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.
Course provides students with a systematic methodology, and the corresponding set of methods and analytical tools, to address the field of financial engineering and its use in high-tech enterprises in an integrated manner. Covers basic concepts of stochastic optimization and other algorithmic approaches, such as stochastic dynamic programming; decision models and analysis; and binomial trees; and their application in financial engineering in the context of high-tech enterprises. Prerequisite(s): Computer Engineering 107 or Economics 113 or Applied Mathematics and Statistics 131 or by consent of instructor.
This class has not been taught recently.
While the information on this web site is usually the most up to date, in the event of a discrepancy please contact your adviser to confirm which information is correct.