Sign-in Links
ELEC 825 Machine Learning and Deep Learning
Basic machine learning concepts in supervised and unsupervised learning; discriminative and generative models; backpropagation, FFN, CNN, RNN, autoencoders; regularization technologies; attention-based models, Transformer, Capsule Networks; pretraining and selfsupervised models; Generative Adversarial Networks (GANs), variational autoencoders; applications.
PREREQUISITE: ELEC 326 or equivalent, or permission of the instructor.
Electrical and Computer Engineering
The Department of Electrical and Computer Engineering is housed in Walter Light Hall which provides over 5,400 square meters of modern research, teaching and classroom facilities. The building is linked to Goodwin Hall which houses the School of Computing. Additional space for undergraduate laboratories and research is located in Beamish-Munro Hall.
Electrical Engineering (ELEC)
https://www.queensu.ca/academic-calendar/graduate-studies/courses-instruction/elec/
All courses except ELEC 898 , ELEC 899 and ELEC 999 are 3.0 credit units. Not all courses are offered every year.
Electrical and Computer Engineering - Master of Applied Science
This is a thesis/research based Master's program. The minimum requirement are a research thesis, a seminar course, and 4 term-length graduate-level courses, of which two courses must be selected from graduate courses offered by the Department of Electrical and Computer Engineering. Of the remaining two courses, one course may be a senior 4th year undergraduate course provided that: