CHAPER 5 GRADUATION
5.1 REQUIREMENTS OF JUDICIUM ON FINAL COURSE
Statistics Study Program students are declared to have finished taking theories (Tutup Teori) in the judicium on final course meeting, with the following requirements:
a. Have taken a minimum of 134 credits (excluding Internship, Community Service, Comprehensive and Final Project/Thesis). The details are:
-University Compulsory Courses: 18 credits
- Compulsory Courses for Statistics Study Program: 98 credits - Compulsory Course of Elective Concentration: 9 credits - Free Elective Courses, minimum: 9 credits
b. There are no courses with an E or F.
c. D score, a maximum of 5% out of 145 credits or about seven credits (3 - 4 courses)
d. All courses in the table below get a minimum score of C, namely:
Table 5.1 Courses with minimum score of C
No Course Title Credits
1. Religion Education (Aqidah) 2
2. Pancasila Education 2
3. Civic Education 2
4. Exploratory Data Analysis 2
5. Categorical Data Analysis 2
6. Applied Regression Analysis 2
7. Programming Algorithms 2
8. Linear Algebra for Statistics 3
9. Calculus I 3
10. Calculus II 3
11. Computational Statistics 2
12. Statistical Method I 3
13. Statistical Method II 3
14. Introduction to Probability 3
15. Introduction to Mathematical Statistics I 3
16. Experimental Design 3
17. Sampling Technique 3
18. Research Methodology 3
19. Exploratory Data Analysis Practicum 1 20. Categorical Data Analysis Practicum 1 21. Practical Applied Regression Analysis 1
22. Time Series Analysis Practicum 1
23. Database Practicum 1
24. Computational Statistics Practicum 1
25. Operations Research Practicum 1
26. Management Information Systems Practicum 1 27. Applied Multivariate Statistics Practicum 1
No Course Title Credits
28. English Language Practicum II 1
29. Programming Algorithms practicum 1
30. Indonesian Language 2
31. English Language I 2
32. English Language II 1
33. Islam Ulil Albab 2
34. Islam Rahmatan Lil ‘Alamin 2
35. Entrepreneurship 2
36. Statistical Consulting 3
37. Business Environment 2
38. Success Skill 1
Total Credits 74
a. Elective courses to support certain concentrations will be compulsory in accordance with the student's concentration choice. The compulsory courses of elective concentration to support concentration are as follows:
Table 5.2 Compulsory Course of Elective Concentration
Concentration Course Title Credits Prerequisite Course
Data Science
Information Technology and Big Data 3 Database Business Intelligence and Machine
Learning 3 Database
Data Visualization 3 Exploratory Data Analysis
Disaster Management
Statistics
Remote Sensing 3 Disaster management
Geostatistics I 3 Disaster Management
Geostatistics II 3 Geographic Information
System Business and
Social Statistics
Business Decision Analysis 3 Statistical Method II
Econometrics for Business 3 Applied Regression
Analysis
Marketing Research & Strategy 3 Statistical Method II Business and
Social Statistics
Methods and Work Measurement 3 -
Integrated Quality Management 3 Statistical Quality Control Production Planning and Control 3 Statistical Method II
Actuarial
Life Insurance I 3 Introduction to
Probability
Life Insurance II 3 Life Insurance I
General insurance 3 Introduction to
Probability
5.2 GRADUATION REQUIREMENTS
Statistics Study Program students declared as having finished the study, as determined in the judicium on final study meeting. The followings are the requirements of graduation:
1. Have declared to complete all theories (Tutup Teori).
2. Have taken religious activities/examinations organized by the University and Faculties, with a minimum score C, proven by a certificate.
3. Have taken University Compulsory courses with a minimum score of C.
4. Have taken practicum with a minimum grade of C.
5. Have taken the Comprehensive Examination with a minimum score of C 6. Have taken the Thesis Defense and passed with a minimum score of B/C.
