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

A2

Tue, Thu from 10:00 to 11:20

Sep 2 2026 - Dec 19 2026

Grande Prairie Campus

Room G112

Instructor

Cost

$621.21

Open: 4 of 20 spots filled

Add to timetable add
L1

Fri from 8:30 to 11:20

Sep 2 2026 - Dec 19 2026

Grande Prairie Campus

Room G112

Instructor

Open: 4 of 20 spots filled

Add to timetable add

Course Outlines

Find out everything you need to know about your upcoming or past courses. Understand the learning outcomes, evaluation methods, delivery mode, and prerequisites.

A2
Sep 2024 - Dec,
2024
Yehoshyna H
View all historical course outlines