Course Schedule
Schedule
Note this tentative schedule is subject to change. Please check the schedule regularly.
Last updated: 01/17/2024
| Week | Starting | Topics | Reading | Notes |
|---|---|---|---|---|
| 1 | 1/15/24 | M: MLK Day; No Classes | Tue: HW1 out. | |
| W: Lec1: Course introduction | ||||
| F: Lec2: Introduction to data science | Week 1-1 | |||
| 2 | 1/22/24 | M: Lec3: Review Python for data science | Week 2-1 | |
| W: Lec4: Numpy arrays and array indexing | Week 2-2 | |||
| F: Lec5: Numpy array operations | Week 2-3 | |||
| 3 | 1/29/24 | M: Lab1: Numpy | Week 3-1 | Mon: HW 1 due; HW2 out; |
| W: Lec6: Pandas - Series and DataFrame | Week 3-2 | Mon: Team formation due | ||
| F: Lec7: Pandas - groupby, concat, merge | Week 3-3 | |||
| 4 | 2/5/24 | M: Lec8: Pandas - IO and methods | Week 4-1 | Mon: Paper reading open. |
| W: PE1: Pandas exercises | Week 4-2 | |||
| F: Lab2: Pandas | Week 4-3 | |||
| 5 | 2/12/24 | M: Lec9: Data visualization - Matplotlib, Pandas | Week 5-1 | Mon: HW2 due; HW3 out. |
| W: Lec10: Data visualization - Seaborn | Week 5-2 | |||
| F: Lec11: Data visualization - Plotly | Week 5-3 | |||
| 6 | 2/19/24 | M: Lab3: Visualization | Week 6-1 | Mon: Project proposal due. |
| W: Lec12: Module 1 summary and exam 1 preview | Week 6-2 | |||
| F: Exam 1 | ||||
| 7 | 2/26/24 | M: Lec13: Basic statistics | Week 7-1 | |
| W: Lec14: More on Statistics and probability | Week 7-2 | |||
| F: Lec15: Intro to machine learning | Week 7-3 | |||
| 8 | 3/4/24 | M: Spring Break; No Classes | Mon: HW 3 due. | |
| W: Spring Break; No Classes | ||||
| F: Spring Break; No Classes | ||||
| 9 | 3/11/24 | M: Lec16: Linear regression | Week 9-1 | |
| W: PE2: Linear regression exercises | Week 9-2 | |||
| F: Lec17: Logistic regression Part 1 | Week 9-3 | |||
| 10 | 3/18/24 | M: Lec18: Logistic regression Part 2 | Week 10-1 | Mon: Paper reading due; HW4 out. |
| W: Lec19: K nearest neighbors | Week 10-2 | |||
| F: PE3: Classification | Week 10-3 | |||
| 11 | 3/25/24 | M: Lab4: Classification | Week 11-1 | Mon: Project milestone due. |
| W: Project milestone demo | ||||
| F: College Holiday, No Classes | ||||
| 12 | 4/1/24 | M: Lec20: K-means clustering | Week 12-1 | Mon: HW4 due; HW5 out. |
| W: PE3: K-means exercises | Week 12-2 | |||
| F: Lab5: Clustering | Week 12-3 | |||
| 13 | 4/8/24 | M: Lec21: Dimensionality reduction | Week 13-1 | |
| W: PE4: PCA | Week 13-2 | |||
| F: Lec22: Support vector machine | Week 13-3 | |||
| 14 | 4/15/24 | M: PE5: SVM | Week 14-1 | Mon: HW5 due. |
| W: Lab6: SVM | Week 14-2 | |||
| F: Lec23: Module 2 summary and exam 2 preview | Week 14-3 | |||
| 15 | 4/22/24 | M: Exam 2 | Mon: Paper presentation due. | |
| W: Paper presentation group 1 | ||||
| F: Paper presentation group 2 | 04/28 midnight: Final project due | |||
| 16 | 4/29/23 | M: Final project presentation group 1 | ||
| W: Final project presentation group 2 | ||||
| F: No Class | ||||
| 17 | 5/6/23 | M: No Class | ||
| Tue 5/7: 11:00 AM - 2:00 PM Presentation group 3 | ||||
| F: Enjoy your summer break! |