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:
    • Sustainable Energy

MEng

  • Emphases:
    • Biomedical Engineering;
    • Communications;
    • Computer Engineering;
    • Data Analytics and Machine Learning;
    • 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:
    • 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

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, Ravi - BTech, PhD
Aitchison, J. Stewart - BSc, PhD
Anderson, Jason Helge - BSc, MASc, PhD
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
Chechik, Marsha - BS, SM, PhD
Cheng, Hai-Ling - BSc, MS, PhD
Dawson, Francis - BSc, BASc, MASc, PhD
Draper, Stark - BA, PhD
Eleftheriades, George - DipIng, MSEE, PhD
Enright Jerger, Natalie - BSc, MSc, PhD
Frey, Brendan - BSc, MSc, PhD
Garcia-Luna-Aceves, J.J. - PhD
Genov, Roman - BS, MS, 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
Hum, Sean - BSc, MSc, PhD, PEng
Iravani, Reza - BSc, MSc, PhD
Jacobsen, Hans-Arno - MCS, PhD
Jeffrey, Mark Christopher - PhD, 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)
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, Mo - 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
Papernot, Nicolas - BS, MSc, PhD
Pavel, Lacra - BEng, PhD
Plataniotis, Konstantinos - DipIng, MS, PhD
Poon, Joyce - BASc, MS, PhD
Prodic, Aleksandar - BS, MSc, PhD
Qian, Li - BASc, MASc, PhD
Rose, Jonathan - BSc, MASc, PhD
Ruda, Harry - BSc, PhD
Sargent, Edward - BEng, PhD
Sarris, Costas - BE, MS, PhD
Scardovi, Luca - MSc, PhD
Sejdic, Ervin - PhD, PhD
Sheikholeslami, Ali - BSc, MASc, PhD
Sousa, Elvino - BASc, MASc, PhD
Stumm, Michael - MS, PhD
Sun, Yu - BS, MS, 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
Chow, Paul - BASc, MASc, PhD
Cobbold, Richard - PhD
Davison, Edward - BASc, MA, PhD, ARCT
Iizuka, Keigo - BS, ME, MS, PhD
Kunov, Hans - MSc, PhD
Kwong, Raymond - SB, SM, PhD
Pasupathy, Subbarayan - BE, MPH, PhD
Salama, Andre - BASc, MASc, PhD
Semlyen, Adam - PhD, PhD
Smith, Peter - BSc, MSc, PhD
Vranesic, Zvonko - BASc, MASc, PhD
Wonham, Walter - BEng, PhD
Zukotynski, Stefan - MASc, PhD

Associate Members

Al Janaideh, Mohammad - PhD
Asare, Philip - BScEE, MSEE, PhD
Bereyhi, Ali - PhD
Chisholm, William - BASc, MEng, PhD
de Lara, Eyal - BS, MS, PhD
Dong, Min - BEng, PhD
Eckford, Andrew - BE, MASc, PhD
Emara, Salma - PhD
Eyolfson, Jonathan - PhD
Gibson, Courtney - BASc, MASc
Goldenberg, Anna - PhD, PhD
Lawryshyn, Yuri - DipIng, BASc, MASc, MBA, PhD
Lee, Chi-Guhn - DPhil
Liu, Xilin - PhD
Makhzani, Alireza - PhD
Maljevic, Ivo - PhD
Shokrollah-Timorabadi, Hamid - PhD
Sivanandam, Suresh - PhD
Stickel, Micah - BASc, MASc, PhD
Strauss, John - MD
Tavallaei, Mohammad Ali - PhD
Valiante, Taufik - BSc, MD, PhD
Zhang, Xiao-ping - PhD
Zukotynski, Katherine - MD, PhD

Electrical and Computer Engineering: Electrical and Computer Engineering MASc

The Master of Applied Science (MASc) program provides students with an opportunity to pursue advanced studies in the particular area of interest and an opportunity to engage in research.

MASc 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.

  • 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.

Completion 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.

  • 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 Sustainable Energy as part of their degree program. Please see details in the Electrical and Computer Engineering MASc, MEng, PhD Emphases section.

Mode of Delivery: In person
Program Length: 6 sessions full-time (typical registration sequence: FWS-FWS)
Time Limit: 3 years full-time

 

Electrical and Computer Engineering: Electrical and Computer Engineering MEng

The Master of Engineering (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.

MEng Program (Full-Time and Part-Time Options)

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.

Completion 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.

  • Part-time students normally complete the requirements in nine sessions (three years). The limit is four half courses per year and two half courses per session.

  • Students have the option of completing an emphasis in Biomedical Engineering; Communications; Computer Engineering; Data Analytics and Machine Learning; 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 Emphases section.

