Courses
MIE100: Dynamics
This course on Newtonian mechanics considers the interactions which influence 2-D, curvilinear motion. These interactions are described in terms of the concepts of force, work, momentum and energy. Initially the focus is on the kinematics and kinetics of particles. Then, the kinematics and kinetics of systems of particles and solid bodies are examined. Finally, simple harmonic motion is discussed. The occurrence of dynamic motion in natural systems, such as planetary motion, is emphasized. Applications to engineered systems are also introduced.
Pre-requisites: none
Format: 3/-/2/0.50
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MIE191: Introduction to Mechanical and Industrial Engineering
This is a seminar series that will preview the core fields in Mechanical and Industrial Engineering. Each seminar will be given by a professional in one of the major areas in MIE. The format will vary and may include application examples, challenges, case studies, career opportunities, etc. The purpose of the seminar series is to provide first year students with some understanding of the various options within the Department to enable them to make educated choices for second year. This course will be offered on a credit/no credit basis. Students who receive no credit for this course must re-take it in their 2S session. Students who have not received credit for this course at the end of their 2S session will not be permitted to register in session 3F.
Pre-requisites: none
Format: 1/-/-/0.15
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MIE201: Essays in Technology and Culture
This course explores the relationship between changing technologies and cultural representations and teaches a methodology that bridges the world of the artist and the world of the engineer. It enables engineers to explore how the analysis of art has been used in the discussion of the social impacts of technological innovation and to use these methods as they develop new skills in essayistic argument and increase critical vocabulary.
Pre-requisites: none
Format: 2/-/1/0.50
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MIE210: Thermodynamics
This is a basic course in engineering thermodynamics. Topics covered include: properties and behaviour of pure substances; equation of states for ideal and real gases; compressibility factor; first and second laws of thermodynamics; control mass and control volume analyses; applications of first and second laws of thermodynamics to closed systems, open systems and simple thermal cycles.
Pre-requisites: MAT186H1 F
Format: 3/1.5/1/0.50
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MIE221: Manufacturing Engineering
Production Fundamentals: Metal casting; metal forming - rolling, forging, extrusion and drawing, and sheet-metal forming; plastic/ceramic/glass forming; metal removal - turning, drilling/ boring/reaming, milling, and grinding; non-traditional machining - ECM, EDM and laser cutting; welding; surface treatment; metrology. Environmental issues in manufacturing processes, recycling of materials. Automation Fundamentals: Automation in material processing and handling - NC, robotics and automatically-guided vehicles; flexible manufacturing - group technology, cellular manufacturing and FMS; and computer-aided design - geometric modelling, computer graphics, concurrent engineering and rapid prototyping.
Pre-requisites: none
Format: 3/2/1/0.50
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MIE222: Mechanics of Solids I
Design of mechanical joints. Elasto-plastic torsion of circular sections. Elasto-plastic bending of beams. Residual stresses, shearing stresses in beams, analysis of plane stress and plant strain problems. Pressure vessels, design of members of strength criteria, deflection of beams. Statistically indeterminate problems.
Pre-requisites: none
Format: 3/1.5/1.5/0.50
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MIE230: Engineering Analysis
Multivariate integration with application to calculation of volumes, centroids and moments. Vector calculus. Divergence, curl and gradient operators. Green´s theorem. Gauss´ theorem. Stokes´ theorem. Integral transforms. Laplace transforms and Fourier series, integral and transform.
Pre-requisites: MAT186H1 F, MAT187H1 S
Format: 3/-/2/0.50
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MIE231: Probability and Statistics with Engineering Applications
Use of data in engineering decision processes. Elements of probability theory. Discrete and continuous random variables. Standard distributions: binomial, Poisson, hypergeometric, exponential, normal etc. Expectation and variance. Random sampling and parameter estimation. Confidence intervals. Hypothesis testing. Goodness-of-fit tests. Regression and correlation. Statistical Process Control and quality assurance. Engineering applications in manufacturing, instrumentation and process control.
