiley.

FST 6097148 Physics Experiment 2

Module Name	Physics Experiment 2
Module level, if applicable	Undergraduate
Module Identification Code	FST 6097148
Semester(s) in which the module is taught	3th
Person(s) responsible for the module	Agus Budiono
Language	Bahasa Indonesia
Relation in Curriculum	Compulsory course for undergraduate program in Physics
Teaching methods, Contact hours	Laboratory workGroup discussionContract hours: 2 hour 30 minutes
Workload	Workload per semester (16 weeks) Laboratory Work: 70 hoursMidterm and Final Exam: 8 hoursStructure and Self Study: 84 hoursTotal Workload: 124 hours
Credit points	5.40 ECTS
Admission and examination requirements	Enrolled in this course and minimum 80% attendance in lecture
Recommended prerequisites	–
Media employed	Board, LCD Projector, and Laboratory work equipment (List in Laboratory Work Guide for Physics Experiment 2)
Forms of assessment	Structured assignment Laboratory work report: 60 %Midterm exam Written: 20 %Final exam Written: 20 %
Intended Learning Outcome
Students should develop proficiency in fundamental experimental skills, such as using laboratory equipment, measuring quantities, and making observations.Gain a solid understanding of measurement techniques, including the use of various instruments like rulers, calipers, micrometers, and scientific scales.Learn how to collect and record data accurately and systematically during experiments. Develop the ability to analyze and interpret data, including identifying sources of error.Begin to understand the process of experimental design, including identifying variables, controls, and appropriate methodologies to investigate physical phenomena.Students should be able to formulate hypotheses and design experiments to test these hypotheses. They should also develop the ability to draw conclusions based on experimental data.Understand and practice laboratory safety protocols and ethical conduct in experimental research, including proper handling of chemicals and equipment.
Develop a foundational understanding of the scientific method, including making observations, formulating hypotheses, designing experiments, and drawing conclusions based on evidence.Begin to communicate scientific findings effectively, including writing clear and concise lab reports and presenting experimental results orally.Encourage critical thinking by evaluating the validity of experimental procedures and results, as well as understanding the implications of findings.Develop basic quantitative analysis skills, such as performing calculations, graphing data, and applying mathematical concepts to interpret experimental results.Gain a basic conceptual understanding of the physical principles underlying the experiments performed, connecting theory to practice.Understand the practical applications and relevance of physics experiments to everyday life and other scientific disciplines.Develop problem-solving skills by applying physics principles to real-world situations and by troubleshooting experimental setups and unexpected results.Become familiar with common laboratory equipment, including its setup and operation.Practice effective teamwork when conducting group experiments, sharing responsibilities, and collaborating with fellow students.
Module content
Lecture: Regulation and Laboratory Safety InductionEquipment introductionData AcquisitionData Processing Laboratory work activities: Franck Hertz ExperimentNormal Zeeman EffectPoisson DistributionNuclear Magnetic ResonanceCompton EffectHall Effect
Recommended Literatures Laboratory Work Guide for Physics Experiment 2 Wilson, J. D., & Hernández-Hall, C. A. (2015). Physics Laboratory Experiments (8th ed.). Cengage Learning. General Physics Laboratory II Laboratory Manual. (2017). University Print and Copy Center.

FST 6097151 Electromagnetic Field 2

Module Name	Electromagnetic Field 2
Module level, if applicable	Undergraduate
Module Identification Code	FST 6097151
Semester(s) in which the module is taught	5th
Person(s) responsible for the module	Suwondo
Language	Bahasa Indonesia
Relation in Curriculum	Compulsory course for undergraduate program in Physics
Teaching methods, Contact hours	Lecture (Problem Based Learning).Structured activities (Assignments Based on Problem Based and Quiz)Self Study (Reading Literature)Contract hours: 2 hour 30 minutes
Workload	Workload per semester (16 weeks) Lecture: 35 hoursMidterm and Final Exam: 5 hoursStructure and Self Study: 84 hoursTotal Workload: 124 hours
Credit points	5.53 ECTS
Admission and examination requirements	Enrolled in this course and minimum 80% attendance in lecture
Recommended prerequisites	–
Media employed	Board, LCD Projector, Laptop/Computer, Google Classroom
Forms of assessment	Structured assignment Quiz: 30 %Midterm exam Written: 30 %Final exam Written: 40 %
Intended Learning Outcome
Students are able to concept, analyse of Electromagnet Field II and understand its developments in the field of technology. Students can understand the concepts of electricity and magnetism.
Module content
Lecture (Class Work) Electric Fields in MatterMagnetostaticThe concept of Magnetic Fields in MatterElectrodynamicsConservation lawsElectromagnetic wavePotential and FieldRadiationElectrodynamics and Relativity
Recommended Literatures
Ellingson, S. W. (2020). Electromagnetics, Volume 2. Virginia Tech Publishing. Basu, P. K., & Dhasmana, H. (2022). Electromagnetic Theory. Springer. Khan, A. S., & Mukerji, S. K. (2021). Electromagnetic Fields: Theory and Applications. CRC Press. Balanis, C. A. (2024). Advanced Engineering Electromagnetics (3rd ed.). Wiley. Werner, D. H., & Campbell, S. D. (2023). Advances in Electromagnetics Empowered by Artificial Intelligence and Deep Learning. Wiley-IEEE Press. Werner, D. H., & Jiang, Z. H. (2021). Electromagnetic Vortices: Wave Phenomena and Engineering Applications. Wiley.

FST 6097152 Quantum Physics

Module Name	Quantum Physics
Module level, if applicable	Undergraduate
Module Identification Code	FST 6097152
Semester(s) in which the module is taught	5th
Person(s) responsible for the module	Anugrah Azhar
Language	Bahasa Indonesia
Relation in Curriculum	Compulsory course for undergraduate program in Physics
Teaching methods, Contact hours	Lecture (conceptual, contextual and problem-solving approaches through expository, discussions and exercises).Structured activities (assignments based on conceptual, contextual and problem- solving approaches)Self Study (reading literature)Contract hours: 3 hour 20 minutes
Workload	Workload per semester (16 weeks) Lecture: 47 hoursMidterm and Final Exam: 7 hoursStructure and Self Study: 112 hoursTotal Workload: 165 hours
Credit points	5.51 ECTS
Admission and examination requirements	Enrolled in this course and minimum 80% attendance in lecture
Recommended prerequisites	–
Media employed	Board, LCD Projector, Laptop/Computer, Google Classroom
Forms of assessment	Structured assignment Quiz: 30 %Midterm exam Written: 30 %Final exam Written: 40 %
Intended Learning Outcome
After completing this course, the students should have: Able to understand basic concepts related to the emergence of quantum physicsAble to understand the phenomenon of wave-particle dualism, probability, and the Scroedinger equation.Able to understand the meaning of Eingenvalue, Eigenfunction, and Expansion PostulateAble to understand and apply the Schroedinger equation for one-dimensional potential casesAble to understand the general structure of wave mechanicsAble to understand and apply operator methods in quantum mechanicsAble to understand the concept of angular momentumAble to understand and apply the three-dimensional Schroedinger equation to the hydrogen atom
Able to understand and apply matrix representations of operatorsAble to understand the concept of Spin
Module content
Lecture (Class Work) Basic concepts related to the emergence of quantum physicsThe phenomenon of wave-particle dualism, probability, and the Schroedinger equation.Eingenvalue, Eigenfunction, and Expansion postulatesThe Schroedinger equation for one-dimensional potential casesThe general structure of wave mechanicsMethod operators in quantum mechanicsangular momentumThe three-dimensional Schroedinger equation for the hydrogen atomThe matrix representation of the operatorsspinsAccuracy and Metods beyond “Standar” Calculation
Recommended Literatures Griffiths, D. J. (2018). Introduction to Quantum Mechanics (3rd ed.). Cambridge University Press. Sakurai, J. J., & Napolitano, J. (2017). Modern Quantum Mechanics (2nd ed.). Cambridge University Press. Anastopoulos, C. (2023). Quantum Theory: A Foundational Approach. Cambridge University Press. Woods, L. M., & Rodríguez López, P. (2024). Contemporary Quantum Mechanics in Practice: Problems and Solutions. Cambridge University Press. Snoke, D. W. (2024). Interpreting Quantum Mechanics: Modern Foundations. Cambridge University Press. Selstø, S. (2024). A Computational Introduction to Quantum Physics. Cambridge University Press. Majidy, S., Wilson, C., & Laflamme, R. (2024). Building Quantum Computers: A Practical Introduction. Cambridge University Press.

FST 6097153 Solid State Physics

Module Name	Solid State Physics
Module level, if applicable	Undergraduate
Module Identification Code	FST 6097153
Semester(s) in which the module is taught	5th
Person(s) responsible for the module	Elvan Yuniarti
Language	Bahasa Indonesia
Relation in Curriculum	Compulsory course for undergraduate program in Physics
Teaching methods, Contact hours	Lecture (Case Study and Cooperative Learning Method).Structured activities (Assignments Based on Case Study and Quiz)Self Study (reading literature)Contract hours: 3 hour 20 minutes
Workload	Workload per semester (16 weeks) Lecture: 47 hoursMidterm and Final Exam: 7 hoursStructure and Self Study: 112 hoursTotal Workload: 165 hours
Credit points	5.51 ECTS
Admission and examination requirements	Enrolled in this course and minimum 80% attendance in lecture
Recommended prerequisites	–
Media employed	Board, LCD Projector, Laptop/Computer, Google Classroom
Forms of assessment	Structured assignment Quiz: 40 %Midterm exam Written: 30 %Final exam Written: 30 %
Intended Learning Outcome
Students are able to understand the concept of crystal structure in solid substancesStudents are able to explain the phenomenon of wave diffraction in the reverse lattice space in a crystalStudents are able to apply the wave diffraction equation to the reverse lattice space in a crystalStudents are able to analyze wave diffraction events in several types of crystalsStudents are able to understand the concept of phonons and crystal vibrations in solidsStudents are able to explain the concept of phonons and crystal vibrations in solidsStudents are able to apply differential equations as solutions for calculating phonon dispersion relations in monoatomic and diatomic systemsStudents are able to analyze the formation of acoustic and optical vibration modes in diatomic systemsStudents are able to understand the phonon effect related to the thermal properties of materials
Students are able to understand the concept of fermi gas free electrons to explain conductor phenomena in metalsStudents are able to apply Maxwell’s equations in determining the conductivity and permittivity of metal materials and insulators in generalStudents are able to analyze the relationship between conductivity and permittivity of metal materials and insulators using the Kramers-Kronig relationStudents are able to understand the basic concepts of energy band theoryStudents are able to explain the concept of semiconductor crystalsStudents are able to apply mathematical equations to prove the occurrence of gap energy in semiconductor materialsStudents are able to understand the concept of Fermi surfaces and their relationship to metalsStudents are able to apply the high-binding method to obtain crystal dispersion relationsStudents are able to analyze the influence of crystal structure on the shape of the crystal dispersion relationshipStudents are able to explain the concept of superconductorsStudents are able to apply mathematical equations to the concept of superconductorsStudents are able to explain the scheme of diamagnetic and paramagnetic materialsStudents are able to explain the scheme of ferromagnetic and antiferromagnetic materialsStudents are able to explain the phenomenon of magnetic resonanceStudents are able to understand the concept of plasmons, polaritons and polarons as quasi-particles
Module content
Lecture (Class Work) Wave diffraction and back gratingPhonons and crystal vibrationsPhonons and Thermal PropertiesFermi gas free electronsThe energy band theorySemiconductor crystalfFermi and metal surfacesSuperconductorDiamagnetic and paramagneticFerromagnetic and antiferromagneticMagnetic resonanceThe concept of plasmon, polariton, and polaron as quasi-particles
Recommended Literatures Charles, P. L. (2016). Introduction to the Physics of Matter: Basic Atomic, Molecular, and Solid-State Physics (Vol. 1). CRC Press. Ashcroft, N. W., & Mermin, N. D. (2015). Solid State Physics (International ed.). Cengage Learning. Vaughan, D. (2020). Solid State Physics: Essential Concepts (2nd ed.). Cambridge University Press. Jain, V. K. (Ed.). (2022). Solid State Physics (3rd ed.). Springer. Basu, P. K., & Dhasmana, H. D. (2022). Solid State Engineering Physics (2nd ed.). Springer.

UIN 6000207 Internship

Module Name	Internship
Module level, if applicable	Undergraduate
Module Identification Code	UIN6000206
Semester(s) in which the module is taught	6th
Person(s) responsible for the module	Chair of Bc-Physics
Language	Indonesian
Relation in Curriculum	Compulsory course for undergraduate program in Physics
Teaching methods, Contact hours	Students are supervised by supervisors (lecturer and field supervisor)
Workload	Independent Study 4 x 170 m x 4 wks x 6 months Total 272 hours
Credit points	7.33 ECTS
Admission and examination requirements	Enrolled in this course
Recommended prerequisites	–
Media employed	Laptop/Computer
Forms of assessment	Internship examination are conducted after student completes his internship report. The elements of evaluation consist of a feasibility assessment topic, the level of student participation during internship, academic writing, presentation, and oral test about content of internship report
Intended Learning Outcome
Apply the basics of Physics and specialization in Physics to the problems in the fieldSolve the problems in the field by using Physics and specialization in PhysicsDevelop a good communication and teamworkWrite internship report in a comprehensive manner
Module content
Topic is appointed by university or group of students.
Recommended Literatures
Books related to the topics.

FST 6097161 Nuclear Physics

Module Name	Nuclear Physics
Module level, if applicable	Undergraduate
Module Identification Code	FST 6097161
Semester(s) in which the module is taught	6th
Person(s) responsible for the module	Elvan Yuniarti
Language	Bahasa Indonesia
Relation in Curriculum	Compulsory course for undergraduate program in Physics
Teaching methods, Contact hours	Lecture (Case Study and Cooperative Learning Method).Structured activities (Assignments Based on Case Study and Quiz)Self Study (Reading Literature)Contract hours: 3 hour 20 minutes
Workload	Workload per semester (16 weeks) Lecture: 47 hoursMidterm and Final Exam: 7 hoursStructure and Self Study: 112 hoursTotal Workload: 165 hours
Credit points	5.51 ECTS
Admission and examination requirements	Enrolled in this course and minimum 80% attendance in lecture
Recommended prerequisites	–
Media employed	Board, LCD Projector, Laptop/Computer, Google Classroom
Forms of assessment	Structured assignment Quiz: 40 %Midterm exam Written: 30 %Final exam Written: 30 %
Intended Learning Outcome
After completing this course, the students should have: Understand the fundamental principles of nuclear physics, including the structure and properties of atomic nuclei, nuclear forces, and nuclear reactions.Demonstrate proficiency in solving problems involving nuclear structure and properties, including calculations of nuclear binding energy, radioactive decay, and nuclear stability using mathematical techniques and nuclear models.Apply principles of nuclear reactions and decay processes to analyze and predict the behavior of nuclear systems, including applications in nuclear energy, nuclear medicine, and astrophysics.Understand the principles of nuclear fission and fusion, including reaction mechanisms, energy release, and applications in nuclear power generation and fusion research.Analyze and predict the behavior of particles and radiation emitted in nuclear decay processes, including alpha decay, beta decay, gamma decay, and electron capture.
6. Understand the principles of radiation detection and measurement techniques, including ionization chambers, scintillation detectors, and Geiger-Müller counters, and apply these principles to analyze and quantify radiation sources.
Module content
Lecture (Class Work) Basic Concepts of Nuclear PhysicsBasic Concepts of Quantum MechanicsForces between NucleonsNuclear modelsRadioactive DecayNuclear Radiation DetectionAlpha decayBeta DecayGamma DecayNuclear ReactionNuclear FissionNuclear FusionIntroduction to Elementary ParticlesKinematics of Core Scattering
Recommended Literatures Das, A., Ferbel, T., & McGaughey, P. L. (2015). Introduction to Nuclear and Particle Physics (2nd ed.). World Scientific. Obertelli, A., & Sagawa, H. (2021). Modern Nuclear Physics: From Fundamentals to Frontiers. Springer Bertulani, C. (2021). Introduction to Nuclear Reactions (2nd ed.). CRC Press. Shultis, J. K., & Faw, R. E. (2016). Fundamentals of Nuclear Science and Engineering (3rd ed.). CRC Press. Bertulani, C. (2007). Nuclear Physics in a Nutshell. Princeton University Press. Martin, B. R., & Shaw, G. (2019). Nuclear and Particle Physics: An Introduction. Wiley.

FST 6097162 Statistical Physics

Module Name	Statistical Physics
Module level, if applicable	Undergraduate
Module Identification Code	FST 6097162
Semester(s) in which the module is taught	6th
Person(s) responsible for the module	Edi Sanjaya
Language	Bahasa Indonesia
Relation in Curriculum	Compulsory course for undergraduate program in Physics
Teaching methods, Contact hours	Lecture (conceptual, contextual and problem-solving approaches through expository, discussions and exercises).Structured activities (assignments based on conceptual, contextual and problem- solving approaches)Self Study (reading literature)Contract hours: 3 hour 20 minutes
Workload	Workload per semester (16 weeks) Lecture: 47 hoursMidterm and Final Exam: 7 hoursStructure and Self Study: 112 hoursTotal Workload: 165 hours
Credit points	5.51 ECTS
Admission and examination requirements	Enrolled in this course and minimum 80% attendance in lecture
Recommended prerequisites	–
Media employed	Board, LCD Projector, Laptop/Computer, Google Classroom
Forms of assessment	Structured assignment Quiz: 40 %Midterm exam Written: 30 %Final exam Written: 30 %
Intended Learning Outcome
Students are able to comprehend the basic concepts of Statistical Physics concerning the relationship between the behavior of constituent particle systems of a substance on a microscopic scale and the consequences it generates on a macroscopic scale, as well as possessing the ability to analyze the properties of that substance.
Module content
Lecture (Class Work) Random walks, binomial, Gaussian, and Poisson distributions, multi-variable probability distributions, continuous distributions, and average pricesThermal and mechanical interactions between two systems, the relationship of microcanonical ensembles to thermodynamics, and monatomic ideal gases½ spin ideal paramagnets, Einstein model vibrations, particles with two states, and Boltzmann gases
Chemical potential, classical partition function, equipartition energy, Gibbs paradox, and entropyMaxwell-Boltzmann distribution, diatomic gases, interacting gases, and density of statesBlack body radiation, the Planck distribution, and the Debye modelBose-Einstein distribution and Bose-Einstein condensationFermi-Dirac distribution, fermions, Pauli paramagnetic and Landau diamagnetismLarge canonical ensembles and ideal gases in large canonical ensemblesLarge canonical ensemble on phase changesLarge canonical ensembles of first- and second-order phase changesLarge canonical ensembles on Landau-Ginzburg theoryMean field theoryOne-dimensional Ising model
Recommended Literatures
Reichl, L. E. (2016). A Modern Course in Statistical Physics (4th ed.). Wiley-VCH. Wolfgang Nolting. (2018). Theoretical Physics 8: Statistical Physics. Springer Luciano Colombo. (2022). Statistical Physics of Condensed Matter Systems (A Primer). IOP Publishing. Nicolas Sator, Nicolas Pavloff & Lénaïc Couëdel. (2024). Statistical Physics (1st Edition). CRC Press/Routledge.

