This program satisfies the requirements of the general Masters of Applied Science Electrical and Computer Engineering Program, but provides a concentration in Applied Artificial Intelligence by taking a minimum of 12 units of courses in the area. As electrical and computer engineers develop new generation systems, devices, applications and networks, it is critical to understand how to effectively, safely and responsibly leverage artificial intelligence theory and methodologies so to integrate them with system design and development. Core courses focus on Applied Machine Learning and Ethics for Design, AI, and Robotics. Furthermore, the students are able to specialize in option courses on deep learning, reinforcement learning, uncertainty, intelligence-enabled communications, autonomous, networked and multi-agent systems, adaptive signal processing, robotics, vision. and smart cities. Graduates of this concentration are equipped with the knowledge and skills to combine theory, research and practice in artificial intelligence to enable filling a wide range of career vacancies in industry, government and academia.
Main Areas of Research
Computer communications, multimedia and distributed systems
Computer-aided design for electronic circuits
Computer and software engineering
Wired-Wireless communications/networks
Microwave and electromagnetics
Signal, speech and image processing
Integrated circuits and devices
Machine Learning
Photonics systems
Biomedical engineering
Robotics and autonomous systems
Cybersecurity
Other Programs Offered Within the Same Discipline or in a Related Area
Master of Applied Science Electrical and Computer Engineering (MASc)
Master of Applied Science Electrical and Computer Engineering Specialization in Science, Society and Policy (MASc)
Master of Engineering Electrical and Computer Engineering (MEng)
Doctorate in Philosophy Electrical and Computer Engineering (PhD)