CSC 455
Social Computing and Decentralized Artificial Intelligence
Section: 001

Course Description

This course surveys the field of social computing, introducing its key concepts, paradigms, and techniques. Specific topics are selected from the following list: social media and social network analytics, sociological underpinnings, crowdsourcing and surveys, human computation, social mobilization, human decision making, voting theory, judgment aggregation, prediction markets, economic mechanisms, incentives, organizational modeling, argumentation, contracts, norms, mobility and social context, sociotechnical systems, and software engineering with and for social computing. This course incorporates ideas from diverse disciplines (including sociology, psychology, law, economics, political science, logic, statistics, philosophy, business) to provide essential background for future computer science careers in industry and research.

Fall 2024

Instructors

Meeting Patterns

Classes Start:
August 19, 2024
Classes End:
December 3, 2024
Location:
02124 Engineering Building 3
Class Days:
M W
Class Start Time:
4:30pm
Class End Time:
5:45pm

Class Type:
Lecture
Credits:
3.00
Restrictions:
Prerequisite: CSC 226 and CSC 316 Computer Science Majors

Tools