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2025 Winter
Apr 22, 2025
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Information Select the desired Level or Schedule Type to find available classes for the course.

CS 890EC - Computational Learning Theory
Selected topics in computational learning theory and applications, e.g., models of interactive machine learning, privacy-preserving learning, statistical learning, recursion-theoretic models of learning, complexity analysis of learning algorithms. Reading materials include 2 book chapters and 10-15 research articles. A term project is required.
1.000 TO 3.000 Credit hours
1.000 TO 3.000 Other hours

Levels: Graduate
Schedule Types: Independent Study

Computer Science Department

Restrictions:
Must be enrolled in one of the following Levels:     
      Graduate

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