Simon Fraser University
Engaging the World

Course Outlines

Summer 2026 - CMPT 310 D100

Introduction to Artificial Intelligence (3)

Class Number: 3040

Delivery Method: In Person

Overview

  • Course Times + Location:

    May 11 – Aug 10, 2026: Wed, 9:30–10:20 a.m.
    Burnaby

    May 11 – Aug 10, 2026: Fri, 8:30–10:20 a.m.
    Burnaby

  • Prerequisites:

    CMPT 225 and STAT 271, all with a minimum grade of C-. Recommended: MATH 251.

Description

CALENDAR DESCRIPTION:

Artificial intelligence is an area with vast application scenarios. This course is intended as a prerequisite for advanced-level AI courses and covers the fundamental concepts and foundational mathematical formulations in machine learning and AI. Topics include supervised learning, linear regression, gradient descent, search algorithms, Markov decision processes, and Bayes nets.

Materials

REQUIRED READING NOTES:

Your personalized Course Material list, including digital and physical textbooks, are available through the SFU Bookstore website by simply entering your Computing ID at: shop.sfu.ca/course-materials/my-personalized-course-materials.

Department Undergraduate Notes:

The following are default policies in the School of Computing Science. Please check your course syllabus whether the instructor has chosen a different policy for your class, otherwise the following policies apply.
 
  • Students must attain an overall passing grade on the weighted average of exams in the course in order to get a C- or higher.
  • All student requests for accommodations for their religious practices must be made in writing by the end of the first week of classes, or no later than one week after a student adds a course. After considering a request, an instructor may provide a concession or may decline to do so. Students requiring accommodations as a result of a disability can contact the Centre for Accessible Learning (caladmin@sfu.ca).

Registrar Notes:

ACADEMIC INTEGRITY: YOUR WORK, YOUR SUCCESS

At SFU, you are expected to act honestly and responsibly in all your academic work. Cheating, plagiarism, or any other form of academic dishonesty harms your own learning, undermines the efforts of your classmates who pursue their studies honestly, and goes against the core values of the university.

To learn more about the academic disciplinary process and relevant academic supports, visit: 


RELIGIOUS ACCOMMODATION

Students with a faith background who may need accommodations during the term are encouraged to assess their needs as soon as possible and review the Multifaith religious accommodations website. The page outlines ways they begin working toward an accommodation and ensure solutions can be reached in a timely fashion.