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Long Term Research Theme

Dalam dokumen ACADEMIC GUIDELINES BACHELOR DEGREE PROGRAM (Halaman 81-150)

CHAPTER V DEPARTMENT OF STATISTICS

5.6. Undergraduate Statistics Study Program

5.6.9. Long Term Research Theme

Improving the quantity and quality of research is referring to the research roadmap of Statistics Undergraduate Study Programs, which are compiled based on RIP UB. The Roadmap of Statistics Undergraduate Study Programs can be seen in Figure 3.

Figure 2. Research Roadmap of Statistics Undergraduate Study Programs 5.6.10. List of Compulsory Courses in Statistics Undergraduate Study Program based on

Semester

Below are tables (Table 8. up to Table 15.) that consist of compulsory courses that must be taken in each semester.

Table 5. List of Compulsory Courses in 1st Semester

Code Courses Credits

Requirements

C L T

UBU60005 English 3 - 3 -

MAS61211 Introduction to Life Sciences 3 - 3 -

MAS61311 Introduction to Economics 3 - 3 -

MAS61111 Mathematics 3 - 3 -

MAS61112 Introduction to Sets and Logics 2 - 2 -

MAS61312 Introduction to Management 2 - 2 -

74

Code Courses Credits

Requirements

C L T

MAS61121 Statistical Method I 2 1 3 -

Sum of Credits 19

Table 6. List of Compulsory Courses in 2nd Semester

Code Courses Credits

Requirements

C L T

MPK60001 Islamic Religion 3 - 3 -

MPK60002 Catholics Religion 3 - 3 -

MPK60003 Christian Religion 3 - 3 -

MPK60004 Hinduism Religion 3 - 3 -

MPK60005 Buddhism Religion 3 - 3 -

MAS62111 Introduction to Probability Theory 3 - 3 MAS61112

MAS62121 Statistical Method II 2 1 3 MAS61121

MAS62122 Introduction to Regression Analysis 3 - 3 MAS61121 MAS62113

MAS62112 Mathematics I 3 - 3 MAS61111

MAS62113 Matrices and Vector Spaces 3 - 3 MAS61111

MAS62331 Financial Mathematics 3 - 3 MAS61111

Sum of Credits 21

Table 7. List of Compulsory Courses in 3rd Semester

Code Courses Credits

Requirements

C L T

MAS61131 Basics of Programming 2 1 3 -

MAS61321 Linear Programming 3 - 3 MAS62113

MAS61311

MAS61113 Mathematics II 3 - 3 MAS62112

MAS61114 Mathematical Statistics 3 - 3 MAS62111

MAS61212 Introduction to Experimental Design 3 - 3 MAS62121

MAS61122 Nonparametric Statistics 3 - 3 MAS62121

Sum of Credits 18

Table 8. List of Compulsory Courses in 4th Semester

Code Courses Credits

Requirements

C L T

MAS62131 Database 2 1 3 MAS61131

75

Code Courses Credits

Requirements

C L T

MAS62114 Introduction to Numerical Analysis 2 1 3 MAS62112 MAS61131

MAS62332 Statistical Quality Control 3 - 3 MAS62121

MAS62115 Mathematical Statistics II 3 - 3 MAS61114

MPK60006 Citizenship 3 - 3 ≥ 54 Credits

MAS62221 Categorical Data Analysis 3 - 3 MAS62122

MAS62111

Sum of Credits 18

Table 9. List of Compulsory Courses in 5th Semester

Code Courses Credits

Requirements

C L T

MAS61123 Introduction to Linear Model 3 - 3

MAS62122 MAS61212 MAS62121

MAS61124 Sampling and Survey Technique 3 - 3 MAS61114

MAS61322 Time Series Analysis 3 - 3 MAS62115

MAS62122

MAS61132 Computational Statistics 2 1 3 MAS62121

MAS61131

UBU60004 Entrepreneurship 3 - 3 ≥ 60 Credits

MPK60008 Pancasila 2 - 2 ≥ 60 Credits

Sum of Credits 17

Table 10. List of Compulsory Courses in 6th Semester

Code Courses Credits

Requirements

C L T

MAS62123 Multivariate Analysis I 2 1 3 MAS62115

MAS62113

MAS62132 Data Mining 3 - 3 MAS61132

MAS62131

MPK60007 Indonesian 3 - 3 ≥ 90 Credits

MAS62124 Scientific Research and Writing

Method 2 - 2 ≥ 90 Credits

Sum of Credits 11

76

Table 11. List of Compulsory Courses in 7th Semester

Code Courses Credits

Requirements

C L T

UBU60002 Internship 3 - 3 ≥ 100 Credits

Sum of Credits 3

Table 12. List of Courses in 8th Semester

Code Courses Credits

Requirements

C L T

UBU60001 Final Project 6 - 6 ≥ 120 Credits

Sum of Credits 6

5.6.11. List of Courses in Statistics Undergraduate Study Program based on Odd and Even Semester

Below are tables (Table 16. and Table 17.) that consist of compulsory and elective courses based on odd and even semester.

