Program Overview

Machine Learning I - CMPT 3510

This course introduces students to major machine learning concepts and several fundamental machine learning algorithms. Students will learn to conceptualize machine learning solutions for basic business problems, and will learn the stages of realizing a machine learning project. This includes defining the business problem, preparing data, and creating and evaluating machine learning models.

Course details

Course code

CMPT3510

Credits

3

Format and length

• Lecture: 45 hours
• Lab: 36 hours

Prerequisites

• A minimum grade of C in STAT 1151, MATH 1001
• Co-requisite: CMPT 2400
• Restricted to Machine Learning Analyst

Delivery

• In person
• Hyflex

This course is delivered in a classroom setting with face-to-face instruction at regularly scheduled times.

Schedule

Edmonton

• Fall: Sep. 2 - Dec. 12, 2025
  • Fri: 09:30 am - 12:30 pm
  • Class: 40398
  • Section: A02
  • Open Studies: No
• Winter: Jan. 5 - Apr. 17, 2026
  • Tue, Thu: 11:00 am - 12:30 pm
  • Class: 10340
  • Section: A01
  • Open Studies: No

Attendance options

For each course session or class time, you can choose to attend in person, online in real-time or watch a previously recorded session.

Edmonton

• Fall: Sep. 2 - Dec. 12, 2025
  • Fri: 09:30 am - 12:30 pm
  • Class: 40400
  • Section: H02
  • Open Studies: No
• Winter: Jan. 5 - Apr. 17, 2026
  • Tue, Thu: 11:00 am - 12:30 pm
  • Class: 10342
  • Section: H01
  • Open Studies: No

Program information

To take this course, apply to our Machine Learning Analyst program. Read our application guide for more information.