Schedule

Schedule guidance

Topics may shift with the class’s pace and interests. There are no class meetings on October 14 or October 28. Final presentations include peer critique, and the final paper is planned for the end of presentation week or the beginning of the following week so students can incorporate feedback. Review the materials before each meeting.

Date	#	Topics	Mode	Assignments
08/19	01	Introduction	In-Person
08/26	02	Machine Learning for Classification	In-Person
09/02	03	Logistic Function	In-Person
09/09	04	Ordinal Logistic Regression	In-Person
09/16	05	Workshop 1: Proposal/Pitch	In-Person	Workshop 1
09/23	06	Multinomial and Count Models	In-Person
09/30	07	Text Classification I: Encoder Models	In-Person	Problem Set 1
10/07	08	Text Classification II: Zero-Shot and Few-Shot Models	In-Person
10/14		No Class Meeting	NA
10/21		Spring Break	NA	Problem Set 2
10/28		No Class Meeting	NA	Data & Methods
11/04	10	Workshop 2: Data & Methods	TBD	Workshop 2
11/11	11	Machine Learning for Regression	In-Person
11/18	12	Factor Analysis and Structural Equation Modeling	In-Person
11/25		Thanksgiving	NA
12/02		Reading Day	NA	Final Paper
12/09		Workshop 3: Final Presentations	Remote	Workshop 3 Final Presentation

Session delivery methods

Use the Mode column to see how each meeting will be held.

In-Person: Meet on campus. A Zoom option is not available.
Remote: Join a live, synchronous class meeting on Zoom.
Online: Complete the session asynchronously using recorded course materials; there is no campus or Zoom meeting.