Class # | Date | Lecture | Reading | Assignments | |
---|---|---|---|---|---|
Week 1 | |||||
1 | 1/10 | Introduction & Logistics | Ch. 1 | Group Members (Due 1/20), Project Proposal (Due 1/31) | |
2 | 1/12 | Knowing Your Data | Ch. 2.1-2.3 | ||
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 the class. | |
4 | 1/19 | Weka Practice | Bring your laptop to the class. | Weka exercise (Due: 1/26) | |
Week 3 | |||||
5 | 1/24 | Knowing Your Data: Measuring Data Similarity | Ch. 2.4 | ||
6 | 1/26 | Data Exploration | Ch. 3 | ||
Week 4 | |||||
7 | 1/31 | Classification: Decision Tree | 4.1-4.3 | Project on Classification (Due: 2/23) | |
8 | 2/2 | Classification: Decision Tree Pruning | 4.4-4.6 | ||
Week 5 | |||||
9 | 2/7 | Classification: Model Evaluation | 5.2-5.4 | ||
10 | 2/9 | Classification: KNN & Bayes | 5.4 | ||
Week 6 | |||||
11 | 2/14 | No class. Instructor will be traveling. | |||
12 | 2/16 | Classification: SVM & Ensemble Methods | 5.5-5.6 | ||
Week 7 | |||||
13 | 2/21 | Classification: Neural Network & Deep Learning | |||
14 | 2/23 | Association Analysis: Concepts | 6.1-6.3 | Project on Association (Due: 3/21) | |
Week 8 | |||||
15 | 2/28 | No class. | |||
16 | 3/2 | Association Analysis: Apriori | 6.4-6.6 | ||
Week 9 | |||||
17 | 3/7 | Association Analysis: FP-Growth | 6.7-6.8 | ||
18 | 3/9 | Association Analysis: Interestingness Measure | |||
Week 10 | |||||
19 | 3/14 | No Class in Spring Break | Final Project (Due: 4/25) | ||
20 | 3/16 | No Class in Spring Break | |||
Week 11 | |||||
21 | 3/21 | No class. Midterm Self-Review | |||
22 | 3/23 | Midterm Exam | |||
Week 12 | |||||
23 | 3/28 | Midterm Question Review | |||
24 | 3/30 | Clustering: Introduction, Partitioning Methods | 8.1-8.2 | Project 3: Clustering (Optional) (Due: 4/13) | |
Week 13 | |||||
25 | 4/4 | Clustering: Hierarchical Methods (Student Presentation) | 8.3-8.4 | ||
26 | 4/6 | Deep Learning: Convolutional Neural Networks (Student Presentation) | |||
Week 14 | |||||
27 | 4/11 | Deep Learning: Recurrent Neural Networks (Student Presentation) | |||
28 | 4/13 | Deep Learning: Tensorflow (Guest Lecture) | |||
Week 15 | |||||
29 | 4/18 | No class. Work on the Final Project. | |||
30 | 4/20 | No class. Work on the Final Project. | |||
Week 16 | |||||
31 | 4/25 | Final Project Presentation (6:25pm-10:00pm). |