Mechanical and Industrial Engineering


MIE: Introduction

Faculty Affiliation

Applied Science and Engineering

Degree Programs

Mechanical and Industrial Engineering

MASc

  • Emphases:
    • Robotics (admissions have been administratively suspended);
    • Sustainable Energy

MEng

  • Emphases:
    • Advanced Manufacturing;
    • Advanced Soft Materials;
    • Biomanufacturing;
    • Data Analytics and Machine Learning;
    • Engineering and Globalization;
    • Entrepreneurship, Leadership, Innovation and Technology in Engineering (ELITE);
    • Forensic Engineering;
    • Robotics;
    • Sustainable Energy;
    • Waterpower

PhD

  • Emphases:
    • Robotics (admissions have been administratively suspended);
    • Sustainable Energy

Collaborative Specializations

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

Overview

The Department of Mechanical and Industrial Engineering accepts qualified applicants for study in a wide range of topics, spanning the breadth of mechanical and industrial engineering, including advanced manufacturing and materials engineering; applied mechanics and design; biomedical engineering; energy and environmental engineering; robotics, mechatronics and instrumentation; thermal and fluid sciences engineering; human factors/ergonomics; information engineering; and operations research.

Contact and Address

Web: www.mie.utoronto.ca/contact-us/
Email: gradoffice@mie.utoronto.ca
Telephone: (416) 978-2805

Department of Mechanical and Industrial Engineering
University of Toronto
Mechanical Engineering Building
5 King's College Road
Toronto, Ontario M5S 3G8
Canada


MIE: Graduate Faculty


MIE: Mechanical and Industrial Engineering MASc

The MASc degree program provides students with an opportunity to pursue research-intensive advanced studies in a particular field of interest.

Master of Applied Science

Minimum Admission Requirements

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

  • Evidence of research ability.

Completion Requirements

  • At the beginning of each student's program, a professor in the department will be identified as the supervisor who will guide the student in the research program and selection of courses.

  • For students with an adequate undergraduate background, the program will normally consist of 2.0 full-course equivalents (FCEs) and a thesis.

  • MASc students are required to participate in the non-credit seminar course JDE1000H during their first or second session of registration.

  • In Year 1, MASc students are required to attend at least 70% of seminars that are part of the MIE Seminar Series. Students who complete the requirement will receive credit for SRM3333Y MIE Seminar Series for MASc Students.

  • Students in the MASc program have the option of completing an emphasis in Sustainable Energy as part of their degree program. Please see details in the Mechanical and Industrial 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

 


MIE: Mechanical and Industrial Engineering MEng

The Master of Engineering (MEng) degree program is designed for students preparing for advanced professional activity; it is not a research-oriented degree. The program may 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 Mechanical and Industrial Engineering's additional admission requirements stated below.

  • A mid-B in the final two years of undergraduate study.

Completion Requirements

  • Students must successfully complete a total of 5.0 full-course equivalents (FCEs) or 3.5 FCEs plus a supervised project. A majority of the courses must be either offered by the Department of MIE or from a list (found on the department's website) of approved courses deemed equivalent to an MIE course.

  • Program completion is possible in three sessions (one year).

  • Part-time students are limited to four half courses per year and two half courses per session. Time to completion will be greater than two years.

  • Students in the MEng program have the option of completing an emphasis in Advanced Manufacturing; Biomanufacturing; Data Analytics and Machine Learning; Engineering and Globalization; Entrepreneurship, Leadership, Innovation and Technology in Engineering (ELITE); Forensic Engineering; Robotics; or Sustainable Energy as part of their degree program. Please see details in the Mechanical and Industrial 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 Mechanical and Industrial Engineering's additional admission requirement stated below.

  • A mid-B in the final two years of undergraduate study.

Completion Requirements

  • Students must successfully complete a total of 5.0 full-course equivalents (FCEs) or 3.5 FCEs plus a supervised project. A majority of the courses must be either offered by the Department of MIE or from a list (found on the department's website) of approved courses deemed equivalent to an MIE course.

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

  • Students in the MEng program have the option of completing an emphasis in Advanced Manufacturing; Biomanufacturing; Data Analytics and Machine Learning; Engineering and Globalization; Entrepreneurship, Leadership, Innovation and Technology in Engineering (ELITE); Forensic Engineering; Robotics; or Sustainable Energy as part of their degree program. Please see details in the Mechanical and Industrial 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

 


MIE: Mechanical and Industrial Engineering PhD

The Doctor of Philosophy (PhD) degree program is for students anticipating a career in which they will be performing or directing research at the most advanced level.

