| Date | Due | Topic | Chapter | ||
| Tu | Oct 24 | Introduction to KDD and Data Mining (Part I) | 1 | ||
| Th | Oct 26 | Introduction to KDD and Data Mining (Part II) | 1, 9 | ||
| Fr | Oct 27 | Input: Concepts, Instances, Attributes | 2, 7.1-7.2 | ||
| Mo | Oct 30 | Output: Knowledge Representation | 3 | ||
| Tu | Oct 31 | Decision Trees (I) | 4.3, 6.1 | ||
| Th | Nov 02 | Decision Trees (II) | 4.3, 6.1 | ||
| Fr | Nov 03 | HW1 | Evaluation of Patterns | 5.1, 5.2, 5.3 | |
| Mo | Nov 06 | Classification Rules (I) | 4.1, 4.4, 6.2 | ||
| Tu | Nov 07 | Proj1 | Classification Rules (II) | 4.1, 4.4, 6.2 | |
| Th | Nov 09 | Project 1 in-class Presentations | |||
| Fr | Nov 10 | Association Rules (I) | 4.5 | ||
| Mo | Nov 13 | Association Rules (II) | 4.5 | ||
| Tu | Nov 14 | HW2 | Numeric Predictions (I) | 4.6, 6.5, 5.8 | |
| Th | Nov 16 | Numeric Predictions (II) | 4.6, 6.5, 5.8 | ||
| Fr | Nov 17 | Proj2 | Instance-based Learning | 4.7, 6.4 | |
| Mo | Nov 20 | ** EXAM 1 ** | |||
| Tu | Nov 21 | Project 2 in-class Presentations | |||
| Mo | Nov 27 | Clustering (I) | 6.6 | ||
| Tu | Nov 28 | HW3 | Clustering (II) | 6.6 | |
| Th | Nov 30 | Summary Mining Methods, Domain Knowledge | 8.1, 8.2 | ||
| Fr | Dec 01 | Proj3 | Visualization | ||
| Mo | Dec 04 | Text Mining, Web Mining | 8.3 | ||
| Tu | Dec 05 | HW4 | Project 3 in-class Presentations | ||
| Th | Dec 07 | Research topics - Scientific Applications | |||
| Fr | Dec 08 | Proj4 | Research topics - Industrial Applications | ||
| Mo | Dec 11 | Catch up and Review
Bonus topic - Combining Multiple Models: Bagging and Boosting | |||
| Tu | Dec 12 | ** EXAM 2 ** | |||
| Th | Dec 14 | Project 4 in-class Presentations |