Table 13. List of Compulsory and Elective Courses in Odd Semester

Code Courses Credits Sta

tus Se mes

ter

Requirements

C L T

UBU60005 English 3 - 3 C 1 -

MAS61211 Introduction to Life

Sciences 3 - 3 C 1 -

MAS61311 Introduction to

Economics 3 - 3 C 1 -

MAS61111 Mathematics 3 - 3 C+ 1 -

MAS61112 Introduction to Sets

and Logics 2 - 2 C 1 -

MAS61312 Introduction to

Management 2 - 2 C 1 -

MAS61121 Statistical Method I 2 1 3 C 1 -

MAS61131 Basics of Programming 2 1 3 C 3 -

MAS61321 Linear Programming 3 - 3 C+ 3 MAS62113,

MAS61311

MAS61113 Mathematics II 3 - 3 C+ 3 MAS62112

MAS61114 Mathematical Statistics 3 - 3 C+ 3 MAS62111 MAS61212 Introduction to

Experimental Design 3 - 3 C+ 3 MAS62121

77

Code Courses Credits Sta

tus Se mes

ter

Requirements

C L T

MAS61122 Nonparametric

Statistics 3 - 3 C+ 3 MAS62121

MAS61123 Introduction to Linear

Model 3 - 3 C+ 5

MAS62122, MAS61212, MAS62121 MAS61124 Sampling and Survey

Technique 3 - 3 C 5 MAS61114

MAS61322 Time Series Analysis 3 - 3 C 5 MAS62115,

MAS62122 MAS61132 Computational

Statistics 2 1 3 C 5 MAS62121,

MAS61131

UBU60004 Entrepreneurship 3 - 3 C 5 ≥ 60 Credits

MPK60008 Pancasila 2 - 2 C 5 ≥ 60 Credits

UBU60002 Field Work Study 3 - 3 C 7 ≥ 100 Credits

MAS61115 Stochastic Process 3 - 3 E+ 3 MAS62111

MAS61323 Econometrics 3 - 3 E 3 MAS62122,

MAS62311

MAS61331 Decision Theory 2 - 2 E 3 MAS62111

MAS61324 Macroeconomics 3 - 3 E 3 MAS62311

MAS61332 Actuarial Science 3 - 3 E 3 MAS62331

MAS61325 Smoothing Method 2 - 2 E 3 MAS62122

MAS61133 Bayesian Analysis 3 - 3 E 5 MAS62115

MAS61125 Spatial Analysis 3 - 3 E 5 MAS62115,

MAS62122

MAS61333 Analysis of Reliability 3 - 3 E 5 MAS62115,

MAS62122

MAS61221 Response Surface 2 - 2 E 5 MAS61212

MAS61222 Biometrics 3 - 3 E+ 5 MAS61212

MAS61134 Optimization

Technique 2 - 2 E 5 MAS62114,

MAS61321 MAS61334 Advanced Statistical

Quality Control 3 - 3 E 5 MAS62332

78

Code Courses Credits Sta

tus Se mes

ter

Requirements

C L T

MAS61326 Measurement Design 2 - 2 E 5 ≥ 80 Credits

MAS61327 Social Statistics 2 - 2 E 5 MAS61122,

MAS62221 MAS61136 Management

Information System 3 - 3 E 5 MAS61312,

MAS62131 MAS61137 Artificial Neural

Network Models 3 - 3 E 7 MAS61131,

MAS61132 MAS61223 Advanced Categorical

Data Analysis 2 - 2 E 7 MAS62221

MAS61116 Multivariate Analysis II 3 - 3 E 7 MAS62123 MAS61117 Statistical Consulting 2 - 2 E 7 ≥ 100 Credits MAS61335 Capita Selecta of