Pre-requisites: none
Format: 3/2/2/0.50
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MIE235: Algorithms and Numerical Methods
This course is concerned with the design, analysis and execution of algorithms that are of practical use in solving industrial engineering problems. Emphasis is placed on the essential characteristics of algorithms; data organization and numerical methods, while at the same time preparing students to appreciate algorithmic methods to be encountered in advanced courses. An integral part of the course will be programming assignments in JAVA. Topics include: analysis of algorithms, complexity of computation, growth of functions, big-O analysis, algorithmic strategies: heuristics (greedy, local search) and dynamic programming, abstract data types, data structures: stacks and queues (using arrays), linked lists and iterators, hash tables, binary trees, searching and sorting, and solutions of nonlinear equations.
Pre-requisites: none
Format: 3/1/1/0.50
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MIE237: Statistics and Design of Experiments
Tools of industrial statistics play an important role in helping engineers make their decisions more effectively. Experimental design methods have applications in many engineering disciplines. They play a major role in product and process design, in evaluation and comparison of design alternatives, selection of design parameters to achieve robust performance under a wide variety of operating and field conditions and in process improvement and optimization. The course focuses on the following topics: process modeling, important distributions and approximations, point and interval estimation of process parameters, hypothesis testing, correlation and regression analysis, design and analysis of experiments, sequential experimentation, off-line quality control and the Taguchi methods.
Pre-requisites: MIE231H1 F or equivalent
Format: 3/1/2/0.50
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MIE240: Human Centred Systems Design
This course deals with the engineering design of systems that effectively support humans in the tasks for which they are responsible. A systems approach is adopted in the course and the fundamentals of the human-centred design process are covered. A variety of generically useful tools will also be covered, including task analysis, basic human factors design principles, design reference sources, and techniques for predicting human reliability. Case studies will be used throughout to illustrate the concepts, showing the wide breadth of problems that can be addressed through the human centred systems design process. This process includes appropriate concerns for environmental requirements and issues.
Pre-requisites: none
Format: 3/-/2/0.50
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MIE253: Data Modelling
This course provides an understanding of the principles and techniques of information modelling and data management, covering both relational theory and SQL database systems (DBMS), as well as entity-relation conceptual modelling. The course also familiarizes the student with analytical applications (OLAP) and provides an introduction to XML data modelling. The laboratory focuses on database application development using SQL DBMS, OLAP queries and entity-relation data modelling.
Pre-requisites: APS105H1 S or equivalent, MIE235H1 F or permission from instructor
Format: 3/1/1/0.50
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MIE258: Engineering Economics and Accounting
This course focuses on the engineering economic and accounting concepts needed in the design of industrial engineering systems. They include time value of money, evaluation of cash flows, cost and managerial accounting concepts, defining alternatives, acceptance criteria, replacement analysis, depreciation and income tax, sensitivity and decision analysis, buy or lease, make or buy, production functions and relationship to cost functions.
Pre-requisites: MIE231H1 F or equivalent
Format: 3/-/1/0.50
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MIE262: Operational Research I
This course deals with the formulation of models for the design and operation of systems that produce goods and services. The course covers various methodologies for solving such problems, including linear programming: the simplex method, sensitivity analysis, duality, the revised simplex and network simplex methods; deterministic and probabilistic dynamic programming; decision analysis; Markov chains.
Pre-requisites: MAT186F, MAT188F
Format: 3/2/1/0.50
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MIE301: Kinematics and Dynamics of Machines
Classifications of mechanisms, velocity, acceleration and force analysis, graphical and computer-oriented methods, balancing, flywheels, gears, geartrains, cams. Introduction to Lagrangian Dynamics: Lagrange´s equations of motion, Hamilton´s equations, Hamilton´s principle.
Pre-requisites: MIE100H1 S
Format: 3/3/2/0.50
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MIE303: Mechanical and Thermal Energy Conversion Processes
Engineering applications of thermodynamics in the analysis and design of heat engines and other thermal energy conversion processes within an environmental framework; Steam power plants, gas cycles in internal combustion engines, gas turbines and jet engines. Fossil fuel combustion, Alternative fuel combustions, fusion processes and introduction to advanced systems of fuel cells.
