| Week | Date | Due | Topic | Chapters |
| 1 | Jan 16 | Introduction - Machine Learning | 1 | |
| Jan 18 | Introduction - Weka & Pre-processing | |||
| 2 | Jan 23 | Decision Trees | 3 | |
| Jan 25 | Proj1 - Pre-processing | Project 1 presentations | ||
| 3 | Jan 30 | Neural Networks (I) | 4 | |
| Feb 01 | Proj2 - Decision Trees | Project 2 presentations | ||
| 4 | Feb 06 | Neural Networks (II) | 4 | |
| Feb 08 | Proj3.1 - Neural Networks (I) | Project 3.1 presentations | ||
| 5 | Feb 13 | Evaluating Hypotheses | 5 | |
| Feb 15 | Proj3.2 - Neural Networks (II) | Project 3.2 presentations | ||
| 6 | Feb 20 | Evaluating Hypothesis | 5 | |
| Feb 22 | Proj4 - Evaluating Hypotheses | Project 4 presentations | ||
| 7 | Feb 27 | Bayesian Learning (I) | 6 | |
| Mar 01 | Bayesian Learning (II) | 6 | ||
| 8 | Mar 06 | Bayesian Learning (III) - K2 algorithm | ||
| Mar 08 | The EM Algorithm | 6 | ||
| 9 | Mar 13 | Proj5 Bayesian Learning | Project 5 presentations | |
| Mar 15 | Instance-based Learning | 8 | ||
| 10 | Mar 20 | ** NO CLASS TODAY ** | ||
| Mar 22 | Proj6 - Instance-based Learning | Project 6 presentations | ||
| 11 | Mar 27 | Genetic Algorithms (I) | 9 | |
| Mar 29 | Genetic Algorithms (II) | 9 | ||
| 12 | April 03 | Rule Learning (I) | 10 | |
| April 05 | Proj7 - Genetic Algorithms | Project 7 presentations | ||
| 13 | April 10 | Rule Learning (II) | 10 | |
| Apr 12 | Proj8 - Rule Learning | Project 8 presentations | ||
| 14 | Apr 17 | Reinforcement Learning | 13 | |
| Apr 19 | Proj9 - Final Project | Project 9 presentations | ||
| 15 | Apr 24 | Project 9 presentations (cont.) and final remarks |