Please note that prior to Fall 2011, the Technology & Information Management department was known as Information Systems Management. For classes prior to Fall 2011, please see the ISM schedule page.
Provides students with a systematic methodology and the corresponding set of methods and analytical tools to address the analytic approaches to marketing in a real-world context. Trains students in the basic elements of statistics decision trees, stochastic optimization, and other algorithmic approaches. Students should have a solid background in the following: probability equivalent to statistics, stochastic methods, calculus, linear algebra, stochastic processes and optimization, and/or mathematical maturity. Recommended courses: course 207, course 250, Applied Mathematics and Statistics 203, Applied Mathematics and Statistics 205, Computer Engineering 230. Enrollment restricted to graduate students. Pre-requisite(s): permission of instructor. R. Akella
This class has not been taught recently.
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