| Week | Date of the lecture | Slides covered | Content |
|---|---|---|---|
| 1 | September 18, 2007 | Introduction / Lecture 1 | Introduction |
| 2 | September 21, 2007 | PPT / PDF | Quick revision of Probability Theory |
| 3 | October 2, 2007 | PPT / PDF | Concept Learning |
| 4 | October 5, 2007 | PPT / PDF | The Chi-square test |
| 5 | October 9, 2007 | PPT / PDF | Decision Trees (a) |
| 6 | October 12, 2007 | (PPT / PDF) (PPT / PDF) | Decision Trees (b) Information Theory Basics |
| 7 | October 16, 2007 | 1st set of papers to review | Previous Lecture on IT Discuss critical reviews |
| 8 | October 19, 2007 | PPT / PDF | Neural Networks (a) |
| 9 | October 23, 2007 | Finish previous lecture | Neural Networks (b) |
| 10 | October 26, 2007 | PPT / PDF | Evaluating Hypotheses |
| 11 | October 30, 2007 | PPT / PDF | Bayesian Learning |
| 12 | November 4, 2007 | PPT / PDF | Ted Pedersen's tutorial on Expectation-Maximization |
| 13 | November 9, 2007 | Finish Bayesian Learning | Bayesian Networks |
| 14 | November 13, 2007 | PPT / PDF | Instance-based learning |
| 15 | November 16, 2007 | Projects / Slides | This is going to be a lecture on the course projects |
| 16 | November 23, 2007 | PPT / PDF | Learning Sets of Rules |
| 17 | November 27, 2007 | Finish previous lecture | Learning Sets of Rules (b) |
| 18 | November 30, 2007 | PPT / PDF | A lightweight introduction to Information Retrieval. |
| 19 | December 4, 2007 | PPT / PDF | Support Vector Machines (a) |
| 20 | December 7, 2007 | Finish previous slides | Support Vector Machines (b) |
| 21 | December 11, 2007 | PPT / PDF | Clustering Techniques |
| 22 | December 14, 2007 | PPT / PDF | Introduction to Data Mining |
| 23 | December 18, 2007 | - | Discussion about projects |