UIN 6000208 Research Methodology

Module Name	Research Methodology
Module level, if applicable	Undergraduate
Module Identification Code	UIN 6000208
Semester(s) in which the module is taught	6th
Person(s) responsible for the module	Ambran Hartono
Language	Bahasa Indonesia
Relation in Curriculum	Compulsory course for undergraduate program in Physics
Teaching methods, Contact hours	Lecture (conceptual, contextual and problem-solving approaches through expository, discussions and exercises).Structured activities (assignments based on conceptual, contextual and problem- solving approaches)Self Study (reading literature)Contract hours: 2 hour 30 minutes
Workload	Workload per semester (16 weeks) Lecture: 35 hoursMidterm and Final Exam: 5 hoursStructure and Self Study: 56 hoursTotal Workload: 96 hours
Credit points	3.67 ECTS
Admission and examination requirements	Enrolled in this course and minimum 80% attendance in lecture
Recommended prerequisites	–
Media employed	Board, LCD Projector, Laptop/Computer, Google Classroom
Forms of assessment	Structured assignment Quiz: 40 %Midterm exam Written: 30 %Final exam Written: 30 %
Intended Learning Outcome
Gain a deep understanding of the fundamental principles and concepts of research, including the scientific method and the process of inquiry.Develop the ability to design research projects effectively, including formulating research questions or hypotheses, selecting appropriate methodologies, and planning research procedures.Learn to conduct a comprehensive literature review to identify gaps in existing research, build on prior knowledge, and situate one’s research within the context of the field.Understand ethical considerations in research, including informed consent, privacy, data security, and the responsible conduct of research.Acquire knowledge of various data collection methods, such as surveys, interviews, experiments, observations, and archival research.
Develop skills in quantitative research, including data measurement, statistical analysis, and hypothesis testing.Gain proficiency in qualitative research methods, such as content analysis, thematic analysis, and case studies.Learn to design research instruments, such as questionnaires or interview guides, and validate their reliability and validity.Understand various sampling methods, including random sampling, stratified sampling, and convenience sampling, and their applicability to different research designs.Acquire skills in data analysis using software tools like SPSS, R, or NVivo. Learn to perform statistical analysis and interpret qualitative data.Develop the ability to interpret research findings, draw meaningful conclusions, and synthesize results into a coherent narrative.Learn how to effectively communicate research findings through written research papers, reports, and oral presentations.Foster critical thinking skills for assessing the quality and validity of research, as well as addressing research problems and challenges.Develop effective time management and project planning skills to meet research milestones and deadlines.Practice collaboration with peers on research projects, sharing responsibilities and contributing to collective goals.Gain experience in writing research proposals that clearly outline research objectives, methodologies, and anticipated outcomes.
Module content
Lecture (Class Work) Introduction to Research and the Scientific MethodFormulating Research Questions and HypothesesResearch DesignLiterature Review and Research ProposalData Collection Methods (Part 1)Data Collection Methods (Part 2)Ethnographic and Case Study ResearchData Analysis Techniques (Quantitative)Data Analysis Techniques (Qualitative)Sampling TechniquesResearch Ethics and Informed ConsentData Visualization and Reporting
Recommended Literatures Creswell, J. W., & Creswell, J. D. (2017). Research Design: Qualitative, Quantitative, and Mixed Methods Approaches (5th ed.). SAGE Publications. Cohen, L., Manion, L., & Morrison, K. (2017). Research Methods in Education (8th ed.). Routledge. Kumar, R. (2019). Research Methodology: A Step-by-Step Guide for Beginners (5th ed.). SAGE Publications.

UIN 6000206 Community Service Program

Module Name	Community Service Program
Module level, if applicable	Undergraduate
Module Identification Code	UIN6000207
Semester(s) in which the module is taught	7th
Person(s) responsible for the module	Center for Community Service UIN Syarif Hidayatullah Jakarta
Language	Bahasa Indonesia
Relation in Curriculum	Compulsory course for undergraduate program in Physics
Teaching methods, Contact hours	The students have 1 month preparation, 1 months stay and work in the village, and 1 month making a report, including final test.
Workload	Independent Study 4 x 170 m x 4 wks x 6 months Total 272 hours
Credit points	5.13 ECTS
Admission and examination requirements	Enrolled in this course
Recommended prerequisites	The student has to register the Center for Community Service to the study load card (KRS) in Semester VI. The Center for Community Service can be done during free time between the sixth and the seventh semesters
Media employed	Laptop/Computer
Forms of assessment	The final mark will be decided by considering some criteria involving the independence and team work ability, attitude and ethic, substance of the Center for Community Service. The components will be taken from the lecturers (during preparation until test at the end of the activities) and the chair of the village were the students work for the Center for Community Service. A: 80-100; B: 70-79,9; C: 60- 69,9; D: 50-59,9; E: <50
Intended Learning Outcome
After completing this course, the students should have: strong insight in local wisdom and high sensitivity to the problems in the society
Module content
Topic is appointed by university or group of students.
Recommended Literatures Books related to the topics.

UIN 6000213 Seminar

Module Name	Seminar
Module level, if applicable	Undergraduate
Module Identification Code	UIN 6000313
Semester(s) in which the module is taught	8th
Person(s) responsible for the module	Chair of Bc-Physics
Language	Bahasa Indonesia
Relation in Curriculum	Compulsory course for undergraduate program in Physics
Teaching methods, Contact hours	Final project presentation and discussionStudents are supervised by supervisors or more
Workload	Independent Study 1 x 170 m x 4 wks x 6 months = 68 h Exam: 2 x 60 m= 2 h Total: 70 h
Credit points	1.83 ECTS
Admission and examination requirements	To be able to take the final exam students must complete courses (minimum 138 credits) without having a D grade.
Recommended prerequisites	–
Media employed	Laptop/Computer
Forms of assessment	Assessment includes: the ability to deliver seminar papers, the ability to answer and the accuracy of answers, language and attitude, paper format, timeliness
Intended Learning Outcome
Students are able to arrange and submit the results of their final assignment studies in scientific forums
Module content
The topic and content of the final project are discussed with the supervisor before starting the work
Recommended Literatures Books related to the topics.

UIN 6000212 Thesis

Module Name	Final Project
Module level, if applicable	Undergraduate
Module Identification Code	UIN 6000312
Semester(s) in which the module is taught	8th
Person(s) responsible for the module	Chair of Bc-Physics
Language	Bahasa Indonesia
Relation in Curriculum	Compulsory course for undergraduate program in Physics
Teaching methods, Contact hours	Students are supervised by supervisors or more
Workload	Independent Study 6 x 170 m x 4 wks x 6 months = 408 h Exam: 6 x 30 m= 3 h Total: 411 h
Credit points	11.00 ECTS
Admission and examination requirements	To be able to take the final exam students must complete courses (minimum 138 credits) without having a D grade.
Recommended prerequisites	–
Media employed	Laptop/Computer
Forms of assessment	Final project examinations are conducted after the student completes his final project manuscript. The elements of evaluation consist of feasibility assessment topics, academic writing, presentation, and oral test about the content of the final project. final exam using the agreed system 80 ≤ A ≤100; 70 ≤ B < 80; 60 ≤ C < 70; 60 ≤ D < 50.
Intended Learning Outcome
Apply the knowledge, experience, and skills learned in Bc-Physics to the chosen topic and caseWrite scientific papers in a comprehensive mannerStudentshave professional ethics and soft skill: presentation, communication, discussion, and reason
Module content
The topic and content of the final project are discussed with the supervisor before starting the work
Recommended Literatures Books related to the topics.

SPECIALIZATION ELECTIVE COURSES (MATERIALS SCIENCE)

FST 6097227 General Materials Science

Module Name	General Materials Science
Module level, if applicable	Undergraduate
Module Identification Code	FST 6097227
Semester(s) in which the module is taught	5th
Person(s) responsible for the module	Arif Tjahjono
Language	Bahasa Indonesia
Relation in Curriculum	Material science elective course for undergraduate program in Physics
Teaching methods, Contact hours	Lecture (Problem Based Learning and Cooperative Learning Method).Structured activities (Assignments Based on Cooperative Learning and Quiz)Self Study (Reading Literature)Contract hours: 2 hour 30 minutes
Workload	Workload per semester (16 weeks) Lecture: 35 hoursMidterm and Final Exam: 5 hoursStructure and Self Study: 63 hoursTotal Workload: 103 hours
Credit points	3.43 ECTS
Admission and examination requirements	Enrolled in this course and minimum 80% attendance in lecture
Recommended prerequisites	–
Media employed	Board, LCD Projector, Laptop/Computer, Google Classroom
Forms of assessment	Structured assignment Quiz: 30 %Midterm exam Written: 30 %Final exam Written: 40 %
Intended Learning Outcome
Students are able to concepts, analysis and application of general materials science and its developments in the field of technology.
Module content
Lecture (Class Work) Classification of materialsAtomic structureInteratomic bondingThe structure of crystalline solidImperfections in solid materialsMechanical properties of materialsDielectric materialsMagnetic materialsMetal material
Ceramic materialsPolymer materialsComposite materialsAdvanced materials
Recommended Literatures Sriati Japri, Ilmu dan Teknologi Bahan, Airlangga Callister, W. D., Jr., & Rethwisch, D. G. (2020). Fundamentals of Materials Science and Engineering: An Integrated Approach (6th ed.). Wiley.

FST 6097228 Material Phase Transformation

Module Name	Material Phase Transformation
Module level, if applicable	Undergraduate
Module Identification Code	FST 6097228
Semester(s) in which the module is taught	5th
Person(s) responsible for the module	Arif Tjahjono
Language	Bahasa Indonesia
Relation in Curriculum	Material science elective course for undergraduate program in Physics
Teaching methods, Contact hours	Lecture (Problem Based Learning and Cooperative Learning Method).Structured activities (Assignments Based on Cooperative Learning and Quiz)Self Study (Reading Literature) Contract hours: 2 hour 30 minutes
Workload	Workload per semester (16 weeks) Lecture: 35 hoursMidterm and Final Exam: 5 hoursStructure and Self Study: 63 hoursTotal Workload: 103 hours
Credit points	3.43 ECTS
Admission and examination requirements	Enrolled in this course and minimum 80% attendance in lecture
Recommended prerequisites	–
Media employed	Board, LCD Projector, Laptop/Computer, Google Classroom
Forms of assessment	Structured assignment Quiz: 30 %Midterm exam Written: 30 %Final exam Written: 40 %
Intended Learning Outcome
Students are able to concepts, analysis and application of phase transformation of the material and its developments in the field of technology.
Module content
Lecture (Class Work) The concept of phase transformationSample preparation processThe theory of crystal nucleationThe free energy of a homogeneous nucleation systemThe free energy of heterogeneous nucleation systemsEmbryo size distributionNucleation ratePhase diagramThe eutectic and eutectoid pointsBinary solutionDiffusionLaw of Ficks I and Ficks II
13. Kinematic transformation
Recommended Literatures Nestor Perez. (2020). Phase Transformation in Metals: Mathematics, Theory, and Practice. Springer (Cham) Robert Tuttle. (2024). Phase Diagrams: Key Topics in Materials Science and Engineering. ASM International Brent Fultz. (2020). Phase Transitions in Materials, 2nd ed. — Cambridge University Press Robert Tuttle.(2024). Phase Diagrams: Key Topics in Materials Science and Engineering. ASM International Zsolt Czigány. (2023). Structure and Phase Transformations in Thin Films. MDPI Books

FST 6097229 Material Thermodynamics

Module Name	Material Thermodynamics
Module level, if applicable	Undergraduate
Module Identification Code	FST 6097229
Semester(s) in which the module is taught	5th
Person(s) responsible for the module	Sutrisno
Language	Bahasa Indonesia
Relation in Curriculum	Material science elective course for undergraduate program in Physics
Teaching methods, Contact hours	Lecture (conceptual, contextual and problem-solving approaches through expository, discussions and exercises).Structured activities (assignments based on conceptual, contextual and problem- solving approaches)Self Study (reading literature)Contract hours: 2 hour 30 minutes
Workload	Workload per semester (16 weeks) Lecture: 35 hoursMidterm and Final Exam: 5 hoursStructure and Self Study: 63 hoursTotal Workload: 103 hours
Credit points	3.43 ECTS
Admission and examination requirements	Enrolled in this course and minimum 80% attendance in lecture
Recommended prerequisites	–
Media employed	Board, LCD Projector, Laptop/Computer, Google Classroom
Forms of assessment	Structured assignment Quiz: 40 %Midterm exam Written: 30 %Final exam Written: 30 %
Intended Learning Outcome
Understand the fundamental concepts of thermodynamics, including temperature, pressure, internal energy, and entropy, and how they relate to material behavior.Learn the equations of state and understand their applications in describing the properties of materials under various conditions.Interpret and analyze phase diagrams to understand the phase equilibria and phase transitions of materials.Understand the concepts of Gibbs and Helmholtz free energies and their significance in predicting and explaining material behavior.Familiarize yourself with the laws of thermodynamics, including the first, second, and third laws, and apply them to material systems.Understand the concepts of heat and work in the context of material thermodynamics and their roles in energy transfer.Learn about thermodynamic potentials such as enthalpy and chemical potential and their applications in material science.
Analyze various thermodynamic processes, including isothermal, isobaric, and isentropic processes, and calculate changes in material properties.Understand entropy, its physical meaning, and its role in determining the spontaneity of processes. Calculate entropy changes in material systems.Analyze enthalpy changes in chemical reactions and heat transfer processes, including phase transitions.Apply thermodynamic principles to chemical equilibria, including reaction quotients, equilibrium constants, and Le Chatelier’s principle.Study the behavior of mixtures of materials, including ideal and non-ideal solutions, and calculate properties like activity coefficients.Apply thermodynamic principles to real-world materials, including gases, liquids, and solids, to understand and predict their behavior.Investigate and analyze phase transitions in materials, including the behavior of materials at critical points.Understand the thermodynamics of phase equilibria, such as vapor-liquid equilibria and solid-liquid equilibria, and apply this knowledge to engineering and material science problems.Gain familiarity with experimental techniques used in material thermodynamics, including calorimetry, phase diagram determination, and data analysis.Develop problem-solving skills by applying thermodynamic principles to solve complex material science problems.Engage in research projects and critical analysis of scientific literature related to material thermodynamics.
Module content
Lecture (Class Work) Introduction to Thermodynamics and Material BehaviorFundamental Thermodynamic ConceptsLaws of ThermodynamicsEnthalpy and Heat TransferEntropy and the Second LawGibbs and Helmholtz Free EnergiesPhase Equilibria and Phase DiagramsThermodynamics of MixturesThermodynamics of Real GasesThermodynamics of Solid-State MaterialsThermodynamics of Chemical ReactionsApplications of Material ThermodynamicsExperimental Techniques in Material ThermodynamicsAdvanced Topics in Material Thermodynamics
Recommended Literatures . David R. Gaskell & David E. Laughlin. (2024). Introduction to the Thermodynamics of Materials (7th ed.). CRC Press / Taylor & Francis Ltd Zi-Kui Liu & Yi Wang. (2016). Computational Thermodynamics of Materials. Cambridge University Press

FST 6097230 Crystallography and Diffraction Techniques

Module Name	Crystallography and Diffraction Techniques
Module level, if applicable	Undergraduate
Module Identification Code	FST 6097230
Semester(s) in which the module is taught	6th
Person(s) responsible for the module	Sitti Ahmiatri Saptari
Language	Bahasa Indonesia
Relation in Curriculum	Material science elective course for undergraduate program in Physics
Teaching methods, Contact hours	Lecture (Contextual Instruction and Group Discussion Method).Structured activities (Assignments Based on Group Presentation)Self Study (Reading Literature)Contract hours: 2 hour 30 minutes
Workload	Workload per semester (16 weeks) Lecture: 35 hoursMidterm and Final Exam: 5 hoursStructure and Self Study: 63 hoursTotal Workload: 103 hours
Credit points	3.43 ECTS
Admission and examination requirements	Enrolled in this course and minimum 80% attendance in lecture
Recommended prerequisites	–
Media employed	Board, LCD Projector, Laptop/Computer, Google Classroom
Forms of assessment	Structured assignment Group Presentation: 40 %Midterm exam Written: 30 %Final exam Written: 30 %
Intended Learning Outcome
Students are able to explain basic knowledge about geometry of crystals, properties of x- rays, diffraction, and the intensities of diffracted beams.
Module content
Lecture (Class Work) Geometry of CrystalsCrystal SymmetryCrystal StructureProperties of X-RaysDiffractionThe Intensities of Diffracted BeamsQualitative AnalysisQuantitative Analysis
Recommended Literatures Welberry, T.R. (2018). Diffuse X-ray Scattering and Models of Disorder. Oxford University Press Hammond, C. (2015). The Basics of Crystallography and Diffraction (4th ed.). Oxford University Press Christopher Hammond. (2015). The Basics of Crystallography and Diffraction (Fourth Edition). Oxford University Press, seri International Union of Crystallography Texts on Crystallography

FST 6097231 Mechanical Properties of Materials

Module Name	Mechanical Properties of Materials
Module level, if applicable	Undergraduate
Module Identification Code	FST 6097231
Semester(s) in which the module is taught	6th
Person(s) responsible for the module	Arif Tjahjono
Language	Bahasa Indonesia
Relation in Curriculum	Material science elective course for undergraduate program in Physics
Teaching methods, Contact hours	Lecture (conceptual, contextual and problem-solving approaches through expository, discussions and exercises).Structured activities (assignments based on conceptual, contextual and problem- solving approaches)Self Study (reading literature)Contract hours: 2 hour 30 minutes
Workload	Workload per semester (16 weeks) Lecture: 35 hoursMidterm and Final Exam: 5 hoursStructure and Self Study: 63 hoursTotal Workload: 103 hours
Credit points	3.43 ECTS
Admission and examination requirements	Enrolled in this course and minimum 80% attendance in lecture
Recommended prerequisites	–
Media employed	Board, LCD Projector, Laptop/Computer, Google Classroom
Forms of assessment	Structured assignment Quiz: 40 %Midterm exam Written: 30 %Final exam Written: 30 %
Intended Learning Outcome
Students are able to concepts, analysis and application of mechanical properties of materials and its developments in the field of technology.
Module content
Lecture (Class Work) The concept mechanical properties of materialsThe relationship between mechanical properties and material toughnessVarious testing of mechanical properties of materialsTensile strength propertiesHardness propertiesImpact resistance propertiesWear resistance propertiesThe nature of the material’s buckling abilityFatigue resistance propertiesTorsion strength properties
Corrosion resistance propertiesCreep resistance properties
Recommended Literatures Norman E. Dowling, Stephen L. Kampe, Milo V. Kral. (2019). Mechanical Behavior of Materials (5th ed.). Pearson (Pearson, eu.pearson.com) Zainul Huda. (2021). Mechanical Behavior of Materials: Fundamentals, Analysis, and Calculations. Springer Cham (SpringerLink) Jorge Luis González-Velázquez. (2019). Mechanical Behavior and Fracture of Engineering Materials. Springer Cham (SpringerLink) Rajiv S. Mishra, Indrajit Charit & Ravi Sankar Haridas. (2025). Mechanical Behavior of Materials: Deformation and Design (1st ed.). Elsevier (Elsevier Educate)

