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Machine Learning Work Integrated Project I - CMPT 3830

In this course, students work in groups on machine learning projects based on real-world business cases and solutions. Students will learn the project lifecycle and acquire the multidisciplinary teamwork and strategy skills required for employment. While working in domain-specific cohorts on applied machine learning business cases using problems and datasets developed by local companies, students will also explore the business case for employing machine learning solutions. By working through applied machine learning projects, students will begin to develop a portfolio of work and learn the practical skills of conceptualizing and progressing through a basic project workflow as a team. This course is taught by local experts and industry guest lecturers, so students will have the opportunity to engage industry experts and network with potential employers. Examples of domain-specific cohorts may include health, fintech, social enterprise, and environmental science and natural resources. Students must complete this course in a term directly before CMPT 3835 (Machine Learning Work Integrated Project II). Note for international learners: This is not work-integrated learning, and there are no practicum hours assigned to this course. International learners do not require a co-op work study permit for this course.

Note: Prerequisite A minimum grade of C in BUSD 1201, ENGL 2510 Co-requisite: CMPT 3510, CMPT 2400 Restricted to Machine Learning Analyst


Term Duration Schedule Class Section Open Studies

Edmonton

Fall Sep 3 - Dec 20, 2024 Mon: 03:30 - 06:30 pm
40422 A01 No
Fall Sep 3 - Dec 20, 2024 Wed: 03:30 - 06:30 pm
40426 A03 No
Winter Jan 6 - Apr 25, 2025 Mon: 09:30 am - 12:30 pm
10394 A01 No
Winter Jan 6 - Apr 25, 2025 Wed: 12:30 - 03:30 pm
10398 A03 No
Term Duration Schedule Class Section Open Studies

Edmonton

Fall Sep 3 - Dec 20, 2024 Mon: 03:30 - 06:30 pm
40424 H02 No
Fall Sep 3 - Dec 20, 2024 Wed: 03:30 - 06:30 pm
40428 H04 No
Winter Jan 6 - Apr 25, 2025 Mon: 09:30 am - 12:30 pm
10396 H02 No
Winter Jan 6 - Apr 25, 2025 Wed: 12:30 - 03:30 pm
10400 H04 No

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

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