Statistical Economics 2 - 2 E 7 ≥ 100 Credits MAS61138

Capita Selecta of Computational Statistics

2 - 2 E 7 MAS61132

Sum of Credits 113

Table 14. List of Compulsory and Elective Courses in Even Semester

Code Courses

Credits Sta tus

Se mes

ter

Requirements

C L T

MPK60001 Islamic Religion 2 - 2 C 2 -

MPK60002 Catholics Religion 2 - 2 C 2 -

MPK60003 Christian Religion 2 - 2 C 2 -

MPK60004 Hinduism Religion 2 - 2 C 2 -

MPK60005 Buddhism Religion 2 - 2 C 2 -

MAS62111 Introduction to

Probability Theory 3 - 3 C + 2 MAS61112

MAS62121 Statistical Method II 2 1 3 C 2 MAS61121

MAS62122 Introduction to

Regression Analysis 3 - 3 C + 2 MAS61121

MAS62113

MAS62112 Mathematics I 3 - 3 C + 2 MAS61111

79

Code Courses

Credits Sta tus

Se mes

ter

Requirements

C L T

MAS62113 Matrices and Vector

Spaces 3 - 3 C + 2 MAS61111

MAS62331 Financial Mathematics 3 - 3 C 2 MAS61111

MAS62131 Data Base 2 1 3 C 4 MAS61131

MAS62114 Introduction to

Numerical Analysis 2 1 3 C 4 MAS62112,

MAS61131 MAS62332 Statistical Quality

Control 3 - 3 C + 4 MAS62121

MAS62115 Mathematical Statistics

II 3 - 3 C + 4 MAS61114

MPK60006 Citizenship 3 - 3 C 4 ≥ 54 Credits

MAS62221 Categorical Data

Analysis 3 - 3 C + 4 MAS62122,

MAS62111

MAS62123 Multivariate Analysis I 2 1 3 C 6 MAS62115,

MAS62113

MAS62132 Mining Data 3 - 3 C 6 MAS61132,

MAS62131

MPK60007 Indonesian Language 3 - 3 C 6 ≥ 90 Credits

MAS62124 Scientific Research and

Writing Method 2 - 2 C 6 ≥ 90 Credits

UBU60001 Final Project 6 - 6 C 8 ≥ 120 Credits

MAS62212 Sciences 2 - 2 E 2 -

MAS62125 Explanatory Data

Analysis 2 - 2 E 2 MAS61121

MAS62311 Microeconomics 3 - 3 E 2 MAS61311

MAS62133 Data Structure 2 1 3 E 4 MAS61131

MAS62211 Analysis of Variance 3 - 3 E+ 4 MAS61212

MAS62333 Risk Theory 3 - 3 E 4 MAS62115,

MAS61332

MAS62321 Simulation Method 2 - 2 E 4 MAS62111,

MAS61131 MAS62126 Advanced Regression

Analysis 2 1 3 E 4 MAS62122

MAS62322 Operation Research 2 1 3 E 4 MAS61321,

MAS62111

80

Code Courses

Credits Sta tus

Se mes

ter

Requirements

C L T

MAS62323 Forecasting Methods 2 1 3 E 6 MAS61322

MAS62134

Advanced Computational Statistics

2 1 3 E+ 6 MAS61132

MAS62222 Analysis of Survival 3 - 3 E 6 MAS62111,

MAS62122

MAS62135 Fuzzy Logic Model 3 - 3 E 6 MAS61322

MAS62334 Industrial Statistics 2 - 2 E 6 MAS62332

MAS62324 Advanced

Econometrics 3 - 3 E 6 MAS61323,

MAS61322 MAS62325 Non Linear Time Series

Analysis 2 - 2 E+ 6 MAS61322

MAS62223 Capita Selecta of

Natural Sciences 2 - 2 E 6 ≥ 100 Credits

MAS62136 Big Data Analysis 3 - 3 E 6 MAS62131,

MAS61132 UBU60003

Community Development Participation

2 - 2 E 6 ≥ 90 Credits

Sum of Credits 118

Notes :

Requirement courses are courses that have been previously taken and do not get an E grade

+ : The course has a tutorial class L : Credits for Laboratory Session T : Sum of Credits

E : Status for Elective Course C : Status for Compulsory Course

5.6.12. List of Transition Courses in Odd Semester in Statistics Undergraduate Study Program based on Odd and Even Semester

Table 15. List of Compulsory and Elective Courses in Odd Semester

No Code Courses Credits Sta

tus Requirements C L T

1 MAS4138 Actuarial Science 3 - 3 E -

