Summary: EE 693H Fall 2007
TR, 12:00pm1:15pm, Holmes 389
Game theory provides the most natural framework to study the strategic interactions between self-interested
decision makers. Due to the emergence of distributed complex systems made up of many autonomous agents
(such as the Internet), there has been a resurgence of interest in game theory within the engineering and the
computer science communities. This course will introduce the students to the fundamentals of noncoopera-
tive game theory as well as the computational tools provided by noncooperative game theory. Emphasis will
be on the engineering applications such as control, communications, transportation systems, and resource
allocation problems. The course is intended for mathematically inclined students with some background on
Instructor: G¨urdal Arslan, Holmes 440, Phone: 9563432, E-mail: firstname.lastname@example.org
Office Hours: Open
Recommended Texts: Dynamic Noncooperative Game Theory by Bas.ar and Olsder
Game Theory by Fudenberg and Tirole,
Site of announcements, handouts, homeworks, etc.
Grading: Homework 30%; Mid-term 35%; Project 35%.
Policies: No credit will be given to late homeworks.