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CPSC383

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Explorations in Artificial Intelligence and Machine Learning

Dept of Computer Science SC - Faculty of Science

Subject

CPSC - Computer Science

Description

A survey of artificial intelligence and machine learning tools to cultivate an understanding of their capability, utility, and societal/ethical/legal considerations. Popular APIs will be used to develop simple applied examples.

Prerequisite(s): Computer Science 217 or Computer Science 231.

Course Attributes

ET Related, Fee Rate Group(Domestic) - A, Fee Rate Group(International) -A, GFC Hours (3-2T), ET - RLT (Related), FRGD - A (Fee Rate Group(Domestic) - A), FRGI - A (Fee Rate Group(Int'l) - A), GFCH - 3-2T ((3-2T))

Courses may consist of a Lecture, Lab, Tutorial, and/or Seminar. Students will be required to register in each component that is required for the course as indicated in the schedule of classes. Practicums, internships or other experiential learning modalities are typically indicated as a Lab component.

Component

LEC

Component

TUT

Units

3

Repeat for Credit

No

Subject code

CPSC
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