2 MAS4102 Internet Programming 3 - 3 E MAS4201

81

No Code Courses Credits Sta

tus Requirements C L T

3 MAS4137 Multivariate Data Exploration 3 - 3 E MAS4238

4 MAS4115 Mining Data 3 - 3 E MAS4134,

MAS4238

5 MAU4101 Sciences 2 - 2 C -

5.6.13. List of Transition Courses in Even Semester in Statistics Undergraduate Study Program based on Odd and Even Semester

Table 16. List of Compulsory and Elective Courses in Odd Semester

No Code Courses Credits Sta

tus Requirements C L T

1 MAS4238 Multivariate Analysis 2 1 3 E MAS4212,

MAS4211 2 MAS4217 Introduction to Management

Information System 3 - 3 E -

5.6.14. Course Syllabuses of Statistics Undergraduate Study Program COMPULSORY COURSES

ENGLISH (UBU60005) 3 credits

Requirements : -

Description :

The courses program the discussion of English-language information systems through scientific reading, oral and written expressions

Learning Goal :

Students are able to explain several techniques of reading scientific texts that support the improvement of skills in accessing information systems more quickly and accurately. In addition, students can improve their verbal and written communication skills with the more precise sentence and expression structures.

Subject of Course :

Some techniques of reading, finding a subject and re-expressing a thought verbally and in English, improve sentence structure.

Learning Strategy :

Lectures, practical work, quizzes, structured assignments, class presentations and discussions as well as student centered learning (SCL)

82

References : -

INTRODUCTION TO LIFE SCIENCE (MAS61211) 3 credits

Requirements : -

Description :

This course discusses the concept of natural science that is related to variable identification, methods of measurement and experiments in public health, disease diagnosis, survival, soil, climate, crop cultivation, animal husbandry, and aquaculture.

Learning Goal :

After attending the Introduction to Life Sciences course, students are expected to be able to apply statistics in identifying variables, methods of measurement and experiments in Biology, including theories of the origin of life, life concepts, the introduction of living things, nervous systems, ecosystem concepts, and genetics. In Medicine and Nursing, including public health, disease diagnosis, and survival. In Agriculture and Agricultural Technology, including soil and climate science, crop cultivation, and other sciences. In Fisheries, including aquaculture and other sciences. In Animal Husbandry, including animal husbandry cultivation and other sciences.

Subject of Course :

Apply statistics in identifying variables, methods of measurement and experiments in Biology, including theories of the origin of life, life concepts, the introduction of living things, nervous systems, ecosystem concepts, and genetics. In Medicine and Nursing, including public health, disease diagnosis, and survival. In Agriculture and Agricultural Technology, including soil and climate science, crop cultivation, and other sciences. In Fisheries, including aquaculture and other sciences. In Animal Husbandry, including animal husbandry cultivation and other sciences.

Learning Strategy :

Lectures, assignments, and discussions.

