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 3MA1200 Linear Algebra I 3ST1510 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 HYehoshyna 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 HYehoshyna 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 Course Outline PDF download View all historical course outlines
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