CS 461/561: Introduction to Data Science
Prof. Jason Sauppe | Spring 2020This page contains a course schedule for CS 461/561. Rows in gray are tentative and will be updated as the course progresses. Other course content can be found on Canvas.
| Content | Week | Day | Date | In-Class | Reading | Assignments |
|---|---|---|---|---|---|---|
| Intro | 01 | Mon. | 01/27 | Syllabus | ||
| Wed. | 01/29 | 1.1, 1.2 | ||||
| Fri. | 01/31 | 1.3, 1.4 | ||||
| Review of Probability & Random Variables |
02 | Mon. | 02/03 | 2.1 | Assignment 0 available | |
| Wed. | 02/05 | 5.1 | ||||
| Fri. | 02/07 | 2.2 | ||||
| Review of Statistics & Data Collection |
03 | Mon. | 02/10 | 2.3 | ||
| Wed. | 02/12 | 3.1, 3.2 | Assignment 0 due | |||
| Fri. | 02/14 | 3.2.2 | ||||
| Intro to Pandas & Data Cleaning |
04 | Mon. | 02/17 | |||
| Wed. | 02/19 | 3.3 | Assignment 01 available | |||
| Fri. | 02/21 | |||||
| Data Visualization | 05 | Mon. | 02/24 | 6.1, 6.2, 6.4 | ||
| Wed. | 02/26 | 6.3 | ||||
| Fri. | 02/28 | Visualization Lab | ||||
| Linear Regression & Linear Algebra |
06 | Mon. | 03/02 | Work Day | ||
| Wed. | 03/04 | 9.1 | ||||
| Fri. | 03/06 | 8.1, 8.2 | Assignment 01 due | |||
| Linear Regression | 07 | Mon. | 03/09 | 9.4 | Project available | |
| Wed. | 03/11 | 9.2 | ||||
| Fri. | 03/13 | 7.1-7.3, 7.4.4 | ||||
| Spring Break | Mon. | 03/16 | —No Class— | |||
| Wed. | 03/18 | —No Class— | ||||
| Fri. | 03/20 | —No Class— | ||||
| Spring Break 2 | 08 | Mon. | 03/23 | —Class Cancelled— | ||
| Wed. | 03/25 | —Class Cancelled— | ||||
| Fri. | 03/27 | —Class Cancelled— | ||||
| Regularization & Cross-Validation |
09 | Mon. | 03/30 | 9.5 | ||
| Wed. | 04/01 | 7.5 | ||||
| Fri. | 04/03 | Regression Lab | Project proposal due; Assignment 02 available | |||
| Logistic Regression & Classification |
10 | Mon. | 04/06 | Bias & Variance Lab | ||
| Wed. | 04/08 | 9.6 | ||||
| Fri. | 04/10 | 9.7 | ||||
| Evaluating Classifiers & k-Nearest Neighbors |
11 | Mon. | 04/13 | 7.4 | Tutorial proposal due | |
| Wed. | 04/15 | 10.1, 10.2 | ||||
| Fri. | 04/17 | Work Day | Progress report due | |||
| Clustering & Dimensionality Reduction |
12 | Mon. | 04/20 | 10.5 | Assignment 02 due | |
| Wed. | 04/22 | |||||
| Fri. | 04/24 | 8.3-8.5 | ||||
| Machine Learning | 13 | Mon. | 04/27 | 11 (intro), 11.5 | ||
| Wed. | 04/29 | 11.1 | ||||
| Fri. | 05/01 | 11.2, 11.3 | ||||
| Machine Learning & Big Data |
14 | Mon. | 05/04 | 11.4 | ||
| Wed. | 05/06 | 11.6 | ||||
| Fri. | 05/08 | 12.1-12.6 | Tutorial and Final project due | |||
| Finals Week | 15 | Fri. | 05/15 | Tutorial evaluations due | ||