Algorithms - CMPT 2021

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.

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


This course is delivered in a classroom setting with face-to-face instruction at regularly scheduled times.
Term Duration Schedule Class Section Open Studies

Edmonton
Winter Jan. 6 - Apr. 25, 2025 Wed: 11:00 am - 12:30 pm
Thu: 08:00 - 09:30 am
 10338 A01 No
Winter Jan. 6 - Apr. 25, 2025 Wed: 11:00 am - 12:30 pm
Thu: 08:00 - 09:30 am
 10342 A02 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.
Term Duration Schedule Class Section Open Studies

Edmonton
Winter Jan. 6 - Apr. 25, 2025 Wed: 11:00 am - 12:30 pm
Thu: 08:00 - 09:30 am
 10340 H01 No
Winter Jan. 6 - Apr. 25, 2025 Wed: 11:00 am - 12:30 pm
Thu: 08:00 - 09:30 am
 10344 H02 No

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

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