Schedule of Events

Class meetings are held on Tuesdays, Wednesdays, and Thursdays.

On Wednesdays, workshops are 3:00 - 3:50pm in Dawson Hall, Room 0310.

On Tuesdays and Thursdays, lectures are 2:20 - 3:35pm in Journalism, Room 0501.

Date Topic Links
Tues, 1/7 Lecture 1: Welcome to Data Science II pptx | pdf
Wed, 1/8 Workshop 0: Setting up your Python Environment materials
Thurs, 1/9 Lecture 2: Python Crash Course ipynb | html
Thurs, 1/9 Homework 1 Released pdf | handout
Tues, 1/14 Lecture 3: Machine Learning (with Python) Crash Course ipynb | html
Wed, 1/15 Workshop 1 (Nathan McEntire, Heeya Jolly): Jupyter notebooks and JupyterLab
Thurs, 1/16 Lecture 4: Linear Algebra Crash Course (recommend Lessons 1-3) github | mybinder
Tues, 1/21 Lecture 5
Wed, 1/22 Workshop 2
Thurs, 1/23 Lecture 6
Tues, 1/28 Lecture 7
Tues, 1/28 Homework 1 Due
Wed, 1/29 Workshop 3
Thurs, 1/30 Lecture 8
Thurs, 1/30 Homework 2 Released
Tues, 2/4 Lecture 9
Wed, 2/5 Workshop 4
Thurs, 2/6 Lecture 10
Tues, 2/11 Lecture 11
Wed, 2/12 Workshop 5
Thurs, 2/13 Lecture 12
Tues, 2/18 Lecture 13
Tues, 2/18 Homework 2 Due
Wed, 2/19 Workshop 6
Thurs, 2/20 Lecture 14
Thurs, 2/20 Homework 3 Released
Tues, 2/25 Workshop 7
Wed, 2/26 Midterm Review
Thurs, 2/27 Midterm Exam
Mon, 3/3 - Fri, 3/7 Spring Break
Tues, 3/11 Lecture 15
Tues, 3/11 Homework 3 Due
Wed, 3/12 Workshop 8
Thurs, 3/13 Lecture 16
Thurs, 3/13 Homework 4 Released
Tues, 3/18 Lecture 17
Wed, 3/19 Workshop 9
Thurs, 3/20 Lecture 18
Tues, 3/25 Lecture 19
Wed, 3/26 Workshop 10
Thurs, 3/27 Lecture 20
Tues, 4/1 Lecture 21
Tues, 4/1 Homework 4 Due
Wed, 4/2 Workshop 11
Thurs, 4/3 Lecture 22
Thurs, 4/3 Homework 5 Released
Tues, 4/8 Lecture 23
Wed, 4/9 Workshop 12
Thurs, 4/10 Lecture 24
Tues, 4/15 Lecture 25
Wed, 4/16 Workshop 13
Thurs, 4/17 Lecture 26
Tues, 4/22 Lecture 27
Tues, 4/22 Homework 5 Due
Wed, 4/23 Workshop 14
Thurs, 4/24 Final Project Presentations
Tues, 4/29 Final Project Presentations
Wed, 4/30 Final Project Presentations
Thurs, 5/1 Final Project Presentations