Description
Fundamental ideas and techniques underlying the design of intelligent computer systems. Topics include intelligent agents, problem solving by searching, uncertain knowledge and reasoning, introduction to machine learning, and selected AI applications. A special focus is given to engineering use cases and applications of AI.
Prerequisites
- Prerequisite(s): ( ECOR 2050 or STAT 2605 or STAT 3502 or SYSC 2510 ), ( SYSC 1006 or SYSC 2006 ) and third year standing.
Conditions and arrangements
- Precludes additional credit for Precludes additional credit for COMP 3106 .
- Prerequisite(s): ( ECOR 2050 or STAT 2605 or STAT 3502 or SYSC 2510 ), ( SYSC 1006 or SYSC 2006 ) and third year standing.
- Lectures three hours a week, laboratory/problem analysis one hour per week.
Reference text in its original language
Fundamental ideas and techniques underlying the design of intelligent computer systems. Topics include intelligent agents, problem solving by searching, uncertain knowledge and reasoning, introduction to machine learning, and selected AI applications. A special focus is given to engineering use cases and applications of AI.
- Prerequisite(s): ( ECOR 2050 or STAT 2605 or STAT 3502 or SYSC 2510 ), ( SYSC 1006 or SYSC 2006 ) and third year standing.
- Precludes additional credit for Precludes additional credit for COMP 3106 .
- Lectures three hours a week, laboratory/problem analysis one hour per week.
Sources and references
Dates and sources are retained to help you verify the information. Translations are provided to facilitate reading; the official source governs conditions and requirements.
Source reference : https://calendar.carleton.ca/undergrad/courses/SYSC/