Description

This course gives an introduction to artificial intelligence (AI). The course covers supervised classification based on e.g., artificial neural networks - deep learning, as well as unsupervised learning - clustering, regression, optimizing and reinforcement learning, as well as design of experiments and evaluation. Students will learn how this knowledge is used in areas such as: building smart robots, computer vision and other applications.



Requisites

  • Complete the following:
    • CS2010 - Practical Programming Methodology (3)
    • MA1200 - Linear Algebra I (3)
    • ST1510 - Introduction to Applied Statistics I (3)

Course Timetable

L1

Fri from 11:30 to 14:20

Sep 3 2025 - Dec 20 2025

Grande Prairie Campus

Room G112

Instructor

Open: 2 of 20 spots filled

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A2

Tue, Thu from 8:30 to 9:50

Sep 3 2025 - Dec 20 2025

Grande Prairie Campus

Room G112

Instructor

Open: 2 of 20 spots filled

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Course Outlines

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