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• EAS 305: Applied Probability & Statistics Inference (Fall 2008, 2009)

• IE 576: Applied Stochastic Processes (Spring 2009)

• IE 675: Game Theory (Fall 2009)

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Teaching @ UB

IE 675: Game Theory (Fall 2009)
This course targets the graduate students who may have no or little game theory background, but have serious interests in conducting a project/research/thesis related to game theory. This course will start with the fundamentals of individual and group decision making analysis, then introduce topics including mechanism design, signaling game, screening game, repeated game, differential game, behavioral game, and evolutionary game. Finally, this course will introduce some state-of-the-art game-theoretic research on supply chain management, transportation, health care, and homeland security. Each student will work on a separate project throughout the semester, including presentations and written reports.

In Fall 2009, IE 675 has successfully attracted a favored diversity of student enrollment from Civil, Structural & Environmental Engineering, Cognitive Psychology, Economics/Communication, Industrial & Systems Engineering, and Mechanical Engineering, as well as a couple of informal sit-ins from Computer Science and Engineering.

• Students are required to use UBlearns to access the complete course materials
• Syllabus: PDF (subject to change)

EAS 305: Applied Probability & Statistics Inference (Fall 2009, Fall 2008)
Introduces probability and its application to engineering problems. Examines sample space, random variables, expected values, limiting theorems, error analysis, and provides introduction to random processes. Prerequisite for enrollment is MTH 241 College Calculus III or equivalent.

• Students are required to use UBlearns to access the complete course materials
• My TAs (Fall 2009): Paul Berglund, Shilan Jin, Yingying Kang
• Syllabus: PDF (subject to change)

IE 576: Applied Stochastic Processes (Spring 2009)
A continuation of IE 575 (Stochastic Methods). Topics include discrete-time and continuous-time Markov chains, Poisson processes and renewal theory, branching processes. Emphasis is placed on applications to operations research problems in areas such as queuing and inventory theory.

• Students are required to use UBlearns to access the complete course materials
• My TA: Xiao Wang