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 HYehoshyna Open: 2 of 20 spots filled Add to timetable add A2 Tue, Thu from 8:30 to 9:50 Sep 3 2025 - Dec 20 2025 Grande Prairie Campus Room G112 Instructor HYehoshyna Open: 2 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. View all historical course outlines
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