COMPSYS 306 - Artificial Intelligence and Machine Learning

Course Overview

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Faculty

Engineering

Department

Electrical & Computer Engineer

Points:

15

Available Semesters:

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Course Components

Labs

Tutorials

Lectures

Exam

TBLs

Workshops

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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