References :

1. Gomez, K.A. and Gomez, A.A. 1976. Statistical Procedures for Agricultural Research with Emphasis on Rice. IRRI, LosBanos, Laguna, Philippines.

2. Steel, R.G.D. and Torrie, J.H. 1980. Principles and Procedures of Statistics. Second Ed.

McGraw-Hill Kogakusha Ltd., Tokyo.

3. Shantaram, S., J.F. Montgomery. 1999. Biotechnology, Biosafety and Biodiversity.

Science . Publ. USA.;

4. Barbosa, P. 1998. Conversation Biological Control. Academy Press Limited. UK.

5. Walpole, R. E. 1993. Pengantar Statistika. Edisi 3. PT. Gramedia Pustaka Utama 6. Erickson B.H., Nosanchuck T.A. 2002. Understanding Data. Ed. Ke-2. Berkshire: Open

University Press.

83

INTRODUCTION TO ECONOMICS (MAS61311) 3 credits

Requirements : -

Description :

Learn the basic concepts of economics, the division of micro and macro economics by deepening the theory of supply demand, company behavior, the labor market, and macroeconomic consumer theory.

Learning Goal :

After attending the Introduction to Economics, students are expected to be able to understand the concepts of microeconomics and macroeconomics, translate economic problems into statistical logic, understand the concepts and application of supply and demand theory and company behavior, the concepts of money and prices and the open economic system, convey general cases in economics and their analysis in writing and verbally in the form of individual or group assignments.

Subject of Course :

Lectures, assignments, and discussions

Learning Strategy :

Market Mechanisms: Supply and Demand, Public Sector Economy, Behavior of Companies and Industrial Organizations, Labor Market Economy, Macroeconomic Consumer Theory, Short and Long term Economies, Open Economic Systems.

References :

1. Mankiw, N. G., 2011, Principles of Economics, 6th Edition, South Western Educational Publishing.

MATHEMATICS (MAS61111) 3 credits

Requirements : -

Description :

Learn how to solve limit, derivative, and integral problems and their application in mathematics in general and statistics in particular.

Learning Goal :

After taking this course, students can understand the concept of functions and draw graphs of functions, concepts of limits and continuity, calculate and apply the limits of various functions in statistics, concepts of integral and apply them in finding areas in cartesian and polar coordinates, integral concepts to solve the volume of objects, the center coordinates of mass, as well as probabilities and random variables, and identify and solve derivative and integral of transcendent function.

Subject of Course :

Lectures, assignments, laboratory session, and tutorial class.

84

Learning Strategy :

Function and Graph of a Function, Limit and Continuity of Function, Derivative and Its Application in Drawing Graphs, Indefinite and Definite Integral, The Application of Integral in Volume, Center of Mass, Probability, and Random Variables, Transcendent Function (Logarithm, Natural Logarithm, and Exponential).

References :

1. Purcell, E.J. dan D. Verberg, 1986 (terjemah B. Kartasasmita dkk): Kalkulus Goemetri Analitis, jilid 1 dan 2; edisi 4, Erlangga.

2. Wrede, R. & Spiegel, M.R., 2002. Advanced Calculus, (2nd Edition, 2007), Erlangga.Harper and Row.Baisoeni, MH.1986. Kalkulus, UI Press.

3. Baisoeni, M.H. 1986. Kalkulus. UI Press.

INTRODUCTION TO SETS AND LOGICS (MAS61112) 3 credits

Requirements : -

Description :

Learning about the rules of logic, how to build and prove a statement, concepts of set, proving simple properties of set, the application of logic and set in statistics and computer.

Learning Goal :

After taking this course, students can understand logic, rules of logic, concepts of set, proving simple properties of set, how to build and prove a statement in written or verbally in the form of individual or group assignments, the application of logics and sets in statistics and computers in written or verbally in the form of individual or group assignments.

Subject of Course :

Lectures, assignments, and discussions.

