Electrical and Computer Engineering

Electrical and Computer Engineering: Introduction

Faculty Affiliation

Applied Science and Engineering

Degree Programs

Electrical and Computer Engineering

MASc

  • Fields:
    • Biomedical Engineering;
    • Communications;
    • Computer Engineering;
    • Electromagnetics;
    • Electronics;
    • Energy Systems;
    • Photonics;
    • Systems Control
 
  • Emphases:
    • Robotics;
    • Sustainable Energy
 

MEng

  • Emphases:
    • Analytics;
    • Biomedical Engineering;
    • Communications;
    • Computer Engineering;
    • Electromagnetics;
    • Electronics;
    • Energy Systems;
    • Engineering and Globalization;
    • Entrepreneurship, Leadership, Innovation and Technology in Engineering (ELITE);
    • Identity, Privacy and Security (IPS);
    • Photonics;
    • Robotics;
    • Sustainable Energy;
    • Systems Control
 

PhD

  • Fields:
    • System Control
    • Biomedical Engineering;
    • Communications;
    • Computer Engineering;
    • Electromagnetics;
    • Electronics;
    • Energy Systems;
    • Photonics;
 
  • Emphases:
    • Robotics;
    • Sustainable Energy

Collaborative Specializations

The following collaborative specializations are available to students in participating degree programs as listed below:

Overview

During the past few decades, we have witnessed exciting new discoveries and developments in almost every aspect of electrical and computer engineering, including microelectronics, computers, communication networks, photonics, alternative energy systems, robotics, and many others. At the intersection of computers and communications there are opportunities that are limited only by our imagination. Along with these highly visible developments, there are equally impressive achievements in building the theoretical underpinnings of the respective areas of knowledge. Graduate studies provide the highly qualified individuals who are the lifeblood of the research leading to these advances.

The Department of Electrical and Computer Engineering is engaged in the pursuit and dissemination of knowledge across a wide range of areas of engineering and applied science — from the fabrication of atomic-level structures with special optical properties, through to the technologies that have revolutionized our world, such as microelectronics, computer systems, software, and networks.

The department conducts research in the following fields of study: Biomedical Engineering, Communications, Computer Engineering, Electromagnetics, Electronics, Energy Systems, Photonics, and System Control.

Contact and Address

Web: www.ece.utoronto.ca
Email: ecegradoffice@utoronto.ca
Telephone: (416) 978-5804
Fax: (416) 978-1145

The Edward S. Rogers Sr. Department of Electrical and Computer Engineering
University of Toronto
Sandford Fleming Building
Room 1107, 10 King's College Road
Toronto, Ontario M5S 3G4
Canada

