CSC384H1
UTSGIntroduction to Artificial Intelligence
Theories and algorithms that capture (or approximate) some of the core elements of computational intelligence. Topics include: search; logical representations and reasoning, classical automated planning, representing and reasoning with uncertainty, learning, decision making (planning) under uncertainty. Assignments provide practical experience, in both theory and programming, of the core topics.
View full details on the UofT Academic CalendarPrereq: CSC263H1/ CSC265H1/ CSC263H5/ CSCB63H3, STA237H1/ STA247H1/ STA255H1/ STA257H1/ STAB57H3/ STAB52H3. Notes: students enrolled in ASMAJ1446A who have completed at least 9.0 credits may substitute CSC111H1/ (CSC148H1, CSC165H1/ MAT137Y1) for CSC263H1 and STA220H1/ PSY201H1 for STA237H1. ECE345H1/ ECE358H1/ MIE245H1; ECE302H1/ STA286H1/ CHE223H1/ CME263H1/ MIE231H1/ MIE236H1/ MSE238H1/ ECE286H1Excl: CSC384H5, CSCD84H3, MIE369H1. NOTE: Students not enrolled in the Computer Science Major or Specialist program at A&S, UTM, or UTSC, or the Data Science Specialist at A&S, are limited to a maximum of 1.5 credits in 300-/400-level CSC/ECE courses.
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Course Info
DepartmentCSC
CampusUTSG (St. George)
Level300
Hours24L/12T
What do you think of CSC384H1?
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From Reddit
Difficulty: 3/5Usefulness: 3/5
After taking CSC401 and CSC311, this felt sorta useless. Content is barely mathematical, more of an 'AI logic' course — game theory, state representation, problem solving heuristics. Assignments and midterm were easy, but the final was ridiculously difficult.
3 weeks ago