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


Term Duration Schedule Class Section Open Studies

Edmonton
Fall Sep. 3 - Dec. 20, 2024 Tue, Thu: 11:00 am - 12:30 pm
 40380 A01 No
Fall Sep. 3 - Dec. 20, 2024 Tue, Thu: 11:00 am - 12:30 pm
 40384 A02 No
Winter Jan. 6 - Apr. 25, 2025 Tue, Wed: 08:00 - 09:30 am
 10338 A01 No
Winter Jan. 6 - Apr. 25, 2025 Wed, Thu: 11:00 am - 12:30 pm
 10342 A02 No
Term Duration Schedule Class Section Open Studies

Edmonton
Fall Sep. 3 - Dec. 20, 2024 Tue, Thu: 11:00 am - 12:30 pm
 40382 H01 No
Fall Sep. 3 - Dec. 20, 2024 Tue, Thu: 11:00 am - 12:30 pm
 40386 H02 No
Winter Jan. 6 - Apr. 25, 2025 Tue, Wed: 08:00 - 09:30 am
 10340 H01 No
Winter Jan. 6 - Apr. 25, 2025 Wed, Thu: 11:00 am - 12:30 pm
 10344 H02 No

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To take this course, you must be enrolled in one of the related programs:

Arts and Sciences Diploma Machine Learning Analyst

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