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Data Driven Knowledge Discovery
Instructor Qi Yu
Course Number ISTE-780-01
Aug 24, 2020
Starts
15 weeks
Length
10 Seats
Remaining

Rapidly expanding collections of data from all areas of society are becoming available in digital form. Computer-based methods are available to facilitate discovering new information and knowledge that is embedded in these collections of data. This course provides students with an introduction to the use of these data analytic methods, with a focus on statistical learning models, within the context of the data-driven knowledge discovery process. Topics include motivations for data-driven discovery, sources of discoverable knowledge (e.g., data, text, the web, maps), data selection and retrieval, data transformation, computer-based methods for data-driven discovery, and interpretation of results. Emphasis is placed on the application of knowledge discovery methods to specific domains.

  • Credits

    3 credit hours

    This 15 week course requires students to spend approximately 9 hours a week on course work.

  • Enrollment Restrictions

    Enrollment restrictions are subject to change. Please contact us for assistance.

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