TIM209: Data Mining and Business Analytics in Knowledge Services

Provides students with systematic methodology and analytical tools in data and text mining and business analytics. Also provides an integrated perspective and examines use of these methods in the field of knowledge services, such as online marketing, sponsored search, health care, financial services, recommender systems, etc. Includes training in the basic elements of stochastic optimization and other algorithmic approaches, such as stochastic dynamic programming, statistics, constrained optimization, and machine learning with exposure to software tools. These methods enable firms to achieve rapid, effective, and profitable optimization of knowledge-services management. (Formerly Knowledge Services and Data Analytics) Enrollment restricted to graduate students. Students are expected to have undergraduate preparation in probability and statistics. Undergraduates may enroll with instructor approval.

5 credits

Year	Fall	Winter	Spring	Summer

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.