Students may be admitted to the PhD program via one of three routes: 1) following completion of an appropriate master's degree; 2) transfer from the University of Toronto MASc program; or 3) direct entry following completion of a bachelor's degree.

The Department of Mechanical and Industrial Engineering offers both full-time and flexible-time PhD program options. Applicants must declare the option for which they wish to apply; transfers between these programs are not permitted.

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 Mechanical and Industrial Engineering's additional admission requirements stated below.

  • Admission to the PhD program is reserved for those who are able to present evidence of superior academic and research ability. Students may be admitted to the PhD program with an appropriate University of Toronto master's degree or its equivalent from a recognized university with a minimum B+ average.

Completion Requirements

  • At the beginning of each student's program, a professor in the department will be identified as the supervisor and will guide the student in the research program and selection of courses.

  • Minimum departmental standards in coursework: completion of 2.5 full-course equivalents (FCEs) plus a thesis.

  • Participation in the non-credit seminar course JDE1000H during the first or second session of registration.

  • In Years 1 and 2, students must attend at least 70% of seminars that are part of the MIE Seminar Series. Students who complete this requirement will receive credit for SRD4444Y MIE Seminar Series.

  • Students must pass a qualifying examination, annual progress meetings, and the SGS Doctoral Final Oral Examination.

  • Students must present a research seminar during the final year of their studies.

  • Students must be on campus full-time unless special permission is obtained for off-campus study.

  • Students have the option of completing an emphasis in Sustainable Energy as part of their degree program. Please see details in the Mechanical and Industrial 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 to the PhD program is reserved for those who are able to present evidence of superior academic and research ability. Very strong MASc students may apply to transfer to the PhD program after completing only one year of the MASc program.

Completion Requirements

  • At the beginning of each student's program, a professor in the department will be identified as the supervisor and will guide the student in the research program and selection of courses.

  • Minimum departmental standards in coursework: completion of 3.5 full-course equivalents (FCEs) plus a thesis.

  • Participation in the non-credit seminar course JDE1000H during the first or second session of registration.

  • In Years 1 and 2, students must attend at least 70% of seminars that are part of the MIE Seminar Series. Students who complete this requirement will receive credit for SRD4444Y MIE Seminar Series.

  • Students must pass a qualifying examination, annual progress meetings, and the SGS Doctoral Final Oral Examination.

  • Students must present a research seminar during the final year of their studies.

  • Students must be on campus full-time unless special permission is obtained for off-campus study.

  • Students in the PhD program have the option of completing an emphasis in Sustainable Energy as part of their degree program. Please see details in the Mechanical and Industrial 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 Mechanical and Industrial Engineering's additional admission requirements stated below.

  • Admission to a PhD program is reserved for those who are able to present evidence of superior academic and research ability. Students may be admitted to the PhD program with an appropriate University of Toronto master's degree or its equivalent from a recognized university with a minimum B+ average.

Completion Requirements

  • At the beginning of each student's program, a professor in the department will be identified as the supervisor and will guide the student in the research program and selection of courses.

  • Minimum departmental standards in coursework: completion of 3.5 full-course equivalents (FCEs) plus a thesis.

  • Participation in the non-credit seminar course JDE1000H during the first or second session of registration.

  • In Years 1 and 2, students must attend at least 70% of seminars that are part of the MIE Seminar Series. Students who complete this requirement will receive credit for SRD4444Y MIE Seminar Series.

  • Students must pass a qualifying examination, annual progress meetings, and the SGS Doctoral Final Oral Examination.

  • Students must present a research seminar during the final year of their studies.

  • Students must be on campus full-time unless special permission is obtained for off-campus study.

  • Students in the PhD program have the option of completing an emphasis in Sustainable Energy as part of their degree program. Please see details in the Mechanical and Industrial 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 (Flexible-Time)

Minimum Admission Requirements

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

  • Admission to a PhD program is reserved for those who are able to present evidence of superior academic and research ability. Students may be admitted to the PhD program with an appropriate University of Toronto master's degree or its equivalent from a recognized university with a minimum B+ average.

