Note: This schedule is subject to change and will be adjusted as needed throughout the semester.
| Week | Topics | Reading (completed prior to lecture) | Due (Fri@9pm; late=Sat@9pm) |
|---|---|---|---|
| 1 Jan 7 - 11 |
Derbinsky @ NCH, 1/8-1/14 |
1, 2, 3, 9.5.1, 10.1-10.6, 10.23-10.25 |
|
| 2 Jan 14 - 18 |
Pre-Class Quiz 1 |
4.4-4.5, 7.1-7.7 |
|
| 3 Jan 21 - 25 |
Pre-Class Quiz 2 |
4.7, 8 |
|
| 4 Jan 28 - Feb 1 |
Pre-Class Quiz 3 |
6.1-6.9, 7.8, 10.26-10.28 |
|
| 5 Feb 4 - 8 |
Pre-Class Quiz 4 |
5, 6.7 9, 10 |
|
| 6 Feb 11 - 15 |
Pre-Class Quiz 5 |
11 |
|
| Feb 18 - 22 |
Reading Week |
||
| 7 Feb 25 - Mar 1 |
Pre-Class Quiz 6 Derbinsky @ NCH, 3/2-3/8 |
12 |
|
| 8 Mar 4 - 8 |
Pre-Class Quiz 7 |
16, 17 |
|
| 9 Mar 11 - 15 |
Pre-Class Quiz 8 |
Jupyter Tutorial Notebook Gallery Markdown Tutorial Markdown Cheatsheet Pyplot Tutorial |
|
| 10 Mar 18 - 22 |
Pre-Class Quiz 9 |
csv Modulerequests Modulebs4 Module
|
|
| 11 Mar 25 - 29 |
Pre-Class Quiz 10
|
Topic Modeling | |
| 12 Apr 1 - 5 |
10 Minutes to pandasWhy Jupyter is data scientists’ computational notebook of choice |
||
| 13 Apr 8 - 12 |
|
An introduction to machine learning with scikit-learn
|
|
| 14 Apr 15 - 18 |
|
Resources
Students are expected to read the materials in preparation of each lecture.
- Class Python Reference (updated 04 March 2019)
- Textbook
-
How to Think Like a Computer Scientist [interactive] [static] [amazon]
(note: the static and print versions of the text differ slightly in content and organization)
-
How to Think Like a Computer Scientist [interactive] [static] [amazon]
- Other Resources