Data Mining and Analytics in Intelligent Business Services

Info
290

3 units

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This course is not currently offered.

Course Description

The purpose of this course is to train students in:

  • Data mining and big data analytics (and a subset of topics in information retrieval, extraction, and machine learning);
  • Providing an intelligent business services context (in areas and topics such as digital marketing and computational advertising, financial analytics, service analytics, energy analytics, social media and social networks)

Specifically, we hope to:

  • Provide an overview of issues and trends which will shape the need for and structures of data mining, information extraction, and analytics in business information systems within areas and industries such as online marketing and ads, financial services, energy services, social media and networks, and service centers.
  • Identify and explore key topics, followed by the development of analytic methods, for data mining, analytics, and information extraction, in these contexts

We will have industry speakers and industry projects as well, to provide real-world perspective and real-world engagement.

(Currently offered as Info 290T. Data Mining and Analytics in Intelligent Business Services)

Prerequisites

Introductory programming
Last updated: January 10, 2017