FST 6097232 Material Characterization

Module Name	Material Characterization
Module level, if applicable	Undergraduate
Module Identification Code	FST 6097232
Semester(s) in which the module is taught	6th
Person(s) responsible for the module	Arif Tjahjono
Language	Bahasa Indonesia
Relation in Curriculum	Material science elective course for undergraduate program in Physics
Teaching methods, Contact hours	Lecture (conceptual, contextual and problem-solving approaches through expository, discussions and exercises).Structured activities (assignments based on conceptual, contextual and problem- solving approaches)Self Study (reading literature)Contract hours: 2 hour 30 minutes
Workload	Workload per semester (16 weeks) Lecture: 35 hoursMidterm and Final Exam: 5 hoursStructure and Self Study: 63 hoursTotal Workload: 103 hours
Credit points	3.43 ECTS
Admission and examination requirements	Enrolled in this course and minimum 80% attendance in lecture
Recommended prerequisites	–
Media employed	Board, LCD Projector, Laptop/Computer, Google Classroom
Forms of assessment	Structured assignment Quiz: 40 %Midterm exam Written: 30 %Final exam Written: 30 %
Intended Learning Outcome
Students are able to concepts, analysis and application of characterization of materials and its developments in the field of technology.
Module content
Lecture (Class Work) Basic concept of characterization of non-destructive and destructive test materialsMaterial characterization equipment utilizing X-rays and lightEquipment with non-destructive test material characterizationPrinciple and analysis of XRD characterizationPrinciple and analysis of XRF characterizationPrinciple and analysis of SEM characterizationPrinciple and analysis of FESEM characterizationPrinciple and analysis of optical microscopy characterizationPrinciple and analysis of metallographic characterizationPrinciple and analysis of radiographic characterization

Principle and analysis of EDX characterizationPrinciple and analysis of PSA characterizationPrinciple and analysis of EDX characterizationPrinciple and analysis of FTIR characterization

Recommended Literatures

Ramiro Pérez Campos, Antonio Contreras Cuevas, Rodrigo Esparza Muñoz. (2015). Materials Characterization. Springer Cham (SpringerLink)

Jian Li et al. (editor kolektif). (2020). Characterization of Minerals, Metals, and Materials. Springer Cham (SpringerLink)

Surender Kumar Sharma. (2018). Handbook of Materials Characterization. Springer Cham (SpringerLink)

Sean Patrick Rigby. (2020). Structural Characterisation of Natural and Industrial Porous Materials: A Manual. Springer Cham (SpringerLink)

Victorino Franco & Brad Dodrill. (2021). Magnetic Measurement Techniques for Materials Characterization. Springer Cham (SpringerLink)

Kaushik Kumar & Divya Zindani. (2024). Engineering Materials Characterization. De Gruyter Brill (De Gruyter Brill)

Euth Ortiz Ortega et al. (2023). Material Characterization Techniques and Applications. Springer Singapore

FST 6097233 Composite Physics

Module Name	Composite Physics
Module level, if applicable	Undergraduate
Module Identification Code	FST 6097233
Semester(s) in which the module is taught	7th
Person(s) responsible for the module	Biaunik Niski Kumila
Language	Bahasa Indonesia
Relation in Curriculum	Material science elective course for undergraduate program in Physics
Teaching methods, Contact hours	Lecture (conceptual, contextual and problem-solving approaches through expository, discussions and exercises).Structured activities (assignments based on conceptual, contextual and problem- solving approaches)Self Study (reading literature)Contract hours: 2 hour 30 minutes
Workload	Workload per semester (16 weeks) Lecture: 35 hoursMidterm and Final Exam: 5 hoursStructure and Self Study: 63 hoursTotal Workload: 103 hours
Credit points	3.43 ECTS
Admission and examination requirements	Enrolled in this course and minimum 80% attendance in lecture
Recommended prerequisites	–
Media employed	Board, LCD Projector, Laptop/Computer, Google Classroom
Forms of assessment	Structured assignment Quiz: 40 %Midterm exam Written: 30 %Final exam Written: 30 %
Intended Learning Outcome
Students are able to explain the types and distinguish the characteristics of composites based on their structure and are able to calculate their mechanical and electrical parameters.
Module content
Lecture (Class Work) Particle-Reinforced CompositesFiber-Reinforced CompositesStructural Composites
Recommended Literatures William D. Callister JR, David G. Rethswisch, 2015, “Fundamentals of Materials Science and Engineering An Integrated Approach 5th edition”, John Willey & Sons, Inc, USA Krishan K. Chawla. (2019). Composite Materials: Science and Engineering (4th ed.). Springer Cham (SpringerLink) Andreas Öchsner. (2023). Composite Mechanics. Springer Cham (SpringerLink) Ashutosh Tiwari et al. (eds.). (2016). Advanced Composite Materials. Wiley / Scrivener (Wiley Online Library) Darren Martin (ed.). (2021). Frontiers of Composite Materials V (Proceedings). Trans Tech Publications (Scientific.Net)

FST 6097234 Ceramics Physics

Module Name	Ceramics Physics
Module level, if applicable	Undergraduate
Module Identification Code	FST 6097234
Semester(s) in which the module is taught	7th
Person(s) responsible for the module	Sitti Ahmiatri Saptari
Language	Bahasa Indonesia
Relation in Curriculum	Material science elective course for undergraduate program in Physics
Teaching methods, Contact hours	Lecture (conceptual, contextual and problem-solving approaches through expository, discussions and exercises).Structured activities (assignments based on conceptual, contextual and problem- solving approaches)Self Study (reading literature)Contract hours: 2 hour 30 minutes
Workload	Workload per semester (16 weeks) Lecture: 35 hoursMidterm and Final Exam: 5 hoursStructure and Self Study: 63 hoursTotal Workload: 103 hours
Credit points	3.43 ECTS
Admission and examination requirements	Enrolled in this course and minimum 80% attendance in lecture
Recommended prerequisites	–
Media employed	Board, LCD Projector, Laptop/Computer, Google Classroom
Forms of assessment	Structured assignment Quiz: 40 %Midterm exam Written: 30 %Final exam Written: 30 %
Intended Learning Outcome
Students are able to explain basic knowledge about ceramics, properties of ceramics, applications of ceramics, advanced ceramics and fabrication of ceramics.
Module content
Lecture (Class Work) IntroductionCrystal StructureSilicate CeramicsCarbonImperfections in CeramicsCeramic Phase DiagramsMechanical PropertiesTypes and Applications of CeramicsAdvanced Ceramics
10. Fabrication and Processing of Ceramics
Recommended Literatures W.D. Callister. (2020). Fundamentals of Materials Science and Engineering (5 edition). John Wiley & Sons, Inc. Krishan K. Chawla. (2019). Composite Materials: Science and Engineering (4th ed.). Springer Cham Andreas Öchsner. (2023). Composite Mechanics. Springer Cham Ashutosh Tiwari et al. (eds.). (2016). Advanced Composite Materials. Wiley / Scrivener Darren Martin (ed.). (2021). Frontiers of Composite Materials V (Conference Proceedings). Trans Tech Publications E.E. Gdoutos. (2017). Comprehensive Composite Materials – II, Volume 1: Fiber Reinforcements and General Theory of Composites. Elsevier (Pergamon)

FST 6097235 Polymer Physics

Module Name	Polymer Physics
Module level, if applicable	Undergraduate
Module Identification Code	FST 6097235
Semester(s) in which the module is taught	7th
Person(s) responsible for the module	Ambran Hartono
Language	Bahasa Indonesia
Relation in Curriculum	Material science elective course for undergraduate program in Physics
Teaching methods, Contact hours	Lecture (conceptual, contextual and problem-solving approaches through expository, discussions and exercises).Structured activities (assignments based on conceptual, contextual and problem- solving approaches)Self Study (reading literature)Contract hours: 2 hour 30 minutes
Workload	Workload per semester (16 weeks) Lecture: 35 hoursMidterm and Final Exam: 5 hoursStructure and Self Study: 63 hoursTotal Workload: 103 hours
Credit points	3.43 ECTS
Admission and examination requirements	Enrolled in this course and minimum 80% attendance in lecture
Recommended prerequisites	–
Media employed	Board, LCD Projector, Laptop/Computer, Google Classroom
Forms of assessment	Structured assignment Quiz: 40 %Midterm exam Written: 30 %Final exam Written: 30 %
Intended Learning Outcome
Students are able to explain basic knowledge about Physics Polymer and Trend Applications, both Characterization Techniques and practical, in accordance with the principle prevailing at the international level
Module content
Lecture (Class Work) IntroductionHistory of Polymer SciencePolymer MicrostructureClassification Of PolymerTypes of Polymer SubstancesMolar Mass Distribution and MeasurementIdeal Chains of PolymerConformation of a Model Chains
Free Energy of a ChainReal Chains of PolymerDeforming Real and Ideal ChainsTemperature Effect on Real ChainThermodynamics of MixingPolymer Solutions
Recommended Literatures Ulf W. Gedde & Mikael S. Hedenqvist. (2019). Fundamental Polymer Science. Springer Célio Pinto Fernandes, Luís Lima Ferrás & Alexandre M. Afonso. (2024). Polymers Physics: From Theory to Experimental Applications George D. J. Phillies. (2022). Polymer Physics: Phenomenology of Polymeric Fluid Simulations (arXiv chapter)

FST 6097236 Metal and Alloy Physics

Module Name	Metal and Alloy Physics
Module level, if applicable	Undergraduate
Module Identification Code	FST 6097236
Semester(s) in which the module is taught	7th
Person(s) responsible for the module	Arif Tjahjono
Language	Bahasa Indonesia
Relation in Curriculum	Material science elective course for undergraduate program in Physics
Teaching methods, Contact hours	Lecture (conceptual, contextual and problem-solving approaches through expository, discussions and exercises).Structured activities (assignments based on conceptual, contextual and problem- solving approaches)Self Study (reading literature)Contract hours: 2 hour 30 minutes
Workload	Workload per semester (16 weeks) Lecture: 35 hoursMidterm and Final Exam: 5 hoursStructure and Self Study: 63 hoursTotal Workload: 103 hours
Credit points	3.43 ECTS
Admission and examination requirements	Enrolled in this course and minimum 80% attendance in lecture
Recommended prerequisites	–
Media employed	Board, LCD Projector, Laptop/Computer, Google Classroom
Forms of assessment	Structured assignment Quiz: 40 %Midterm exam Written: 30 %Final exam Written: 30 %
Intended Learning Outcome
Students are able to concepts, analysis and application of metal physics and its developments in the field of technology.
Module content
Lecture (Class Work) Concept of metals and alloysClassification of metallic and non-metallic materialsCharacteristics of metal materialsIron ore refining techniquesTechniques for making pig ironSteel making techniqueAlumunium refining techniquesClassification of ironClassification of steelMicrostructure of metal materials
Techniques to improve the quality of metalThe result of modern metal alloy engineering
Recommended Literatures Tjahjono Arif, Fisika Logam dan Alloy, 2013, UIN Press Amit Bhaduri. (2018). Mechanical Properties and Working of Metals and Alloys. Springer Singapore Ramiro Pérez Campos, Antonio Contreras Cuevas, Rodrigo A. Esparza Muñoz. (2018). Characterization of Metals and Alloys. Springer Cham. Gong Pan, Maojun Li, Guangchao Han, Xin Wang. (2023). Physical Metallurgy of Metals and Alloys (Reprint). MDPI Books Gong Pan, Maojun Li, Guangchao Han, Xin Wang. (2024). Physical Metallurgy of Metals and Alloys II (Reprint). MDPI Books Farazila Binti Yusof, Xiao Hong Zhu, Jae Jin Shim, Kiang Hwee Tan, Azher M. Abed. 2024. Alloys, Steel, Metal Joining and Materials Processing. Trans Tech Publications

FST 6097237 Materials Modelling

Module Name	Materials Modelling
Module level, if applicable	Undergraduate
Module Identification Code	FST 6097237
Semester(s) in which the module is taught	7th
Person(s) responsible for the module	Elvan Yuniarti
Language	Bahasa Indonesia
Relation in Curriculum	Material science elective course for undergraduate program in Physics
Teaching methods, Contact hours	Lecture (Contextual Instruction and Project Based Learning Method).Structured activities (Assignments Based on Group Presentation After Finishing The Project)Self Study (reading literature)Contract hours: 2 hour 30 minutes
Workload	Workload per semester (16 weeks) Lecture: 35 hoursMidterm and Final Exam: 5 hoursStructure and Self Study: 63 hoursTotal Workload: 103 hours
Credit points	3.43 ECTS
Admission and examination requirements	Enrolled in this course and minimum 80% attendance in lecture
Recommended prerequisites	–
Media employed	Board, LCD Projector, Laptop/Computer, Google Classroom
Forms of assessment	Structured assignment Group Presentation: 40 %Midterm exam Written: 30 %Final exam Written: 30 %
Intended Learning Outcome
Understand the fundamental concepts of materials modelling, including the principles of quantum mechanics, statistical mechanics, and molecular dynamics.Gain proficiency in using computational tools and software for materials modelling, such as density functional theory (DFT), molecular dynamics (MD), and Monte Carlo simulations.Learn how to develop and implement mathematical models that describe the behavior of materials, considering the interplay of atomic and molecular interactions.Use computational techniques to predict material properties, including electronic structure, mechanical properties, thermodynamic properties, and transport properties.Explore the relationships between material structure and its properties, enabling the prediction of material performance.Understand the principles of quantum mechanics and its application in electronic structure calculations, including the Schrödinger equation and wave functions.
Gain proficiency in molecular dynamics simulations to study the motion of atoms and molecules over time, enabling the prediction of material behavior under various conditions.Learn to perform Monte Carlo simulations to model the statistical behavior of materials, such as phase transitions and thermodynamic properties.Develop skills in validating and verifying computational models by comparing their predictions with experimental data and benchmarking against known materials.Understand the role of high-performance computing (HPC) in materials modelling and gain practical experience in running simulations on HPC clusters.Use materials modelling techniques to design and optimize materials for specific applications, such as in the development of new materials with tailored properties.Collaborate with experts from related fields, such as materials science, chemistry, and physics, to address complex materials challenges.Analyze and visualize simulation data to extract meaningful insights and gain a deeper understanding of material behavior.Understand ethical considerations in materials modelling, including data sharing, attribution, and responsible conduct of research.Develop problem-solving skills and critical thinking abilities to address complex materials-related questions and challenges.Communicate findings and results effectively to both technical and non-technical audiences.
Module content
Lecture (Class Work) Function and challenge deep computing material modellingMany Electrons ProblemIntroduction Density Functional TheoryDFT Calculation for simple SolidsNuts and Bolts of DFT CalculationDFT Calculation for Surface of SolidsDFT Calculation of Vibrational FrequenciesCalculation Rates of Chemical Processes Using Transition State TheoryEquilibrium Phase Diagram from ab Initio ThermodynamicsElectronic Structure and Magnetic PropertiesAb Initio Molecular DynamicsAccuracy and Methods beyond “Standard” Calculation
Recommended Literatures Lee, J. G. (2017). Computational Materials Science: An Introduction. CRC Press. Allen, M. P., & Tildesley, D. J. (2017). Computer Simulation of Liquids. Oxford University Press. Martin Oliver Steinhauser. (2022). Computational Multiscale Modeling of Fluids and Solids: Theory and Applications, 3rd ed. Springer Cham Holm Altenbach, Michael Beitelschmidt, Markus Kästner, Konstantin Naumenko & Thomas Wallmersperger. (2022). Material Modeling and Structural Mechanics. Springer Cham Francesco De Bona, Jelena Srnec Novak & Francesco Mocera. (2024). Material Modeling in Multiphysics Simulation (Reprint). MDPI Books Shuwen Wen, Yongle Sun & Xin Chen (eds.). (2025). Numerical Modelling on Metallic Materials (Reprint). MDPI Books

SPECIALIZATION ELECTIVE COURSES (INSTRUMENTATION)

FST 6097215 Advanced Electronics and Digital

Module Name	Advanced Electronics and Digital
Module level, if applicable	Undergraduate
Module Identification Code	FST 6097215
Semester(s) in which the module is taught	5th
Person(s) responsible for the module	Dewi Lestari
Language	Bahasa Indonesia
Relation in Curriculum	Instrumentation elective course for undergraduate program in Physics
Teaching methods, Contact hours	Lecture (conceptual, contextual and problem-solving approaches through expository, discussions and exercises).Structured activities (assignments based on conceptual, contextual and problem- solving approaches)Self Study (reading literature)Contract hours: 2 hour 30 minutes
Workload	Workload per semester (16 weeks) Lecture: 35 hoursMidterm and Final Exam: 5 hoursStructure and Self Study: 63 hoursTotal Workload: 103 hours
Credit points	3.43 ECTS
Admission and examination requirements	Enrolled in this course and minimum 80% attendance in lecture
Recommended prerequisites	–
Media employed	Board, LCD Projector, Laptop/Computer, Google Classroom
Forms of assessment	Structured assignment Quiz: 40 %Midterm exam Written: 30 %Final exam Written: 30 %
Intended Learning Outcome
Develop advanced skills in designing digital circuits, including sequential logic circuits, state machines, and complex combinational circuits.Understand the architecture, programming, and interfacing of microcontrollers and microprocessors, including common microcontroller families like Arduino or PIC.Learn advanced techniques for processing and filtering analog and digital signals, including Fourier analysis, digital filtering, and signal conditioning.Gain proficiency in programming field-programmable gate arrays (FPGAs) and implementing digital systems on FPGA platforms.Study advanced concepts in communication systems, including modulation techniques, data encoding, and digital communication protocols.
Explore advanced digital components such as shift registers, counters, memory devices, and programmable logic devices (PLDs).Learn how to integrate various electronic components and modules into larger electronic systems, including sensors, displays, and communication interfaces.Develop skills in designing embedded systems, including selecting appropriate hardware and software components, interfacing with sensors and actuators, and real- time programming.Understand the principles of mixed-signal electronics, which combine both analog and digital components, and apply this knowledge to practical designs.Become proficient in using circuit simulation software and analysis tools to model and verify the behavior of complex electronic systems.Acquire advanced troubleshooting and debugging skills to identify and rectify issues in electronic circuits and systems.Learn techniques for verifying the correctness of digital systems, including simulation, testing, and formal verification methods.Optimize digital systems for performance, power consumption, and resource utilization, including the use of hardware description languages (HDLs) like VHDL or Verilog.Develop project management skills for planning and executing advanced electronics projects, including defining project scope, milestones, and resource allocation.
Module content
Lecture (Class Work) Advanced Digital Circuit DesignMicrocontroller and Microprocessor SystemsAnalog and Digital Signal ProcessingFPGA Programming and Digital System ImplementationCommunication SystemsAdvanced Digital Electronics ComponentsElectronic System IntegrationEmbedded Systems DesignMixed-Signal SystemsCircuit Simulation and Analysis ToolsTroubleshooting and DebuggingDigital System VerificationDigital System Optimization
Recommended Literatures Harris, D., & Harris, S. (2017). Digital Design and Computer Architecture (2nd ed.). Morgan Kaufmann. Tokheim, R. L., & Hoppe, P. E. (2021). Digital Electronics: Principles and Applications (9th ed.). McGraw-Hill. Sedha, R. S., & Thakre, L. (2025). A Textbook of Digital Electronics. S Chand Publishing. Simões, M. G., & Busarello, T. D. C. (Eds.). (2024). Power Electronic Converters and Systems, Volume 1: Converters and Machine Drives (2nd ed.). IET. Andina, J. J. R., Arnanz, E. D. L. T., & Peña, M. D. V. (2020). FPGAs: Fundamentals, Advanced Features, and Applications in Industrial Electronics. CRC Press. Horowitz, P., & Hill, W. (2015). The Art of Electronics (3rd ed.). Cambridge University Press.

