SDSC3017 - Game Theory and Its Application | ||||||||||
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| * 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 | ||||||||||
Note: To pass the course, apart from obtaining a minimum of 40% in the overall mark, a student must also obtain a minimum mark of 30% in both continuous assessment and examination components. | ||||||||||
Detailed Course Information | ||||||||||
| SDSC3017.pdf | ||||||||||
