Course Info

CSC 576: Computational Advertising

Computational advertising is the problem of finding the best advertisement for a given user in a given on-line context. It is a complex and emerging area at the intersection of quantitative marketing, web search, data mining, recommendation, optimization, and algorithmic game theory. Students will read current scientific papers and explore a range of models both mathematically and empirically. Students can choose from three types of final course projects: implementation projects, research papers, or data analysis projects. Prerequisite(s): IS 467 or CSC 478 or ECT 584

IS 467 or DSC 441 or CSC 478 or ECT 584 or DSC 484 is a prerequisite for this class.

Winter 2017-2018

Section: 801
Class number: 26164
Meeting time: M 5:45PM - 9:00PM
Location: CDM 00206 at Loop Campus
Instructor: Robin Burke
Section: 810
Class number: 26165
Meeting time: -
Location: Remote
Instructor: Robin Burke