ISM209: Data Mining and Business Analytics in Knowledge Services

Please note that after Summer 2011, the Information Systems Management department was renamed Technology & Information Management.  For classes after Summer 2011, please see the TIM schedule page.

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. R. Akella

5 Credits

YearFallWinterSpringSummer
2010-11
2009-10
  • Section 01
    Ramakrishna Akella (rakella)
    Telecast to SVC
  • Section 50
    Ramakrishna Akella (rakella)
    SVC Telecast
2008-09
  • Section 01
    Ramakrishna Akella (rakella)
    Telecast to SVC
2007-08
  • Section 01
    Ramakrishna Akella (rakella)
    Telecast
2006-07
  • Section 01
    Ramakrishna Akella (rakella)
    SVC & Telecast From SVC to UCSC

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