ACS-39533 credit hours

Introduction to Artificial Intelligence

Applied Computer Science · 3 hrs Lecture

Offered: Every Year

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ACS-3953 prerequisites

11 courses appear in this chain, up to 4 levels deep. Every route through it involves a choice, so nothing is forced.

Part of this course's requisite text couldn't be parsed into structure, so the chain below may be incomplete. The full wording is under “Requisite courses”.

Show the chain

all of

any one of

ACS-2947Data Structures and Algorithms

any one of

ACS-1904Programming Fundamentals II

ACS-1903Programming Fundamentals Imin C

any one of

Pre-Calculus Math 40S

Applied Math 40S

ACS-1805Introduction to Programmingmin C

ACS-1905Programming Fundamentalsmin C

all of

any one of

Computer Science 40S

equivalent

any one of

ACS-1805Introduction to Programmingmin C

Its prerequisites are shown above.

Pre-Calculus Math 40S

Applied Math 40S

MATH-1101not in the 2026-27 calendar

MATH-1103Introduction to Calculus I

any one of

Pre-Calculus Mathematics 40S

MATH-0042Mathematics Access IImin C

any one of

A minimum grade of 65% in Pre-Calculus 30S

a minimum grade of C+ in MATH-0041

permission of the Department Chair

the former MATH-0040

MATH-1104Introduction to Calculus II

Minimum grade of C in MATH-1103

MATH-1201Linear Algebra I

any one of

Pre-Calculus Mathematics 40S

Applied Mathematics 40S

MATH-0042Mathematics Access II

Its prerequisites are shown above.

MATH-1401Discrete Mathematics

any one of

Pre-Calculus Mathematics 40S

a grade of 65%

higher in Applied Mathematics 40S

MATH-0042Mathematics Access II

Its prerequisites are shown above.

any one of

any 3 credit hour Statistics course at

above the 1000 level with a minimum grade of C

Add your completed courses to see which of these you've already done and what you could take next. They stay on this device.

Where ACS-3953 counts

Required by 3 programs:

ACS 3-YEAR BA/BSc IN APPLIED COMPUTER SCIENCE
ACS 4-YEAR BSc IN APPLIED COMPUTER SCIENCE
ACS BSc (HONOURS) IN

Read from the departments' own calendar pages, where 71 of 141 programs are only partly machine-readable, so treat these as a minimum rather than the full list. Confirm with an academic advisor.

Description

This course introduces the core concepts of Artificial Intelligence (AI) and practical implementation using Python. Students explore AI agents, heuristic and local search strategies, constraint satisfaction problems, adversarial search in games, and logical agents. The curriculum emphasizes solving real-world problems such as optimization, game strategy, and logical reasoning through hands-on projects and examples. By the end of the course, participants have a solid foundation in AI principles and the Python skills needed to develop intelligent solutions, preparing them for advanced study or careers in AI and related fields.

Requisite courses

ACS-2947, one of MATH-1101, MATH-1103, MATH-1104, MATH-1201, MATH-1401, and any 3 credit hour Statistics course at or above the 1000 level with a minimum grade of C [prerequisite(s)].

Restrictions

Students may not receive credit for this course and ACS-3930 with Introduction to Artificial Intelligence as a topic.

Note

Students not familiar with Python are strongly encouraged to take ACS-1905(3) or ACS/PHYS-2112(3).

Lecture

From the 2026-27 undergraduate calendar. Always verify details on WebAdvisor or with an academic advisor before registering.