Electrical and Computer Engineering: Graduate Faculty

Full Members

Aarabi, Parham - BASc, MASc, PhD
Abdelrahman, Tarek - BSc, MSc, PhD
Adve, Raviraj - BTech, PhD
Aitchison, J Stewart - BSc, PhD
Amza, Cristiana - BS, MS, PhD
Anderson, Jason Helge - BSc, MASc, PhD
Austin, Lisa - BA, BSc, LLB, MA, Chair in Law and Economics of Intellectual Property
Bardakjian, Berj - BSc, BEd, MASc, PhD
Betz, Vaughn - BSc, MS, PhD
Broucke, Mireille - BScEE, MS, PhD
Brown, Stephen - BSE, MASc, PhD
Chan Carusone, Anthony - BASc, PhD
Chapman, Margaret - PhD
Chau, Tom - PhD
Chechik, Marsha - BS, SM, PhD
Cheng, Hai-Ling - BSc, MS, PhD
Chow, Paul - BASc, MASc, PhD
Dawson, Francis - BSc, BASc, MASc, PhD
de Lara, Eyal - BS, MS, PhD
Draper, Stark - BA, PhD
Eleftheriades, George - DipIng, MSEE, PhD
Enright Jerger, Natalie - BSc, MSc, PhD
Frey, Brendan - BSc, MSc, PhD
Genov, Roman - BS, MS, PhD
Ghassemi, Marzyeh - PhD
Goel, Ashvin - BTech, MS, PhD
Gulak, Glenn - BASc, MSc, PhD
Hatzinakos, Dimitrios - DipIng, MSc, PhD
Helmy, Amr - BSc, MSc, PhD
Herman, Peter - BEng, MSc, PhD
Hooshyar, Ali - BSE, MSc, PhD
Hum, Sean - BSc, MSc, PhD, PEng
Iravani, Reza - BSc, MSc, PhD
Jacobsen, Hans-Arno - MCS, PhD
Johns, David Andrew - BASc, MASc, PhD
Kherani, Nazir - BASc, MASc, PhD
Khisti, Ashish - BASc, PhD
Kschischang, Frank - BASc, MASc, PhD
Kundur, Deepa - BASc, MASc, PhD (Chair and Graduate Chair)
Kwong, Raymond - SB, SM, PhD
Lehn, Peter - BScEE, MSc, PhD
Leon-Garcia, Alberto - BS, MS, PhD
Levi, Ofer - BSc, MSc, PhD
Li, Baochun - BEng, MSc, DPhil
Liang, Ben - BS, MS, PhD
Lie, David - BASc, MS, PhD
Liebeherr, Jorg - DipIng, PhD
Liscidini, Antonio - MSEE, DE
Lo, Hoi-Kwong - BA, MA, MS, PhD
Long, Fan - PhD
Maggiore, Manfredi - MS, PhD
Mann, Steve - BSc, BASc, MSc, PhD
Mojahedi, Mohammad - BSE, MS, PhD (Associate Chair, Graduate Studies)
Moshovos, Andreas - BSc, MS, PhD
Nachman, Adrian - BSc, MA, PhD
Najm, Farid - BE, MSEE, PhD
Ng, Wai Tung - BSc, MASc, PhD
Pavel, Lacra - BEng, PhD
Plataniotis, Konstantinos - DipIng, MS, PhD
Poon, Joyce - BASc, MS, PhD
Popovic, Milos - DipIng, PhD
Prodic, Aleksandar - BS, MSc, PhD
Qian, Li - BASc, MASc, PhD
Rose, Jonathan - BSc, MASc, PhD
Sargent, Edward - BEng, PhD
Sarris, Costas - BE, MS, PhD
Scardovi, Luca - MSc, PhD
Schroeder, Bianca - MSc, PhD
Sejdic, Ervin - PhD
Sheikholeslami, Ali - BSc, MASc, PhD
Simpson-Porco, John - BSc, PhD
Sousa, Elvino - BASc, MASc, PhD
Stumm, Michael - MS, PhD
Tate, Zeb - BS, MS, PhD
Taylor, Josh - BS, SM, PhD
Trescases, Olivier - BASc, MASc, PhD
Triverio, Piero - BScEE, MS, PhD
Truong, Kevin - BASc, PhD
Valaee, Shahrokh - BScEE, MSEE, PhD
Veneris, Andreas - BSc, MSc, PhD
Voinigescu, Sorin - MS, PhD
Wong, Willy - BSc, MSc, PhD
Yoo, Paul - BASc, MSc, PhD
Yu, Wei - BASc, MSEE, PhD
Yuan, Ding - PhD
Zhou, Shurui - PhD
Zhu, Jianwen - BS, MS, PhD

Members Emeriti

Blake, Ian - BASc, MASc, PhD
Bonert, Richard - DipIng, DE
Cobbold, Richard - PhD
Davison, Edward - BASc, MA, PhD, ARCT
Dmitrevsky, Sergi - BASc, AM, MASc, PhD
Iizuka, Keigo - BS, ME, MS, PhD
Kunov, Hans - MSc, PhD
Pasupathy, Subbarayan - BE, MPH, PhD
Salama, Andre - BASc, MASc, PhD
Semlyen, Adam - PhD, PhD
Smith, Kenneth - BASc, MASc, PhD
Smith, Peter - BSc, MSc, PhD
Vranesic, Zvonko - BASc, MASc, PhD
Wonham, Walter - BEng, PhD
Zaky, Safwat - BSc, BSc, MSc, PhD
Zukotynski, Stefan - MASc, PhD

Associate Members

Al Janaideh, Mohammad - PhD
Caldwell, Trevor - PhD
Chisholm, William - BASc, MEng, PhD
Eckford, Andrew - BE, MASc, PhD
Jeffrey, Mark Christopher - PhD, PhD
Lawryshyn, Yuri - DipIng, BASc, MASc, MBA, PhD
Ma, Tom - PhD
Makhzani, Alireza - PhD
Matsuura, Naomi - ME, PhD
Papernot, Nicolas - BS, MSc, PhD
Strauss, John - MD
Valiante, Taufik - BSc, MD, PhD
Yadollahi, Azadeh - DrEng

Electrical and Computer Engineering: Electrical and Computer Engineering MASc

Master of Applied Science

Program Description

The MASc provides students with an opportunity to pursue advanced studies in the particular area of interest and an opportunity to engage in research.

Minimum Admission Requirements

  • Applicants are admitted under the General Regulations of the School of Graduate Studies. Applicants must also satisfy the Department of Electrical and Computer Engineering's additional admission requirements stated below.

