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Curricular information is subject to change
The successful student will be able to
- describe a mathematical model for simple two player games
- choose the optimum strategy for players of a zero sum game
- give examples of the use of game theory in the social, biological and political sciences
- calculate Nash equilibria for strategic games in normal form
- explain the contributions of von Neumann and Nash to the theory of games
Student Effort Type | Hours |
---|---|
Lectures | 24 |
Tutorial | 8 |
Specified Learning Activities | 24 |
Autonomous Student Learning | 48 |
Total | 104 |
Basic linear algebra (up to eigenvectors)
Caclulus of several real variables (gradient, Hessian matrix, saddle points)
Probability (expectation of a discrete random variable)
Analysis (continuity/compactness in R^n)
Description | Timing | Component Scale | % of Final Grade | ||
---|---|---|---|---|---|
Class Test: Midterm class test to happen close to the 2 week study period | Throughout the Trimester | n/a | Alternative linear conversion grade scale 40% | No | 15 |
Examination: End of Semester exam | 2 hour End of Trimester Exam | No | Alternative linear conversion grade scale 40% | No | 85 |
Resit In | Terminal Exam |
---|---|
Autumn | Yes - 2 Hour |
• Group/class feedback, post-assessment
Not yet recorded.
Lecture | Offering 1 | Week(s) - 20, 21, 22, 23, 24, 25, 26, 29, 30, 31, 32, 33 | Mon 13:00 - 13:50 |
Tutorial | Offering 1 | Week(s) - 21, 22, 23, 24, 25, 26, 29, 30, 31, 32, 33 | Wed 11:00 - 11:50 |
Lecture | Offering 1 | Week(s) - 20, 21, 22, 23, 24, 25, 26, 29, 30, 31, 32, 33 | Wed 13:00 - 13:50 |