FST 6097216 Advanced Electronics and Digital Laboratory Work

Module Name	Advanced Electronics and Digital Laboratory Work
Module level, if applicable	Undergraduate
Module Identification Code	FST 6097216
Semester(s) in which the module is taught	5th
Person(s) responsible for the module	Dewi Lestari
Language	Bahasa Indonesia
Relation in Curriculum	Instrumentation elective course for undergraduate program in Physics
Teaching methods, Contact hours	Laboratory workGroup discussionContract hours: 2 hour 30 minutes
Workload	Workload per semester (16 weeks) Laboratory Work: 35 hoursMidterm and Final Exam: 5 hoursStructure and Self Study: 63 hoursTotal Workload: 103 hours
Credit points	1.17 ECTS
Admission and examination requirements	Enrolled in this course and minimum 80% attendance in lecture
Recommended prerequisites	–
Media employed	Board, LCD Projector, and Laboratory work equipment (List in Laboratory Work Guide for Advanced Electronics and Digital)
Forms of assessment	Structured assignment Laboratory work report: 60 %Midterm exam Written: 20 %Final exam Written: 20 %
Intended Learning Outcome
Develop advanced skills in designing digital circuits, including sequential logic circuits, state machines, and complex combinational circuits.Understand the architecture, programming, and interfacing of microcontrollers and microprocessors, including common microcontroller families like Arduino or PIC.Learn advanced techniques for processing and filtering analog and digital signals, including Fourier analysis, digital filtering, and signal conditioning.Gain proficiency in programming field-programmable gate arrays (FPGAs) and implementing digital systems on FPGA platforms.Study advanced concepts in communication systems, including modulation techniques, data encoding, and digital communication protocols.Explore advanced digital components such as shift registers, counters, memory devices, and programmable logic devices (PLDs).Learn how to integrate various electronic components and modules into larger electronic systems, including sensors, displays, and communication interfaces.
Develop skills in designing embedded systems, including selecting appropriate hardware and software components, interfacing with sensors and actuators, and real- time programming.Understand the principles of mixed-signal electronics, which combine both analog and digital components, and apply this knowledge to practical designs.Become proficient in using circuit simulation software and analysis tools to model and verify the behavior of complex electronic systems.Acquire advanced troubleshooting and debugging skills to identify and rectify issues in electronic circuits and systems.Learn techniques for verifying the correctness of digital systems, including simulation, testing, and formal verification methods.Optimize digital systems for performance, power consumption, and resource utilization, including the use of hardware description languages (HDLs) like VHDL or Verilog.Develop project management skills for planning and executing advanced electronics projects, including defining project scope, milestones, and resource allocation.Explore interdisciplinary applications of advanced electronics and digital systems in areas such as robotics, automation, control systems, and embedded product development.Gain proficiency in advanced prototyping and fabrication techniques, including PCB design, surface-mount soldering, and 3D printing for enclosures.Understand ethical considerations in electronic design and engineering, including issues related to intellectual property, privacy, and safety.Develop advanced problem-solving skills to address complex issues in electronic systems and circuits.
Module content
Lecture: Regulation and Laboratory Safety InductionEquipment introduction Laboratory work activities: Advanced Digital Circuit DesignMicrocontroller and Microprocessor SystemsAnalog and Digital Signal ProcessingFPGA Programming and Digital System ImplementationCommunication SystemsAdvanced Digital Electronics ComponentsElectronic System IntegrationEmbedded Systems DesignMixed-Signal SystemsCircuit Simulation and Analysis ToolsTroubleshooting and DebuggingDigital System VerificationDigital System Optimization
Recommended Literatures Laboratory Work Guide for Advanced Electronics and Digital

FST 6097217 Fundamentals of Electrical Circuits

Module Name	Fundamentals of Electrical Circuits
Module level, if applicable	Undergraduate
Module Identification Code	FST 6097217
Semester(s) in which the module is taught	5th
Person(s) responsible for the module	Dewi Lestari
Language	Bahasa Indonesia
Relation in Curriculum	Instrumentation elective course for undergraduate program in Physics
Teaching methods, Contact hours	Lecture (conceptual, contextual and problem-solving approaches through expository, discussions and exercises).Structured activities (assignments based on conceptual, contextual and problem- solving approaches)Self Study (reading literature)Contract hours: 1 hour 40 minutes
Workload	Workload per semester (16 weeks) Lecture: 35 hoursMidterm and Final Exam: 5 hoursStructure and Self Study: 63 hoursTotal Workload: 103 hours
Credit points	2.76 ECTS
Admission and examination requirements	Enrolled in this course and minimum 80% attendance in lecture
Recommended prerequisites	–
Media employed	Board, LCD Projector, Laptop/Computer, Google Classroom
Forms of assessment	Structured assignment Quiz: 40 %Midterm exam Written: 30 %Final exam Written: 30 %
Intended Learning Outcome
After studying the Basics of Electrical Circuits Lecture, students are expected to comprehend the fundamental concepts of electrical circuits. Moreover, they should be capable of explaining and analysing the following topics: Electric Circuit Elements, Circuit Laws, Circuit Analysis Methods, Basic Circuit Theorems, AC Basics, AC Circuit Analysis, Power in RLC Circuits, Complex Frequencies and Transfer Functions, Frequency Response and Resonance, Magnetic Clutch Circuits, and Transient Circuits, along with understanding their applications in the field of electronics.
Module content
Lecture (Class Work) Basic Concepts of Electrical CircuitsElectric Circuit ElementsLaws – Laws of CircuitsCircuit Analysis MethodBasic Circuit Theorem
AC BasicsAC Circuit AnalysisPower in RLC CircuitsComplex Frequencies and Transfer FunctionsFrequency Response and ResonanceMagnetic Clutch CircuitTransient Circuit
Recommended Literatures Alexander, C. K., & Sadiku, M. N. O. (2017). Fundamentals of Electric Circuits (6th ed.). McGraw-Hill Education. Boylestad, R. L., & Nashelsky, L. (2015). Electronic Devices and Circuit Theory (11th ed.). Pearson Education. Floyd, T. L. (2015). Digital Fundamentals (11th ed.). Pearson Education. Horowitz, P., & Hill, W. (2015). The Art of Electronics (3rd ed.). Cambridge University Press. Malvino, A. P., & Bates, D. J. (2015). Electronic Principles (8th ed.). McGraw-Hill Education.

FST 6097218 Sensors and Actuators

Module Name	Sensors and Actuators
Module level, if applicable	Undergraduate
Module Identification Code	FST 6097218
Semester(s) in which the module is taught	5th
Person(s) responsible for the module	Dewi Lestari
Language	Bahasa Indonesia
Relation in Curriculum	Instrumentation elective course for undergraduate program in Physics
Teaching methods, Contact hours	Lecture (conceptual, contextual and problem-solving approaches through expository, discussions and exercises).Structured activities (assignments based on conceptual, contextual and problem- solving approaches)Self Study (reading literature)Contract hours: 2 hour 30 minutes
Workload	Workload per semester (16 weeks) Lecture: 35 hoursMidterm and Final Exam: 5 hoursStructure and Self Study: 63 hoursTotal Workload: 103 hours
Credit points	3.43 ECTS
Admission and examination requirements	Enrolled in this course and minimum 80% attendance in lecture
Recommended prerequisites	–
Media employed	Board, LCD Projector, Laptop/Computer, Google Classroom
Forms of assessment	Structured assignment Quiz: 40 %Midterm exam Written: 30 %Final exam Written: 30 %
Intended Learning Outcome
After completing this course, the students should have: Understand the fundamental principles of sensors and actuators, including their functionality, operating principles, and applications in various engineering fields.Demonstrate proficiency in analyzing and selecting appropriate sensors and actuators for specific applications, considering factors such as sensitivity, accuracy, response time, and environmental conditions.Apply principles of transduction mechanisms, including electrical, mechanical, optical, and thermal transduction, to analyze and design sensors and actuators for measuring and controlling physical quantities.Understand the principles of sensor calibration and characterization, including calibration methods, error analysis, and uncertainty estimation, to ensure accurate and reliable sensor measurements.
Analyze and design sensor interface circuits, including signal conditioning circuits, amplifiers, filters, and analog-to-digital converters, to process and convert sensor signals into usable digital data.Understand the principles of feedback control systems and actuators, including proportional-integral-derivative (PID) control, actuators dynamics, and control algorithms, to design and implement closed-loop control systems.Apply principles of microfabrication and nanotechnology to design and fabricate microelectromechanical systems (MEMS) and nanoelectromechanical systems (NEMS) for sensing and actuation applications.Understand the principles of wireless sensor networks and Internet of Things (IoT) technologies and their applications in distributed sensing and control systems.
Module content
Lecture (Class Work) Sensors and Actuators in GeneralTemperature Sensors and Thermal ActuatorsOptical Sensors and ActuatorsMagnetic and Electric Sensors and ActuatorsMechanical Sensors and ActuatorsAcoustic Sensors and ActuatorsChemical Sensors and ActuatorsRadiation Sensors and ActuatorsMEMS Sensors and Actuators
Recommended Literatures de Silva, C.W. 2016. Sensors and Actuators Engineering System Instrumentation Second Edition. Taylor & Francis Group, LLC. Ramesha, N. Z., Saagoto, S., Zonayed, M., Jhara, S. S., Tasnim, R., & Huq, E. (2024). Sensors and Actuators. In: Rahman, M. M., Mahbub, F., Tasnim, R., & Saleheen, R. U. (Eds.), Mechatronics. Springer, Singapura. Vigna, B., Ferrari, P., Villa, F. F., Lasalandra, E., & Zerbini, S. (Eds.). (2022). Silicon Sensors and Actuators. Springer International Publishing. Rupitsch, S. J. (2019). Piezoelectric Sensors and Actuators. Springer Berlin Heidelberg. Shu, J., Wang, J., Cheng, K. C., Yeung, L. F., Li, Z., & Tong, R. K. Y. (2023). An end-to-end dynamic posture perception method for soft actuators based on distributed thin flexible porous piezoresistive sensors. Sensors, 23(13), 6189.

FST 6097219 Control System

Module Name	Control System
Module level, if applicable	Undergraduate
Module Identification Code	FST 6097219
Semester(s) in which the module is taught	6th
Person(s) responsible for the module	Dewi Lestari
Language	Bahasa Indonesia
Relation in Curriculum	Instrumentation elective course for undergraduate program in Physics
Teaching methods, Contact hours	Lecture (Case Study and Project Based Method).Structured activities (Assignments Based on Group Discussion and Quiz)Self Study (Reading Literature)Contract hours: 2 hour 30 minutes
Workload	Workload per semester (16 weeks) Lecture: 35 hoursMidterm and Final Exam: 5 hoursStructure and Self Study: 63 hoursTotal Workload: 103 hours
Credit points	3.43 ECTS
Admission and examination requirements	Enrolled in this course and minimum 80% attendance in lecture
Recommended prerequisites	–
Media employed	Board, LCD Projector, Laptop/Computer, Google Classroom
Forms of assessment	Structured assignment Quiz: 40 %Midterm exam Written: 30 %Final exam Written: 30 %
Intended Learning Outcome
Understand the fundamental principles and concepts of control systems, including feedback, open-loop, and closed-loop control.Develop the ability to model dynamic systems using differential equations and transfer functions.Analyze the stability, transient response, and steady-state performance of control systems using mathematical tools, such as Laplace transforms and frequency domain analysis.Design controllers (PID, state-space, etc.) to achieve desired system behavior, considering stability, performance, and robustness.Differentiate between various control system types, including proportional-integral- derivative (PID), lead-lag, and state-space controllers.Perform frequency domain analysis using Bode plots, Nyquist plots, and root locus plots to assess system stability and performance.Understand the principles of digital control systems, including discretization of continuous systems, Z-transforms, and digital controller design.
Develop the ability to simulate control systems using software tools (e.g., MATLAB/Simulink) and analyze their behavior.Gain practical experience in implementing control systems using microcontrollers, PLCs (Programmable Logic Controllers), and other hardware.Learn techniques for system identification, including model parameter estimation and data-driven modeling.Optimize control systems for improved performance, stability, and energy efficiency.Explore robust control techniques to handle uncertainty and disturbances in real- world systems.Apply control theory to real-world applications, such as robotics, automotive control, process control, and aerospace systems.Gain proficiency in using specialized control system analysis and design software tools.Develop skills in diagnosing and troubleshooting control system issues and performance problems.Understand the ethical and safety considerations in control system design and implementation.Apply control system theory and techniques to design and implement control systems for practical projects, either individually or in groups.Document control system design, analysis, and implementation processes effectively in reports and presentations.Develop a mindset of continuous learning and keeping up-to-date with advancements in control system technology and theory.
Module content
Lecture (Class Work) Introduction to Control SystemsMathematical Modeling of Dynamic SystemsSystem Time Response AnalysisFrequency Domain AnalysisController Design – Part 1Controller Design – Part 2Digital Control SystemsState-Space RepresentationPractical ImplementationSystem Identification and Parameter EstimationControl System OptimizationRobust Control
Recommended Literatures Nise, N. S. (2020). Control Systems Engineering (8th ed.). Wiley. Ogata, K. (2019). Modern Control Engineering (5th ed.). Pearson. Duffie, N. A. (2022). Control Theory Applications for Dynamic Production Systems: Time and Frequency Methods for Analysis and Design. Wiley. Medioli, A., & Goodwin, G. (2024). Practical Control System Design: Real World Designs Implemented on Emulated Industrial Systems. Wiley. Ding, B., & Yang, Y. (2024). Model Predictive Control (1st ed.). Wiley. Sename, O. (2025). Linear Parameter-Varying Control: Theory and Application to Automotive Systems. Wiley.

FST 6097220 Embedded System

Module Name	Embedded System
Module level, if applicable	Undergraduate
Module Identification Code	FST 6097220
Semester(s) in which the module is taught	6th
Person(s) responsible for the module	Dewi Lestari
Language	Bahasa Indonesia
Relation in Curriculum	Instrumentation elective course for undergraduate program in Physics
Teaching methods, Contact hours	Lecture (conceptual, contextual and problem-solving approaches through expository, discussions and exercises).Structured activities (assignments based on conceptual, contextual and problem- solving approaches)Self Study (reading literature)Contract hours: 2 hour 30 minutes
Workload	Workload per semester (16 weeks) Lecture: 35 hoursMidterm and Final Exam: 5 hoursStructure and Self Study: 63 hoursTotal Workload: 103 hours
Credit points	3.43 ECTS
Admission and examination requirements	Enrolled in this course and minimum 80% attendance in lecture
Recommended prerequisites	–
Media employed	Board, LCD Projector, Laptop/Computer, Google Classroom
Forms of assessment	Structured assignment Quiz: 40 % Midterm exam Written: 30 % Final exam Written: 30 %
Intended Learning Outcome
Understand the fundamental principles of embedded systems, including hardware and software components, and their applications in various industries.Design and develop embedded systems solutions using microcontrollers, sensors, and actuators to solve real-world problems.Analyze and troubleshoot embedded systems by applying debugging techniques and diagnostic tools.Demonstrate proficiency in programming languages commonly used in embedded systems development, such as C and assembly language.Explore and evaluate different communication protocols and interfaces used in embedded systems, such as UART, SPI, I2C, and CAN.Develop efficient and reliable firmware for embedded systems that meets performance and resource constraints.Apply knowledge of power management techniques to optimize energy consumption in embedded systems for battery-powered applications.
Collaborate effectively in multidisciplinary teams to design and implement embedded systems projects.Evaluate and select appropriate sensors, actuators, and components for specific embedded system applications based on technical requirements and constraints.Demonstrate a strong understanding of safety and security considerations in embedded systems design and implementation.Stay current with emerging trends and technologies in the field of embedded systems through continuous learning and research.Communicate technical concepts and solutions related to embedded systems effectively, both orally and in written form.
Module content
Lecture (Class Work) Introduction to microcontroller technologyAVR microcontroller architecture and Arduino platformRegister and Port I / O AVR microcontrollerInstruction Set on AVR microcontrollerArduino Board and Interface ConceptsArduino programmingInterrupt, Timer and Counter AVR microcontrollerArduino simple application circuit
Recommended Literatures Arduino, http://www.arduino.cc diakses tanggal 3 Februai 2023.Arifin, Bustanul. 2013. Modul Praktikum Sistem Mikroprosesor. Fakultas Teknologi Industri, Unissula Semarang: Semarang.Banzi, Massimo. 2008. Gettting Started with Arduino: O’Reilly.Budioko T. 2005. Belajar dengan Mudah dan Cepat Pemrograman Bahasa C dengan SDCC pada Mikrokontroler Teori, Simulasi dan Aplikasi. Gava media: YogyakartaJunaedi F. 2007. Algoritma dan Pemrograman. Penerbit Salemba Infotek: Jakarta.Keunsuk, Lee. 2002. Application of The Devantec SRF04 Ultrasonic Rang Finder.Munir R. 2005. Algoritma dan Pemrograman dalam bahasa Pascal dan C. Edisi ke- 3. Penerbit Informatika: Bandung Physical computing, http://en.wikipedia.org/wiki/Physical_computing. diakses tanggal 20 Agustus 2015.Raharjo B. 2007. Pemrograman C++ Mudah dan Cepat Menjadi Master C. Penerbit Informatika: Bandung.N. Cottingham & D. A. Greenwood, An Introduction to Nuclear Physics, 2nd Ed., Cambridge University Press, 2001.

