{{:courses:b4m36smu:sample-exam.pdf|}}
==== Lectures =====
**The lectures are given in English to all students.**

^ L  ^ Date  ^ Lecturer  ^ Contents  ^ Material   ^ Recommended literature  ^
|   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  |  {{:courses:b4m36smu:gpm_easy_show.pdf| 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  |  {{:courses:b4m36smu:smu_rl.pdf| RL slides}}  |  |
|  12|  14.5.|  JK  | (lecture 11 cont'd)  |     |  |
|  13|  21.5.|  FŽ  | TBA |     |  |

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