| Week | Date | Due | Topic | Chapters |
| 1 | Jan 20 | Introduction - Machine Learning | 1 | |
| Jan 22 | Introduction - Weka | |||
| 2 | Jan 27 | Data Preprocessing | ||
| Jan 29 | Proj1 - Pre-processing | Project 1 presentations | ||
| 3 | Feb 03 | Decision Trees (I) | 3 | |
| Feb 05 | Decision Trees (II) | 3 | ||
| 4 | Feb 10 | Proj2 - Decision Trees | Project 2 presentations | |
| Feb 12 | Neural Networks (I) | 4 | ||
| 5 | Feb 17 | Neural Networks (II) | 4 | |
| Feb 19 | Neural Networks (III) | 4 | ||
| 6 | Feb 24 | Proj3 - Neural Networks | Project 3 presentations | |
| Feb 26 | Evaluating Hypothesis (I) | 5 | ||
| 7 | Mar 03 | Evaluating Hypothesis (II) | 5 | |
| Mar 05 | Proj4 - Evaluating Hypotheses | Project 4 presentations | ||
| 8 | Mar 10 | Bayesian Learning (I) | 6 | |
| Mar 12 | Bayesian Learning (II) | 6 | ||
| 9 | Mar 17 | Bayesian Learning (III) - K2 algorithm | 6 | |
| Mar 19 | Proj5 Bayesian Learning | Project 5 presentations | ||
| 10 | Mar 24 | Instance-based Learning | 8 | |
| Mar 26 | Proj6 - Instance-based Learning | Project 6 presentations | ||
| 11 | Mar 31 | Genetic Algorithms (I) | 9 | |
| Apr 02 | Genetic Algorithms (II) | 9 | ||
| 12 | April 07 | Proj7 - Genetic Algorithms | Project 7 presentations | |
| April 09 | Rule Learning (I) | 10 | ||
| 13 | April 14 | Rule Learning (II) | 10 | |
| Apr 16 | Reinforcement Learning | 13 | ||
| 14 | Apr 21 | Proj8 - Rule Learning | Project 8 presentations | |
| Apr 23 | Project 8 presentations (cont.) and final remarks | |||
| 15 | Apr 28 | SPARE CLASS | ||
| Apr 30 | SPARE CLASS |