Module Handbook-Mathematics-Universitas Brawijaya
Module Handbook
Module Name: Game Theory
Module Level: Bachelor
Abbreviation, if Applicable:
MAM62408 Sub-Heading, if
Applicable:
- Courses included in the module, if applicable
Game Theory Semester/term: 7th/1st year
Module Coordinator(s): Chair of the Lab. Industrial and Finance Mathematics Lectures(s) Sobri Abusini, M.T.
Language Indonesian
Classification within the curriculum
Elective Studies Teaching format / class
hours per week during semester:
100 minutes lectures per week.
Workload: Total workload is 3 ECTS, which consists of 1.67 hours lectures, 2 hours structured activities, 2 hours independent learning, 16 week per semester, and a total 90.67 hours per semester including mid exam and final exam.
Credit Points: 2
Requirements according to the examination regulations:
Students have taken Game Theory course (MAM62408), have attendance at least 80%, and have the examination card when the course is stated on.
Recommended prerequisties
Students have taken Operation Research I course (MAM61403) and have participated in the final exam on the module.
Learning
goals/competencies or
Module
objectives/intended learning outcomes
After completing this course the student should have
CLO1: able to understand the basic concepts of game theory CLO2: able to determine Strategy in Game Theory
CLO3: able to complete Pure Strategy and Mixed Strategy CLO4: able to calculate the Optimal Strategy with Nash Balance Content: 1. Introduction to Game Theory: History, understanding, general
provisions and elements of Game Theory
2. Strategy in Game Theory: Maximum criteria - minimaks, pure strategy, mixed strategy
3. Mixed Strategy: Domination, 2 x n and m x 2 game settlement, using the combination method, graphical method, and m x n game settlement with Brown method, m x n game settlement with the simplex method
4. Nash balance, characteristic function and Shapley Value
Module Handbook-Mathematics-Universitas Brawijaya
Study / exam
achevements:
The final mark will be weighted as follows:
No. Assessment methods (component, activities). Weight
1. Assignment 20 %
2. Quiz 20 %
3. Mid examination 30 %
4. Final examination 30 %
Final grades is defined as follow: A : 80 < Final Mark ≤ 100 B+ : 75 < Final Mark ≤ 80
B : 69 < Final Mark ≤ 75
C+ : 60 < Final Mark ≤ 69
C : 55 < Final Mark ≤ 60
D+ : 50 < Final Mark ≤ 55
D : 44 < Final Mark ≤ 50
E : 0 ≤ Final Mark ≤ 44
Forms of Media Slides and LCD projectors, laptop/ computer, whiteboards.
Learning Methods Lecture
Literature 1. Giocomo Bonanno, 2018, Game Theory, 2nd Edition.
2. Jun Tanimoto, 215, Fundamentals of Evolutionary Game Theory and Its Application. Springer – Japan.
3. Paul R. Thie, Gerard E. Keough, 2008, An Introduction to Linear Programming and Game Theory, Wiley & Sons, Inc.,Publication.
4. Philip D. Straffin, Game Theory and Strategy, The Mathematicals Association of America, 2004.
5. Qiming Huang, 2010, Game Theory, Sciyo, Croatia.
6. Sri Mulyono, 2002, Operation Research, Jakarta: Publisher Fakulty of Economics, University of Indonesia.
7. Taha, Hamdy A., Operation Research Volume 1, Jakarta:
Binarupa Aksara, 1996.
8. WWaynel Winston, 1995, Introduction to Mathematical Programming, Duxbury Press, Belmont California.
Notes:
