STA303: Artificial Intelligence

Southern University of Science and Technology, Fall 2025

Teaching Staff

	name	email	office hour
Instructor	Fang Kong	kongf@sustech.edu.cn	Wed 1:00-3:00 PM Room 315, Business School Building
Chief TA	Bochao Li	12531179@mail.sustech.edu.cn	Wed 10:20-12:00 AM Room 344, Business School Building
TA	Minghan Wang	12532247@mail.sustech.edu.cn	Wed 10:00-12:00 AM Room 344, Business School Building
	Kongchang Zhou	12548015@mail.sustech.edu.cn	Wed 10:00-12:00 AM Room 344, Business School Building

Course Information

Lecture times: Thur 14:00-16:00 at Room 111, Lecture Hall 1
Lab times: Thur 16:00-18:00 at Room 507, Lecture Hall 3

Grading: Final exam (30%), project (25%), assignments (40%), and attendance (5%)

References:

• CS188 Introduction to Artificial Intelligence by Berkeley
• Artificial Intelligence: A Modern Approach by Stuart Russell and Peter Norvig
• Reinforcement Learning: An Introduction by Richard S. Sutton and Andrew G. Barto
• CS229 Machine Learning by Stanford [Lecture notes link]

Schedule

week	date	topic	materials
1	Sept 11	1 Introduction	pdf
		2 Uninformed Search	pdf
2	Sept 18	3 Informed Search	pdf
3	Sept 25	4 Games: Minimax and Alpha-Beta Pruning	pdf
4	Oct 2
5	Oct 9	5 Games: Uncertainty	pdf
6	Oct 16	6 Markov Decision Processes	pdf
7	Oct 23	7 Markov Decision Processes II	pdf
8	Oct 30	8 Reinforcement Learning	pdf
9	Nov 6	9 Reinforcement Learning II	pdf
10	Nov 13	10 Machine Learning Basics	pdf
11	Nov 20	11 Deep Learning	pdf
12	Nov 27	12 Generalization	pdf
13	Dec 4	13 Deep RL (part 1)	pdf
14	Dec 11	13 Deep RL (part 2)	pdf
15	Dec 18	Final Review	pdf