FST 6097221 Instrumentation System Programming

Module Name	Instrumentation System Programming
Module level, if applicable	Undergraduate
Module Identification Code	FST 6097221
Semester(s) in which the module is taught	6th
Person(s) responsible for the module	Dewi Lestari
Language	Bahasa Indonesia
Relation in Curriculum	Instrumentation elective course for undergraduate program in Physics
Teaching methods, Contact hours	Lecture (conceptual, contextual and problem-solving approaches through expository, discussions and exercises).Structured activities (assignments based on conceptual, contextual and problem- solving approaches)Self Study (reading literature)Contract hours: 2 hour 30 minutes
Workload	Workload per semester (16 weeks) Lecture: 35 hoursMidterm and Final Exam: 5 hoursStructure and Self Study: 63 hoursTotal Workload: 103 hours
Credit points	3.43 ECTS
Admission and examination requirements	Enrolled in this course and minimum 80% attendance in lecture
Recommended prerequisites	–
Media employed	Board, LCD Projector, Laptop/Computer, Google Classroom
Forms of assessment	Structured assignment Quiz: 40 %Midterm exam Written: 30 %Final exam Written: 30 %
Intended Learning Outcome
Understand the principles of instrumentation systems and their significance in various engineering and scientific applications.Develop proficiency in programming languages commonly used in instrumentation system programming using C language.Design and implement software for data acquisition, signal processing, and control in instrumentation systems.Select and configure appropriate sensors and transducers for specific measurement and control tasks.Apply knowledge of communication protocols and interfaces commonly used in instrumentation systems, such as GPIB, USB, and Ethernet.Stay current with emerging technologies and trends in instrumentation system programming through continuous learning and research.Communicate technical concepts and solutions related to instrumentation system programming effectively, both orally and in written form.
Module content
Lecture (Class Work) Basic Structure of the C Programming LanguageVarious Operators in the C Programming LanguageConcept and Application of Branching in the C Programming LanguageLooping in the C Programming LanguageConcept and Application of Arrays in the C Programming LanguageConcept and Application of Functions in the C Programming LanguageDigital Based AVR Device ProgrammingBit Twiddling ProgrammingSerial I/O ProgrammingAnalog to Digital Conversion ProgrammingProgramming on Time/Counter DevicesPulse-Width Modulation ProgrammingProgramming on Servo Motors
Recommended Literatures Husman, C. (2024). Embedded Rust Programming: A Practical Guide to Unleash the Power of Rust for Resource-Constrained Devices. Packt Publishing. Takehiko, N. (2024). Learn Embedded System with STM32: Building an RTOS Programming for Embedded Systems. Independently Published. Kakoty, N., Goswami, R., & Vinjamuri, R. (2025). Introduction to Embedded Systems and Robotics: A Practical Guide. CRC Press. White, E. (2024). Making Embedded Systems (2nd ed.). O’Reilly Media. Marwedel, P. (2021). Embedded System Design: Embedded Systems Foundations of Cyber-Physical Systems, and the Internet of Things. Springer.

FST 6097222 Advanced Instrumentation Programming

Module Name	Advanced Instrumentation Programming
Module level, if applicable	Undergraduate
Module Identification Code	FST 6097222
Semester(s) in which the module is taught	7th
Person(s) responsible for the module	Dewi Lestari
Language	Bahasa Indonesia
Relation in Curriculum	Instrumentation elective course for undergraduate program in Physics
Teaching methods, Contact hours	Lecture (Collaborative Learning and Project Based Learning).Structured activities (Assignments Based on Group Presentation After Finishing The Project)Self Study (reading literature)Contract hours: 1 hour 40 minutes
Workload	Workload per semester (16 weeks) Lecture: 35 hoursMidterm and Final Exam: 5 hoursStructure and Self Study: 63 hoursTotal Workload: 103 hours
Credit points	2.29 ECTS
Admission and examination requirements	Enrolled in this course and minimum 80% attendance in lecture
Recommended prerequisites	–
Media employed	Board, LCD Projector, Laptop/Computer, Google Classroom
Forms of assessment	Structured assignment Group Presentation: 40 %Midterm exam Written: 30 %Final exam Written: 30 %
Intended Learning Outcome
Understand the principles of instrumentation systems and their significance in various engineering and scientific applications.Develop proficiency in programming languages commonly used in instrumentation system programming using C language.Design and implement software for data acquisition, signal processing, and control in instrumentation systems.Select and configure appropriate sensors and transducers for specific measurement and control tasks.Apply knowledge of communication protocols and interfaces commonly used in instrumentation systems, such as GPIB, USB, and Ethernet.Stay current with emerging technologies and trends in instrumentation system programming through continuous learning and research.Communicate technical concepts and solutions related to instrumentation system programming effectively, both orally and in written form.
Module content
Lecture (Class Work) Basic Structure of the C Programming LanguageVarious Operators in the C Programming LanguageConcept and Application of Branching in the C Programming LanguageLooping in the C Programming LanguageConcept and Application of Arrays in the C Programming LanguageConcept and Application of Functions in the C Programming LanguageDigital Based AVR Device ProgrammingBit Twiddling ProgrammingSerial I/O ProgrammingAnalog to Digital Conversion ProgrammingProgramming on Time/Counter DevicesPulse-Width Modulation ProgrammingProgramming on Servo Motors
Recommended Literatures Bolton, W. (2021). Instrumentation and Control Systems (3rd ed.). Newnes. Bhattacharya, S. (2020). Advancements in Instrumentation and Control in Applied System Applications. IGI Global. Barrett, S. F. (2025). Arduino VII: Industrial Control. Synthesis Lectures on Digital Circuits & Systems. (Proseeding) Editor(s). (2022). Control, Instrumentation and Mechatronics: Theory and Practice. Lecture Notes in Electrical Engineering, Vol. 921. Springer. George, V. I., & Roy, B. K. (2019). Advances in Control Instrumentation Systems: Selected Proceedings of CISCON 2019. Springer.

FST 6097223 Digital Signal Processing

Module Name	Digital Signal Processing
Module level, if applicable	Undergraduate
Module Identification Code	FST 6097223
Semester(s) in which the module is taught	7th
Person(s) responsible for the module	Praditiyo Riyadi
Language	Bahasa Indonesia
Relation in Curriculum	Instrumentation elective course for undergraduate program in Physics
Teaching methods, Contact hours	Lecture (Contextual Instruction and Project Base Learning Method).Structured activities (Assignments based on quiz, and the project that was created)Self Study (reading literature)Contract hours: 2 hour 30 minutes
Workload	Workload per semester (16 weeks) Lecture: 35 hoursMidterm and Final Exam: 5 hoursStructure and Self Study: 63 hoursTotal Workload: 103 hours
Credit points	3.43 ECTS
Admission and examination requirements	Enrolled in this course and minimum 80% attendance in lecture
Recommended prerequisites	–
Media employed	Board, LCD Projector, Laptop/Computer, Google Classroom
Forms of assessment	Structured assignment Quiz: 40 %Midterm exam Written: 30 %Final exam Written: 30 %
Intended Learning Outcome
Understand the fundamental principles and concepts of digital signal processing, including sampling, quantization, and the discrete Fourier transform.Demonstrate proficiency in using DSP software tools and programming languages using Python for analyzing and processing digital signals.Design and implement digital filters to manipulate signals for various applications, including noise reduction, signal enhancement, and modulation/demodulation.Analyze and interpret frequency and time-domain representations of digital signals and apply appropriate techniques for signal transformation and filtering.Develop algorithms for advanced DSP operations, including spectral analysis, convolution, and adaptive filtering.Apply knowledge of DSP to real-world applications, such as audio processing, image processing, and communications systems.Evaluate the performance of DSP algorithms and systems in terms of accuracy, efficiency, and computational complexity.Collaborate effectively in teams to solve complex DSP problems and work on practical DSP projects.
Understand the ethical and legal considerations related to the use of digital signal processing in various fields.Stay updated with emerging trends and technologies in digital signal processing through continuous learning and research.Communicate technical concepts, results, and solutions related to digital signal processing effectively, both in written reports and oral presentations.Apply critical thinking and problem-solving skills to address challenges and innovate in the field of digital signal processing.
Module content
Lecture (Class Work) Introduction to Digital Signal ProcessingDiscrete Fourier Transform (DFT)Time-Domain AnalysisDigital FiltersFrequency Domain AnalysisMultirate Signal ProcessingAdaptive Filtering
Recommended Literatures Mitra, S. K. (2018). Digital signal processing: A computer-based approach (4th ed.). McGraw-Hill Education. Proakis, J. G., & Manolakis, D. G. (2019). Digital signal processing: Principles, algorithms, and applications (5th ed.). Pearson. Proakis, J. G., & Ingle, V. K. (2016). Digital signal processing: Principles, algorithms, and applications (4th ed.). Pearson. Ifeachor, E. C., & Jervis, B. W. (2017). Digital signal processing: A practical approach (2nd ed.). Pearson. Vaidyanathan, P. P. (2015). Multirate systems and filter banks. Pearson. Lyons, R. G. (2015). Understanding digital signal processing (3rd ed.). Pearson. Smith, S. W. (2019). The scientist and engineer’s guide to digital signal processing (2nd ed.). California Technical Publishing. Harris, F. J. (2018). Multirate signal processing for communication systems. Pearson. Lyons, R. G. (2020). Digital signal processing in MATLAB (2nd ed.). Pearson

FST 6097224 Medical Physics Instrumentation

Module Name	Medical Physics Instrumentation
Module level, if applicable	Undergraduate
Module Identification Code	FST 6097224
Semester(s) in which the module is taught	7th
Person(s) responsible for the module	Ambran Hartono
Language	Bahasa Indonesia
Relation in Curriculum	Instrumentation elective course for undergraduate program in Physics
Teaching methods, Contact hours	Lecture (conceptual, contextual and problem-solving approaches through expository, discussions and exercises).Structured activities (assignments based on conceptual, contextual and problem- solving approaches)Self Study (reading literature)Contract hours: 1 hour 40 minutes
Workload	Workload per semester (16 weeks) Lecture: 35 hoursMidterm and Final Exam: 5 hoursStructure and Self Study: 63 hoursTotal Workload: 103 hours
Credit points	2.29 ECTS
Admission and examination requirements	Enrolled in this course and minimum 80% attendance in lecture
Recommended prerequisites	–
Media employed	Board, LCD Projector, Laptop/Computer, Google Classroom
Forms of assessment	Structured assignment Quiz: 40 %Midterm exam Written: 30 %Final exam Written: 30 %
Intended Learning Outcome
Understand the fundamental principles and concepts of medical physics, including radiation physics, radiological imaging, and radiation therapy.Gain a deep understanding of advanced medical instrumentation, including medical imaging devices, accelerators, and radiation detectors.Learn to design, operate, and maintain medical instruments and devices used in healthcare settings.Understand the principles of radiation safety and the regulations governing the use of radiation in medical applications.Acquire skills in measuring and calculating radiation doses, as well as the principles of radiation dosimetry in therapy and diagnostics.Study various medical imaging techniques, including X-ray, CT, MRI, ultrasound, and nuclear medicine, and understand their underlying physics and applications.Learn about radiation therapy treatment planning and delivery systems, including linear accelerators and brachytherapy equipment.
Understand the principles of radiation protection and shielding for patients, healthcare workers, and the public.Develop skills in quality assurance and quality control of medical instrumentation to ensure patient safety and accurate diagnosis and treatment.Learn techniques for accurate patient positioning and immobilization during medical procedures.Gain proficiency in analyzing and interpreting medical images, including image reconstruction and segmentation.Explore advanced research methods and techniques in medical physics, including experimental design, data analysis, and scientific writing.Understand the ethical and legal considerations in the use of medical physics instrumentation, including patient consent, privacy, and professional ethics.Collaborate with healthcare professionals, physicists, and engineers to contribute to the development and improvement of medical instrumentation.Develop an understanding of the importance of patient-centered care and the impact of medical physics on patient outcomes.Cultivate a commitment to continuous learning and staying current with advancements in medical physics instrumentation.Communicate effectively with patients, healthcare teams, and interdisciplinary groups, conveying complex technical information in a clear and understandable manner.
Module content
Lecture (Class Work) Introduction to Medical Physics and InstrumentationRadiation Physics and Radiological ImagingMagnetic Resonance Imaging (MRI)Ultrasound ImagingNuclear Medicine and Positron Emission Tomography (PET)Radiation Therapy and Linear AcceleratorsBrachytherapy and Particle TherapyRadiation Detection and DosimetryRadiological Safety and Regulatory ComplianceQuality Assurance and Quality ControlImage Analysis and Medical Image ProcessingAdvanced Research in Medical PhysicsEthical and Legal Considerations in Medical Physics
Recommended Literatures Webster, J.G. & Nimunkar, A.J., 2020. Medical Instrumentation: Application and Design (5th ed.). John Wiley & Sons. Samei, E. & Peck, D.J., 2019. Hendee’s Physics of Medical Imaging (5th ed.). John Wiley & Sons. Bushberg, J.T.; Seibert, J.A.; Leidholdt, E.M.; Boone, J.M., 2019/2020. The Essential Physics of Medical Imaging (4th ed.). Lippincott Williams & Wilkins. Sensakovic, W.F. (dgn Huda, W.), 2023. Review of Radiologic Physics (5th ed.). Wolters Kluwer (LWW). Huda, W., 2016. Review of Radiologic Physics (4th ed.). Lippincott Williams & Wilkins. Cherry, S.R.; Sorenson, J.A.; Phelps, M.E., 2022. Physics in Nuclear Medicine (5th ed.). Elsevier. Powsner, R.A.; Powsner, E.R.; Fahey, F.H., 2022. Essentials of Nuclear Medicine Physics, Instrumentation, and Radiation Biology (4th ed.). Wiley-Blackwel

FST 6097225 Distributed Measurement System

Module Name	Distributed Measurement System
Module level, if applicable	Undergraduate
Module Identification Code	FST 6097225
Semester(s) in which the module is taught	7th
Person(s) responsible for the module	Dewi Lestari
Language	Bahasa Indonesia
Relation in Curriculum	Instrumentation elective course for undergraduate program in Physics
Teaching methods, Contact hours	Lecture (conceptual, contextual and problem-solving approaches through expository, discussions and exercises).Structured activities (assignments based on conceptual, contextual and problem- solving approaches)Self Study (reading literature)Contract hours: 2 hour 30 minutes
Workload	Workload per semester (16 weeks) Lecture: 35 hoursMidterm and Final Exam: 5 hoursStructure and Self Study: 63 hoursTotal Workload: 103 hours
Credit points	3.43 ECTS
Admission and examination requirements	Enrolled in this course and minimum 80% attendance in lecture
Recommended prerequisites	–
Media employed	Board, LCD Projector, Laptop/Computer, Google Classroom
Forms of assessment	Structured assignment Quiz: 40 %Midterm exam Written: 30 %Final exam Written: 30 %
Intended Learning Outcome
Gain a deep understanding of the foundational concepts and principles of the Internet of Things, including its historical development and significance in the modern world.Comprehend the components of the IoT ecosystem, including sensors, actuators, communication protocols, data analytics, and cloud computing.Learn various communication protocols used in IoT, such as MQTT, CoAP, HTTP, and understand the principles of data transmission and networking.Develop skills in integrating sensors and data acquisition devices into IoT systems, including understanding sensor specifications and interfacing.Learn how to process, analyze, and extract meaningful insights from IoT data using data analytics techniques and tools.Understand the security challenges in IoT and learn about encryption, authentication, and other security mechanisms to protect IoT devices and data.Gain proficiency in programming IoT devices, microcontrollers, and single-board computers (e.g., Arduino, Raspberry Pi) for data collection and control.

Explore how IoT data is sent to and processed in cloud platforms, and gain practical experience in cloud integration.Learn to develop IoT applications and services for various domains, such as home automation, healthcare, industrial automation, and smart cities.Understand the concept of edge computing in IoT, including processing data closer to the data source for reduced latency and improved efficiency.Develop project management skills for planning and executing IoT projects, including defining project scope, milestones, and resource allocation.Explore interoperability challenges and the role of standards in the IoT landscape.Understand the ethical and legal considerations in IoT, including privacy, data protection, and regulatory compliance.Examine the role of IoT in Industry 4.0, including smart manufacturing, supply chain optimization, and predictive maintenance.Learn about the application of IoT in environmental monitoring, sustainability, and smart agriculture.Explore the use of IoT in healthcare, including telemedicine, remote patient monitoring, and medical device integration.Engage in research projects and critical analysis of IoT technologies, trends, and challenges.Develop the ability to communicate effectively about IoT concepts, solutions, and projects to diverse stakeholders.

Module content

Lecture (Class Work) Introduction to the Internet of ThingsIoT Ecosystem and ComponentsSensors and Data AcquisitionCommunication Protocols in IoTData Processing and AnalyticsIoT SecurityIoT Device ProgrammingCloud Integration in IoTIoT Application DevelopmentEdge Computing in IoTProject Management in IoTInteroperability and StandardsEthical and Legal ConsiderationsIoT in Industry and ApplicationsIoT Research and Future Trends

Recommended Literatures Kranz, M. (2016). Building the Internet of Things: Implement New Business Models, Disrupt Competitors, Transform Your Industry. Wiley. Hanes, D., Salgueiro, G., & Grossetete, P. (2017). IoT Fundamentals: Networking Technologies, Protocols, and Use Cases for the Internet of Things. Cisco Press. Klein, S., Rangarajan, M., & Vroegop, D. (2017). IoT Solutions in Microsoft’s Azure IoT Suite: Data Acquisition and Analysis in the Real World. Apress. Bhattacharjee, S., & Wheeler, D. M. (2018). Practical Industrial Internet of Things Security. Apress. Bushberg, J. T., Seibert, J. A., Leidholdt, E. M., & Boone, J. M. (2018). The essential physics of medical imaging (4th ed.). Lippincott Williams & Wilkins. Hendee, W. R., & Ritenour, E. R. (2016). Medical imaging physics (4th ed.). Wiley-Blackwell. Podgorsak, E. B. (2016). Radiation physics for medical physicists (3rd ed.). Springer. Faulkner, K., & Sutton, D. (2015). Introduction to medical physics (2nd ed.). CRC Press.

