| Date | Due | Topic | Chapter | ||
| Tu | Oct 26 | Introduction to KDD and Data Mining | 1 | ||
| Fr | Oct 29 | Data, Data Preprocessing, Measures of Similarity | 2 | ||
| Tu | Nov 02 | Data Exploration, Visualization, OLAP | 3 | ||
| Fr | Nov 05 | Proj1 |
Decision Trees
Project 1 in-class presentations | 4.1-4.3 | |
| Tu | Nov 09 | Model Evaluation | 4.5-4.6 | ||
| Fr | Nov 12 | Rule Based Classifiers | 5.1 | ||
| Tu | Nov 16 | Proj2 (with solutions) | Nearest-Neighbor Classifiers
Project 2 in-class presentations | 5.2 | |
| Fr | Nov 19 | Review and ** EXAM 1 **
Exam 1 topics & sample questions EXAM 1 solutions | |||
| Tu | Nov 23 | Proj3 (with solutions) | Association Rules
Project 3 in-class presentations | 6.1-6.3, 6.7 | |
| Tu | Nov 30 | Clustering | 8.1-8.4 | ||
| Fr | Dec 03 | Proj4 (with solutions) | Clustering
Project 4 in-class presentations | 8.5 | |
| Tu | Dec 07 | Anomaly Detection | 10 | ||
| Fr | Dec 10 | Review and ** EXAM 2 **
Exam 2 topics & sample questions EXAM 2 without solutions (electronic solutions are not available) | |||
| Tu | Dec 14 | Proj5 | Project 5 in-class presentations |