| Week | Date | Topic | Chapters |
| 1 | Jan 13 | Introduction - Machine Learning | 1 |
| Jan 16 | Introduction - Weka | ||
| 2 | Jan 20 | Proj1 | 1 |
| Jan 23 | Decision Trees | 3 | |
| 3 | Jan 27 | Proj2 - Decision Trees | 3 |
| Jan 30 | Neural Networks (I) | 4 | |
| 4 | Feb 03 | Proj3.1 - Neural Networks (I) | 4 |
| Feb 06 | Neural Networks (II) | 4 | |
| 5 | Feb 10 | Proj3.2 - Neural Networks (II) | 4 |
| Feb 13 | Evaluating Hypotheses | 5 | |
| 6 | Feb 17 | Proj4 - Evaluating Hypotheses | 5 |
| Feb 20 | Evaluating Hypothesis | 6 | |
| 7 | Feb 24 | Bayesian Learning (I) | 6 |
| Feb 27 | Bayesian Learning (II) | 6 | |
| 8 | Mar 10 | Proj5 Bayesian Learning | 6 |
| Mar 13 | Instance-based Learning | 8 | |
| 9 | Mar 17 | Proj6 - Instance-based Learning | 8 |
| Mar 20 | Genetic Algorithms | 9 | |
| 10 | Mar 24 | Proj7 - Genetic Algorithms | 9 |
| Mar 27 | Rule Learning (I) | 10 | |
| 11 | Mar 31 | Proj8.1 - Rule Learning (I) | 10 |
| Apr 3 | Rule Learning (II) | 10 | |
| 12 | Apr 7 | Proj8.2 - Rule Learning (II) | 10 |
| Apr 10 | Analytical Learning | 11 | |
| 13 | Apr 14 | Proj9 - Analytical Learning | 11 |
| Apr 17 | Reinforcement Learning | 13 | |
| 14 | Apr 21 | Proj10 | |
| Apr 24 | ** EXAM ** and Final Remarks |