LCST

3414

Machine Learning and Decision Making

Eugene Lang College Lib Arts: Culture and Media

Liberal Arts

Undergraduate Course

Degree Students

MachineLearning&DecisionMaking

Spring 2020

Taught By: Ursula Wolz

Section: AX

CRN: 7549

Credits: 4

Increasingly machine learning algorithms are impacting how we individually and collectively gather information and make decisions. This second level coding class explores concepts of big data, algorithm credibility and accountability, and computer mediated social interaction through a hands-on experience building a world of autonomous ‘intelligent’ agents.' In the strong tradition of Artificial Intelligence research, we build a game, but one in which there are no human players. Instead, over the course of the semester, each student builds an increasingly sophisticated avatar by implementing the underlying algorithms and data structures that are at the heart of modern automated decision-making systems. In a series of increasingly complex scenarios, the avatar must not only survive, but thrive without human interaction. The power and limitations of modern machine learning technology quickly becomes evident. We will also explore the social impact of these systems through readings such as Singer and Brooking’s 'War Like’, and Kakutani’s ‘ 'The Death of Truth.’ Readings relate how the code each student produces in our tiny simulated world to the complex information systems of modern computer mediated human interaction. Restricted to students with at least one prior undergraduate class that includes a significant coding experience. Students are expected to own a laptop computer, or check one out from the University and bring it with them to every class. This course fulfills the Intro Integrative course requirement in the Culture and Media major.

College: Eugene Lang College Lib Arts (LC)

Department: Culture and Media (LCST)

Campus: New York City (GV)

Course Format: Seminar (R)

Max Enrollment: 18

Add/Drop Deadline: February 3, 2020 (Monday)

Online Withdrawal Deadline: April 12, 2020 (Sunday)

Seats Available: Yes

Status: Closed*

*Status information is updated every five minutes. The status of this course may have changed since the last update. Open seats may have restrictions that will prevent some students from registering. Updated: 3:02am 3/29/2020 EDT

Meeting Info:

Days: Friday

Times: 12:10pm - 2:50pm

Building: Eugene Lang 65 W11th

Room: 050

Date Range: 1/24/2020 - 5/8/2020