courses:smu:lectures [CourseWare Wiki]

The lectures are given in English to all students.

L	Date	Lecturer	Contents	Material
1	19.2.	FŽ	General framework: agent and environment	Chapter 1
2	26.2.	FŽ	On-line concept learning	Chapter 2
3	5.3.	FŽ	Batch concept learning	Chapter 3
4	12.3.	JK	Learning Bayesian networks	GPM slides
5	19.3.	JK	(lecture 4 cont'd)
6	26.3.	JK	(lecture 4 cont'd)
	2.4.		Easter Monday
7	9.4.	FŽ	Learning first-order CNF's	Chapter 4
8	16.4.	FŽ	Learning first-order clauses	Chapter 4
9	23.4.	FŽ	(lecture 9 cont'd)
10	30.4.	FŽ	Learning first-order Bayesian networks	(not part of textbook/exam)
11	7.5.	JK	Reinforcement learning	RL slides
12	14.5.	JK	(lecture 11 cont'd)
13	21.5.	FŽ	TBA

The primary study material is the smu-textbook-v2018.pdf, which grows as the course goes.