7. Cumulative Grade Point Average (CGPA), at least 2.25 (two point two five) 8. Have taken the CEPT exam (or a test equivalent to CEPT) and obtained a minimum
score of 422.
9. Meet other requirements of Judicium on Final Study as determined by the Faculty.
10. Have finished student activities with a minimum of 60 participation credits unit (Satuan Kredit Partisipasi/SKP).
5.3 COURSE SYLABUSES OF STATISTICS STUDY PROGRAM FIRTS SEMESTER SYLLABUS
UNI600 ISLAMIC EDUCATION (AQIDAH) (2 CREDITS) Prerequisite: none
This course aims to develop and apply an attitude of submission to God Almighty by carrying out His Shari'a in everyday life and upholding Islamic morals and universal ethics. This course studies the concept of human nature according to the Qur'an and Hadith, reflects on the suitability of daily behavior with Islamic values, and applies the pillars of faith and pillars of Islam according to the Qur'an and Hadith.
Handbooks:
1. Tim Penyusun. 2016. Pendidikan Agama Islam untuk Perguruan Tinggi.
Dirjen Pembelajaran dan Kemahasiswaan Kemenristekdikti RI, dapat diakses melalui Ahmad Azhar Basyir, 1990 Pendidikan Agama Islam I (Aqidah), Perpustakaan FH UII.
2. Shalih Bin Fauzan bin Abdullah Al- Fauzan. 1999. Kitab Tauhid 1, 2 dan 3.
Yogyakarta, Fakultas Ilmu Agama Islam Universitas Islam Indonesia, Pusat Dakwah dan pelayanan Masyarakat Buku DPPAI, bahan ajar Pendidikan Agama.
UNI603 PANCASILA EDUCATION (2 Credits) Prerequisite: None
This course aims to develop an understanding, appreciation, and application of Pancasila values in various life aspects for students as prospective Islamic intellectuals. It studies the expression an understanding attitude towards the Pancasila ideology and Indonesian nationality concept in social, national, and state life. It also encourages the students to identify and analyze the relationship between the Pancasila ideology and perspective with the Islamic views, study the comparison between the Pancasila ideology and other ideologies, reflect on Pancasila as a life value and a personal norm. Moreover, it encourages students to reflect on Pancasila as an ethical system in developing and applying science and technology in the studied field.
Handbooks:
1. Tim Penyusun. 2016. Pendidikan Pancasila untuk Perguruan Tinggi. Dirjen Pembelajaran dan Kemahasiswaan Kemenristekdikti RI Versi UII oleh Pak Suparman.
UNI606 ENGLISH LANGUAGE I (2 Credits) Prerequisite: None
This course aims to develop students' primary skills to communicate in English in their respective fields of knowledge. The skills include explaining the contents of textbooks in English, explaining paragraphs in English regarding topics in their field of study, and actively speaking to describe their profiles using English in effective and impressive ways.
Handbooks:
1. Anker, S. 2010. Real Writing with Reading: Paragraph and Essays for College, Work, and Everyday Life. Boston: Bedford/St. Martin’s .
2. Ackert, Patricia. 2004. Reading & Vocabulary Development 3: Cause &
Effect 4th ed. Boston: Thomson Heinle.
3. Brandon, Lee & Brandon, Kelly. 2005. Paragraphs and Essays: with integrated readings 11th ed. USA: Wadsworth.
SST101 LINEAR ALGEBRA FOR STATISTICS (3 Credits) Prerequisite: None
This course studies the concept of matrices, systems of linear equations, and vectors and their solutions. It also teaches students to solve problems in the statistics field using the concept of linear algebra.
Handbooks:
1. Anton, H. 1994. Elementary Linear Algebra 7 th ed. New York: John Wiley and Sons.
2. Anton, H. and Rorres, C. 2000. Elementary Linear Algebra, Application Version 8 th ed. John Wiley and son.
SST102 CALCULUS I (3 Credits) Prerequisite: None
This course studies the concept of sets, real numbers, mathematical logic, permutations, and combinations, functions, limits, and derivatives.
