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Courses

The following table lists all graduate courses being offered for the Spring/Summer 2024 term, which begins on Tuesday, April 30, 2024. Please note this timetable is tentative and is subject to change.

Course Instructor Date/Time
(ex. Mon. 6:00 pm - 9:00 pm)		 Delivery Method
(In person or Online)		 Session
ME8106 Advanced Mechanics of Solids Hamid Ghaemi Mon. 10:00 am - 1:00 pm In person Spring
ME8112 Comp Fluid Dyn/Heat Transfer Dworkin, Seth Tue, Thurs 10:00 am - 12:00 pm In person Spring
ME 8115 Finite Element Methods in Engineering  Hashemi, Seyed
Mohammad		 Tues. and Thurs. 11:00 am - 2:00 pm In person Spring
ME8132 Sequencing and Scheduling TBA Mon. 3:00 pm - 6:00 pm In person Spring

*ME8135 requires special permission to enrol. Please contact the program administrator for more information.

Disclaimer: Above days/times are subject to change. Course space availability cannot be guaranteed upon registration.

Notes:

  1. For any non-mechanical and industrial engineering course registration, you must submit a completed and signed  (PDF file) Course Substitution Request to the program office, as these registrations must be processed manually. Please check course availability and room location on MyServiceHub.  Access the complete mechanical and industrial engineering calendar here.
  2. All graduate dates and deadlines can be found on Toronto Metropolitan University’s Significant Dates page.

Full Course Listing

Descriptions for each of the following courses, as well as a full program curriculum, can be found on Toronto Metropolitan University’s Yeates School of Graduate Studies Mechanical, Industrial, and Mechatronics Engineering web page.

  • ME8100 Advanced Experimental Stress Analysis
  • ME8101 Advanced Engineering Design
  • ME8102 Advanced Fluid Mechanics
  • ME8103 Advanced Human Factors
  • ME8104 Advanced Heat Transmission I
  • ME8105 Advanced Heat Transmission II
  • ME8106 Advanced Mechanics of Solids
  • ME8107 Al for Mechanical Engineers
  • ME8108 Aircraft Turbine Engines
  • ME8109 Casting and Solidification of Materials
  • ME8110 Chaotic Motion
  • ME8111 Corrosion Engineering
  • ME8112 Computational Fluid Dynamics and Heat Transfer
  • ME8113 Design for Assembly and Manufacturing
  • ME8114 Energy Management
  • ME8115 Finite Element Method in Engineering
  • ME8116 Flight Dynamics and Control of Aircraft
  • ME8117 Fracture Mechanics
  • ME8118 Information Systems Analysis and Design
  • ME8119 Introduction to Composite Materials
  • ME8120 Introduction to Operations Research
  • ME8121 High Speed Aerodynamics
  • ME8122 Mechanical Behaviour of Engineering Materials
  • ME8123 Mechanical Vibrations
  • ME8124 Multiple Participant/Objective Decision Making
  • ME8125 Neuro-Fuzzy Systems
  • ME8126 Nonlinear Vibrations
  • ME8127 Optimization Models
  • ME8128 Probabilistic Models in Operations Research
  • ME8129 Rocket Propulsion
  • ME8130 Robotics
  • ME8131 Simulation of Industrial Systems
  • ME8132 Sequencing and Scheduling
  • ME8133 Space Mechanics
  • ME8134 Turbulence in Real Fluids
  • ME8135 Directed Studies in Mechanical Engineering
  • ME8136 Advanced Fatigue Fracture Analysis
  • ME8137 Advanced Systems Control
  • ME8138 Computational Dynamics
  • ME8139 Mechanical Engineering: Probability, Statistics and Stochastic Processes
  • ME8140 Simulation Theory and Methodology
  • ME8141 Transport Phenomena in Porous Media
  • ME8142 Supply Chain Management in Engineering
  • ME8143 Micro and Nano Manufacturing
  • ME8144 Advanced Reliability Modelling
  • ME8145 Microelectronics Packaging Mechanics and Reliability
  • ME8146 Microelectromechanical Systems (MEMS)
  • ME8147 Introduction to Continuum Mechanics
  • ME8148 Environmental Management Systems
  • ME8149 Pollution Prevention
  • ME8150 Introduction to Microfluidics
  • ME8151 Combustion Engineering
  • ME8152 Introduction to Skeletal Tissue
  • ME8201 Design of Algorithms and Programming for Massive Data
  • ME8202 Machine Learning
  • ME8203 Management of Big Data and Big Data Tools
  • ME8204 Data Mining and Prescriptive Analytics