Mathematical Foundations for Electrical and Computer Engineering

This course is a refresher of the mathematical foundations required for understanding and devising methods used in electrical and computer engineering disciplines and machine learning models. This first instance of this course will review concepts linear algebra, signals and systems, vector calculus, probability and random processes, and graphs. The course also serves as a service course for other graduate courses in which students are assumed to have a firm grasp of those foundations. The target audience are mainly Master’s students, including those who are returning to school after working in industry for example.

3 credits

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