Mode of Delivery: In person
Program Length: 3 sessions full-time (typical registration sequence: FWS); 9 sessions part-time
Time Limit: 3 years full-time; 6 years part-time

 

MEng Program (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.

Completion 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 are expected to complete the requirements in six sessions (two years). The limit is six half courses per year and three half courses per session.

  • Students have the option of completing an emphasis in Biomedical Engineering; Communications; Computer Engineering; Data Analytics and Machine Learning; 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 Emphases section.

Mode of Delivery: In person
Program Length: 6 sessions full-time (typical registration sequence: FWS-FWS)
Time Limit: 3 years full-time

 

Electrical and Computer Engineering: Electrical and Computer Engineering PhD

The Doctor of Philosophy (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.

Completion 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 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 Sustainable Energy as part of their degree program. Please see details in the Electrical and Computer Engineering MASc, MEng, PhD Emphases section.

Mode of Delivery: In person
Program Length: 4 years full-time (typical registration sequence: Continuous)
Time Limit: 6 years full-time

 

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+.

Completion 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 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 Sustainable Energy as part of their degree program. Please see details in the Electrical and Computer Engineering MASc, MEng, PhD Emphases section.

Mode of Delivery: In person
Program Length: 5 years full-time (typical registration sequence: Continuous)
Time Limit: 7 years full-time

 

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.

Completion 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 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 Sustainable Energy as part of their degree program. Please see details in the Electrical and Computer Engineering MASc, MEng, PhD Emphases section.

Mode of Delivery: In person
Program Length: 5 years full-time (typical registration sequence: Continuous)
Time Limit: 7 years full-time

 

Electrical and Computer Engineering: Emphases

Biomedical Engineering

Participating Programs:
  • Electrical and Computer Engineering MEng

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.

 

Communications

Participating Programs:
  • Electrical and Computer Engineering MEng

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.

  • ECE537H1 Random Processes

  • Any ECE15XXH course

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

 

Computer Engineering

Participating Programs:
  • Electrical and Computer Engineering MEng

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.

  • ECE516H1 Intelligent Image Processing

  • ECE532H1 Digital Systems Design

  • ECE552H1 Computer Architecture

  • ECE568H1 Computer Security

  • Any ECE17XXH course

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

 

Data Analytics and Machine Learning

Participating Programs:
  • Chemical Engineering and Applied Chemistry MEng
  • Civil Engineering MEng
  • Electrical and Computer Engineering MEng
  • Mechanical and Industrial Engineering MEng
  • Materials Science and Engineering MEng

To be admitted to the emphasis in Data Analytics and Machine Learning, 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,
MIE1624H Introduction to Data Science and Analytics,
MIE1626H Data Science Methods and Statistical Learning,
MSE1065H Application of Artificial Intelligence in Materials Design.

Elective Courses

APS502H1, APS1005H, APS1017H, APS1022H, APS1050H, APS1051H, APS1052H, APS1053H, APS1080H,
BME1570H,
CEM1002H,
CHE507H1, CHE1108H, CHE1148H, CHE1434H,
CIV1504H, CIV1506H, CIV1507H, CIV1532H, CIV1538H, CIV1599H,
ECE537H1, ECE1504H, ECE1505H, ECE1657H, ECE1779H, ECE1786H,
MIE562H1, MIE1077H, MIE1413H, MIE1501H, MIE1512H, MIE1513H, MIE1517H, MIE1520H, MIE1620H, MIE1621H, MIE1622H, MIE1623H, MIE1625H, MIE1628H, MIE1653H, MIE1666H, MIE1721H, MIE1727H, MIE1769H,
MSE1063H.

 

Electromagnetics

Participating Programs:
  • Electrical and Computer Engineering MEng

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).

 

Electronics

Participating Programs:
  • Electrical and Computer Engineering MEng

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 ECE13XXH course

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

 

Energy Systems

Participating Programs:
  • Electrical and Computer Engineering MEng

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 ECE10XXH course

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

 

Engineering and Globalization

Participating Programs:
  • Aerospace Science and Engineering MEng
  • Biomedical Engineering MEng
  • Chemical Engineering and Applied Chemistry MEng
  • Civil Engineering MEng
  • Electrical and Computer Engineering MEng
  • Mechanical and Industrial Engineering MEng
  • Materials Science and Engineering MEng

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

APS510H1, APS530H1, APS1420H, JCR1000Y (full-year course).

Group B

APS1015H, APS1020H, APS1024H, CHL5700H, CIV1399H.

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 transcript should contact the Faculty Graduate Studies office.