  • An appropriate bachelor's degree in electrical and computer engineering or its equivalent from a recognized university.

  • High academic standing equivalent to a mid-B or better, normally demonstrated by an average grade in the final year or over senior-level courses.

Program Requirements

  • Each student's program of study must receive the approval of the Department of Electrical and Computer Engineering and, in general, shall consist of a research or design project on which a thesis must be submitted.

  • During Year 1, students are required to attend the ECE Colloquium and complete JDE1000H Ethics in Research (0.0 FCE).

  • Coursework. Normally, completion of 2.5 graduate full-course equivalents (FCEs) or five half courses. Students whose undergraduate preparation does not include the study of subjects deemed to be necessary for research in the chosen area will be required to complete additional courses.

  • Thesis. This thesis shall demonstrate the student's ability to do independent work in relating, organizing, and extending existing techniques where required, and in suggesting and developing new approaches to problems in an area of applied science and engineering.

  • Students have the option of completing an emphasis in Robotics or Sustainable Energy as part of their degree program. Please see details in the Electrical and Computer Engineering MASc, MEng, PhD Emphases section.

Program Length

6 sessions full-time (typical registration sequence: F/W/S/F/W/S)

Time Limit

3 years full-time

Electrical and Computer Engineering: Electrical and Computer Engineering MEng

Master of Engineering

Program Description

The MEng program is designed to provide professional training beyond the undergraduate level and to accelerate careers with specialized engineering expertise needed in business, government, and industry.

The MEng program can be taken on a full-time, extended full-time, or part-time basis.

 

Full-Time Option

Minimum Admission Requirements

  • Applicants are admitted under the General Regulations of the School of Graduate Studies. Applicants must also satisfy the Department of Electrical and Computer Engineering's additional admission requirements stated below.

  • An appropriate bachelor's degree in electrical and computer engineering or its equivalent from a recognized university.

  • High academic standing equivalent to a mid-B or better, normally demonstrated by an average grade in the final year or over senior-level courses.

Program Requirements

  • Coursework. Normally, completion of 4.5 graduate full-course equivalents (FCEs) or nine half courses for applicants with adequate undergraduate preparation. At least 2.5 graduate FCEs or five half courses must be drawn from graduate courses offered by the Department of Electrical and Computer Engineering.

  • Students may choose to complete an engineering project with an equivalent value of 1.5 FCEs. Students choosing the project option will be required to complete a total of 3.0 FCEs in addition to the project. In order to pursue the project option, the student must secure a professor who will act as the supervisor throughout the project.

  • Students have the option of completing an emphasis in Analytics; Biomedical Engineering; Communications; Computer Engineering; Electromagnetics; Electronics; Energy Systems; Engineering and Globalization; Entrepreneurship, Leadership, Innovation and Technology in Engineering (ELITE); Identity, Privacy and Security (IPS); Photonics; Robotics; Sustainable Energy; or Systems Control as part of their degree program. Please see details in the Electrical and Computer Engineering MASc, MEng, PhD Emphases section.

Program Length

3 sessions (typical registration sequence: F/W/S)

Time Limit

3 years

 

Extended Full-Time Option

Minimum Admission Requirements

  • Applicants are admitted under the General Regulations of the School of Graduate Studies. Applicants must also satisfy the Department of Electrical and Computer Engineering's additional admission requirements stated below.

  • An appropriate bachelor's degree in electrical and computer engineering or its equivalent from a recognized university.

  • High academic standing equivalent to a mid-B or better, normally demonstrated by an average grade in the final year or over senior-level courses.

Program Requirements

  • Students are expected to complete the requirements in six sessions (two years) and are limited to six half courses per year and three half courses per session.

  • Coursework. Normally, completion of 4.5 graduate full-course equivalents (FCEs) or nine half courses for applicants with adequate undergraduate preparation. At least 2.5 graduate FCEs or five half courses must be drawn from graduate courses offered by the Department of Electrical and Computer Engineering.

  • Students may choose to complete an engineering project with an equivalent value of 1.5 FCEs. Students choosing the project option will be required to complete a total of 3.0 FCEs in addition to the project. In order to pursue the project option, the student must secure a professor who will act as the supervisor throughout the project.

  • Students have the option of completing an emphasis in Analytics; Biomedical Engineering; Communications; Computer Engineering; Electromagnetics; Electronics; Energy Systems; Engineering and Globalization; Entrepreneurship, Leadership, Innovation and Technology in Engineering (ELITE); Identity, Privacy and Security (IPS); Photonics; Robotics; Sustainable Energy; or Systems Control as part of their degree program. Please see details in the Electrical and Computer Engineering MASc, MEng, PhD Emphases section.

