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Artificial Intelligence

Faculty of Arts and ScienceComputing and Information Science
Credits3
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Semester offeredN/A
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Last updated4 months ago

Description

An introduction to the basic principles and tools of artificial intelligence. Problem solving methods and knowledge representation techniques. Learning Hours: 120 (36 Lecture, 84 Private Study) Requirements: Prerequisite Registration in a School of Computing Plan and a minimum grade of a C- (obtained in any term) or a 'Pass' (obtained in Winter 2020) in CISC 235 . Recommended CISC 360 or CISC 260. Assessment/Exam Context: Course assessment and examinations vary by course; Queen's notes that eligible exchange students whose first language is not English may receive extra final-exam time. Exchange Registration Note: Arts and Science courses are open to exchange students subject to prerequisites and space. Most courses should be in Arts and Science; other faculties may be limited. Education, Medicine, and Nursing are not open to incoming exchange enrolment.

Course outline
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CISC 352 has possible credit equivalents including CSCI3230 at The Chinese University of Hong Kong, staff reviewed.

CourseUniversityQwest Score
CSCI3230
Fundamentals of Artificial Intelligence
The Chinese University of Hong Kong95
COMP24412
Knowledge Based AI
The University of Manchester95
COMP3411
Artificial Intelligence
University of New South Wales95
CS 3105
Artificial Intelligence
University of St Andrews95
COMP 307
Fundamentals of Artificial Intelligence
Victoria University of Wellington95