Handbooks:
1. Varberg, D., Purcell, E., and Ridgon, S. 2011. Calculus 9 th Edition. Pearson.
2. Hoffmann, L.D., and Bradley, G.L. 2010. Calculus for Bussiness, Economics, and the Social and the Life Science. McGraw Hill: New York.
SST103 STATISTICAL METHOD I (3 Credits) Prerequisite: None
This course studies the concepts of probability theory and statistics, statistical analysis methods using R software and Microsoft Excel for descriptive statistics.
Handbooks:
1. Walpole, R.E., dan Myers, R.H. 2008. Probability and Statistics for Engineer and Scientist 9 th Edition. Wiley and Sons. New York.
2. Good, P.I. 2005. Introduction to Statistics Through Resampling Methods and Microsoft Office Excel. Wiley Interscience. John Wiley & Sons, Inc.
Hoboken, New Jersey.
3. Rumsey Deborah. 2006. Probability for Dummies. Wiley Publishing, Inc.
Indianapolis, Indiana.
4. Suhov, Y., dan Kelbert, M. 2005. Probability and Statistics by Example.
Cambridge University.
SST104 BUSINESS ENVIROMENT (2 Credits) Prerequisite: None
This course studies the prediction of several business environments, then presents a description of the business environment and makes a scientific description of the business environment at hand.
Handbooks:
1. Aswathappa, K. Essentials of Business Environment. Himalaya Publishing House. New Delhi.
2. Chaffey, D. E-Business and E-Commerce Management Strategy, Implementation and Practice, fourth edition.
SST105 PROGRAMMING ALGORITHM (2 CREDITS) Prerequisite: None
This course studies the basic concepts of algorithms and programming, the principles of input and output in programming and its data structure, sequential programming techniques, branch programming techniques, loop
programming techniques, dimensional programming, basic matrix programming, data sort programming, use of procedures and functions, and programming with R.
Handbooks:
1. Wachid, F. 1996. Dasar-Dasar Algoritma dan Pemrograman. Andi Offset, Yogyakarta.
2. Pranata, A. 2005. Algoritma dan Pemrograman. Graha Ilmu, Yogyakarta
SST106 PROGRAMMING ALGORITHM PRACTICUM(1 Credit) Prerequisite: None
This course studies how to operate R software in designing algorithms, running programming, documenting, and re-running elementary programming.
Handbooks:
1. Ergul, Orgul. 2013. Guide to Programming and Algorithms Using R.
Springer, London.
2. Wachid, F. 1996. Dasar-Dasar Algoritma dan Pemrograman. Andi Offset, Yogyakarta.
3. Supriyono, 2006. Diktat Algoritma Pemrograman. FMIPA-UII.
SECOND SEMESTER SYLLABUS
SST201 OFFICIAL STATISTICS I (3 Credits) Perequisite: None
This course studies the concept of modeling and explains official statistics methods. It encourages students to partite problems of state conditions by modeling official statistics.
Handbooks:
1. BPS. 2007. Laporan Perekonomian Indonesia 2006. BPS. Jakarta.
2. BPS. 2006. Penduduk Hasil SUPAS 2005. BPS. Jakarta.
3. BPS. 2006. Statistik Industri Besar dan Sedang 2004. BPS. Jakarta.
4. StatSoft, Inc. 2006. Elementary Concept. Electronic Statistics Textbook.
Tulsa, OK: StatSoft. WEB:
http://www.statsoft.com/textbook/stathome.html.
SST202 DISASTER MANAGEMENT (3 Credits) Prerequisite: None
This course aims to equip students with management knowledge by understanding the disaster management cycles either before a disaster occurs (pre-disaster), during a disaster (syn-disaster), or post-disaster. It also equips students with management knowledge of both international and national aspects of disaster management platforms, concepts and terms in disaster management and natural disasters types (endogenous natural disasters and exogenous natural disasters), the process of natural disasters, controlling factors and triggers of natural disasters (natural physical factors & human factors), effects of natural disasters, spatial distribution and efforts mitigation that can be taken.