Learning Strategy :

Statements, propositions, proposition operators, propositional logic sentences, compound sentences, truth tables, contraposition and negation of sentences, the definition of constants and variable, tautology, contradictions and contingencies, equivalence logic, quantifier, universal and existential, limited quantification, rules of inference, The Universe of speech, the set and its operations, the set of powers, the proof of induction, relations, the properties of binary relations, the representation of relations with matrices and directed lines, inverse relations, the composition of relations, functions, domains and ranges, injective, subjective, and bijective functions, Examples of the application of logic and sets in statistics and computers.

References :

1. Marsudi. 2010. Logika dan Teori Himpunan. UB Press, Malang.

2. orski, A. 1959. Introduction to Logic. Oxford-Press.

3. Rosen K. H. 2012. Discrete mathematics and its applications 7th Ed. McGraw-Hill. Inc.

85 4. Lipschutz, Seymour and Lipson, Marc L. (2001). Schaum’s Outlines Aljabar Linear. 3 rd.

ed. (Alih bahasa: Refina Indriasari, S.T., M.Sc.). Jakarta: Penerbit Erlangga.

ITRODUCTION TO MANAGEMENT (MAS61312) 2 credits

Requirements : -

Description :

This course learns managerial concepts and techniques, levels of management, functional areas in organizations, management functions, strategic planning, both local, national, and international, and the role of statistics in management.

Learning Goal :

After attending the Introduction to Management course, students are expected to be able to understand the concepts of management and managers as well as the evolution of management theory, the basics of planning, managerial decision making, the basics of organizing, and designing work in management, the concepts of human resource management, the basics of leadership, and how to conceptualize work motivation in management, basic concepts of communication and interpersonal skills, as well as how to build teams and teamwork, principles and information systems in control, concepts of operations management and services.

Subject of Course :

Basic concepts of management, modern management, history of management, management processes (1): planning, strategic planning, management processes (2):

organizing, human resource management, management processes (3): leadership, management processes (4): controlling, management ethics and corporate social responsibility (CSR), management and entrepreneurship, the role of statistics in management.

References :

1. Taylor III, Bernard W. 2015. Introduction to Management Science. Pearson Education.

2. Anderson, D. R., Dennis J. Sweeney, Thomas A. Willliams, Jeffrey D. Camm, James J.

Cochran. 2016. An Introduction to Management Science: Quantitative Approaches to Decision Making. Cengage Learning: Boston.

3. Pierron, X., Dennis J. Sweeney, David R. Anderson, Thomas A. Williams, Mik Wisniewski. 2017. An Introduction to Management Science: Quantitative Approaches to Decision Making. Cengage Learning: Boston.

METHOD OF STATISTICS I (MAS61121) 2-1 credits

Requirements : -

Description :

Statistics is a science of estimation, where it is expected that those learners will gain basic knowledge of how to solve problems based on probabilities and can estimate events based on samples.

86

Learning Goal :

After taking this course, students can understand the meaning of statistics, as well as between population and sample, as well as data, solve and arrange data so that they can draw conclusions from a group of data, know the functions and uses of descriptive statistics and data distribution, understand the theory of probabilities and their use, the mean of data distribution approached from the probability function, discrete and continuous distribution and their use, one-population interval estimation.

Subject of Course :

Definition of statistics and their usefulness, Measurement of data locations, Measures of data distribution, Basics of probabilities, Probabilities, Permutation and combination analysis, data distribution, The Expected value of single variables, The Expected value of multiple variables, Distribution of discrete probability, Bernoulli, Binomial, Hyper-geometric, and Poisson, continuous probability distribution, samples and populations, One-population interval estimation.

Learning Strategy :

Lectures, assignments, discussions, and tutorial class.

References :

1. Suntoyo Yitnosumarto, 1990. Dasar-dasar Statistika. Rajawali pers. Jakarta

2. Walpole R.E. and R.H. Myers, 1978. Probability and Statistics for Scientist and Engineers. McMillan. New York.

3. Feller, W., 1983. An introduction to probability theory and its applications, vol I dan II.

Wiley Eastern Ltd. New Delhi

4. Hogg. R. V. Dan Craig, A. T., 1978. Introduction to mathematical statistics, edisi ke 4, John Wiley & Sons. New York

5. Siegel, S. 1956. Non parametric statistics, McGraw-Hill Kogakushs. Ltd. Tokyo.

6. ,---, 1990. Percobaan: perancangan analisis dan interpretasinya.