  • Applicants to the flexible-time PhD option are accepted under the same admission requirements as applicants to the full-time PhD option. However, in addition, applicants to the flexible-time PhD option must demonstrate that they are actively engaged in professional activities related to their proposed program of study.

Completion Requirements

  • At the beginning of each student's program, a professor in the department will be identified as the supervisor and will guide the student in the research program and selection of courses.

  • Minimum departmental standards in coursework: completion of 2.5 full-course equivalents (FCEs) and a thesis.

  • Participation in the non-credit seminar course JDE1000H during their first or second session of registration.

  • In Years 1 and 2, students must attend at least 70% of seminars that are part of the MIE Seminar Series. Students who complete this requirement will receive credit for SRD4444Y MIE Seminar Series. Students whose professional background is such that they would be deemed to have fulfilled this breadth requirement may be exempted upon consultation with the admissions committee.

  • Students must pass a qualifying examination, annual progress meetings, and the SGS Doctoral Final Oral Examination.

  • Students must present a research seminar during the final year of their studies.

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

Mode of Delivery: In person
Program Length: 6 years full-time (typical registration sequence: Continuous)
Time Limit: 8 years full-time

 


MIE: Mechanical and Industrial Engineering: Emphases

Advanced Manufacturing

Participating Programs:
  • Aerospace Science and Engineering MEng
  • Chemical Engineering and Applied Chemistry 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]), including at least one core course.

  • Elective courses may include other core courses, and courses from either of two streams: Manufacturing Engineering and Manufacturing Management.

Core Courses

AER501H1 Computational Structural Mechanics and Design Optimization,
AER1403H Advanced Aerospace Structures,
APS1028H Operations and Production Management for Manufacturing and Services,
CHE1123H Liquid Biofuels,
MIE519H1 Advanced Manufacturing Technologies,
MIE1740H Smart Materials and Structures.

Elective Courses — Manufacturing Engineering

AER1415H,
CHE1134H, CHE1475H,
MIE506H1, MIE540H1, MIE1706H, MIE1709H, MIE1718H, MIE1743H,
MSE1013H, MSE1015H, MSE1028H, MSE1031H, MSE1043H, MSE1058H, MSE1061H,
ROB501H1, ROB521H1.

Elective Courses — Manufacturing Management

APS1012H, APS1013H, APS1017H, APS1020H, APS1023H, APS1088H, APS1420H,
CHE561H1, CHE1434H,
MIE523H1, MIE1022H, MIE1505H, MIE1514H, MIE1715H, MIE1721H, MIE1727H,
TEP1011H, TEP1026H, TEP1501H.

 

Advanced Soft Materials

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

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

CHE562H1, CHE1310H, CHE1333H, CHE1335H, CHE1475H,
JTC1134H, JTC1135H,
MIE1705H, MIE1706H, MIE1707H, MIE1740H,
MSE1043H.

Students may double-count one course at most towards any CHE emphasis, or towards any other emphasis in the Faculty.

 

Biomanufacturing

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

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

CHE1123H, CHE1125H, CHE1134H, CHE1135H, CHE1334H, CHE1450H, CHE1471H,
JCC1313H,
JTC1331H,
BME1459H, BME1480H.

Students may double-count one course at most towards any CHE emphasis, or towards any other emphasis in the Faculty.

 

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.

 

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.

 

Forensic Engineering

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

MEng students must successfully complete four courses (one core course and three elective courses; 2.0 full-course equivalents [FCEs]).

Core Course

MSE1031H Forensic Engineering.

Elective Courses

AER1604H,
APS1034H, APS1039H, APS1040H, APS1101H,
BME1480H, BME1800H, BME1801H, BME1802H,
CHE561H1, CHE568H1, CHE1213H, CHE1431H, CHE1432H, CHE1434H, CHE1436H,
CIV510H1, CIV518H1, CIV1163H, CIV1171H, CIV1174H, CIV1190H, CIV1201H, CIV1279H, CIV1282H, CIV1422H, CIV1429H,
JMB1050H,
JNC2503H,
MIE507H1, MIE533H1, MIE566H1, MIE1301H, MIE1303H, MIE1411H, MIE1414H, MIE1514H, MIE1616H, MIE17108H, MIE1714H, MIE1721H, MIE1727H, MIE1804H,
MSE1015H, MSE1016H, MSE1022H, MSE1032H, MSE1067H.