 

Entrepreneurship, Leadership, Innovation and Technology in Engineering

Participating Programs:
  • Aerospace Science and Engineering MEng
  • Biomedical Engineering MEng
  • Chemical Engineering and Applied Chemistry MEng
  • Civil Engineering MEng
  • Electrical and Computer Engineering MEng
  • Mechanical and Industrial Engineering MEng
  • Materials Science and Engineering MEng

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

APS511H1, APS1012H, APS1013H, APS1015H, APS1023H, APS1033H, APS1035H, APS1036H, APS1041H, APS1061H, APS1088H.

Finance and Management

AER1601H, APS500H1, APS502H1, APS1001H, APS1004H, APS1009H, APS1016H, APS1017H, APS1020H, APS1022H, APS1028H, APS1032H, APS1043H, APS1049H, APS1050H, APS1051H, APS1052H.

Engineering and Society

APS510H1, APS1018H, APS1024H, APS1025H, APS1031H, APS1034H, APS1090H, APS1101H, APS1420H.

 

Identity, Privacy and Security

Participating Programs:
  • Electrical and Computer Engineering MEng

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

 

Photonics

Participating Programs:
  • Electrical and Computer Engineering MEng

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 ECE14XXH course

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

 

Robotics

Participating Programs:
  • Aerospace Science and Engineering MEng
  • Electrical and Computer Engineering MEng
  • Mechanical and Industrial Engineering MEng

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,
ECE557H1, ECE1635H, ECE1636H, ECE1647H, ECE1653H, ECE1657H,
MIE1064H.

Group 2: Perception and Learning

AER1513H, AER1515H,
CSC2503H, CSC2506H, CSC2515H, CSC2541H, CSC2548H,
ECE516H1, ECE1511H, ECE1512H,
JEB1433H,
ROB501H1.

Group 3: Modelling and Dynamics

AER506H1, AER1503H, AER1512H,
JEB1444H,
MIE1001H, MIE1005H.

Group 4: Systems Design and Integration

AER525H1, AER1216H, AER1217H,
CSC2621H,
ECE470H1,
MIE505H1, MIE506H1, MIE1070H, MIE1075H, MIE1076H, MIE1080H, MIE1809H,
ROB521H1, ROB1514H.

 

Sustainable Energy

Participating Programs:
  • Aerospace Science and Engineering MASc
  • Aerospace Science and Engineering MEng
  • Aerospace Science and Engineering PhD
  • Chemical Engineering and Applied Chemistry MASc
  • Chemical Engineering and Applied Chemistry MEng
  • Chemical Engineering and Applied Chemistry PhD
  • Civil Engineering MASc
  • Civil Engineering MEng
  • Civil Engineering PhD
  • Electrical and Computer Engineering MASc
  • Electrical and Computer Engineering MEng
  • Electrical and Computer Engineering PhD
  • Mechanical and Industrial Engineering MASc
  • Mechanical and Industrial Engineering MEng
  • Mechanical and Industrial Engineering PhD
  • Materials Science and Engineering MASc
  • Materials Science and Engineering MEng
  • Materials Science and Engineering 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: emphasis@cpe.utoronto.ca.

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,
MIE515H1 Alternative Energy Systems,
MIE1120H Current Energy Infrastructure and Resources.

Elective Courses

AER507H1, AER1304H, AER1315H, AER1415H,
CHE568H1, CHE1053H, CHE1118H, CHE1123H, CHE1142H, CHE1143H,
CIV575H1, CIV576H1, CIV577H1, CIV1303H, CIV1307H,
ECE1030H, ECE1055H, ECE1057H, ECE1059H, ECE1085H, ECE1086H, ECE1092H, ECE1094H, ECE1476H,
MIE516H1, MIE517H1, MIE1128H, MIE1129H, MIE1130H, MIE1132H, MIE1240H, MIE1241H, MIE1715H,
MSE1023H, MSE1028H, MSE1058H.

Contact

All students are asked to register with Climate Positive Energy (CPE) at emphasis@cpe.utoronto.ca, at the beginning of their studies, to receive information about energy-related activities and opportunities on campus. CPE also administers a number of awards and scholarships for which students may be eligible.

 

Systems Control

Participating Programs:
  • Electrical and Computer Engineering MEng

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.

  • ECE557H1 Linear Control Theory

  • 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.

