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| PRE-REQUISITE | (DSAA 2011 OR DSAA 2012 OR AIAA 3111) AND (UFUG 2102 OR UFUG 2103) AND UFUG 2104 |
|---|---|
| EXCLUSION | AIAA 2711 |
| DESCRIPTION | Topics include: advanced linear algebra, advanced geometry (e.g., manifold), vector calculus, advanced mathematics models (regression, latent-variable model) etc.. Also includes topics related to discrete mathematics (e.g., enumeration techniques, basic number theory, logic and proofs, recursion and recurrences, probability theory and graph theory. The approach of this course is specifically computer science application oriented.) |
| Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
|---|---|---|---|---|---|---|---|---|
| L01 (6598) | We 01:30PM - 04:20PM | Rm 233, W1 | DING, Ningning | 40 | 31 | 9 | 0 | |
| T01 (6599) | We 04:30PM - 05:20PM | Rm 233, W1 | DING, Ningning | 40 | 31 | 9 | 0 |
| DESCRIPTION | Game theory offers powerful insights into strategic decision-making, with promising applications in fields such as human-AI interaction, multi-agent systems, adversarial machine learning, and social networks. This course introduces the core concepts of game theory, focusing on the study of interactions among rational decision-makers. Students will explore foundational topics such as utility, Nash equilibrium, dominant strategies, mixed strategies, and both static and dynamic games. Through practical examples, the course will demonstrate how game theory is applied to optimize strategies in artificial intelligence, network systems, economics, and our daily life. By the end of the course, students will be equipped to analyze and model interactions, making it a vital tool for modern problem-solving in AI, data science, and beyond. |
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| Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
|---|---|---|---|---|---|---|---|---|
| L01 (6734) | Th 01:30PM - 04:20PM | Rm 122, E1 | DING, Ningning | 71 | 51 | 20 | 0 |