Program Length

6 sessions (typical registration sequence: F/W/S/F/W/S)

Time Limit

3 years

 

Part-Time Option

Minimum Admission Requirements

  • Applicants are admitted under the General Regulations of the School of Graduate Studies. Applicants must also satisfy the Department of Electrical and Computer Engineering's additional admission requirements stated below.

  • An appropriate bachelor's degree in electrical and computer engineering or its equivalent from a recognized university.

  • High academic standing equivalent to a mid-B or better, normally demonstrated by an average grade in the final year or over senior-level courses.

Program Requirements

  • Students normally complete the requirements in nine sessions (three years). They are limited to four half courses per year and two half courses per session.

  • Coursework. Normally, completion of 4.5 graduate full-course equivalents (FCEs) or nine half courses for applicants with adequate undergraduate preparation. At least 2.5 graduate FCEs or five half courses must be drawn from graduate courses offered by the Department of Electrical and Computer Engineering.

  • Students may choose to complete an engineering project with an equivalent value of 1.5 FCEs. Students choosing the project option will be required to complete a total of 3.0 FCEs in addition to the project. In order to pursue the project option, the student must secure a professor who will act as the supervisor throughout the project.

  • Students have the option of completing an emphasis in Analytics; Biomedical Engineering; Communications; Computer Engineering; Electromagnetics; Electronics; Energy Systems; Engineering and Globalization; Entrepreneurship, Leadership, Innovation and Technology in Engineering (ELITE); Identity, Privacy and Security (IPS); Photonics; Robotics; Sustainable Energy; or Systems Control as part of their degree program. Please see details in the Electrical and Computer Engineering MASc, MEng, PhD Emphases section.

Program Length

9 sessions

Time Limit

6 years

Electrical and Computer Engineering: Electrical and Computer Engineering PhD

Doctor of Philosophy

Program Description

The PhD program is designed for exceptional individuals who intend to pursue a career in fundamental or applied research.

Applicants may enter the PhD program via one of three routes: 1) following completion of the University of Toronto master's degree in Electrical and Computer Engineering or its equivalent from a recognized university; 2) transfer from the University of Toronto MASc program; or 3) direct entry for exceptionally qualified students with an appropriate bachelor's degree from a recognized university.

 

PhD Program

Minimum Admission Requirements

  • Applicants are admitted under the General Regulations of the School of Graduate Studies. Applicants must also satisfy the Department of Electrical and Computer Engineering's additional admission requirements stated below.

  • Admission may be granted for applicants with a University of Toronto master's degree in Electrical and Computer Engineering with an overall average of at least B+, or its equivalent from a recognized university.

  • The department must be satisfied of the student's ability to do advanced research before admission may be granted.

Program Requirements

  • Coursework. Normally, students who enter the PhD with a master's degree will complete 2.5 full-course equivalents (FCEs) not previously used for other degree credit. Students may receive a course reduction of up to 1.0 FCE depending on their PhD research needs in relation to their studies at the master's level. The number of required courses will be determined by the Associate Chair, Graduate Studies, in consultation with the PhD supervisor.

  • During Year 1, each student must:

    • pass a qualifying oral examination in the area of research;

    • attend the ECE Colloquium;

    • complete JDE1000H Ethics in Research (0.0 FCE) if they have not already done so in a previous University of Toronto master's program.

  • Thesis.

  • Students have the option of completing an emphasis in Robotics or Sustainable Energy as part of their degree program. Please see details in the Electrical and Computer Engineering MASc, MEng, PhD Emphases section.

Program Length

4 years

Time Limit

6 years

 

PhD Program (Transfer)

Transfer Requirements

  • Admission may be granted to applicants via transfer from the MASc to the PhD program, upon completion of 2.5 graduate full-course equivalents (FCEs) with an overall average of at least B+.

Program Requirements

  • Coursework. Normally, students who transfer from the MASc to the PhD will complete 1.5 graduate FCEs, in addition to courses completed while registered in the MASc program. Students may be required to complete up to 1.0 additional FCE depending on their PhD research needs in relation to their studies at the master's level. The number of required courses will be determined by the Associate Chair, Graduate Studies, in consultation with the PhD supervisor.

  • During Year 1, each student must:

    • pass a qualifying oral examination in the area of research;

    • attend the ECE Colloquium;

    • complete JDE1000H Ethics in Research (0.0 FCE) if they have not already done so in a previous University of Toronto master's program.

  • Thesis.

  • Students have the option of completing an emphasis in Robotics or Sustainable Energy as part of their degree program. Please see details in the Electrical and Computer Engineering MASc, MEng, PhD Emphases section.

Program Length

5 years

Time Limit

7 years

 

PhD Program (Direct-Entry)

Minimum Admission Requirements

  • Applicants are admitted under the General Regulations of the School of Graduate Studies. Applicants must also satisfy the Department of Electrical and Computer Engineering's additional admission requirements stated below.

  • Admission may be granted by direct entry for exceptionally qualified students with an appropriate bachelor's degree from a recognized university.

  • The department must be satisfied of the student's ability to do advanced research before admission may be granted.

Program Requirements

  • Coursework. Students must complete 4.0 graduate full-course equivalents (FCEs).

  • During Year 1, each student must:

    • pass a qualifying oral examination in the area of research;

    • attend the ECE Colloquium;

    • complete JDE1000H Ethics in Research (0.0 FCE) if they have not already done so in a previous University of Toronto master's program.

  • Thesis.

  • Students have the option of completing an emphasis in Robotics or Sustainable Energy as part of their degree program. Please see details in the Electrical and Computer Engineering MASc, MEng, PhD Emphases section.

Program Length

5 years

Time Limit

7 years

Electrical and Computer Engineering: Electrical and Computer Engineering MASc, MEng, PhD Emphases

Emphasis: Analytics (MEng only)

To be admitted to the emphasis in Analytics, MEng students must first successfully complete a prerequisite course APS1070H (0.5 full-course equivalent [FCE]).

Subsequently, to earn the emphasis, students must successfully complete four additional half courses (2.0 FCEs) from the list of core courses or elective courses. These must include at least one core course; the remaining courses must be selected from the list of elective courses.

Students must have completed the prerequisite course APS1070H before taking any of the core courses.

Prerequisite Course

APS1070H Foundations of Data Analytics and Machine Learning.

Core Courses

CHE1147H Data Mining in Engineering
ECE1513H Introduction to Machine Learning (exclusions: CSC411H, CSC2515H, ECE421H, ECE521H, ECE1504H)
MIE1624H Introduction to Data Science and Analytics
MSE1065H Application of Artificial Intelligence in Materials Design (exclusion: MSE1063H).

Elective Courses

APS502H, APS1005H, APS1017H, APS1022H, APS1040H, APS1050H, APS1051H, APS1052H, APS1053H, APS1080H,
CHE507H, CHE1108H, CHE1148H, CHE1434H,
CIV1504H, CIV1506H, CIV1507H, CIV1532H, CIV1538H,
ECE537H, ECE1504H (exclusions: CSC411H, CSC2515H, ECE421H, ECE521H, ECE1513H), ECE1505H, ECE1510H, ECE1657H, ECE1778H, ECE1779H,
MIE562H, MIE1413H, MIE1501H, MIE1512H, MIE1513H, MIE1517H, MIE1620H, MIE1621H, MIE1622H, MIE1623H, MIE1628H, MIE1653H, MIE1721H, MIE1723H, MIE1727H,
MSE1063H (exclusion: MSE1065H).

 

Emphasis: Biomedical Engineering (MEng only)

MEng students must successfully complete at least four courses from those listed below. Students may double-count one course at most towards any ECE emphasis.

  • Any JEB14XXH course

  • ECE1774H Sensory Cybernetics

  • ECE2500Y Master of Engineering Project (topic in biomedical engineering; counts as one course towards the emphasis).

Students may include other biomedical engineering-related courses subject to the approval of the ECE Associate Chair for Graduate Studies.

 

Emphasis: Communications (MEng only)

MEng students must successfully complete at least four courses from those listed below. Students may double-count one course at most towards any ECE emphasis.

  • ECE537H Random Processes

  • Any ECE15XXH course

  • ECE2500Y Master of Engineering Project (topic in communications; counts as one course towards the emphasis).

 

Emphasis: Computer Engineering (MEng only)

MEng students must successfully complete at least four courses from those listed below. Students may double-count one course at most towards any ECE emphasis.

  • ECE516H Intelligent Image Processing

  • ECE532H Digital Systems Design

  • ECE540H Optimizing Compilers

  • ECE552H Computer Architecture

  • ECE568H Computer Security

  • Any ECE17XXH course

  • ECE2500Y Master of Engineering Project (topic in computer engineering; counts as one course towards the emphasis).

 

Emphasis: Electromagnetics (MEng only)

MEng students must successfully complete at least four courses from those listed below. Students may double-count one course at most towards any ECE emphasis.

  • Any ECE12XXH course

  • ECE2500Y Master of Engineering Project (topic in electromagnetics; counts as one course towards the emphasis).

 

Emphasis: Electronics (MEng only)

MEng students must successfully complete at least four courses from those listed below. Students may double-count one course at most towards any ECE emphasis.

  • ECE530H Analog Integrated Circuits

  • Any ECE13XXH course

  • ECE2500Y Master of Engineering Project (topic in electronics; counts as one course towards the emphasis).

 

Emphasis: Energy Systems (MEng only)

MEng students must successfully complete at least four courses from those listed below. Students may double-count one course at most towards any ECE emphasis.

  • ECE510H Introduction to Lighting Systems

  • ECE514H Power Electronics: Converter Topologies

  • ECE533H Power Electronics

  • Any ECE10XXH course

  • ECE2500Y Master of Engineering Project (topic in energy systems; counts as one course towards the emphasis).

 

Emphasis: Engineering and Globalization (MEng only)

MEng students must successfully complete four half courses (2.0 full-course equivalents [FCEs]) from the following lists, with at least two half courses (or one full course) taken from Group A.

Group A

APS510H, APS530H, APS1420H, JCR1000Y (full-year course).

Group B

APS1015H, APS1020H, APS1024H, CHL5700H, CIV1399H, JMG2020H.

Note: Students who choose to pursue an MEng project in their home department that aligns with the Centre for Global Engineering (CGEN)'s disciplinary focus, as deemed by the CGEN Director, may count the project as one required Group B course.

Students who complete the requirements of the emphasis in Engineering and Globalization and wish to obtain a notation on their transcripts should contact the Faculty Graduate Studies office.

 

Emphasis: Entrepreneurship, Leadership, Innovation and Technology in Engineering (ELITE) (MEng only)

MEng students must successfully complete any four of the following courses (2.0 full-course equivalents [FCEs]):

Leadership

TEP1010H, TEP1011H, TEP1026H, TEP1027H, TEP1029H, TEP1030H, TEP1501H, TEP1502H, TEP1601H.

Entrepreneurship and Innovation

APS1012H, APS1013H, APS1015H, APS1023H, APS1033H, APS1035H, APS1036H, APS1041H, APS1061H, APS1088H.

Finance and Management

AER1601H, APS502H, APS1001H, APS1004H, APS1005H, APS1009H, APS1016H, APS1017H, APS1020H, APS1022H, APS1028H, APS1032H, APS1038H, APS1039H, APS1040H, APS1043H, APS1049H, APS1050H, APS1051H, APS1052H.

Engineering and Society

APS510H, APS1018H, APS1024H, APS1025H, APS1031H, APS1034H, APS1101H, APS1420H.

 

Emphasis: Identity, Privacy and Security (IPS) (MEng only)

MEng students must successfully complete four half courses (2.0 full-course equivalents [FCEs]) as follows:

  • JIE1001H/ECE1518H Seminar in Identity, Privacy, and Security (0.5 FCE)

  • Two courses (1.0 FCE) from:

    • ECE568H, ECE1517H, ECE1529H, ECE1776H, ECE1778H

  • And one course (0.5 FCE) from:

    • INF2124H, INF2181H, INF2241H.

 

Emphasis: Photonics (MEng only)

MEng students must successfully complete at least four courses from those listed below. Students may double-count one course at most towards any ECE emphasis.

  • ECE527H Photonic Devices

  • Any ECE14XXH course

  • ECE2500Y Master of Engineering Project (topic in photonics; counts as one course towards the emphasis).

 

Emphasis: Robotics (MASc, MEng, PhD)

Students must successfully complete four courses (2.0 full-course equivalents [FCEs]) chosen from at least two of the following groups, and no more than two in any given group:

Group 1: Planning and Control

AER1516H, AER1517H,
ECE557H (exclusion: ECE410H), ECE1619H, ECE1635H, ECE1636H, ECE1647H, ECE1653H, ECE1657H,
MIE1064H, MIE1068H.

Group 2: Perception and Learning

AER1513H, AER1515H,
CSC2503H, CSC2506H, CSC2515H, CSC2541H, CSC2548H,
ECE516H, ECE521H, ECE1511H, ECE1512H,
JEB1433H,
ROB501H.

Group 3: Modelling and Dynamics

AER1503H, AER1512H, AER506H,
JEB1444H,
MIE1001H.

Group 4: Systems Design and Integration

AER525H (exclusion: ECE470H), AER1216H, AER1217H,
CSC2621H,
ECE470H (exclusion: AER525H),
MIE505H, MIE506H, MIE1070H, MIE1075H, MIE1076H, MIE1080H, MIE1809H,
ROB521H, ROB1514H.

 

Emphasis: Sustainable Energy (MASc, MEng, PhD)

MASc and PhD students must successfully complete:

  • At least three half courses (1.5 full-course equivalents [FCEs]) from either of the following lists below.

  • A thesis towards their degree on a topic related to sustainable energy. Topics must be approved by the steering committee of the Institute of Sustainable Energy. Contact: Mandeep Rayat.

MEng students must successfully complete:

  • Four half courses (2.0 FCEs) from either of the following lists below, including at least one core course (0.5 FCE).

Core Courses

APS1032H Introduction to Energy Project Management,
MIE515H Alternative Energy Systems,
MIE1120H Current Energy Infrastructure and Resources.

Elective Courses

AER507H, AER1304H, AER1315H, AER1415H,
CHE568H, CHE1053H, CHE1118H, CHE1123H, CHE1142H, CHE1143H,
CIV575H, CIV576H, CIV577H, CIV1303H, CIV1307H,
ECE533H, ECE1030H, ECE1055H, ECE1057H, ECE1059H, ECE1085H, ECE1086H, ECE1092H, ECE1094H, ECE1476H,
MIE516H, MIE517H, MIE1128H, MIE1129H, MIE1130H, MIE1240H, MIE1241H, MIE1715H,
MSE1023H, MSE1028H, MSE1058H.

Students who complete the requirements of the emphasis in Sustainable Energy will receive a notation on their transcript from the Faculty Graduate Studies Office following a recommendation from the Institute of Sustainable Energy. Contact: Mandeep Rayat.

 

Emphasis: Systems Control (MEng only)

MEng students must successfully complete at least four courses from those listed below. Students may double-count one course at most towards any ECE emphasis.

  • ECE557H Systems Control

  • Any ECE16XXH course

  • ECE2500Y Master of Engineering Project (topic in systems control; counts as one course towards the emphasis).

Electrical and Computer Engineering: Electrical and Computer Engineering MASc, MEng, PhD Courses

The following groups of courses in the more distinct fields of graduate study in electrical and computer engineering are presented for student guidance in selecting courses. Suitable courses offered by other departments may be selected subject to the approval of the Department of Electrical and Computer Engineering. Students registered in a graduate degree program which involves research are required to complete the seminar course JDE1000H Ethics in Research during their first year of registration. The department should be consulted each session as to course offerings.

Energy Systems

ECE533H
Power Electronics
ECE1030H
Space Vector Theory and Control
ECE1049H
Special Topics in Energy Systems
ECE1055H
Dynamics of HVdc/ac Transmission Systems
ECE1066H
Design of High-Frequency Switch-Mode Power Supplies (SMPS)
ECE1068H
Introduction to EMC
ECE1085H
Power System Optimization
ECE1086H
Power Management for Photovoltaic Systems
ECE1094H
Power System Operations and Economics

Electromagnetics

ECE1228H
Electromagnetic Theory
ECE1229H
Advanced Antenna Theory
ECE1243H
Topics in Electromagnetic Waves
ECE1252H
Introduction to Computational Electrodynamics
ECE1254H
Modeling of Multiphysics Systems
ECE1256H
Microwave Circuits

Electronics

ECE534H
Integrated Circuit Engineering
ECE1334H
Selected Topics in Solid State Electronics/VLSI Technology
ECE1336H
Semiconductor Physics
ECE1352H
Analog Circuit Design I
ECE1360H
Selected Topics in Instrumentation
ECE1365H
High Frequency Integrated Circuits
ECE1371H
Advanced Topics in Analog Circuits
ECE1373H
Digital Design for Systems-on-Chip
ECE1379H
Introduction to Compound Semiconductor Devices
ECE1385H
Selected Topics in VLSI Systems
ECE1387H
CAD for Digital Circuit Synthesis and Layout
ECE1388H
VLSI Design Methodology
ECE1391H
Advanced Microelectronic Devices
ECE1392H
Integrated Circuits for Digital Communications
ECE1393H
Semiconductor Devices
ECE1395H
Power Semiconductor Devices and Applications
ECE1396H Analog Signal Processing Circuits
ECE1397H Analog Integrated Circuits
ECE1398H VLSI Technology

Biomedical Engineering

JEB1365H
Ultrasound: Theory and Applications in Biology and Medicine
JEB1433H
Medical Imaging
JEB1444H
Neural Engineering
JEB1447H
Sensory Communications
MIE1452H
Signal Processing for Bioengineering

Photonics

ECE525H
Lasers and Detectors
ECE527H
Passive Photonic Devices
ECE1448H
Quantum Mechanics for Engineers
ECE1450H
Ultrafast Photonics
ECE1460H
Special Topics in Photonics
ECE1461H
Advanced Laser Processing
ECE1467H
Integrated Optical Circuit Design
ECE1473H
Micro and Nano Fabrication Technologies for Compound Semiconductors
ECE1475H
Bio Photonics
ECE1476H
Solar Energy Capture and Storage in Natural and Engineered Systems
ECE1477H
Optical Interconnects
ECE1478H
Lasers and Detectors

Communications

ECE537H
Random Processes
ECE1501H
Error Control Codes
ECE1502H
Information Theory
ECE1503H
Graphs, Error-Correction Coding, and Inference
ECE1504H
Statistical Learning (exclusions: CSC411H, CSC2515H, ECE421H, ECE521H, and ECE1513H)
ECE1505H
Convex Optimization
ECE1508H
Special Topics in Communications
ECE1511H
Signal Processing
ECE1512H
Digital Image Processing and Applications
ECE1513H
Introduction to Machine Learning
(prerequisites: STA286H or ECE302H or equivalent; exclusions: CSC411H, CSC2515H, ECE421H, ECE521H, and ECE1504H)
ECE1517H
Biometric Systems
ECE1518H
Seminar in Identity, Privacy, and Security
ECE1520H
Data Communications I
ECE1521H
Detection and Estimation Theory
ECE1522H
Data Communications II
ECE1529H
Adaptive Systems for Signal Processing and Communications
ECE1531H
Quantum Information Theory
ECE1541H
Communication Networks I
ECE1542H
Communication Networks II
ECE1543H
Mobile Communications Systems
ECE1545H
Bridges and Routers Planning
ECE1548H
Advanced Network Architectures
ECE1549H
Stochastic Networks
ECE1552H Modern Mobile Air Interfaces (prerequisite: ECE316H)

Systems Control

ECE557H
Systems Control
ECE1619H
Linear Geometric Control Theory
ECE1635H
Special Topics in Control I
ECE1636H
Control of Discrete-Event Systems I
ECE1637H
Control of Discrete-Event Systems II
ECE1639H
Analysis and Control of Stochastic Systems I
ECE1647H
Introduction to Nonlinear Control Systems
ECE1648H
Nonlinear Control Systems
ECE1653H
Hybrid Systems and Control Applications
ECE1656H
Nonlinear Modeling and Analysis of Biological Systems
ECE1657H
Game Theory and Evolutionary Games

Computer Engineering

ECE516H
Personal Cybernetics and Intelligent Imaging Systems
ECE532H
Digital Hardware
ECE540H
Optimizing Compilers
ECE1718H
Special Topics in Computer Hardware Design
ECE1749H
Interconnection Networks for Parallel Computer Architectures
ECE1754H
Compilation Techniques for Parallel Processors
ECE1755H
Parallel Computer Architecture and Programming
ECE1756H
Reconfigurable Computing and FPGA Architecture
ECE1762H
Algorithms and Data Structures
ECE1767H
Design for Test and Testability
ECE1769H
Behavioural Synthesis of Digital Integrated Circuits
ECE1770H
Trends in Middleware Systems — Selected Topics and Concepts
ECE1771H
Quality of Service
ECE1774H
Sensory Cybernetics
ECE1776H
Computer Security, Cryptography, and Privacy
ECE1777H
Computer Methods for Circuit Simulation
ECE1778H
Creative Applications for Mobile Devices
ECE1780H
Advanced Mobile User Interfaces
ECE1781H
Dependable Software Systems (prerequisite: ECE344H Operating Systems or similar)
ECE1782H
Programming Massively Parallel Multiprocessors and Heterogeneous Systems
ECE1783H Design Tradeoffs in Digital Systems
ECE1784H Trustworthy Machine Learning
ECE1785H Empirical Software Engineering

Master of Engineering

ECE1092H
Smart Grid Case Studies
ECE1093H
Electrical Insulation Design and Coordination
ECE1095H
Grounding and Bonding
ECE1394H
Technical Management of Modern IC Design
ECE1524H
Service Provider Networks
ECE1551H
Mobile Broadband Radio Access Network (prerequisite: ECE316H; exclusion: ECE1508H)
ECE1779H
Introduction to Cloud Computing
ECE2500Y
Master of Engineering Project

Reading Course

ECE1001H Readings in Cognate Subjects

APS Engineering Course

APS1012H Managing Business Innovation and Transformational Change
APS1041H Inventrepreneurship (Invention and Entrepreneurship)
APS1043H Writing Your Own Patent Application
APS1070H Foundations of Data Analytics and Machine Learning