Schedule

Contents

Schedule#

Warning

As this is a new course, the schedule may change throughout the semester to best accommodate your learning!

Topics#

A list of topics we will cover can be found below. Note that topics may be subject to change.

  • Potential Outcomes

  • Causal Graphs

  • Identification and Estimation

  • Randomized Experiments

  • Observational Studies

  • Instrumental Variables

  • Regression Discontinuities

  • Difference-in-Differences

  • Synthetic Controls

  • Causal Machine Learning


Monday

Tuesday

Wednesday

Thursday

Friday

01/27

01/28
Introduction

WS 1
Survey 1

01/29
Tony 3-5pm

01/30
Simpsonโ€™s Paradox

01/31

02/03
Bhargavi 6-7pm
WS 1
Survey 1

02/04
Potential Outcomes I

WS 2

02/05

  • Tony 5-6pm
  • Bhargavi 6-7pm

02/06
โ„๏ธ Snow day โ„๏ธ
Tony 1-2pm (Zoom)

02/07

02/10

  • Tony 4-5pm (Zoom)
  • Bhargavi 6-7pm
WS 2

02/11
Potential Outcomes II

  • Tony 2-3pm
  • Tony 5-6pm
WS 3

02/12

  • Tony 3:30-4:30pm
  • Bhargavi 6-7pm

02/13
Estimation

  • Tony 1-2pm

02/14

02/17

  • Bhargavi 6-7pm
WS 3

02/18
Causal Graphs I

  • Tony 2-3pm
  • Tony 5-6pm

02/19

  • Tony 5-6pm
  • Bhargavi 6-7pm

02/20
Causal Graphs II/Stratification

  • Tony 1-2pm
Project 1

02/21

02/24

  • Bhargavi 6-7pm

02/25
Observational Studies I

  • Tony 2-3pm
  • Tony 5-6pm

02/26

  • Tony 5-6pm
  • Bhargavi 6-7pm

02/27
Observational Studies II

  • Tony 1-2pm

02/28

03/03
Project 1

03/04
WS 4

03/05

03/06

03/07

03/10
WS 4

03/11
Project 2

03/12

03/13

03/14

03/17 - 3/24
๐ŸŒผ Spring break ๐ŸŒธ

03/24

03/25

03/26

03/27

03/28
Project 2