MAT8034: Machine Learning

Southern University of Science and Technology, Spring 2026

Teaching Staff

	name	email	office hour
Instructor	Fang Kong	kongf@sustech.edu.cn	Mon 2-4 PM Room 315, Business School Building

News

Course Information

Lecture times: Mon 7:00-9:50 PM at Zhihua Building 108

Grading: Final exam (40%), project (40%), and assignments (20%)

References:

• CS229 Machine Learning by Stanford [Lecture notes link]
• Reinforcement Learning: An Introduction by Richard S. Sutton and Andrew G. Barto
• Pattern Recognition and Machine Learning by Christopher M. Bishop
• Elements of Statistical Learning by Travor Hastie, Robert Tibshirani, Jerome Friedman

Schedule

week	date	topic	materials
1	Feb 28	1 Introduction	pdf
		2 Linear Regression	pdf
2	Mar 2	3 Classification	pdf
		4 Generalized Linear Models	pdf
3	Mar 9	5 Generative Learning Algorithms	pdf
4	Mar 16	6 Deep Learning	pdf
5	Mar 23	7 Generalization and Regularization	pdf
		8 Clustering and K-means	pdf
6	Mar 30	9 EM Algorithms	pdf
		10 Markov Decision Processes (MDPs)	pdf
7	Apr 6
8	Apr 13	11 Markov Decision Processes (MDPs) 2	pdf