| Week | Date | Due | Topic | Chapters |
| 1 | Jan 18 | Introduction - Machine Learning | 1 | |
| Jan 20 | Introduction - Weka & Pre-processing | |||
| 2 | Jan 25 | Proj1 - Pre-processing | Decision Trees | 3 |
| Jan 27 | Project 1 presentations | |||
| 3 | Feb 01 | Neural Networks (I) | 4 | |
| Feb 03 | Proj2 - Decision Trees | Project 2 presentations | ||
| 4 | Feb 08 | Neural Networks (II) | 4 | |
| Feb 10 | Proj3.1 - Neural Networks (I) | Project 3.1 presentations | ||
| 5 | Feb 15 | Proj3.2 - Neural Networks (II) | Evaluating Hypotheses | 5 |
| Feb 17 | Project 3.2 presentations | |||
| 6 | Feb 22 | Evaluating Hypothesis | 5 | |
| Feb 24 | Proj4 - Evaluating Hypotheses | Project 4 presentations | ||
| 7 | Mar 01 | Bayesian Learning (I) | 6 | |
| Mar 03 | Bayesian Learning (II) | 6 | ||
| 8 | Mar 08 | CATCH UP | ||
| Mar 10 | Bayesian Learning (III) - K2 algorithm | 6 | ||
| 9 | Mar 15 | Proj5 Bayesian Learning | Project 5 presentations | |
| Mar 17 | Instance-based Learning | 8 | ||
| 10 | Mar 22 | Genetic Algorithms | 9 | |
| Mar 24 | Proj6 - Instance-based Learning | Project 6 presentations | ||
| 11 | April 05 | Proj7 - Genetic Algorithms | Project 7 presentations | |
| April 07 | Rule Learning (I) | 10 | ||
| 12 | April 12 | Rule Learning (II) | 10 | |
| Apr 14 | Analytical Learning | 11 | ||
| 13 | Apr 19 | Proj8 - Rule Learning | Project 8 presentations | |
| Apr 21 | Reinforcement Learning | 13 | ||
| 14 | Apr 26 | Proj9 - Final Project | Project 9 presentations | |
| Apr 28 | Project 9 presentations and final remarks |