# Academic Calendar

**Source**: https://artsci.calendar.utoronto.ca/course/csc384h1
**Parent**: https://engineering.calendar.utoronto.ca/section/Industrial-Engineering

Hours

24L/12T

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.

Prerequisite

**Prerequisite:** / / [CSC263H5](https://utm.calendar.utoronto.ca/course/CSC263H5)/ [CSCB63H3](https://utsc.calendar.utoronto.ca/course/CSCB63H3), / / / / [STAB57H3](https://utsc.calendar.utoronto.ca/course/STAB57H3)/ [STAB52H3](https://utsc.calendar.utoronto.ca/course/STAB52H3). Notes: students enrolled in ASMAJ1446A who have completed at least 9.0 credits may substitute /  for  and /  for . Starting in 2026-27, these students will require / ( , / ) to substitute for . \
 **Prerequisite for Applied Science and Engineering students:** / / ; / / / / / / / 

Recommended Preparation

Exclusion

[CSC384H5](https://utm.calendar.utoronto.ca/course/CSC384H5), [CSCD84H3](https://utsc.calendar.utoronto.ca/course/CSCD84H3), . 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.

Breadth Requirements

The Physical and Mathematical Universes (5)