Pre-requisites: none
Format: 3/1.5/1/0.50
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MIE312: Fluid Mechanics I
Fluid statics, pressure measurement, forces on surfaces. Kinematics of flow, velocity field, streamlines. Conservation of mass. Fluid dynamics, momentum analysis, Euler and Bernoulli equations. Energy and head lines. Laminar flow. Flow at high Reynolds numbers, turbulence, the Moody diagram. External flows. Boundary layers. Lift and drag. Flow separation.
Pre-requisites: MIE100H1 S, MAT234H1 S, MIE210H1 S
Format: 3/1/1/0.50
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MIE313: Heat and Mass Transfer
Exact and numerical analysis of steady and transient conduction in solids. Solutions of one-dimensional and multidimensional systems. Principles of convection and solutions under laminar and turbulent flow over flat plates and inside and over pipes. Free convection. Thermal radiation between multiple black and grey surfaces.
Pre-requisites: MAT234H1 S, MIE210H1 S, MIE230H1 F, MIE312H1 F or equivalent
Format: 3/1.5/2/0.50
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MIE315: Design for the Environment
(1) Industrial growth and the environment, Industrial Ecology; (2) Life Cycle Assessment, inventory and impact analysis; (3) Design for the environment, recycling, pollution prevention, energy conservation, waste treatment; (4) Pollution control of air, water and soil.
Pre-requisites: none
Format: 3/-/1/0.50
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MIE320: Mechanics of Solids II
Three-dimensional stress transformation, strain energy, energy methods, finite element method, asymmetric and curved beams, superposition of beam solutions, beams on elastic foundations, plate bending, buckling, fracture mechanics, impact.
Pre-requisites: MIE222H1 S
Format: 3/3/2/0.50
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MIE331: Physiological Control Systems
The purpose of this course is to provide undergraduate engineering students with an introduction to physiological concepts and selected physiological control systems present in the human body. Due to the scope and complexity of this field, this course will not cover all physiological control systems but rather a selected few such as the neuromuscular, cardiovascular, and endocrine control systems. This course will also provide an introduction to the structures and mechanisms responsible for the proper functioning of these systems. This course will combine linear control theory, physiology, and neuroscience with the objective of explaining how these complex systems operate in a healthy human body. The first part of the course will provide an introduction into physiology and give an overview of the main physiological systems. The second part of the course will focus on the endocrine system and its subsystems, including glucose regulation, thyroid metabolic hormones, and the menstrual cycle. The third part of the course will include discussion on the cardiovascular system and related aspects such as cardiac output, venous return, control of blood flow by the tissues, and nervous regulation of circulation. The fourth and final section of the course will focus on the central nervous system, the musculoskeletal system, proprioception, kinaesthetic, and control of voluntary motion.
Pre-requisites: CHE353H1F
Format: 3/1/1/0.50
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MIE333: Engineering Physics
This course includes introduction to oscillations leading to periodic wave phenomena of importance to modern engineering methods and instrumentation design, specifically transverse and longitudinal waves, sound, resonance, interference, Doppler effects and phenomena encountered in supersonic speeds. Elementary quantum mechanics is introduced to extend concepts of wave theory to photons and matter waves, with a view to understanding advanced modern materials and devices/ instruments encountered at the forefront of engineering practice, specifically properties of nanomaterials, the principles of operation of electronic, magnetic resonance and X-ray microscopes, and laser operation and the nature of laser light.
Pre-requisites: MAT186H1 F /MAT187H1 S
Format: 3/-/1.5/0.50
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MIE341: Computer Aided Design I
This course presents modeling techniques commonly used in mechanical design and the analysis of structural systems. Students will be exposed to state of the art software packages of computer 3-D graphics and solid modeling, mechanism analysis, fluid flow, and finite element analysis. Several case studies are introduced. Emphasis is placed on gaining practical skills in solving realistic design problems through illustrating applied examples. Course work includes design laboratories and comprehensive design projects.
