COMS W2702

AI in Context

Course Information for Fall 2024

Instructors:
Adam Cannon (Computer Science)
Lydia Chilton (Computer Science)
Chris Wiggins (Applied Physics and Applied Mathematics)
Vishal Misra (Computer Science)
Katja Vogt (Philosophy)
Seth Cluett (Music)
Kirkwood Adams (Writing Center)
Maria Baker (Writing Center)

TAs:

Term project and general questions:
Reece Brown reece.brown@columbia.edu
Office hours: Mondays and Wednesdays, 11:30 AM to 1:00 PM. Please email for a Zoom link or to schedule an appointment outside of this window.

Module 1: History of Intellgence:

Anum Ahmad aqa2001@barnard.edu

Module 2: NN-LLM:
Andrew Tang at3456@columbia.edu

Module 3: AI and Philosophy:

Tahlia Pajaczkowska-Russell tcp2127@columbia.edu
Anthony Hejduk adh2181@columbia.edu

Pre-requisites: There are no prerequisites for this course.

Course Objectives: This brand new interdisciplinary course covers the history, development, applications, and societal impacts of artificial intelligence offering students a unique opportunity to explore the transformative potential of this technology in a range of contexts. The course consists of five "modules" each taught by a faculty member from a different part of the university. See the syllabus for details!

Textbook: There is no required textbook for the course. Reading assignments will be provided by course instructors.

Lectures
This is a fully in-person class. Lectures will be live.

Homework: Each of the five two-week modules will have associated assignments worth 15% of the course grade each. The remaining 25% of the course grade will be based on a semester-long team project in the form of a 10 minute video presentation. Students will view and evaluate all of the submitted presentations as part of their project grade.

Grading: Grades will be assigned using the following guideline:

75% 5 x 15% module assignments and projects
25% Team project

NOTE: There is no final examination in this class.

Academic Honesty
Please familiarize yourself with these university and department policies: