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Minor Electrical Engineering (24 credits)

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Note: This is the 2019–2020 eCalendar. Update the year in your browser's URL bar for the most recent version of this page, or .

Offered by: Electrical & Computer Engr     Degree: Bachelor of Science

Program Requirements

[Program registration done by Student Affairs Office]

The Minor program does not carry professional recognition. Only students who satisfy the requirements of the Major Physics are eligible for this Minor. Students registered for this option cannot count PHYS 241 toward the requirements of the Major in Physics, and should replace this course by another Physics or Mathematics course. Students who select ECSE 334 in the Minor cannot count PHYS 328 toward the requirements of the Major in Physics, and should replace this course by another Physics or Mathematics course.

Required Courses (12 credits)

  • ECSE 200 Electric Circuits 1 (3 credits)

    Offered by: Electrical & Computer Engr (Faculty of Engineering)

    Overview

    Electrical Engineering : Circuit variables. Analysis of resistive circuits, network theorems (Kirchhoff’s laws, Ohm’s law, Norton and Thevenin equivalent). Ammeters, Voltmeters, and Ohmmeters. Analysis methods (nodal and mesh analysis, linearity, superposition). Dependent sources and Op-Amps. Energy storage elements. First and second order circuits.

    Terms: Fall 2019, Winter 2020

    Instructors: Davis, Donald Peter (Fall) Michalska, Hannah (Winter)

    • (4-2-3)

    • Prerequisite: PHYS 142 or CEGEP equivalent.

    • Corequisite: MATH 263

    • Tutorials assigned by instructor.

  • ECSE 210 Electric Circuits 2 (3 credits)

    Offered by: Electrical & Computer Engr (Faculty of Engineering)

    Overview

    Electrical Engineering : Second-order circuits. Sinusoidal sources and phasors. AC steady-state analysis. AC steady-state power. Laplace transform. Circuit analysis in the s-Domain. Two-port circuits. Elementary continuous signals, impulse functions, basic properties of continuous linear time-invariant (LTI) systems. Frequency analysis of continuous-time LTI systems.

    Terms: Fall 2019, Winter 2020

    Instructors: Bhadra, Sharmistha (Fall) Bhadra, Sharmistha (Winter)

  • ECSE 303 Signals and Systems 1 (3 credits)

    Offered by: Electrical & Computer Engr (Faculty of Engineering)

    Overview

    Electrical Engineering : Elementary continuous and discrete-time signals, impulse functions, basic properties of discrete and continuous linear time-invariant (LTI) systems, Fourier representation of continuous-time periodic and aperiodic signals, the Laplace transform, time and frequency analysis of continuous-time LTI systems, application of transform techniques to electric circuit analysis.

    Terms: This course is not scheduled for the 2019-2020 academic year.

    Instructors: There are no professors associated with this course for the 2019-2020 academic year.

  • ECSE 330 Introduction to Electronics (3 credits)

    Offered by: Electrical & Computer Engr (Faculty of Engineering)

    Overview

    Electrical Engineering : Introduction to electronic circuits using operational amplifiers, PN junction diodes, bipolar junction transistors (BJTs), and MOS field-effect transistors (MOSFETs), including: terminal characteristics, large- and small-signal models; configuration and frequency response of single-stage amplifiers with discrete biasing. Introduction to SPICE. Simulation experiments.

    Terms: This course is not scheduled for the 2019-2020 academic year.

    Instructors: There are no professors associated with this course for the 2019-2020 academic year.

    • (3-2-4)

    • Prerequisite: ECSE 210

    • Tutorials assigned by instructor.

Complementary Courses (12 credits)

3 credits from the following and 9 credits of ECSE courses at the 200, 300, or 400 level subject to approval by the Department of Electrical and Computer Engineering.

  • ECSE 305 Probability and Random Signals 1 (3 credits)

    Offered by: Electrical & Computer Engr (Faculty of Engineering)

    Overview

    Electrical Engineering : The basic probability model, the heuristics of model-building and the additivity of probability; classical models; conditional probability and Bayes rule; random variables and vectors, distribution and density functions, expectation; statistical independence, laws of large numbers, central limit theorem; introduction to random processes and random signal analysis.

    Terms: This course is not scheduled for the 2019-2020 academic year.

    Instructors: There are no professors associated with this course for the 2019-2020 academic year.

  • ECSE 334 Introduction to Microelectronics (3 credits)

    Offered by: Electrical & Computer Engr (Faculty of Engineering)

    Overview

    Electrical Engineering : Single-stage integrated-circuit amplifiers; differential and multistage amplifiers, integrated-circuit biasing techniques; non-ideal characteristics, frequency response; feedback amplifiers, output stages; digital CMOS logic circuits.

    Terms: Fall 2019

    Instructors: Roberts, Gordon W (Fall)

Faculty of Science—2019-2020 (last updated Aug. 20, 2019) (disclaimer)
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