Handbooks:
1. Coburn and Spence. 1994. Disaster Mitigation. United Kingdom : Cambridge Arschitectural.
2. Mulyo, Agung. 2004. Pengantar Ilmu Kebumian. Bandung : Pustaka Setia.
3. L Don and Leet. 1964. Gempa Bumi ; Penyelidikan Ilmiah dan Sederhana.
Yogyakarta : Kreasi Wacana.
4. Soemarwotto. 1985. Dasar Dasar Ekologi. Jakarta : Gramedia.
SST203 CALCULUS II (3 Credits) Prerequisite: Calculus I
This course studies the concepts and theories of mathematics and calculus and explains the flow of the analysis.
Handbooks:
1. Purcell, E.L.. 1989. Kalkulus dan Geometri Analitik (Terjemahan). Erlangga, Jakarta.
2. Fajriyah, R. Diktat Kalkulus II. FMIPA UII, Yogyakarta.
SST204 STATISTICAL METHODS II (3 Credits) Prerequisite: Statistical Methods I
This course studies the concepts of probability theory and statistics, statistical analysis methods using R software and Microsoft Excel for inference statistics.
Handbooks:
1. Good, P.I. 2005. Introduction to Statistics Through Resampling Methods and Microsoft Office Excel. Wiley Interscience. John Wiley & Sons, Inc.
Hoboken, New Jersey.
2. Rumsey Deborah. 2006. Probability for Dummies. Wiley Publishing, Inc.
Indianapolis, Indiana.
3. Suhov, Y., dan Kelbert, M. 2005. Probability and Statistics by Example.
Cambridge University.
SST205 INTRODUCTION TO PROBABILITY (2 CREDITS) Prerequisite: None
This course studies the concepts of probability theory and statistics and methods of statistical analysis.
Handbooks:
1. Ross, S. 1997. Introduction to Probability Models 6th ed. Academic Press, San Diego.
2. Hogg, R. V. and Tanis, E. A. 1993. Probability and Statistical Inference 4th ed. MacMillan, New York.
3. Hoffman-Jorgensen, J. 1994. Probability with a View towards Statistics.
Chapman and Hall, New York.
4. Bain, LJ and Engelhart, M. 1992. Introduction to Probability and Mathematical Statistics. Duxbury Press.
SST206 EXPLORATORY DATA ANALYSIS (2 CREDITS) Prerequisite: None
This course studies the concept of exploratory data analysis and techniques in its research; and its calculations using SPSS and R software.
Handbook:
1. Tukey, J. W. 1997. Exploratory Data Analysis. Addison Wesley, Canada.
2. Kartiko, S. H. 1986. Analisis Data Statistik. Karunika, Jakarta.
3. Ott, R. L. 1993. An Introduction to Statistical Methods and Data analysis 4th ed. Duxbury Press, London.
4. Ericson, B. H dan T.A. Nosanchuk. 1983. Memahami Data. LP3ES, Jakarta.
5. Aunuddin. 1989. Analisis Data. PAU IPB, Bogor.
SST207 DATABASE (2 CREDITS)
Prerequisite: Programming Algorithm
This course studies the concept of introduction to database, levels in database, store/retrieve data, ER data models, Hierarchy + Network data models, query/SQL /DDL, Query/SQL/DML, query/SQL/DCL, relational models, relational algebra, normalization, and database design.
Handbook:
1. Han. Jiawei, Micheline Kamber, Jian Pei. 2012. Data Mining Concepts and Techniques. Morgan Kaufman publisher, Elsevier.