Gramedia. Jakarta

ISLAMIC RELIGION (MPK60001) 3 credits

Requirements : -

Description :

Explain and discuss the Qur'an and Science about life events, human events, earth and universe events. Explain and discuss humans and religion which include: Human status and function. Explain and discuss God and human life programs. Explain and discuss the role of religion in human life. Explain about Aqeedah Islamiyyah. Definition and urgency of Tauhid, discussion about arkanul iman, the benefits of faith, Islamic sharia which includes understanding and sources. Understanding Moral al Islam which includes understanding aqhlaqul karimah and aqhlaqul madsumumah.

87 Learning Goal :

After taking Islamic religion courses, students can explain the relationship between religion, people, and science, and understand the important role of religion in personal, community, and state life.

Subject of Course :

Al-Qur'an and Science about life events, human events, earth and universe events. Humans and religion: human status and function. The purpose and program of human life. The role of religion in human life. Aqidah Islamiyyah. Understanding and urgency of Tauhid.

Discussion about arkanul iman, sharia islamiyyah, mu'amalah, aqhlaqul karimah, and aqhlaqul madsumummah.

Learning Strategy :

Lectures

References : -

CATHOLIC RELIGION (MPK60002) 3 credits

Requirements : -

Description :

Explaining and discussing the increase of understanding the concept of faith in the Church, church life, and socialize in order to develop the personal mentality of a Catholic scholar who can devote himself to the interests of Indonesian as an expression of his faith.

Learning Goal :

After taking the Catholic Religion course, students can explain the relationship between Religion, humans, and science and understand the important role of Religion in personal, community, and state life.

Subject of Course :

Increasing the understanding of the concept of faith in the Church, church life, and community life in the context of developing the personal mentality of a Catholic scholar who can devote himself to the interests of Indonesian as an expression of his faith.

Learning Strategy :

Lectures, practicum, quizzes, structural assignments, presentation, and class discussion.

References : -

CHRISTIAN RELIGION (MPK60003) 3 credits

Requirements : -

Description :

Explain and discuss: Developing the application of the foundations of Christian Faith to equip students to grow as whole people and new creations in Jesus Christ. Explain and discuss:

88

Increasing responsibility for Allah through sensitivity to others and their environment. Thus as an academic person can jump into the community with service based on service and for the honor and glory of Allah.

Learning Goal :

After taking a course on Protestant Christian Religion, students can explain the relationship between Religion, humans, and science and understand the important role of Religion in personal, community, and state life.

Subject of Course :

Developing the application of the foundations of Christian Faith to equip students to grow as whole people and new creations in Jesus Christ. Increase responsibility towards Allah through his sensitivity towards others and his environment. Thus as an academic person can jump into the community with service based on service and for the honor and glory of Allah.

Learning Strategy :

Lectures

References : -

HINDUISM RELIGION (MPK60004) 3 credits

Requirements : -

Description :

Explain and discuss the history of the development of Hinduism, the three basic frameworks of Hinduism; tatwa (philosophy), susila (ethics), yadya (ritual). Description of Wada, basic beliefs of Hinduism, panca srada, basic and purpose of human life, dharma sidharta, catur marga yoga, panca maha yadya, catur asram, catur warna.

Learning Goal :

After taking a course of Hinduism Religion, students can explain the relationship between Religion, humans, and science and understand the important role of Religion in personal, community, and state life.

Subject of Course :

The history of the development of Hinduism, the three basic frameworks of Hinduism; tatwa (philosophy), susila (ethics), yadya (ritual). Description of Wada, basic beliefs of Hinduism, panca srada, basic and purpose of human life, dharma sidharta, catur marga yoga, panca maha yadya, catur asram, catur warna.

Learning Strategy :

Lectures, practicum, quizzes, structural assignments, presentation, and class discussion.

References : -

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