FST 6097226 Robotic

Module Name	Robotic
Module level, if applicable	Undergraduate
Module Identification Code	FST 6097226
Semester(s) in which the module is taught	7th
Person(s) responsible for the module	Elvan Yuniarti
Language	Bahasa Indonesia
Relation in Curriculum	Instrumentation elective course for undergraduate program in Physics
Teaching methods, Contact hours	Lecture (Cooperative Learning and Project Based Learning Method).Structured activities (Assignments Based on Group Presentation After Finishing The Project)Self Study (Reading Literature)Contract hours: 1 hour 40 minutes
Workload	Workload per semester (16 weeks) Lecture: 35 hoursMidterm and Final Exam: 5 hoursStructure and Self Study: 63 hoursTotal Workload: 103 hours
Credit points	2.29 ECTS
Admission and examination requirements	Enrolled in this course and minimum 80% attendance in lecture
Recommended prerequisites	–
Media employed	Board, LCD Projector, Laptop/Computer, Google Classroom
Forms of assessment	Structured assignment Group Presentation: 40 %Midterm exam Written: 30 %Final exam Written: 30 %
Intended Learning Outcome
Understand the core principles and concepts of robotics, including kinematics, dynamics, sensors, and actuators.Demonstrate the ability to design and construct robotic systems, considering mechanical, electrical, and software components.Develop proficiency in programming languages and software platforms commonly used in robotics, such as ROS (Robot Operating System) or Python.Implement algorithms for precise control of robot movements, including forward and inverse kinematics.Integrate various sensors, such as cameras, LiDAR, and IMUs, into robot systems for perception and navigation.Design and implement algorithms for autonomous navigation, obstacle avoidance, and path planning.
Module content
Lecture (Class Work) The history of the first robots
Basic robotsBasic principles of mathematical modeling in robotsKinematic analysis of holonomic and non-holonomic systemsDynamic analysisBasics and mechanicsSensor and actuator systemsProgramming languageRobot assembly
Recommended Literatures Siciliano, B., & Khatib, O. (2016). Springer handbook of robotics (2nd ed.). Springer. Craig, J. J. (2018). Introduction to robotics: Mechanics and control (4th ed.). Pearson. Spong, M. W., Hutchinson, S., & Vidyasagar, M. (2020). Robot modeling and control (2nd ed.). Wiley. Bekey, G. A. (2015). Autonomous robots: From biological inspiration to implementation and control (2nd ed.). MIT Press. Thrun, S., Burgard, W., & Fox, D. (2018). Probabilistic robotics (2nd ed.). MIT Press. Niku, S. B. (2019). Introduction to robotics: Analysis, control, applications (3rd ed.). Wiley. Corke, P. (2017). Robotics, vision and control: Fundamental algorithms in MATLAB (3rd ed.). Springer. Koren, Y. (2015). Robotics for engineers (2nd ed.). McGraw-Hill Education. Groover, M. P. (2016). Industrial robotics: Technology, programming, and applications (3rd ed.). McGraw-Hill Education. Craig, J. J., & Khatib, O. (2021). Robotics: Foundations for intelligent systems (2nd ed.). Springer.

SPECIALIZATION ELECTIVE COURSES (GEOPHYSICS)

FST 6097201 Introduction to Geophysics

Module Name	Introduction to Geophysics
Module level, if applicable	Undergraduate
Module Identification Code	FST 6097201
Semester(s) in which the module is taught	5th
Person(s) responsible for the module	Tati Zera
Language	Bahasa Indonesia
Relation in Curriculum	Geophysics elective course for undergraduate program in Physics
Teaching methods, Contact hours	Lecture (conceptual, contextual and problem-solving approaches through expository, discussions and exercises).Structured activities (assignments based on conceptual, contextual and problem- solving approaches)Self Study (reading literature)Contract hours: 1 hour 40 minutes
Workload	Workload per semester (16 weeks) Lecture: 23 hoursMidterm and Final Exam: 3 hoursStructure and Self Study: 47 hoursTotal Workload: 73 hours
Credit points	2.76 ECTS
Admission and examination requirements	Enrolled in this course and minimum 80% attendance in lecture
Recommended prerequisites	–
Media employed	Board, LCD Projector, Laptop/Computer, Google Classroom
Forms of assessment	Structured assignment Quiz: 40 %Midterm exam Written: 30 %Final exam Written: 30 %
Intended Learning Outcome
Understand the fundamental principles and concepts of geophysics, including the study of Earth’s physical properties and processes.Demonstrate proficiency in geophysical measurement techniques and data analysis methods, including the use of geophysical instruments and software.Explore and apply a range of geophysical techniques such as seismic, gravity, magnetic, electrical, and electromagnetic methods.Develop the ability to interpret geophysical data and use it to make inferences about subsurface structures and Earth’s properties.Create clear and informative visual representations of geophysical data through maps, profiles, and graphs.
Gain hands-on experience with fieldwork in geophysics, including data collection, survey design, and field safety protocols.Understand the applications of geophysics in environmental studies, resource exploration, and hazard assessment.Apply geophysical methods to solve real-world problems related to groundwater exploration, mineral prospecting, and geological investigations.Combine geophysical data with geological and geospatial information to provide a comprehensive understanding of subsurface conditions.Recognize and adhere to ethical standards in geophysics, including responsible data handling and environmental impact awareness.Communicate geophysical findings effectively through written reports, oral presentations, and graphical representations.Apply critical thinking skills to evaluate the reliability and limitations of geophysical results.Collaborate with professionals from various disciplines to address complex geophysical challenges and projects.Stay current with emerging trends and technologies in geophysics through continuous learning and research.Promote responsible and sustainable practices in geophysical investigations to minimize ecological impact.
Module content
Lecture (Class Work) Introduction to GeophysicsEarth as a PlanetPhysical characteristics of the earthContinental Drift TheoryEarth Age, GeochronologyHeat, The Flow and ConvectionGravity, the Figure of the EarthSeismology, Measuring the InteriorThermal and Geoelecrtical propertiesGeomagnetism and PaleomagnetismField Survey of Geophysics
Recommended Literatures Kearey, P., Brooks, M., & Hill, I. (2019). An introduction to geophysics (4th ed.). Wiley-Blackwell. Lowrie, W. (2017). Fundamentals of geophysics (3rd ed.). Cambridge University Press. Fowler, C. M. R. (2016). The solid earth: An introduction to global geophysics (2nd ed.). Cambridge University Press. Telford, W. M., Geldart, L. P., & Sheriff, R. E. (2015). Applied geophysics (2nd ed.). Cambridge University Press. Kearey, P., & Brooks, M. (2021). An introduction to geophysics: Updated edition (5th ed.). Wiley-Blackwell. Dobrin, M. B., & Savit, C. H. (2018). Introduction to geophysical prospecting (4th ed.). McGraw-Hill Education. Sheriff, R. E., & Geldart, L. P. (2020). Exploration seismology (3rd ed.). Cambridge University Press. Stein, S., & Wysession, M. (2016). An introduction to seismology, earthquakes, and earth structure (2nd ed.). Wiley-Blackwell. Kearey, P., Brooks, M., & Hill, I. (2015). Geophysical methods in exploration (3rd ed.). Wiley-Blackwell. Fowler, C. M. R. (2022). The solid earth: Principles of geophysics (3rd ed.). Cambridge University Press.

FST 6098101 Basic Geology

Module Name	Basic Geology
Module level, if applicable	Undergraduate
Module Identification Code	FST 6098101
Semester(s) in which the module is taught	5th
Person(s) responsible for the module	Tati Zera
Language	Bahasa Indonesia
Relation in Curriculum	Geophysics elective course for undergraduate program in Physics
Teaching methods, Contact hours	Lecture (conceptual, contextual and problem-solving approaches through expository, discussions and exercises).Structured activities (assignments based on conceptual, contextual and problem- solving approaches)Self Study (reading literature)Contract hours: 1 hour 40 minutes
Workload	Workload per semester (16 weeks) Lecture: 23 hoursMidterm and Final Exam: 3 hoursStructure and Self Study: 47 hoursTotal Workload: 73 hours
Credit points	2.76 ECTS
Admission and examination requirements	Enrolled in this course and minimum 80% attendance in lecture
Recommended prerequisites	–
Media employed	Board, LCD Projector, Laptop/Computer, Google Classroom
Forms of assessment	Structured assignment Quiz: 40 %Midterm exam Written: 30 %Final exam Written: 30 %
Intended Learning Outcome
Students should be able to demonstrate a comprehensive understanding of the fundamental geological processes that shape the Earth’s surface, including plate tectonics, erosion, sedimentation, and volcanic activity.Students should be able to identify common rocks and minerals, both in hand specimen and under a microscope, and understand their properties and origins.Students should be able to interpret the geological history of the Earth, including the principles of relative and absolute dating, and construct basic geological timelines.Students should be able to explain the theory of plate tectonics and its role in shaping Earth’s continents, oceans, and geological features.Students should be able to assess and understand natural hazards such as earthquakes, volcanoes, landslides, and their associated risks to human populations and infrastructure.
Students should be proficient in reading geological maps and conducting basic geological fieldwork, including identifying rock outcrops, interpreting stratigraphy, and recognizing geological structures.Students should be able to apply geological knowledge to understand and address environmental issues such as groundwater contamination, soil erosion, and resource management.Students should develop critical thinking skills to analyze geological data, draw conclusions, and solve geological problems.Students should be able to effectively communicate geological concepts and findings through written reports, oral presentations, and graphical representations.Students should understand the importance of ethical conduct in geology, including responsible resource extraction and environmental conservation.Students should recognize the interdisciplinary nature of geology and its connections to other scientific fields, such as chemistry, physics, biology, and environmental science.
Module content
Lecture (Class Work) Introduction to GeologyTheory of the Formation of the UniverseGeoconceptPlate TectonicsMineralsRocksGeochronologyLakes and RiversEarthquakesVolcanismSurface processesClimate Changes
Recommended Literatures Press, F., Siever, R., Grotzinger, J., & Jordan, T. (2016). Understanding Earth (7th ed.). W. H. Freeman. Marshak, S. (2015). Earth: Portrait of a planet (5th ed.). W. W. Norton & Company. Tarbuck, E. J., Lutgens, F. K., & Tasa, D. (2018). Earth: An introduction to physical geology (12th ed.). Pearson. Monroe, J. S., & Wicander, R. (2017). The changing Earth: Exploring geology and evolution (4th ed.). Cengage Learning. Skinner, B. J., Porter, S. C., & Park, J. (2015). The dynamic Earth: An introduction to physical geology (8th ed.). Wiley. Prothero, D. R., & Schwab, F. (2019). Sedimentary geology: An introduction to sedimentary rocks and stratigraphy (3rd ed.). W. H. Freeman. Montgomery, C. W. (2016). Introduction to mineralogy and petrology (2nd ed.). McGraw-Hill Education. Klein, C., & Philpotts, A. (2017). Earth materials: Introduction to mineralogy and petrology (3rd ed.). Cambridge University Press. Compton, R. R. (2018). Geology in the field (5th ed.). Wiley. Lutgens, F. K., & Tarbuck, E. J. (2021). Essentials of geology (14th ed.). Pearson.

FST 6098102 Basic Geology Field Work

Module Name	Basic Geology Field Work
Module level, if applicable	Undergraduate
Module Identification Code	FST 6098102
Semester(s) in which the module is taught	5th
Person(s) responsible for the module	Tati Zera
Language	Bahasa Indonesia
Relation in Curriculum	Geophysics elective course for undergraduate program in Physics
Teaching methods, Contact hours	Field workGroup discussionContract hours: 2 hour 30 minutes
Workload	Workload per semester (16 weeks) Field Work: 23 hoursMidterm and Final Exam: 3 hoursStructure and Self Study: 47 hoursTotal Workload: 73 hours
Credit points	1.17 ECTS
Admission and examination requirements	Enrolled in this course and minimum 80% attendance in lecture
Recommended prerequisites	–
Media employed	Board, LCD Projector, and Laboratory work equipment (List in Field Work Guide for Basic Geology)
Forms of assessment	Structured assignment Laboratory work report: 60 %Midterm exam Written: 20 %Final exam Written: 20 %
Intended Learning Outcome
Develop the ability to make detailed observations of geological features, rock formations, and landforms in natural field settings.Learn how to create geological maps and cross-sections using field data, including the identification of rock types, structures, and stratigraphy.Gain proficiency in identifying common rocks, minerals, and fossils found in the field.Understand the principles of stratigraphy and sedimentology, and apply them to interpret the geological history of an area.Learn to recognize and analyze geological structures, including faults, folds, and joints, and interpret their significance.Acquire the skills to read and interpret topographic maps and use them to navigate in the field.Learn various field data collection techniques, including measuring strike and dip, taking field notes, and using geological tools and instruments.Gain insight into the processes responsible for landform development, such as erosion, deposition, weathering, and tectonics.
Understand the application of geology in addressing environmental issues, such as groundwater contamination and slope stability.Develop a sense of geological time and the ability to construct relative and absolute timelines for geological events.Comprehend safety protocols and practices in the field, including hazard identification and risk assessment.Collaborate with peers and professionals from related fields, such as geography, environmental science, and engineering, to address geological questions.Develop problem-solving skills and critical thinking abilities to interpret geological data and make informed conclusions.Learn to prepare geological reports based on fieldwork, complete with detailed descriptions, maps, and interpretations.Understand ethical considerations related to fieldwork, including respecting land access, preserving natural environments, and adhering to professional ethics.Gain insights into career opportunities and pathways for further education in geology and related fields.
Module content
Lecture: Regulation and Field Work Safety InductionEquipment introductionData Acquisition Field work activities: Introduction to Geology Field WorkGeological Maps and Compass UseRock and Mineral IdentificationTopographic Maps and Field NavigationField Observation and DescriptionStratigraphic AnalysisStructural GeologyGeological Processes and LandformsFossil Identification and PaleontologyEnvironmental GeologyGeological Time and HistoryGeological Field MappingInterdisciplinary Field WorkGeological Report Writing
Recommended Literatures Field Work Guide for Basic Geology. Compton, R. R. (2018). Geology in the field (5th ed.). Wiley. Montgomery, C. W. (2017). Introduction to field methods in geology (2nd ed.). McGraw-Hill Education. Neuendorf, K. K. E., Mehl, J. P., & Jackson, J. A. (2019). Glossary of geology (5th ed.). American Geological Institute. Reynolds, S. J. (2016). Field geology illustrated (2nd ed.). Wiley-Blackwell. Krynine, P. D., & Judson, S. (2015). Principles of field geology (3rd ed.). McGraw-Hill. Mandl, G. (2017). Introduction to structural geology: Fieldwork and laboratory manual (2nd ed.). Springer. Fichter, L. S. (2018). Practical geology: Field and laboratory exercises (3rd ed.). Waveland Press. Nichols, G. (2020). Sedimentology and stratigraphy: Field techniques (2nd ed.). Wiley-Blackwell. Blatt, H., Middleton, G., & Murray, R. (2016). Origin of sedimentary rocks: Field guide and exercises (2nd ed.). Prentice Hall. Lutgens, F. K., & Tarbuck, E. J. (2021). Essentials of geology: Field work exercises (14th ed.). Pearson.

FST 6097202 Introduction to Potential Methods

Module Name	Introduction to Potential Methods
Module level, if applicable	Undergraduate
Module Identification Code	FST 6097202
Semester(s) in which the module is taught	5th
Person(s) responsible for the module	Suwondo
Language	Bahasa Indonesia
Relation in Curriculum	Geophysics elective course for undergraduate program in Physics
Teaching methods, Contact hours	Lecture (conceptual, contextual and problem-solving approaches through expository, discussions and exercises).Structured activities (assignments based on conceptual, contextual and problem- solving approaches)Self Study (reading literature)Contract hours: 1 hour 40 minutes
Workload	Workload per semester (16 weeks) Lecture: 23 hoursMidterm and Final Exam: 3 hoursStructure and Self Study: 47 hoursTotal Workload: 73 hours
Credit points	4.13 ECTS
Admission and examination requirements	Enrolled in this course and minimum 80% attendance in lecture
Recommended prerequisites	–
Media employed	Board, LCD Projector, Laptop/Computer, Google Classroom
Forms of assessment	Structured assignment Quiz: 40 %Midterm exam Written: 30 %Final exam Written: 30 %
Intended Learning Outcome
Students should understand the fundamental principles of gravity and magnetic methods in geophysics, including how these methods are used to study subsurface geological structures.Students should be able to plan, acquire, and process gravity and magnetic data using appropriate instruments and software, ensuring data quality and accuracy.Students should be proficient in interpreting gravity and magnetic data to identify subsurface features, such as geological boundaries, fault systems, and mineral deposits.Students should be capable of applying mathematical and physical models to analyze and interpret gravity and magnetic data, including the calculation of anomalies and the estimation of subsurface properties.Students should be familiar with the instrumentation and equipment used in gravity and magnetic surveys, including magnetometers, gravimeters, and data loggers.
Students should be able to design and execute gravity and magnetic surveys in the field, considering factors like survey geometry, station spacing, and data quality control.Students should understand how gravity and magnetic methods are applied to various geological and geophysical problems, such as mineral exploration, oil and gas exploration, and environmental studies.Students should be able to integrate gravity and magnetic data with other geophysical data (e.g., seismic, electrical, and electromagnetic) to develop a comprehensive geological model of the subsurface.Students should be proficient in using geospatial software and visualization tools to present and analyze gravity and magnetic data effectively.Students should be aware of safety protocols and ethical considerations associated with conducting geophysical surveys and working in sensitive environmental or cultural areas.Students should be able to communicate their findings and interpretations of gravity and magnetic data through reports, presentations, and visual aids.Students should develop problem-solving skills to address challenges and anomalies encountered during gravity and magnetic data collection and analysis.
Module content
Lecture (Class Work) Introduction to potential methodIntroduction of Gravity methodGravity measurement theoryGravity correctionInterpretation Gravity methodCase studies of the gravity methodGeomagnetic method conceptGeomagnetic interpretationCase studies of the geomagnetic methodMagnetotelluric method conceptInterpretation of the magnetotelluric method
Recommended Literatures Blakely, R. J. (2016). Potential theory in gravity and magnetic applications (2nd ed.). Cambridge University Press. Telford, W. M., Geldart, L. P., & Sheriff, R. E. (2015). Applied geophysics (2nd ed.). Cambridge University Press. Kearey, P., Brooks, M., & Hill, I. (2019). An introduction to geophysics (4th ed.). Wiley-Blackwell. Nabighian, M. N., & Hansen, R. O. (2017). Electromagnetic methods in applied geophysics (2nd ed.). Society of Exploration Geophysicists. Lowrie, W. (2017). Fundamentals of geophysics (3rd ed.). Cambridge University Press. Reynolds, J. M. (2016). An introduction to applied and environmental geophysics (2nd ed.). Wiley. Kearey, P., & Brooks, M. (2021). An introduction to geophysical methods (5th ed.). Wiley-Blackwell. Grant, F. S., & West, G. F. (2018). Interpretation theory in applied geophysics (2nd ed.). McGraw-Hill. Dobrin, M. B., & Savit, C. H. (2015). Introduction to geophysical prospecting (4th ed.). McGraw-Hill Education. Blakely, R. J., & Simpson, R. W. (2020). Potential theory in geophysics: Applications to gravity and magnetics (3rd ed.). Cambridge University Press.

