| Week | Date | Due | Topic | Chapters |
| 1 | Th Jan 13 | Introduction to Machine Learning | 1 | |
| Tu Jan 18 | Introduction to Weka | |||
| 2 | Th Jan 20 | Data Preprocessing | ||
| Tu Jan 25 | Introduction to Matlab. HL234 (Design Studio) | |||
| 3 | Th Feb 03 | Decision Trees (I) | 3 | |
| Tu Feb 08 | Proj1 - Pre-processing | Project 1 presentations | ||
| 4 | Th Feb 10 | Decision Trees (II) | 3 | |
| Tu Feb 15 | Neural Networks (I) | 4 | ||
| 5 | Th Feb 17 | Proj2 - Decision Trees | Project 2 presentations | |
| Tu Feb 22 | Neural Networks (II) | 4 | ||
| 6 | Th Feb 24 | Evaluating Hypothesis (I) | 5 | |
| Tu Mar 01 | Evaluating Hypothesis (II) | 5 | ||
| 7 | Th Mar 03 | Proj3 - Neural Networks | Project 3 presentations | |
| Tu Mar 15 | Proj4 - Evaluating Hypotheses | Project 4 presentations | ||
| 8 | Th Mar 17 | Bayesian Learning (I) | 6 | |
| Tu Mar 22 | Bayesian Learning (II) | 6 | ||
| 9 | Th Mar 24 | Bayesian Learning (III) - K2 algorithm | 6 | |
| Tu Mar 29 | Proj5 Bayesian Learning | Project 5 presentations | ||
| 10 | Th Mar 31 | Instance-based Learning | 8 | |
| Tu Apr 05 | Genetic Algorithms (I) | 9 | ||
| 11 | Th Apr 07 | Proj6 - Instance-based Learning | Project 6 presentations | |
| Tu Apr 12 | Genetic Algorithms (II) | 9 | ||
| 12 | Th Apr 14 | Rule Learning (I) | 10 | |
| Tu Apr 19 | Proj7 - Genetic Algorithms | Project 7 presentations | ||
| 13 | Th Apr 21 | Rule Learning (II) | 10 | |
| Tu Apr 26 | Reinforcement Learning | 13 | ||
| 14 | Th Apr 28 | Proj8 - Rule Learning | Project 8 presentations | |
| Tu May 03 | Project 8 presentations (cont.) and final remarks |