Biomedical Engineering

Course CodeCourse Title
HAD5751HAI Development and Implementation in Health Care
Medical Imaging
Neural Engineering
Sensory Communications
Signal Processing for Bioengineering

Communications

Course CodeCourse Title
ECE537H1
Random Processes
Error Control Codes
Information Theory
Graphs, Error-Correction Coding, and Inference
Statistical Learning
Convex Optimization
Special Topics in Communications
Signal Processing
Digital Image Processing and Applications
Introduction to Machine Learning
Biometric Systems
Seminar in Identity, Privacy, and Security
Detection and Estimation Theory
Data Communications II
ECE1524HService Provider Networks
Adaptive Systems for Signal Processing and Communications
Communication Networks I
Communication Networks II
Mobile Communications Systems
Bridges and Routers Planning
Advanced Network Architectures
Stochastic Networks
ECE1551HMobile Broadband Radio Access Network
ECE1552HModern Mobile Air Interfaces

Computer Engineering

Course CodeCourse Title
ECE516H1
Intelligent Image Processing
ECE532H1
Digital Systems Design
Special Topics in Computer Hardware Design
Compilation Techniques for Parallel Processors
Parallel Computer Architecture and Programming
Reconfigurable Computing and FPGA Architecture
Algorithms and Data Structures
Design for Test and Testability
Behavioural Synthesis of Digital Integrated Circuits
Trends in Middleware Systems — Selected Topics and Concepts
Quality of Service
Sensory Cybernetics
Computer Security, Cryptography, and Privacy
Computer Methods for Circuit Simulation
Creative Applications for Mobile Devices
ECE1779HIntroduction to Cloud Computing
Advanced Mobile User Interfaces
Dependable Software Systems
Programming Massively Parallel Multiprocessors and Heterogeneous Systems
ECE1783HDesign Tradeoffs in Digital Systems
ECE1784HTrustworthy Machine Learning
ECE1785HEmpirical Software Engineering
ECE1786HCreative Applications of Natural Language Processing

Electromagnetics

Course CodeCourse Title
Electromagnetic Theory
Advanced Antenna Theory
Topics in Electromagnetic Waves
Introduction to Computational Electrodynamics
Modeling of Multiphysics Systems
Microwave Circuits
ECE1257HIntegral Equation Methods for Computational Electromagnetism

Electronics

Course CodeCourse Title
Selected Topics in Solid State Electronics/VLSI Technology
Semiconductor Physics
Analog Circuit Design I
Selected Topics in Instrumentation
High Frequency Integrated Circuits
Advanced Topics in Analog Circuits
Digital Design for Systems-on-Chip
Introduction to Compound Semiconductor Devices
CAD for Digital Circuit Synthesis and Layout
VLSI Design Methodology
ECE1390HSelected Topics in Circuits and Systems
Advanced Microelectronic Devices
Integrated Circuits for Digital Communications
Semiconductor Devices
ECE1394HTechnical Management of Modern IC Design
Power Semiconductor Devices and Applications
ECE1396HAnalog Signal Processing Circuits
ECE1398HVLSI Technology

Energy Systems

Course CodeCourse Title
Space Vector Theory and Control
Special Topics in Energy Systems
Dynamics of HVdc/ac Transmission Systems
ECE1059HSpecial Topics in Energy Systems
Design of High-Frequency Switch-Mode Power Supplies (SMPS)
Introduction to EMC
Power System Optimization
Power Management for Photovoltaic Systems
ECE1092HSmart Grid Case Studies
ECE1093HElectrical Insulation Design and Coordination
Power Systems Operations and Economics
ECE1095HGrounding and Bonding

Photonics

Course CodeCourse Title
Quantum Mechanics for Engineers
Ultrafast Photonics
Special Topics in Photonics
Advanced Laser Processing
Integrated Optical Circuit Design
Bio Photonics
Solar Energy Capture and Storage in Natural and Engineered Systems
Lasers and Detectors

Systems Control

Course CodeCourse Title
ECE557H1
Linear Control Theory
Special Topics in Control I
Control of Discrete-Event Systems I
Control of Discrete-Event Systems II
Analysis and Control of Stochastic Systems I
Introduction to Nonlinear Control Systems
Hybrid Systems and Control Applications
Nonlinear Modeling and Analysis of Biological Systems
Game Theory and Evolutionary Games
ECE1658HGeometric Nonlinear Control of Robotic Systems
ECE1659HRobust and Optimal Control
ECE1660HRisk-Aware and Stochastic Control Theory with Learning

Master of Engineering

Course CodeCourse Title
Master of Engineering Project

Reading Course

Course CodeCourse Title
ECE1001HReadings in Cognate Subjects

APS Engineering Courses

Course CodeCourse Title
APS1012HManaging Business Innovation and Transformational Change
APS1041HInventrepreneurship (Invention and Entrepreneurship)
APS1043HWriting Your Own Patent Application
APS1070HFoundations of Data Analytics and Machine Learning
APS1081HQuantum Machine Learning