2. Klemens, Ben. 2009. Modelling with Data, Tools and Techniques for Scientific Computing. Princenton University Press.
3. Tan, Pang-Ning, Steinbach, Michael., Kumar, Vipin. 2006. Introduction to Data Mining. Pearson Addison-Wesley.
4. Bain, LJ and Engelhart, M. 1992. Introduction to Probability and Mathematical Statistics. Duxbury Press.
SST208 EXPLORATORY DATA ANALYSIS PRACTICUM (1 Credit)
Prerequisite: currently/have been taking Explorative Data Analysis
This course studies the concept of exploratory data analysis and techniques in its research, and its calculations using SPSS and R software.
Handbooks:
1. Tukey, J. W. 1997. Exploratory Data Analysis. Addison Wesley, Canada.
2. Ott, R. L. 1993. An Introduction to Statistical Methods and Data analysis 4th ed. Duxbury Press, London.
3. Gunardi 2003. Modul Praktikum Analisis Data. FMIPA UII, Yogyakarta.
4. Supandi, E.D. 2005. Modul Praktikum Analisis Data. FMIPA UII, Yogyakarta.
SST209 DATABASE PRACTICUM (1 credit)
Prerequisite:currently taking/ have taken Database
This course studies the concept of designing, organizing, and collecting data, programming, and documenting programs. It also relates to documented program reuse with MySQL and HTML software.
Handbooks:
-
THIRD SEMESTER SYLLABUS
SST301 MULTIVARIABLE CALCULUS (3 Credits) Prerequisite: Calculus II
This course studies the concepts of graphics, domains, partial derivatives, limit and continuity of two-variable functions, derivatives of two or more variables, integral functions of two variables, and application to the field of statistics.
Handbooks:
1. Purcell, E. J & D. Vanberg. 1999. Terjemahan, Kalkulus dan Geometri Analitis, Jilid 1 dan 2. Jakarta : Erlangga.
2. Spiegel. M. & Wrede R.C. 2002. Theory and Problem of Advanced Calculus.
Schaum Outline Series. Mc Graw-Hill.
3. Purcell, E. J & D. Vanberg. 2003. Terjemahan, Kalkulus , Jilid 2. Jakarta : Erlangga.
SST302 INTRODUCTION TO MATHEMATICAL STATISTICS I (3 Credits) Prerequisite: Introduction to Probability
This course studies the concepts and theories of opportunity as well as elementary statistical methods.
Handbooks:
1. Bain, LJ and Engelhart, M. 1992. Introduction to Probability and Mathematical Statistics. Duxbury Press.
2. Hogg, R. V. and Craig, A.T. 1995. Introduction to Mathematical Statistics 5th ed. Prentice Hall, Englewood Cliffs.
3. Rice, J. 1995. Mathematical Statistics and Data Analysis. Duxbury Press, California.
SST303 OFFICIAL STATISTICS I (3 Credits) Prerequisite: Official Statistics I
This course studies the concept of modeling and explaining official statistical methods and partitioning the problems of state conditions by modeling official statistics.
Handbooks:
1. Buku Pedoman Pengumpulan dan Pengolahan Data Tanaman Pangan, Badan Pusat Statistik dan Departemen Pertanian, 2007.
2. Buku Pedoman Pengumpulan dan Pengolahan Data Tanaman Hortikultura, Badan Pusat Statistik dan Departemen Pertanian, 2007.
3. Buku Pedoman Pelaksanaan Kegiatan Statistik Perkebunan, Badan Pusat Statistik.
4. Buku Pedoman Pelaksanaan Kegiatan Kehutanan, Badan Pusat Statistik.
5. Buku Pedoman Pelaksanaan Kegiatan Perikanan, Badan Pusat Statistik.
6. Buku Pedoman Pelaksanaan Kegiaatan Statitistik Peternakan, Badan Pusat Statistik.
SST304 SAMPLING TECHNIQUE (3 Credits) Prerequisite: Statistical Methods II
This course studies the basic concepts of sampling techniques, sampling methods, simple random sampling, sampling error, stratification sampling, systematic sampling. Moreover, it relates to cluster sampling and sampling techniques for social, business, and industrial cases.
