Schedule
Following is a tentative course schedule. The Date column lists the Monday of each week.
Each class will have readings and exercises before class; see class meeting notes for more details.
| Week | Date | Topic | Due |
|---|---|---|---|
21 Aug |
Intro & Setup (No class Monday — eclipse) |
||
28 Aug |
Probability, Statistics, and Code |
||
4 Sep |
Sampling Distributions |
||
11 Sep |
Working with Code and Data |
||
18 Sep |
Modeling and the DS Process |
||
6 |
25 Sep |
Regression |
|
7 |
2 Oct |
Classification |
A3 |
8 |
9 Oct |
Process Round 2: Evaluation Protocols |
|
9 |
16 Oct |
||
10 |
23 Oct |
Goals and Discrimination |
|
30 Oct |
Text Processing |
A4 |
|
12 |
6 Nov |
||
13 |
13 Nov |
Graph-Structured Data |
MB, A5 |
20 Nov |
Thanksgiving break |
||
14 |
27 Nov |
A6, A7 Proposal |
|
15 |
4 Dec |
Data Science in Production |
|
F |
11 Dec |
Final exam (Mon, 11 Dec, 12:30–2:30 p.m.) |
A7 |