| Class | Date | Day | Topic |
| 1 | 8/26 | Thu | Statistics, Machine Learning, and Data Mining |
| 2 | 8/31 | Tue | Decision Trees: Recursive Partitioning, Splitting Rule |
| 3 | 9/02 | Thu | Decision Trees: Efficiency, Pruning, Converting Trees to Rules |
| 4 | 9/07 | Tue | Train/Test Set Splits |
| 5 | 9/09 | Thu | Artificial Neural Nets: Backpropagation |
| 6 | 9/14 | Tue | Artificial Neural Nets: Overfitting (Weight Decay, Early Stopping, and Network Size) |
| 7 | 9/16 | Thu | Artificial Neural Nets: Multitask Learning |
| 8 | 9/21 | Tue | Cross Validation |
| 9 | 9/23 | Thu | Feature Selection |
| 10 | 9/28 | Tue | Data Preprocessing: Attribute Transformation & Missing Values |
| 11 | 9/30 | Thu | K-Nearest Neighbor |
| 12 | 10/05 | Tue | Boosting & Bagging |
| 13 | 10/07 | Thu | Boosting & Bagging |
| --- | 10/12 | Tue | No Class -- Fall Break |
| 14 | 10/14 | Thu | Data Mining of Association Rules |
| 15 | 10/19 | Tue | |
| 16 | 10/21 | Thu | |
| 17 | 10/26 | Tue | |
| 18 | 10/28 | Thu | |
| 19 | 11/02 | Tue | |
| 20 | 11/04 | Thu | Agglomerative Clustering |
| 21 | 11/09 | Tue | K-Means Clustering & EM (Expectation Maximization) |
| 22 | 11/11 | Thu | Scaling Clustering to Large Data Sets |
| 23 | 11/16 | Tue | Fractal Dimension |
| 24 | 11/18 | Thu | Multi-dimensional Scaling |
| 25 | 11/23 | Tue | |
| --- | 11/25 | Thu | No Class -- Thanksgiving |
| 26 | 11/30 | Tue | Case Study: Pneumonia Risk Prediction (Prospective Analysis) |
| 27 | 12/02 | Thu | Case Study: Protein Folding (Clustering, Visualization, & Discovery) |
| --- | 12/16 | Thu | Final Exam (open book) Place: TBA |