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SDSC3017 - Game Theory and Its Application

Offering Academic Unit
School of Data Science
Credit Units
3
Course Duration
One Semester
Pre-requisite(s)
Course Offering Term*:
Semester B 2022/23 (Tentative)

* The offering term is subject to change without prior notice
 
Course Aims

This course aims to introduce game theory with applications in artificial intelligence. Students will learn how to think and act strategically at a system level. Students will master the basic ideas of games including dominance, backward induction, Nash equilibrium, etc. At the end of this course, students will be able to use game theory to solve simple practical AI problems with course project. Students will be familiar with latest applications of game theory in various AI topics.


Assessment (Indicative only, please check the detailed course information)

Continuous Assessment: 60%
Examination: 40%
Examination Duration: 2 hours
 
Detailed Course Information

SDSC3017.pdf

Useful Links

School of Data Science