COMPSYS 306 - Artificial Intelligence and Machine Learning
Faculty
Engineering
Department
Electrical & Computer Engineer
Points:
15
Available Semesters:
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Course Components
Labs
Tutorials
Lectures
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Description: Fundamentals of artificial intelligence, including topics from artificial neural networks, fuzzy models, genetic algorithms. Using machine learning as an application of artificial intelligence to use data for training and inference, including topics from convolutional neural networks, deep learning, pattern classification and recognition.
Prerequisites / Restrictions
Prerequisite: COMPSYS 201, and COMPSYS 202 or SOFTENG 281
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