Courses Master Display 2015-2016

Course Description To PDF
Course title Game Theory and Optimisation
Course code EBC4188
ECTS credits 6,5
Assessment Whole/Half Grades
Period
Period Start End Mon Tue Wed Thu Fri
1 31-8-2015 23-10-2015 X X
Level Advanced
Coordinator Dries Vermeulen, Tobias Harks
For more information: d.vermeulen@maastrichtuniversity.nl; t.harks@maastrichtuniversity.nl
Language of instruction English
Goals
This course provides a comprehensive overview of optimization techniques such as linear and integer programming, and non-linear programming, with applications in game theory and economics. Students learn optimization techniques from mathematics and operations research, and how to apply them in models from game theory and economic theory.
Description
Topics in optimization include duality theorems in LP, branch and bound and cutting plane algorithms in IP, and Kuhn-Tucker conditions for NLP.

Topics in game theory and economics include computation of Nash equilibrium and refinements, selfish routing in networks and the price of anarchy, and non-emptiness of the core.
Literature
The course will be based on chapters from standard textbooks plus additional readers.

Literature :
Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest and Clifford Stein : Introduction to Algorithms, MIT Press.
Hans Peters : Game Theory : A Multi-Leveled Approach, Springer-Verlag.
David Luenberger and Yinyu Ye : Linear and Nonlinear Programming.

Recommended literature for background reading :
Christos H. Papadimitriou and Kenneth Steiglitz : Combinatorial Optimization: Algorithms and Complexity.
Laurence A. Wolsey and George L. Nemhauser : Integer and Combinatorial Optimization, John Wiley & Sons.
Prerequisites
Only Master students can take this course. Exchange students need to have obtained a BSc degree in Economics, International Business, Econometrics, or a related topic. Familiarity with the basic concepts of optimization and linear programming will be helpful. A solid basis in mathematics and calculus is also recommendable.
Teaching methods (indicative; course manual is definitive) PBL / Lecture
Assessment methods (indicative; course manual is definitive) Written Exam
Evaluation in previous academic year For the complete evaluation of this course please click "here"
This course belongs to the following programmes / specialisations
Master Business Research Track OR Track Operation Research Compulsory Courses
Master Econometrics and OR Actuarial Science
Master Econometrics and OR Econometrics
Master Econometrics and OR Mathematical Economics
Master Econometrics and OR Operations Research
Master Economic and Financial Research Track Econometrics Electives
Master Economic and Financial Research Track Econometrics Track Econometrics Core Courses
Master Economic and Financial Research Electives