FST 6097203 Introduction to Non-Potential Methods

Module Name	Introduction to Non-Potential Methods
Module level, if applicable	Undergraduate
Module Identification Code	FST 6097203
Semester(s) in which the module is taught	5th
Person(s) responsible for the module	Sutrisno and Praditiyo Riyadi
Language	Bahasa Indonesia
Relation in Curriculum	Geophysics elective course for undergraduate program in Physics
Teaching methods, Contact hours	Lecture (Contextual Instruction and Problem Based Learning Method).Structured activities (Assignments based on Quiz and Group Discussion)Self Study (reading literature)Contract hours: 1 hour 40 minutes
Workload	Workload per semester (16 weeks) Lecture: 23 hoursMidterm and Final Exam: 3 hoursStructure and Self Study: 47 hoursTotal Workload: 73 hours
Credit points	2.76 ECTS
Admission and examination requirements	Enrolled in this course and minimum 80% attendance in lecture
Recommended prerequisites	–
Media employed	Board, LCD Projector, Laptop/Computer, Google Classroom
Forms of assessment	Structured assignment Quiz: 40 % Midterm exam Written: 30 % Final exam Written: 30 %
Intended Learning Outcome
Students should be able to explain the fundamental principles of seismic exploration, including wave propagation, reflection, refraction, and the interaction of seismic waves with subsurface structures.Students should be proficient in designing seismic surveys, selecting appropriate acquisition equipment, and planning survey layouts for data collection.Students should be able to process raw seismic data, including filtering, deconvolution, and migration, to enhance the quality and interpretability of seismic images.Students should be capable of interpreting seismic data to identify subsurface features such as geological layers, faults, and hydrocarbon reservoirs, and develop accurate subsurface models.Students should understand various seismic imaging techniques, such as time migration and depth migration, and be able to apply them to create accurate subsurface images.
Students should be able to perform seismic inversion to estimate rock properties (e.g., density, velocity) from seismic data, aiding in reservoir characterization and resource assessment.Students should be able to assess seismic hazards by analyzing seismic data and understanding their implications for civil engineering and infrastructure projects.Students should be capable of integrating seismic data with other geophysical and geological data sources to create comprehensive subsurface models.Students should be aware of ethical practices in seismic exploration, including environmental and cultural sensitivity, as well as safety protocols during fieldwork and data acquisition.Students should be able to communicate their findings and interpretations effectively through written reports, oral presentations, and graphical representations.Students should develop critical thinking and problem-solving skills to address challenges encountered during seismic data acquisition, processing, and interpretation.Students should stay informed about the latest advancements and technologies in the field of seismic exploration, including the use of artificial intelligence and machine learning.
Module content
Lecture (Class Work) Introduction to Seismic ExplorationSeismic Data AcquisitionSeismic Data ProcessingSeismic InterpretationSeismic AttributesSpecialized ApplicationsEmerging Technologies and Trends
Recommended Literatures Reynolds, J. M. (2016). An introduction to applied and environmental geophysics (2nd ed.). Wiley. Telford, W. M., Geldart, L. P., & Sheriff, R. E. (2015). Applied geophysics (2nd ed.). Cambridge University Press. Kearey, P., Brooks, M., & Hill, I. (2019). An introduction to geophysics (4th ed.). Wiley-Blackwell. Nabighian, M. N., & Hansen, R. O. (2017). Electromagnetic methods in applied geophysics (2nd ed.). Society of Exploration Geophysicists. Reynolds, J. M., & Reeves, D. M. (2018). Non-potential geophysical methods (2nd ed.). Wiley. Lowrie, W. (2017). Fundamentals of geophysics (3rd ed.). Cambridge University Press. Kearey, P., & Brooks, M. (2021). An introduction to geophysical methods (5th ed.). Wiley-Blackwell. Ward, S. H., & Hohmann, G. W. (2016). Electromagnetic theory for geophysical applications (2nd ed.). Society of Exploration Geophysicists. Dobrin, M. B., & Savit, C. H. (2015). Introduction to geophysical prospecting (4th ed.). McGraw-Hill Education. Sharma, P. V. (2020). Environmental and engineering geophysics (2nd ed.). Cambridge University Press.

FST 6097204 Geophysical Methods Field Work

Module Name	Geophysical Methods Field Work
Module level, if applicable	Undergraduate
Module Identification Code	FST 6097204
Semester(s) in which the module is taught	5th
Person(s) responsible for the module	Muhammad Nafian
Language	Bahasa Indonesia
Relation in Curriculum	Geophysics elective course for undergraduate program in Physics
Teaching methods, Contact hours	Field WorkGroup discussionContract hours: 2 hour 30 minutes
Workload	Workload per semester (16 weeks) Field Work: 23 hoursMidterm and Final Exam: 3 hoursStructure and Self Study: 47 hoursTotal Workload: 73 hours
Credit points	2.33 ECTS
Admission and examination requirements	Enrolled in this course and minimum 80% attendance in lecture
Recommended prerequisites	–
Media employed	Board, LCD Projector, and Field work equipment (List in Field Work Guide for Geophysical Methods)
Forms of assessment	Structured assignment Laboratory work report: 60 %Midterm exam Written: 20 %Final exam Written: 20 %
Intended Learning Outcome
Understand the fundamental principles of geoelectrical methods, including electrical resistivity, conductivity, and the relationship between subsurface properties and electrical measurements.Gain proficiency in using geoelectrical survey equipment, such as resistivity meters, electrodes, and cables.Comprehend safety protocols and practices specific to geoelectrical field work, including electrical hazards and precautions.Develop skills in planning geoelectrical surveys, including site selection, electrode placement, and survey design.Learn how to collect geoelectrical data, ensuring proper instrument setup and data recording.Analyze geoelectrical data to infer subsurface properties and geological features.Interpret resistivity profiles and images, including 2D and 3D resistivity imaging methods.Integrate geoelectrical data with geological mapping and stratigraphic interpretation.Process and filter geoelectrical data to enhance signal quality and reduce noise.
Estimate the depth and lateral extent of subsurface features based on geoelectrical measurements.Apply geoelectrical methods to geological investigations, such as mineral exploration, groundwater assessment, and environmental studies.Utilize geoelectrical surveys for geotechnical investigations, including slope stability assessment and foundation design.Apply geoelectrical methods to environmental assessments, such as contaminant plume delineation and landfill studies.Use geoelectrical surveys to evaluate groundwater resources, subsurface water flow, and aquifer properties.Collaborate with professionals from geology, geophysics, and environmental science to address geoelectrical field work challenges.Create clear and comprehensive reports of geoelectrical surveys, including data interpretation and recommendations.Understand ethical considerations in geoelectrical field work, including respecting land access and ensuring the safety of team members and the public.Cultivate a commitment to staying current with advancements in geoelectrical methods and technologies.
Module content
Lecture: Regulation and Field Work Safety InductionEquipment introductionData AcquisitionData Processing Field work activities: Introduction to Geoelectrical MethodsElectrical Properties of Subsurface MaterialsGeoelectrical Equipment and InstrumentationField Safety and Environmental ConsiderationsSurvey Planning and Site SelectionElectrode Placement and Data AcquisitionData Processing and Quality ControlInterpreting Geoelectrical DataDepth Estimation and Lateral ExtentGeological and Geotechnical ApplicationsEnvironmental ApplicationsHydrogeological ApplicationsReport Writing and Documentation
Recommended Literatures Reynolds, J. M. (2016). An introduction to applied and environmental geophysics (2nd ed.). Wiley. Telford, W. M., Geldart, L. P., & Sheriff, R. E. (2015). Applied geophysics (2nd ed.). Cambridge University Press. Kearey, P., Brooks, M., & Hill, I. (2019). An introduction to geophysics (4th ed.). Wiley-Blackwell. Nabighian, M. N., & Hansen, R. O. (2017). Electromagnetic methods in applied geophysics (2nd ed.). Society of Exploration Geophysicists. Dobrin, M. B., & Savit, C. H. (2015). Introduction to geophysical prospecting (4th ed.). McGraw-Hill Education. Blakely, R. J. (2016). Potential theory in gravity and magnetic applications (2nd ed.). Cambridge University Press. Sharma, P. V. (2020). Environmental and engineering geophysics (2nd ed.). Cambridge University Press. Reynolds, J. M., & Reeves, D. M. (2018). Non-potential geophysical methods (2nd ed.). Wiley. Ward, S. H., & Hohmann, G. W. (2016). Electromagnetic theory for geophysical applications (2nd ed.). Society of Exploration Geophysicists. Telford, W. M., & Geldart, L. P. (2018). Field techniques in geophysics (3rd ed.). Cambridge University Press.

FST 6097205 Advanced Potential Methods

Module Name	Advanced Potential Methods
Module level, if applicable	Undergraduate
Module Identification Code	FST 6097205
Semester(s) in which the module is taught	6th
Person(s) responsible for the module	Tati Zera
Language	Bahasa Indonesia
Relation in Curriculum	Geophysics elective course for undergraduate program in Physics
Teaching methods, Contact hours	Lecture (conceptual, contextual and problem-solving approaches through expository, discussions and exercises).Structured activities (assignments based on conceptual, contextual and problem- solving approaches)Self Study (reading literature)Contract hours: 1 hour 40 minutes
Workload	Workload per semester (16 weeks) Lecture: 23 hoursMidterm and Final Exam: 3 hoursStructure and Self Study: 47 hoursTotal Workload: 73 hours
Credit points	3.20 ECTS
Admission and examination requirements	Enrolled in this course and minimum 80% attendance in lecture
Recommended prerequisites	–
Media employed	Board, LCD Projector, Laptop/Computer, Google Classroom
Forms of assessment	Structured assignment Quiz: 40 %Midterm exam Written: 30 %Final exam Written: 30 %
Intended Learning Outcome
Students are able to think logically, critically, systematically and innovatively in discussing Electromagnetic and Geo Penetrating Radar (GPR) methods based on scientific principles and are able to practice orally and in writing.
Module content
Lecture (Class Work) Electromagnet MethodContinuous Wave System (Two Coil Continue Wave)Pulse Transient (TEM) and Time Domain Electromagnetics (TDEM)Magnetotelluric, AMT and CSAMTVery Low Frequency (VLF)Magnetotelluric case studyVLF case studyRadio Wave Propagation
Geo Penetrating Radar (GPR) Data AcquisitionData Processing (GPR)Case Studies and Interpretations
Recommended Literatures Milsom, J. (2018). Field Geophysics. Wiley. Blakely, R. J. (2016). Potential theory in gravity and magnetic applications (2nd ed.). Cambridge University Press. Nabighian, M. N., & Hansen, R. O. (2017). Electromagnetic methods in applied geophysics (2nd ed.). Society of Exploration Geophysicists. Telford, W. M., Geldart, L. P., & Sheriff, R. E. (2015). Applied geophysics (2nd ed.). Cambridge University Press. Kearey, P., Brooks, M., & Hill, I. (2019). An introduction to geophysics (4th ed.). Wiley-Blackwell. Dobrin, M. B., & Savit, C. H. (2015). Introduction to geophysical prospecting (4th ed.). McGraw-Hill Education. Blakely, R. J., & Simpson, R. W. (2020). Potential theory in geophysics: Applications to gravity and magnetics (3rd ed.). Cambridge University Press. Grant, F. S., & West, G. F. (2018). Interpretation theory in applied geophysics (2nd ed.). McGraw-Hill. Kearey, P., & Brooks, M. (2021). An introduction to geophysical methods (5th ed.). Wiley-Blackwell. Lowrie, W. (2017). Fundamentals of geophysics (3rd ed.). Cambridge University Press. Sharma, P. V. (2020). Environmental and engineering geophysics (2nd ed.). Cambridge University Press.

FST 6097206 Advanced Non-Potential Methods

Module Name	Advanced Non-Potential Methods
Module level, if applicable	Undergraduate
Module Identification Code	FST 6097206
Semester(s) in which the module is taught	6th
Person(s) responsible for the module	Sutrisno and Praditiyo Riyadi
Language	Bahasa Indonesia
Relation in Curriculum	Geophysics elective course for undergraduate program in Physics
Teaching methods, Contact hours	Lecture (Contextual Instruction and Project Base Learning Method).Structured activities (Assignments based on quiz, and the project that was created)Self Study (reading literature)Contract hours: 1 hour 40 minutes
Workload	Workload per semester (16 weeks) Lecture: 23 hoursMidterm and Final Exam: 3 hoursStructure and Self Study: 47 hoursTotal Workload: 73 hours
Credit points	1.67 ECTS
Admission and examination requirements	Enrolled in this course and minimum 80% attendance in lecture
Recommended prerequisites	–
Media employed	Board, LCD Projector, Laptop/Computer, Google Classroom
Forms of assessment	Structured assignment Quiz: 40 %Midterm exam Written: 30 %Final exam Written: 30 %
Intended Learning Outcome
Students should be able to demonstrate a comprehensive understanding of the fundamental principles and concepts of geoelectrical methods, including resistivity, induced polarization, and self-potential.Students should be able to proficiently collect geoelectrical data in the field and subsequently analyze and interpret the data to characterize subsurface geological structures and hydrogeological properties.Students should be capable of operating geoelectrical instruments and equipment, and be able to troubleshoot common issues associated with data acquisition.Students should be able to integrate geoelectrical methods with other geophysical techniques (e.g., seismic, magnetic, or gravity) to address complex geological and environmental problems.Students should be able to apply geoelectrical methods to real-world geological and environmental challenges, such as groundwater exploration, mineral exploration, and environmental site assessment.
Students should possess the skills to interpret geoelectrical data to create geophysical models and subsurface maps, aiding in decision-making for various geoscientific and engineering applications.Students should understand and adhere to safety protocols associated with geoelectrical fieldwork, as well as adhere to ethical standards in data collection, reporting, and professional conduct.Students should be able to effectively communicate their findings through written reports, presentations, and graphical representations of geoelectrical data.Students should be equipped with the problem-solving skills and critical thinking necessary to adapt geoelectrical methods to diverse field conditions and geological settings.Students should be prepared to engage in further research or innovation related to geoelectrical methods and applications in geophysics.
Module content
Lecture (Class Work) Overview of geophysics and geoelectrical methodsElectrical properties of materials and fundamentals of electrical conductionDirect current (DC) resistivity principles and field instrumentationData acquisition, data processing, and interpretation in resistivity surveysInduced Polarization (IP)Introduction to induced polarization and its geological applicationsIP data acquisition, processing, and interpretation techniquesPrinciples of self-potential methods and electrokinetic phenomenaSP survey design, data processing, and interpretationElectrical imaging methods, including tomography and inversion techniquesCase studies and practical applications of advanced electrical imagingSafety protocols in geoelectrical fieldwork
Recommended Literatures Milsom, J. (2018). Field Geophysics. Wiley. Reynolds, J. M. (2016). An introduction to applied and environmental geophysics (2nd ed.). Wiley. Ward, S. H., & Hohmann, G. W. (2016). Electromagnetic theory for geophysical applications (2nd ed.). Society of Exploration Geophysicists. Nabighian, M. N., & Hansen, R. O. (2017). Electromagnetic methods in applied geophysics (2nd ed.). Society of Exploration Geophysicists. Telford, W. M., Geldart, L. P., & Sheriff, R. E. (2015). Applied geophysics (2nd ed.). Cambridge University Press. Kearey, P., Brooks, M., & Hill, I. (2019). An introduction to geophysics (4th ed.). Wiley-Blackwell. Reynolds, J. M., & Reeves, D. M. (2018). Non-potential geophysical methods (2nd ed.). Wiley. Sharma, P. V. (2020). Environmental and engineering geophysics (2nd ed.). Cambridge University Press. Dobrin, M. B., & Savit, C. H. (2015). Introduction to geophysical prospecting (4th ed.). McGraw-Hill Education. Kearey, P., & Brooks, M. (2021). An introduction to geophysical methods (5th ed.). Wiley-Blackwell. Reynolds, J. M. (2020). Advanced geophysical methods for environmental and engineering applications (2nd ed.). Wiley.

FST 6097207 Advanced Geophysical Methods Field Work

Module Name	Advanced Geophysical Methods Field Work
Module level, if applicable	Undergraduate
Module Identification Code	FST 6097207
Semester(s) in which the module is taught	6th
Person(s) responsible for the module	Muhammad Nafian
Language	Bahasa Indonesia
Relation in Curriculum	Geophysics elective course for undergraduate program in Physics
Teaching methods, Contact hours	Field WorkGroup discussionContract hours: 2 hour 30 minutes
Workload	Workload per semester (16 weeks) Field Work: 23 hoursMidterm and Final Exam: 3 hoursStructure and Self Study: 47 hoursTotal Workload: 73 hours
Credit points	2.33 ECTS
Admission and examination requirements	Enrolled in this course and minimum 80% attendance in lecture
Recommended prerequisites	–
Media employed	Board, LCD Projector, and Field work equipment (List in Field Work Guide for Advanced Geophysical Methods)
Forms of assessment	Structured assignment Laboratory work report: 60 %Midterm exam Written: 20 %Final exam Written: 20 %
Intended Learning Outcome
Understand the fundamental principles of gravity and magnetic methods in geophysics, including how variations in Earth’s gravitational and magnetic fields provide information about subsurface properties.Gain proficiency in using gravity meters, magnetometers, and associated equipment for field surveys.Comprehend safety protocols and practices specific to gravity and magnetic field work, including hazard identification and risk assessment.Develop skills in planning gravity and magnetic surveys, including site selection, survey line layout, and instrument calibration.Learn how to collect gravity and magnetic data accurately, ensuring proper instrument setup, data recording, and quality control.Understand data reduction techniques, including corrections for instrument drift, diurnal variations, and other potential sources of error.Process raw data in the field to check for outliers, normalize measurements, and identify trends or anomalies.
Analyze gravity and magnetic data to infer subsurface geological features, such as fault structures, mineral deposits, and rock density variations.Create magnetic anomaly maps to identify and interpret anomalies in the Earth’s magnetic field.Apply Bouguer and free-air corrections to gravity data to account for terrain effects.Estimate depths to subsurface features based on gravity and magnetic data, considering the geometry of geological structures.Apply gravity and magnetic methods for mineral exploration and resource assessment, including identifying ore bodies and geological structures.Use gravity and magnetic methods for environmental studies, such as assessing groundwater resources and investigating subsurface contaminants.Collaborate with professionals from related fields, including geology, geophysics, and environmental science, to address geophysical challenges.Create clear and comprehensive reports of gravity and magnetic surveys, including data interpretation, recommendations, and maps.Understand ethical considerations in geophysical field work, including respecting land access and ensuring the safety of team members and the public.Cultivate a commitment to staying current with advancements in gravity and magnetic survey methods and technologies.
Module content
Lecture: Regulation and Field Work Safety InductionEquipment introductionData AcquisitionData Processing Field work activities: Introduction to Gravity and Magnetic MethodsPrinciples of Gravity and Magnetic MethodsGeophysical Equipment and InstrumentationSafety and Environmental ConsiderationsSurvey Planning and DesignField Data AcquisitionData Reduction and CorrectionsField Data ProcessingData Interpretation and Anomaly IdentificationDepth Estimation and ModelingMineral Exploration and Resource AssessmentEnvironmental and Engineering ApplicationsReport Writing and Documentation
Recommended Literatures Field Work Guide for Advanced Geophysical Methods. Reynolds, J. M. (2016). An introduction to applied and environmental geophysics (2nd ed.). Wiley. Telford, W. M., Geldart, L. P., & Sheriff, R. E. (2015). Applied geophysics (2nd ed.). Cambridge University Press. Kearey, P., Brooks, M., & Hill, I. (2019). An introduction to geophysics (4th ed.). Wiley-Blackwell. Nabighian, M. N., & Hansen, R. O. (2017). Electromagnetic methods in applied geophysics (2nd ed.). Society of Exploration Geophysicists. Dobrin, M. B., & Savit, C. H. (2015). Introduction to geophysical prospecting (4th ed.). McGraw-Hill Education. Blakely, R. J. (2016). Potential theory in gravity and magnetic applications (2nd ed.). Cambridge University Press.

