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

^ L  ^ Date  ^ Lecturer  ^ Contents  ^ Material   ^ Recommended literature  ^
|   1|  20.2.|  FŽ  | General framework: agent and environment |   Chapter 1  |  |
|   2|  27.2.|  FŽ  | On-line concept learning  |    Chapter 2    |  |
|   3|   6.3.|  FŽ  | Batch concept learning  |   Chapter 3   |  |
|   4|  13.3.|  JK  | Learning Bayesian networks  |  {{:courses:b4m36smu:gpm_easy_show.pdf| GPM slides}}   |  |
|   5|  20.3.|  JK  | (lecture 4 cont'd)  |     |  |
|   6|  27.3.|  JK  | (lecture 4 cont'd)  |   |  |
|   7|   3.4.|  FŽ  | Learning first-order CNF's |  Chapter 4  |  |
|   8|  10.4.|  FŽ  | Learning first-order clauses  |  Chapter 4    |  |
|   9|  24.4.|  FŽ  | (lecture 9 cont'd)    |     |  |
|  10|**2.5.**|  FŽ  | Learning first-order Bayesian networks  |  (not part of textbook/exam)  |  |
|  11|**11.5.**|  JK  | Reinforcement learning  |  {{:courses:b4m36smu:smu_rl.pdf| RL slides}}  |  |
|  12|  15.5.|  JK  | (lecture 11 cont'd)  |     |  |
|  13|  22.5.|  FŽ  | finish lec 11 + application demos |     |  |

The primary study material is the {{courses:b4m36smu:smu-textbook.pdf}} which also includes hyperlinks to the two slide sets (GPM and RL) above. The last update is as of June 8, 2017 (no new material beyond the May-28 version, just errata). Please refresh your browser if your last access to it was prior to that date.