Electrical Engineering (Non-Thesis): Applied Artificial Intelligence (M.Eng.) (45 credits)
McGill University · QC · ELECTRICAL-ENGINEERING-NON-THESIS-MENG-A
Electrical Engineering (Non-Thesis): Applied Artificial Intelligence (M.Eng.) (45 credits) is a Masters degree at McGill University, QC. It covers areas like machine learning, deep learning, statistical learning, embedded systems, artificial intelligence, computational mathematics. The summary below is compiled from public course information — approximate, not official.
McGill University
Masters
What you'll study in Electrical Engineering (Non-Thesis): Applied Artificial Intelligence (M.Eng.) (45 credits)
Example subjects: Matrix Computations, Natural Language Understanding with Deep Learning, Brain-Inspired Artificial Intelligence, Fundamentals of Computer Vision, Machine Learning in Genomics and Healthcare, Reinforcement Learning, Intelligent Software Systems, Probabilistic Graphical Models, Machine Learning Applied to Climate Change, Mathematical Foundations of Systems, Linear Systems, Stochastic Control and Decision Theory.
Frequently asked questions
What will I study in Electrical Engineering (Non-Thesis): Applied Artificial Intelligence (M.Eng.) (45 credits)?
Electrical Engineering (Non-Thesis): Applied Artificial Intelligence (M.Eng.) (45 credits) covers areas like machine-learning, statistical-learning, embedded-systems, artificial-intelligence, deep-learning, computational-mathematics, computer-vision, computational-biology.
Who offers Electrical Engineering (Non-Thesis): Applied Artificial Intelligence (M.Eng.) (45 credits)?
Electrical Engineering (Non-Thesis): Applied Artificial Intelligence (M.Eng.) (45 credits) is offered by McGill University, QC.
Considering Electrical Engineering (Non-Thesis): Applied Artificial Intelligence (M.Eng.) (45 credits)?
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Sources: McGill University official course page. Information is compiled and summarised — not copied verbatim — and is approximate; always confirm with the original source.
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