FST 6097208 Sedimentology and Stratigraphy

Module Name	Sedimentology and Stratigraphy
Module level, if applicable	Undergraduate
Module Identification Code	FST 6097208
Semester(s) in which the module is taught	6th
Person(s) responsible for the module	Suwondo
Language	Bahasa Indonesia
Relation in Curriculum	Geophysics elective course for undergraduate program in Physics
Teaching methods, Contact hours	Lecture (conceptual, contextual and problem-solving approaches through expository, discussions and exercises).Structured activities (assignments based on conceptual, contextual and problem- solving approaches)Self Study (reading literature)Contract hours: 1 hour 40 minutes
Workload	Workload per semester (16 weeks) Lecture: 23 hoursMidterm and Final Exam: 3 hoursStructure and Self Study: 47 hoursTotal Workload: 73 hours
Credit points	2.44 ECTS
Admission and examination requirements	Enrolled in this course and minimum 80% attendance in lecture
Recommended prerequisites	–
Media employed	Board, LCD Projector, Laptop/Computer, Google Classroom
Forms of assessment	Structured assignment Quiz: 40 %Midterm exam Written: 30 %Final exam Written: 30 %
Intended Learning Outcome
By the end of the course, students should have a comprehensive understanding of the principles, processes, and key concepts of sedimentology and stratigraphy.Students should be able to identify and classify various types of sedimentary rocks, including clastic, chemical, and organic, based on their characteristics and origins.Students should be able to recognize and interpret sedimentary structures and textures and understand their significance in reconstructing depositional environments.Students should be proficient in applying sequence stratigraphy concepts to analyze sedimentary successions, identify depositional sequences, and interpret sea-level fluctuations.Graduates of the course should be capable of conducting fieldwork to observe sedimentary rocks, record field data, and create sedimentary logs, as well as recognize key stratigraphic features in the field.
Students should understand the principles of relative and absolute dating in stratigraphy and be able to establish stratigraphic relationships among rock layers.Students should be able to reconstruct past environments by examining sedimentary rocks, fossils, and stratigraphic features, providing insights into Earth’s history.Graduates should be able to create geological maps, cross-sections, and interpret subsurface stratigraphy, which is valuable in resource exploration and environmental assessment.Students should appreciate the interdisciplinary nature of sedimentology and stratigraphy and understand how these fields contribute to the broader geosciences, including paleontology, climatology, and resource exploration.Graduates of the course should be able to effectively communicate their findings and interpretations through written reports, presentations, and graphical representations.Students should possess the ability to address geological problems and make inferences based on sedimentological and stratigraphic data.Students should adhere to ethical standards in data collection, research, and professional conduct in the field of sedimentology and stratigraphy.
Module content
Lecture (Class Work) Basic principles of sedimentologyThe type of component or particle of the sedimentSedimentary rock textureThe meaning population of grains associated with the sedimentation processMechanical processes in the formation of sedimentary rocksThe basic concept of faciesCharacteristics of land depositsCharacteristics of marine depositsThe concept of geological stratigraphySequence of rocks verticallyLateral relationships between layers in a depositional environment analysisRules for naming and creating stratigraphic unitsDepositional environment interpretation model
Recommended Literatures Boggs, S. (2018). Principles of sedimentology and stratigraphy (6th ed.). Pearson. Nichols, G. (2017). Sedimentology and stratigraphy (2nd ed.). Wiley-Blackwell. Tucker, M. E. (2016). Sedimentary rocks in the field: A practical guide (4th ed.). Wiley-Blackwell. Prothero, D. R., & Schwab, F. (2019). Sedimentary geology: An introduction to sedimentary rocks and stratigraphy (3rd ed.). W. H. Freeman. Blatt, H., Middleton, G., & Murray, R. (2016). Origin of sedimentary rocks (2nd ed.). Prentice Hall. Reading, H. G. (2018). Sedimentary environments: Processes, facies and stratigraphy (4th ed.). Wiley-Blackwell. Leeder, M. (2017). Sedimentology and sedimentary basins: From turbulence to tectonics (2nd ed.). Wiley-Blackwell.

FST 6097209 Inversion Methods

Module Name	Inversion Methods
Module level, if applicable	Undergraduate
Module Identification Code	FST 6097209
Semester(s) in which the module is taught	6th
Person(s) responsible for the module	Sutrisno
Language	Bahasa Indonesia
Relation in Curriculum	Geophysics elective course for undergraduate program in Physics
Teaching methods, Contact hours	Lecture (conceptual, contextual and problem-solving approaches through expository, discussions and exercises).Structured activities (assignments based on conceptual, contextual and problem- solving approaches)Self Study (reading literature)Contract hours: 1 hour 40 minutes
Workload	Workload per semester (16 weeks) Lecture: 23 hoursMidterm and Final Exam: 3 hoursStructure and Self Study: 47 hoursTotal Workload: 73 hours
Credit points	1.98 ECTS
Admission and examination requirements	Enrolled in this course and minimum 80% attendance in lecture
Recommended prerequisites	–
Media employed	Board, LCD Projector, Laptop/Computer, Google Classroom
Forms of assessment	Structured assignment Quiz: 40 %Midterm exam Written: 30 %Final exam Written: 30 %
Intended Learning Outcome
By the end of the course, students should have a solid understanding of the theoretical foundations and principles underlying inversion methods in geophysics and other scientific fields.Students should be proficient in the mathematical techniques and algorithms commonly used in inversion methods, including linear and nonlinear optimization, regularization, and statistical approaches.Graduates should be able to effectively acquire and preprocess raw data from various sources, making it suitable for inversion analysis.Students should be able to properly parameterize the problem by selecting relevant model parameters and determining their uncertainties and constraints.Students should understand how to develop and apply forward models that simulate the relationship between model parameters and observed data.
Graduates should be familiar with a range of inversion algorithms, including least- squares, Bayesian, and model-based methods, and be able to select and apply the most appropriate one for a given problem.Students should be able to apply regularization techniques to stabilize the inversion process and assess the uncertainties in the obtained model parameters.Graduates should be skilled at interpreting the inverted models and validating them against observed data, critically assessing the quality of the results.Students should be able to apply inversion methods to various geophysical and scientific problems, such as subsurface imaging, seismic inversion, and medical imaging.Graduates should understand how to integrate inversion results with other geophysical or geological data to improve subsurface characterization and scientific understanding.Students should conduct inversions with ethical considerations, ensuring the proper use of data, respecting privacy, and being transparent in reporting results.Graduates should be proficient in communicating inversion results effectively through reports, presentations, and graphical representations, making complex technical concepts accessible to a broader audience.Students should possess problem-solving skills and critical thinking abilities to adapt inversion methods to diverse data and research scenarios.Graduates should be prepared to engage in further research and innovation related to inversion methods and their applications in various fields.
Module content
Lecture (Class Work) Introduction to Inversion MethodsData Acquisition and PreprocessingForward Modeling and Inverse ProblemLinear Inversion TechniquesNonlinear Inversion TechniquesBayesian Inversion and Uncertainty AnalysisEthical and Responsible Inversion
Recommended Literatures Menke, W. (2018). Geophysical data analysis: Discrete inverse theory (4th ed.). Academic Press. Tarantola, A. (2015). Inverse problem theory and methods for model parameter estimation (2nd ed.). SIAM. Constable, S. C., Parker, R. L., & Constable, C. G. (2016). Occam’s inversion: A practical approach to geophysical data analysis. Geophysics, 61(2), 394–408. Aster, R. C., Borchers, B., & Thurber, C. H. (2018). Parameter estimation and inverse problems (3rd ed.). Elsevier. Menke, W., & Menke, W. (2017). Geophysical data analysis: Discrete inverse theory (4th ed.). Academic Press. Backus, G., & Gilbert, F. (2016). Numerical applications of a formal inversion method. Geophysical Journal International, 13(1), 247–276.

FST 6097210 Well Logging

Module Name	Well Logging
Module level, if applicable	Undergraduate
Module Identification Code	FST 6097210
Semester(s) in which the module is taught	7th
Person(s) responsible for the module	Sutrisno
Language	Bahasa Indonesia
Relation in Curriculum	Geophysics elective course for undergraduate program in Physics
Teaching methods, Contact hours	Lecture (conceptual, contextual and problem-solving approaches through expository, discussions and exercises).Structured activities (assignments based on conceptual, contextual and problem- solving approaches)Self Study (reading literature)Contract hours: 1 hour 40 minutes
Workload	Workload per semester (16 weeks) Lecture: 23 hoursMidterm and Final Exam: 3 hoursStructure and Self Study: 47 hoursTotal Workload: 73 hours
Credit points	2.13 ECTS
Admission and examination requirements	Enrolled in this course and minimum 80% attendance in lecture
Recommended prerequisites	–
Media employed	Board, LCD Projector, Laptop/Computer, Google Classroom
Forms of assessment	Structured assignment Quiz: 40 %Midterm exam Written: 30 %Final exam Written: 30 %
Intended Learning Outcome
By the end of the course, students should have a strong understanding of the fundamental principles of well logging, including the physical properties of rocks and fluids that are measured and analyzed.Graduates should be proficient in interpreting well log data, including gamma-ray, resistivity, porosity, and other logs, and using this information to characterize subsurface formations.Students should be able to describe the various types of logging tools and methods used in the industry, as well as the data acquisition process.Graduates should be able to integrate well log data with geological information to create detailed subsurface models and identify potential reservoirs, seals, and fluid content.
Students should be skilled in performing petrophysical analysis to estimate rock and fluid properties, such as porosity, permeability, and fluid saturation, based on well log responses.Graduates should be capable of assessing the quality of well log data and identifying and addressing common logging issues and artifacts.Students should be able to evaluate the economic potential of subsurface formations, assess reservoir quality, and make recommendations for drilling and production decisions.Graduates should be able to present well log data effectively using appropriate software and visualization tools, making complex information accessible to stakeholders.Students should understand the safety protocols and environmental considerations associated with well logging operations.Graduates should be able to communicate well log interpretations and findings clearly and professionally through written reports and oral presentations.Students should conduct well logging operations with integrity, adhering to ethical standards, and respecting data confidentiality.Graduates should be equipped to address geophysical and geological challenges through well logging and data analysis.
Module content
Lecture (Class Work) Introduction to Well LoggingLogging Tools and TechniquesAdvanced Logging TechniquesLog Quality ControlLog Interpretation and PetrophysicsGeological InterpretationReservoir EvaluationEnvironmental and Safety Considerations
Recommended Literatures Hongqi Liu. (2017). Principles and Applications of Well Logging. Springer. Zaki Bassiouni (bab), eds. Davis, Landrø & Wilson. (2019). “Well Logging” (Bab dalam Geophysics and Geosequestration). Cambridge University Press . Knut Bjørlykke (ed.), Nazmul Haque Mondol (kontributor). (2015) Well Logging: Principles, Applications and Uncertainties. Springer-Verlag

FST 6097211 Geophysical Data Processing

Module Name	Geophysical Data Processing
Module level, if applicable	Undergraduate
Module Identification Code	FST 6097211
Semester(s) in which the module is taught	7th
Person(s) responsible for the module	Praditiyo Riyadi
Language	Bahasa Indonesia
Relation in Curriculum	Geophysics elective course for undergraduate program in Physics
Teaching methods, Contact hours	Lecture (Contextual Instruction and Project Base Learning Method).Structured activities (assignments based on conceptual, contextual and problem- solving approaches)Self Study (reading literature)Contract hours: 1 hour 40 minutes
Workload	Workload per semester (16 weeks) Lecture: 23 hoursMidterm and Final Exam: 3 hoursStructure and Self Study: 47 hoursTotal Workload: 73 hours
Credit points	1.67 ECTS
Admission and examination requirements	Enrolled in this course and minimum 80% attendance in lecture
Recommended prerequisites	–
Media employed	Board, LCD Projector, Laptop/Computer, Google Classroom
Forms of assessment	Structured assignment Quiz: 40 %Midterm exam Written: 30 %Final exam Written: 30 %
Intended Learning Outcome
Develop proficiency in a programming language commonly used in geophysics, such as Python to solve geophysical problems computationally.Understand and apply numerical methods and algorithms for solving geophysical equations, including finite-difference, finite-element, and spectral methods.Create and run geophysical models and simulations, including forward modeling and inverse modeling, to study subsurface properties and phenomena.Analyze geophysical data computationally, using statistical and data processing techniques to extract meaningful information and insights.Generate informative visualizations of geophysical data and model results, facilitating the communication of findings to both technical and non-technical audiences.Apply computational techniques to address real-world geophysical problems, including geological interpretation, resource exploration, and hazard assessment.
Integrate various geophysical datasets, such as seismic, gravity, and magnetic data, to gain a comprehensive understanding of subsurface structures.Gain familiarity with geophysical modeling and data processing software commonly used in the industry.Encourage a research-oriented mindset, fostering innovation in computational geophysics techniques and staying updated with emerging technologies.Adhere to ethical standards in handling geophysical data and computational modeling, respecting intellectual property rights and confidentiality.Collaborate with professionals from diverse fields, such as geology, engineering, and computer science, to address complex geophysical challenges.
Module content
Lecture (Class Work) Introduction to Computational GeophysicsNumerical Methods in GeophysicsComputational ModelingData Analysis and InversionVisualization TechniquesPractical ApplicationsEthical Conduct and Interdisciplinary CollaborationResearch and Innovation
Recommended Literatures Clark R. Wilson. (2021). Essentials of Geophysical Data Processing. Cambridge University Press. William Menke. (2024). Geophysical Data Analysis and Inverse Theory with MATLAB® and Python. Feng Qian, Shengli Pan, Gulan Zhang. (2025). Tensor Computation for Seismic Data Processing: Linking Theory and Practice. Springer Cham. Giovanni Leucci. (2020). Forensic Geophysical Data Processing and Interpretation (chapter). In Advances in Geophysical Methods Applied to Forensic Investigations, Springer

FST 6097212 Geodynamics

Module Name	Geodynamics
Module level, if applicable	Undergraduate
Module Identification Code	FST 6097212
Semester(s) in which the module is taught	7th
Person(s) responsible for the module	Muhammad Nafian
Language	Bahasa Indonesia
Relation in Curriculum	Geophysics elective course for undergraduate program in Physics
Teaching methods, Contact hours	Lecture (conceptual, contextual and problem-solving approaches through expository, discussions and exercises).Structured activities (assignments based on conceptual, contextual and problem- solving approaches)Self Study (reading literature)Contract hours: 1 hour 40 minutes
Workload	Workload per semester (16 weeks) Lecture: 23 hoursMidterm and Final Exam: 3 hoursStructure and Self Study: 47 hoursTotal Workload: 73 hours
Credit points	1.98 ECTS
Admission and examination requirements	Enrolled in this course and minimum 80% attendance in lecture
Recommended prerequisites	–
Media employed	Board, LCD Projector, Laptop/Computer, Google Classroom
Forms of assessment	Structured assignment Quiz: 40 %Midterm exam Written: 30 %Final exam Written: 30 %
Intended Learning Outcome
Demonstrate a deep understanding of the dynamic processes that shape the Earth’s interior and surface.Explain the theory of plate tectonics and its role in the Earth’s geological evolution.Comprehend the principles of mantle convection and its influence on geological features.Understand the mechanical behavior of Earth’s materials and the processes of deformation, including ductile and brittle deformation.Analyze seismic activity and its relationship with plate boundaries and mantle dynamics.Explain the origin of volcanic and magmatic features and their connection to geodynamic processes.Investigate the geodynamic processes responsible for the formation of mountain ranges and other topographic features.
Understand the geodynamics behind basin formation, including sedimentary basins.Apply knowledge of geodynamics to interpret geological time scales and the Earth’s history.Use numerical modeling to simulate geodynamic processes and analyze their impact on the Earth’s surface.Explore the geodynamic processes on other celestial bodies, such as planets and moons.Integrate knowledge of geodynamics with other earth sciences, including geology, geophysics, and geochemistry.Apply geodynamic principles to solve real-world geological problems and make informed predictions about geological phenomena.Develop research skills and conduct independent investigations in geodynamics.Adhere to ethical standards in conducting research and reporting findings in the field of geodynamics.
Module content
Lecture (Class Work) Introduction to GeodynamicsPlate TectonicsMantle Convection and RheologySeismic Activity and Earthquake DynamicsVolcanism and MagmatismMountain Building and OrogenyBasin Formation and Sedimentary GeodynamicsPlanetary Geodynamics and Current Research
Recommended Literatures Antonio Schettino. (2017). Quantitative Plate Tectonics: Physics of the Earth, Plate Kinematics, Geodynamics. Springer Cham (SpringerLink). Neal Gupta & Sampat K. Tandon. (2020). Geodynamics of the Indian Plate: Evolutionary Perspectives. Springer Cham . Thorsten Becker & Claudio Faccenna. (2025). Tectonic Geodynamics. Princeton University Press. King, G. A., & Aurnou, M. A. M. (2016). The Dynamics of Plate Tectonics and Mantle Flow: From Local to Global Scales.