| Class # | Date | Lecture | Reading | Assignments |
|---|---|---|---|---|
| Week 1 | ||||
| 1 | 1/10 | Introduction & Logistics | Ch. 1.1-1.4 | |
| 2 | 1/12 | Data Mining Applications | Ch. 1.5-1.8 | Project 0 (Due 1/19) |
| Week 2 | ||||
| 3 | 1/17 | Weka | 1. Introduction to WEKA 2. Weka (Tutorial) (Data Processing with Weka) 3. Datasets in Weka Arff Formats |
Bring your laptop to class. |
| 4 | 1/19 | Weka Practice | Bring your laptop to class. | Weka exercise on Moodle (Due: 1/26) |
| Week 3 | ||||
| 5 | 1/24 | Understanding Data | Ch. 2.1-2.3 | |
| 6 | 1/26 | Understanding Data: Measuring Data Similarity | 2.4 | Homework (Due 2/9) |
| Week 4 | ||||
| 7 | 1/31 | Data Preprocessing | Ch. 3.1-3.3 | |
| 8 | 2/2 | Data Preprocessing | Ch. 3.4-3.6 | |
| Week 5 | ||||
| 9 | 2/7 | Mining Frequent Patterns | 5.1-5.2 | |
| 10 | 2/9 | Association Rule Mining: Apriori Algorithm | 5.3 | Project 1 (Due: 2/21) |
| Week 6 | ||||
| 11 | 2/14 | No class. Instructor will be traveling. | ||
| 12 | 2/16 | Association Rule Mining: FP Growth | 5.3 | |
| Week 7 | ||||
| 13 | 2/21 | Assocation Rule Mining: Interestingness Measures | 6.1-6.3 | |
| 14 | 2/23 | Classification: Decision Tree | 6.4 | Project 2 (Due: 3/16) |
| Week 8 | ||||
| 15 | 2/28 | No class. | 6.6 | |
| 16 | 3/2 | Classification: Bayesian | 6.9 | |
| Week 9 | ||||
| 17 | 3/7 | Classification: Neural Networks, Support Vector Machines & Nearest Neighbors | 6.12-15 | |
| 18 | 3/9 | Classification: Evaluation Metrics | ||
| Week 10 | ||||
| 19 | 3/14 | No Class in Spring Break | ||
| 20 | 3/16 | No Class in Spring Break | ||
| Week 11 | ||||
| 21 | 3/21 | No class. Midterm Self-Review. | ||
| 22 | 3/23 | Midterm Exam | Final Project (Due: 4/27) | |
| Week 12 | ||||
| 23 | 3/28 | Midterm Question Review | Project 3: Clustering (Optional) (Due: 4/13) | |
| 24 | 3/30 | Deep Learning | ||
| Week 13 | ||||
| 25 | 4/4 | Clustering: Introduction, Partitioning Methods (Student Presentation) | 10.1-2 | |
| 26 | 4/6 | Clustering: Hierarchical Methods (Student Presentation) | 10.3 | |
| Week 14 | ||||
| 27 | 4/11 | Clustering: Density-based Methods (Student Presentation) | 10.4 | |
| 28 | 4/13 | Deep Learning: TensorFlow (Guest Lecture) | 12.1-12.3 | |
| Week 15 | ||||
| 29 | 4/18 | No class. Work on Final Project. | ||
| 30 | 4/20 | No class. Work on Final Project. | ||
| Week 16 | ||||
| 31 | 4/27 | Final Project Presentation (6:25pm-10:00pm) | ||