 

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.

 

Waterpower

Participating Programs:
  • Civil Engineering MEng
  • Mechanical and Industrial Engineering MEng

MEng students must successfully complete four half courses (2.0 full-course equivalents [FCEs], including one core course. The remaining coursework may be taken from the following lists.

Core Course

APS1410H Waterpower Essentials.

Group A (complete at least one)

APS1411H,
CIV550H1.

Group B (complete at least one)

AER1410H,
APS1024H, APS1032H,
CIV514H1, CIV523H1, CIV580H1, CIV1001H, CIV1163H, CIV1171H, CIV1252H, CIV1275H, CIV1279H, CIV1281H, CIV1303H, CIV1399H, CIV1420H,
ECE520H1, ECE1049H, ECE1059H, ECE1093H, ECE1094H,
ENV1001H, ENV1701H, ENV1703H,
MIE1201H, MIE1207H, MIE1210H, MIE1222H, MIE1241H.

 


MIE: Mechanical and Industrial Engineering MASc, MEng, PhD Courses

See the departmental website for a schedule of available courses.

Fluid Mechanics

Course CodeCourse Title
MIE520H1
Biotransport Phenomena
Advanced Fluid Mechanics I
Non Newtonian Fluid Mechanics
Structure of Turbulent Flows
MIE1208HMicrofluidic Biosensors
(prerequisite: undergraduate-level fluidic mechanics)
Computational Fluid Mechanics and Heat Transfer
Convective Heat Transfer
Applied Computational Fluid Dynamics (CFD)
Multiphase Flows
Microfluidics and Laboratory-on-a-Chip Systems
Wind Power
Energy Management
MIE1242HApplied Thermal Management: Applications in Electric Vehicles, Electronic Systems, and Datacenters
Special Topics in Fluid Mechanics

Human Factors and Ergonomics

Course CodeCourse Title
MIE542H1
Human Factors Integration
Human Factors Engineering
Experimental Methods in Human Factors Research
Analytical Methods in Human Factors Research
Design of Work Places
Human-Automation Interaction
Statistical Models in Empirical Research
Human Factors in Transportation
Analysis and Design of Cognitive Work
MIE1416HHuman Factors in Healthcare
Engineering for Psychologists and Psychiatrists
MIE1499HSpecial Topics in Human Factors and Ergonomics

Information Engineering

Course CodeCourse Title
Knowledge Modelling and Management
Enterprise Modelling
Formal Techniques in Ontology Engineering
Data Analytics
Decision Support Systems
Systems Design and Engineering: A Product Perspective
Structured Learning and Inference
MIE1517HIntroduction to Deep Learning
MIE1520HLearning with Graphs and Sequences

Mechanics and Materials

Course CodeCourse Title
MIE517H1
Fuel Cell Systems
MIE540H1
Product Design
Materials for Clean Energy Technologies
Solid Mechanics
Fracture Mechanics
Engineering Cell Biology and Micro-Nanoengineered Platforms
Thermoplastics Polymer Processing
Manufacturing of Cellular and Microcellular Polymers
Structure-Property Relationships of Thermoplastic and Composite Foams
Collision Reconstruction
MIE1709HContinuum Mechanics
MIE1710HSustainable Development (Manufacturing) of Circular Materials for Healthy Climate
Life Cycle Engineering
Creativity in Conceptual Design
MIE1724HAdditive Manufacturing in Engineering Applications
MIE1725HSoft Robotics
Smart Materials and Structures
Nanomechanics of Materials
MIE1745HSurface Engineering
The Finite Element Method in Mechanical Engineering
Principles of Measurements

Mechatronics and Dynamics

Course CodeCourse Title
MIE506H1
MEMS Design and Microfabrication
Advanced Dynamics
Theory of Vibrations
Acoustics and Noise Control
MIE1050HDesign of Intelligent Sensor Networks
MIE1052HSignal Processing for Bioengineering
Control Analysis Methods with Applications to Robotics
Intelligent Robots for Society
MIE1075HAI Applications in Robotics
MIE1076HAI Applications in Robotics II
MIE1077HAI Applications in Robotics III
MIE1080HIntroduction to Healthcare Robotics
Computer Integrated Manufacturing
Advanced Mechatronics

