Schedule
We will aim to fill in lecture topics at least 1 week in advance. Assignment due dates are final, unless there are exceptional unforeseen circumstances.

EventDateDescriptionCourse Material

Lecture08/30
Monday 
Lecture09/01
WednesdaySuggested Readings:
 Lessons from measurement [only need to read measurement section]
 When You Hear the Margin of Error Is Plus or Minus 3 Percent, Think 7 Instead

Assignment09/02
ThursdayHomework #1  Polling and Data Collection released! 
Lecture09/08
Wednesday 
Lecture09/13
Monday 
Lecture09/15
WednesdaySuggested Readings:

Due09/19 23:59 ET
SundayHomework #1 due 
Lecture09/20
MondayGuest 1  Dhrumil Mehta Guest LectureSuggested Preparation:

Assignment09/20
MondayHomework #2  Recommendations released! 
Lecture09/22
Wednesday 
Lecture09/27
MondayGuest 2  Amy Zhang Guest Lecture 
Lecture09/29
Wednesday 
Lecture10/04
Monday 
Due10/05 23:59 ET
TuesdayHomework #2 due 
Assignment10/06
WednesdayHomework #3  Dynamic and Personalized Pricing released! 
Lecture10/06
Wednesday 
Lecture10/13
Wednesday 
Lecture10/18
MondayIn class discussion  Ethics in (Algorithmic) PricingSuggested Readings:

Due10/19 23:59 ET
TuesdayHomework #3 due 
Lecture10/20
Wednesday 
Lecture10/27
Wednesday 
Assignment10/29
FridayHomework #4  Experimentation released! 
Lecture11/01
MondayGuest 3  Hannah Li Guest Lecture 
Lecture11/01
Monday 
Lecture11/03
Wednesday 
Lecture11/08
Monday 
Lecture11/10
WednesdayGuest 4  Lily Xu Guest Lecture 
Due11/09 23:59 ET
TuesdayHomework #4 due 
Lecture11/15
Monday 
Lecture11/17
WednesdayGuest 5  George Markoulakis and Jaron Malcom (Clipboard Health) Guest Lecture 
Lecture11/22
Monday 
Due11/23 23:59 ET
TuesdayProject Part 1 due 
Lecture11/29
Monday 
Lecture12/01
WednesdayLecture 19  Digital marketing and AI for political campaigns 
Due12/05 16:59 ET
SundayProject Part 2  Competition code due 
Lecture12/06
Monday 
Due12/14 23:59 ET
TuesdayProject Report due