Program Overview

Algorithms - CMPT 2021

Course Description

Students will be introduced to the basic concepts and theories in the identification and analysis of algorithms. They will explore the different types of algorithms and how they are used to solve problems. Topics include a review of fundamental tools (algorithm analysis, basic data structures, searching, sorting, and fundamental techniques), graph algorithms (graphs, weighted graphs, matching, and flow), Internet algorithmics (text processing, number theory and cryptography, and network algorithms), NP and computational intractability, computational geometry, and algorithmic frameworks. Students will also study analysis techniques for estimating run-time efficiency.

Course Details

Course Code

CMPT2021

Credits

3

Format and Length

• Lecture: 45 hours
• Lab: 36 hours

Prerequisites

• A minimum grade of C in CMPT 1011
• Restricted to Machine Learning Analyst, Arts and Sciences Diploma, and Open Studies

Delivery Options

• In person
• Hyflex

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

Scheduling

Edmonton

• Fall: Sep. 2 - Dec. 12, 2025
  • Mon, Wed: 08:00 - 09:30 am
  • Class: 40372
  • Section: A02
  • Open Studies: No
• Winter: Jan. 5 - Apr. 17, 2026
  • Tue, Thu: 09:30 - 11:00 am
  • Class: 10312
  • Section: A01
  • Open Studies: No

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
  • Mon, Wed: 08:00 - 09:30 am
  • Class: 40374
  • Section: H02
  • Open Studies: No
• Winter: Jan. 5 - Apr. 17, 2026
  • Tue, Thu: 09:30 - 11:00 am
  • Class: 10314
  • Section: H01
  • Open Studies: No

Program Information

This course can be taken through Open Studies or through one of our many programs. Read our application guide and apply now.