Operations Research

Course CodeCourse Title
MIE561H1
Healthcare Systems
MIE562H1
Scheduling
MIE566H1
Decision Making Under Uncertainty
Integer Programming
Stochastic Processes
Stochastic Modelling and Optimization
MIE1612HStochastic Programming and Robust Optimization
Stochastic Simulation
Markov Decision Processes
Research Topics in Healthcare Engineering
Constraint Programming and Hybrid Algorithms
Linear Programming and Network Flows
Non-Linear Optimization
Computational Finance and Risk Management
Introduction to Healthcare Engineering
Introduction to Data Science and Analytics
MIE1625HMachine Learning for Medical Image Analysis
MIE1626HData Science Methods and Statistical Learning
Big Data Science
Integer Programming Applications
MIE1666HMachine Learning for Mathematical Optimization
Special Topics in Operations Research
Failure Analysis
Reliability and Asset Management
Quality Assurance I

Thermal Sciences

Course CodeCourse Title
MIE515H1
Alternative Energy Systems
MIE516H1
Combustion and Fuels
Advanced Classical Thermodynamics
Statistical Thermodynamics
Heat Transfer with Phase Change
Current Energy Infrastructure and Resources
Combustion Engine Processes
Fundamentals of Combustion
Nuclear Engineering I: Reactor Physics and the Nuclear Fuel Cycle
Nuclear Engineering II: Thermal and Mechanical Design of Nuclear Power Reactors
Heat Exchanger Design
Laser Applications in Engineering
MIE1135HThermal Phenomena, Performance, and Management of Electric Vehicles
MIE1199HSpecial Topics in Thermal Sciences
Advanced Engineering Analysis

APS Engineering Courses

Course CodeCourse Title
Operations Research for Engineering Management
Managing Business Innovation and Transformational Change
Applying Innovation in Engineering and Business Operations
Social Entrepreneurship
Financial Management for Engineers
Supply Chain Management and Logistics
APS1018HThe Engineer in Society — Ethics, History and Philosophy
Financial Engineering 2
New Product Innovation
Operations and Production Management for Manufacturing and Services
Introduction to Energy Project Management
Making Sense of Accidents
APS1043HWriting Your Own Patent Application
Management Consulting for Engineers
Blockchain Technologies and Cryptocurrencies
Portfolio Management Praxis Under Real Market Constraint
Artificial Intelligence in Finance: From Neural Networks to Deep Learning
APS1053HCase Studies in AI in Finance
Business Strategy and Intrapreneurship
Foundations of Data Analytics and Machine Learning
APS1101HSystem Dynamic Risk Assessment
Multidisciplinary MEng Project
APS2000YEngineering Practicum
TEP1203HTeaching Engineering in Higher Education
TEP1204HInstructional Design in Engineering Education

SCFI MEng Courses

Course CodeCourse Title
Innovation Management I
Innovation Management II
Innovation Finance and Economics
Legal Framework for Innovation
Laser Applications in Manufacturing
CAE Technologies in Automotive Engineering
Electric Motor Technologies in Automotive Engineering
Polymers and Composites in Automotive Design and Manufacturing
Polymers and Composites Processing in Automotive
Metals in Automotive Design and Manufacturing
Metal Forming Simulation
Hot Stamping 1. — Metallurgy, Materials, Thermomechanical Treatment, and Welding
Hot Stamping 2. — Process and Product Performance Simulation and Optimization
Aluminum Die Casting 1. — Metallurgy, Process Design, and Optimization
MIE1766HAluminum Die Casting 2. — Product Design and Optimization
MIE1767HMechatronics in Automotive Applications 1
MIE1768HMechatronics in Automotive Applications 2
MIE1769HArtificial Intelligence in Automotive and Manufacturing Applications
MIE1770HArtificial Intelligence in Automotive and Manufacturing Applications 2
MIE1771HAdditive Manufacturing in Automotive and High-Volume Applications

Reading Courses

Course CodeCourse Title
Readings in Industrial Engineering I
Readings in Industrial Engineering II
Readings in Mechanical Engineering I
Readings in Mechanical Engineering II

Seminar Courses

Course CodeCourse Title
MIE Seminar Series for MASc Students
MIE Seminar Series for PhD Students

Project

Course CodeCourse Title
MEng Research Project