Handbooks:
1. Alreck, P.L. and Settle, R.B. 1995. The Survey Research Handbook. Irwin, Toronto.
2. Scheaffer, R.L., Mendenhall, W III, and Ott, R.L. 1996. Elementary Survey Sampling 5th ed. Duxbury Press, New York.
3. Cochran, W. 1991. Teknik Penarikan Sampel Ed.3, UI-Press, Jakarta.
4. Eriyanto. 2007. Teknik Sampling Analisis Opini Publik LKIS.
SST305 APPLIED REGRESSION ANALYSIS (2 Credits) Prerequisite: Statistical Method II
This course studies the concepts of simple linear regression and correlation, statistical inference in simple linear regression, and multiple regression analysis.
Handbooks:
1. Montgomery, D. C. & Peck, E.A. 1992. Introduction to Linear Regression Analysis. John Wiley & Sons, New York.
2. Myer, R.H. 1990. Classical and Modern Regression with Applications. PWS- KENT, Boston.
3. Dielman, Terry E. 2001. Applied Regression Analysis for Bussiness and Economics.
4. Mendenhall., W, and Sincich., T. 1996. A Second Course in Statistics:
Regression Analysis.
SST306 MANAGEMENT INFORMATION SYSTEM (2 Credits) Prerequisite: Programming Algorithm
This course studies the concept of information systems and their development and application in the industrial world, security and control of information systems, e-business, and e-commerce, and implements object-oriented programming in making mobile-based applications.
Handbooks:
1. O’Brien J.A., and Marakas, G.M. 2011. Management Information System, 9 th ed. McGraw-Hill.
2. Armor, D. 2000. The e-business (R) Evolution: Living and Working in a Interconnected World. Upper Saddle River, Nj: Prentice Hall.
3. Fallestein, Craig, and Roon, W. 2000. Exploring e-commerce, Global e- societies. Upper Saddle River, Nj: Prentice Hall.
4. Bosse, R., and Sugumaran, V. 1999. Application of Intelegence Agent technology for managerial database for advances in information system.
ACM Digital Library.
5. Christensen, C. 1997. The Innovators Dillema When New Technology Cause Great Firms to fail. Boston: Harvard business school Press.
6. David, M. 2013. Building Websites with HTML5 to Work with Mobile Phones. Visualizing web: Focal Press.
SST307 APPLIED REGRESSION ANALYSIS PRACTICUM (1 Credit) Prerequisite: currently/have taken Applied Regression Analysis
This course studies the concept of problem-solving in regression analysis using SPSS and R software.
Handbooks:
1. Draper, N.R. and Smith,H. 1982. Applied Regresion Analysis 2nd ed. John Wiley and Sons, New York.
2. Everitt, B. S. 1994. A Handbook of Statistical Analysis Using S-PLUS.
Chapman and Hall, London.
3. Dielman, T. E. 2001. Applied Regression Analysis for Bussiness and Economics. Duxbury Press, New York.
SST308 MANAGEMENT INFORMATION SYSTEM PRACTICUM (1 Credit) Prerequisite: currently/have taken the Management Information System This course studies form PHP concepts, MySQL, and website applications.
Handbooks:
1. O’Brien J.A., and Marakas, G.M. 2011. Management Information System, 9 th ed. McGraw-Hill.
2. Armor, D. 2000. The e-business (R) Evolution: Living and Working in a Interconnected World. Upper Saddle River, Nj: Prentice Hall.
3. Fallestein, Craig, and Roon, W. 2000. Exploring e-commerce, Global e- societies. Upper Saddle River, Nj: Prentice Hall.
4. Bosse, R., and Sugumaran, V. 1999. Application of Intelegence Agent technology for managerial database for advances in information system.
ACM Digital Library.
5. Christensen, C. 1997. The Innovators Dillema When New Technology cause Great Firms to fail. Boston: Harvard business school Press.
