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Computer Science (CS) Courses

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Your search for courses for 20/FA and CS and course number 320 found 1 course.

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Course instruction will be delivered in one of four modes:

  • Face-to-Face in-person, classroom-based instruction — (only students physically on campus can enroll)
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CS 320.00 Machine Learning 6 credits

Closed: Size: 34, Registered: 33, Waitlist: 0

Online Course

MTWTHF
8:30am9:40am8:30am9:40am8:30am9:30am

Instructional Mode:

Online a web-based course that meets virtually

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Synonym: 57850

Anna N Rafferty

What does it mean for a machine to learn? Much of modern machine learning focuses on identifying patterns in large datasets and using these patterns to make predictions about the future. Machine learning has impacted a diverse array of applications and fields, from scientific discovery to healthcare to education. In this artificial intelligence-related course, we'll both explore a variety of machine learning algorithms in different application areas, taking both theoretical and practical perspectives, and discuss impacts and ethical implications of machine learning more broadly. Topics may vary, but typically focus on regression and classification algorithms, including neural networks.

Prerequisite: Computer Science 201 and Computer Science 202 (Mathematics 236 will be accepted in lieu of Computer Science 202)

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