| Date | Topic | Readings | Assignments & Project |
| Jan 8 | Introduction & Course Overview |
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| Jan 10 | Background & Basics (Probability) | PDM Chapter 4.1-4.3, Appendix | Assignment 1 is out |
| Jan 15 | Background & Basics (Linear algebra, sampling) | PDM Chapter 4.7 | |
| Jan 17 | Background & Basics (Statistical inference, hypothesis testing) | PDM Chapter 4.4-4.6 | Assignment 1 due (Sunday Jan 20, 11:59pm) |
| Jan 22 | Elements of Data Mining Algorithm | ||
| Jan 24 | Data Exploration and Visualization | PDM Chapter 3 | |
| Jan 29 | Predictive Modeling Overview | PDM Chapter 6.1-6.3, 10.1-10.2 | |
| Jan 31 | Predictive Modeling: Naive Bayes | PDM Chapter 10.8 | Assignment 2 is out |
| Feb 5 | Predictive Modeling: Decision trees | PDM Chapter 5.2, 10.5 | |
| Feb 7 | Predictive Modeling: Nearest neighbor | PDM Chapter 10.3, 10.6, 11.4 | |
| Feb 12 | Predictive Modeling: Logistic regression, SVM | Assignment 2 due (Wednesday Feb 13, 11:59pm) | |
| Feb 14 | Predictive Modeling: Search & Optimization 1 | PDM Chapter 8.1-8.3 | |
| Feb 19 | Predictive Modeling: Search & Optimization 2 | Assignment 3 is out | |
| Feb 21 | Predictive Modeling: Neural network & Evaluation | PDM Chapter 10.10 | |
| Feb 26 | Predictive Modeling: Wrap-up | Final project guideline is out | |
| Feb 28 | Review | ||
| Mar 5 | In-class Midterm | ||
| Mar 7 | Predictive Modeling: Ensembles (Bagging & Boosting) | Assignment 3 due (Friday Mar 8 11:59pm) | |
| Mar 12 | No class (Spring break) | ||
| Mar 14 | No class (Spring break) | Final project proposal due (Sunday Mar 17, 11:59pm) | |
| Mar 19 | Predictive Modeling: Ensembles (Boosting & Random forest) | Assignment 4 is out | |
| Mar 21 | Guest Lecture: Deep Learning (Professor Yexiang Xue) | ||
| Mar 26 | Final project pitch | ||
| Mar 28 | Descriptive Modeling Overview | Assignment 4 due (Sunday Mar 31 11:59pm) | |
| Apr 2 | Descriptive Modeling: K-means & Hierarchical clustering | PDM Chapter 9.3-9.5 | |
| Apr 4 | Descriptive Modeling: GMM & Expectation maximization | PDM Chapter 9.2, 9.6 | Assignment 5 is out |
| Apr 9 | Descriptive Modeling: Evaluation | ||
| Apr 11 | Pattern Mining | PDM Chapter 11 | |
| Apr 16 | Guest Lecture: Causal Inference (Professor Elias Bareinboim) | Assignment 5 due (Sunday Apr 19 11:59pm) | |
| Apr 18 | No class (Project Day) | ||
| Apr 23 | Final project presentation (Session 1) | ||
| Apr 25 | Final project presentation (Session 2) | Final report due (Sunday Apr 28 11:59pm) |
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