| Date | Topic | Readings | Assignments & Project |
| Aug 25 | Introduction & Course Overview |
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| Aug 27 | Background & Basics (Probability) | PDM Chapter 4.1-4.3, Appendix | Assignment 1 out |
| Sep 1 | Background & Basics (Linear algebra, sampling) | PDM Chapter 4.7 | |
| Sep 3 | Background & Basics (Statistical inference, hypothesis testing) | PDM Chapter 4.4-4.6 | Assignment 1 due (Sunday Sep 6, 11:59pm) |
| Sep 8 | Elements of Data Mining Algorithm | Project guideline out | |
| Sep 10 | Data Exploration and Visualization | PDM Chapter 3 | |
| Sep 15 | Predictive Modeling Overview | PDM Chapter 6.1-6.3, 10.1-10.2 | |
| Sep 17 | Predictive Modeling: Naive Bayes | PDM Chapter 10.8 | Assignment 2 out |
| Sep 22 | Predictive Modeling: Decision trees | PDM Chapter 5.2, 10.5 | |
| Sep 24 | Predictive Modeling: Nearest neighbor | PDM Chapter 10.3, 10.6, 11.4 | Project proposal due (Sunday Sep 27 11:59pm) |
| Sep 29 | Predictive Modeling: Logistic regression, SVM | Assignment 2 due (Wednesday Sep 30, 11:59pm) | |
| Oct 1 | Predictive Modeling: Search & Optimization 1 | PDM Chapter 8.1-8.3 | |
| Oct 6 | Predictive Modeling: Search & Optimization 2 | Assignment 3 out | |
| Oct 8 | Predictive Modeling: Neural network | ||
| Oct 13 | Predictive Modeling: Evaluation | PDM Chapter 10.10 | |
| Oct 15 | Predictive Modeling: Wrap-up | Project midterm report due (Sunday Oct 18 11:59pm) | |
| Oct 20 | No class (Online midterm exam) | ||
| Oct 22 | Predictive Modeling: Ensembles (Bagging & Boosting) | Assignment 3 due (Thursday Oct 22 11:59pm) | |
| Oct 27 | Predictive Modeling: Ensembles (Boosting & Random forest) | Assignment 4 out | |
| Oct 29 | Descriptive Modeling Overview | ||
| Nov 3 | Descriptive Modeling: K-means & Hierarchical clustering | PDM Chapter 9.3-9.5 | |
| Nov 5 | Descriptive Modeling: GMM & Expectation maximization | PDM Chapter 9.2, 9.6 | |
| Nov 10 | Descriptive Modeling: Evaluation | Assignment 4 due (Wednesday Nov 11 11:59pm) | |
| Nov 12 | Pattern Mining | PDM Chapter 13 | Assignment 5 out |
| Nov 17 | Interpretability issues of data mining | ||
| Nov 19 | Fairness issues of data mining | ||
| Nov 24 | No class (Thanksgiving break) | ||
| Nov 26 | No class (Thanksgiving break) | Assignment 5 due (Monday Nov 30 11:59pm) | |
| Dec 1 | Final project presentation (Session 1) | ||
| Dec 3 | Final project presentation (Session 2) | Project final report due (Sunday Dec 6 11:59pm) |
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