6. David, M. 2013. Building Websites with HTML5 to Work with Mobile Phones. Visualizing web: Focal Press.
SST309 SIMULATION TECHNIQUES (3 Credits) Prerequisite: Programming Algorithm
This course studies the concept of queuing theory and composing queuing model programs using MATLAB software.
Handbooks:
1. Law. A and David. K. 1991. Modelling and Analysis. Mc Graw-Hill, USA.
2. Saur and Chandy. 1981. Computer System Performance. Prestice-Hall, USA.
3. Supriyono. 2006. Diktat Teknik Simulasi. FMIPA-UII.
SST310 FINANCIAL ANALYSIS (3 CREDITS) Prerequisite: None
This course studies the concepts of financial analysis, financial reports, investment analysis, and investment risk management.
Handbooks:
1. Wild, John & Subramanyam. 2008. Analisis Laporan Keuangan. Mc.Graw Hill Inc., New York.
2. Fahmi, Irham. 2013. Pengantar Manajemen Keuangan. Alfabeta, Bandung.
3. Harjito, Agus & Martono. 2008. Manajemen Keuangan. Ekonisia, Yogyakarta.
SST311 MANAGEMENT ACCOUNTING (2 CREDITS) Prerequisite: None
This course studies managerial accounting concepts, asset components, accounting equations and accounting records, accounting principles, financial reports, financial statement analysis, break-even analysis, and financial data research.
Handbooks:
1. Gray R. 1982. Cost and Managerial Accounting. Mc.Graw Hill Inc., New York.
2. Hermanson R.H., Edwards, J.D., & Solomon R.F. Accounting Principles 3rd ed.
3. Matz, A., Uzry, M.F., & Hammer L.H. 1984. Cost Accounting-Planning and Control. South-Western Publishing Co., Cincinnati.
4. Smith, J.L., R.M. Kcith & W.L. Stephens. Accounting Principles. Mc.Graw Hill.
5. Warsono, Sony., Darmawan, Arif., & Ridha, Arsyado. Akuntansi Pengantar 1 Berbasis Matematika.
SST312 HYDROLOGY AND CLIMATOLOGY (2 CREDITS) Prerequisite: None
This course studies the concepts and theories of hydrology and climatology and resolves problems using statistical techniques.
Handbooks:
1. Ralph J.C., et.al. 2001. Climate Change Science. Washington D.C.: National Academy Press.
FOURTH SEMESTER SYLLABUS
UNI601 ISLAM ULIL ALBAB (2 Credits) Prerequisite: None
This course aims to develop students' abilities to understand and reflect on the concept human of ulil albab and take lessons from Muslim scholars' thoughts, the exemplary figures of UII's founding figures, and from the development of Islamic culture.
Handbooks:
1. Tim Penyusun. 2016. Pendidikan Agama Islam untuk Perguruan Tinggi.
Dirjen Pembelajaran dan Kemahasiswaan Kemenristekdikti RI.
2. Antonio, Syafii Muhammad. 2007. Muhammad SAW: The Super Leader Super Manager. Jakarta: ProLM Centre & Tazkia Multimedia.
3. Karim, M. Abdul. 2012. Sejarah Pemikiran Peradaban Islam. Bagaskara:
Yogyakarta.
4. Universitas Islam Indonesia. 2015. 9 Windu Universitas Islam Indonesia.
Yogyakarta.
UNI604 CIVIC EDUCATION (2Credits) Prerequisite: None
This course aims to develop students' abilities as citizens in civic knowledge, civic skills, and civic dispositions. Civic knowledge is related to the content or what citizens should know. Civic skills are skills that citizens need to possess, including intellectual skills and participation skills. In contrast, civic dispositions are related to citizens' personal and public character to be maintained and improved.
Handbooks:
1. Tim Penyusun. 2016. Pendidikan Kewarganegaraan untuk Perguruan Tinggi. Dirjen Pembelajaran dan Kemahasiswaan Kemenristekdikti RI.
SST401 SUCCESS SKILL (1 Credit) Prerequisite: None