Pre-requisites: none
Format: 3/2/2/0.50
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MIE342: Circuits with Applications to Mechanical Engineering Systems
This course presents analysis of complex circuits and application of circuit principles to design circuits for mechanical engineering systems. Discussions will centre around circuits and instrumentation. In-depth discussions will be given on a number of topics: (1) Mechatronics design applications of circuit principles; (2) Network theorems, node-voltage, mesh-current method, ThŽvenin equivalents; (3) Operational amplifier circuits; (4) 1st and 2nd order circuits; (5) Laplace transform, frequency response; (6) Passive and active filter design (low- and high-pass filters, bandpass and bandreject filters); (7) Interface/readout circuits for mechanical engineering systems, sensors, instrumentation; (8) Inductance, transformers, DC/AC machines; (9) Digital circuit and data sampling introduction.
Pre-requisites: MAT186H1 F, MAT187H1 S
Format: 3/1.5/1/0.50
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MIE343: Industrial Ergonomics and the Workplace
The Biology of Work: anatomical and physiological factors underlying the design of equipment and work places. Biomechanical factors governing physical workload and motor performance. Circadian rhythms and shift work. Measurement and specification of heat, light, and sound with respect to design of the work environment.
Pre-requisites: MIE231H1 F
Format: 3/3/-/0.50
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MIE344: Ergonomic Design of Information Systems
The goal of this course is to provide an understanding of how humans and machines can be integrated with information systems. The focus will be on the design of human-machine interfaces, and on the analysis of the impact of computers on people. The course will also include coverage of usability engineering and rapid prototyping design, analysis of user mental models and their compatibility with design models, and quantitative modelling of human-computer interaction.
Pre-requisites: MIE240H1 F or permission of the instructor
Format: 3/3/-/0.50
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MIE345: Case Studies in Ergonomics
A detailed analysis will be made of several cases in which human factors methods have been applied to improve the efficiency with which human-machine systems operate. Examples will be chosen both from the area of basic ergonomics and from high technology. Emphasis will be placed on the practical use of material learned in earlier human factors courses.
Pre-requisites: MIE240H1 F
Format: 3/-/2/0.50
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MIE346: Analog and Digital Electronics for Mechatronics
A study of the fundamental behaviour of the major semiconductor devices (diodes, bipolar junction transistors and field effect transistors). Development of analysis and design methods for basic analog and digital electronic circuits and devices using analytical, computer and laboratory tools. Application of electronic circuits to instrumentation and mechatronic systems.
Pre-requisites: MIE230H1 F, MAT234H1 S, MIE342H1 F
Format: 3/1.5/1/0.50
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MIE350: Design and Analysis of Information Systems
Provides students with an understanding of the methods of information system analysis and design. These include methods for determining and documenting an organization´s structure (FDD), activities, behaviours and information flows (DFDs, decision tables and trees, network diagrams, etc); model acquisition (data repositories), verification and validation. Methods such as SADT, RAD and prototyping will be covered . Students will acquire a working knowledge of various frameworks for analysis (e.g., information technology categories, system and application classifications, decision types, data vs information). Throughout the course, emphasis is placed on the importance of systems thinking and organizational culture in the analysis and design process. In the laboratory, students will use a CASE-based computer program (Visible Analyst) for the analysis and design of information systems for selected organizations. Students will be asked to work in teams to create a web-based information site and to document and present their development progress through the use of a structured project log.
Pre-requisites: APS105H1 S, MIE253H1 S
Format: 3/1/1/0.50
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MIE354: Business Process Engineering
This course focuses on understanding multiple perspectives for grouping, assessing, designing and implementing appropriately integrated and distributed information systems to support enterprise objectives. The emphasis is on understanding how Business Process Management techniques and tools can contribute to align an organization´s business and information technology perspectives, as well as the characteristics of application and system types and the implications for their design, operation and support of information needs, including those associated with different platforms and technology infrastructure e.g., legacy systems, client/server, the Internet and World Wide Web including the emergence of a web-service-based service oriented architecture. Students will work in the laboratory to develop business processes that can be specified and executed by information systems supporting BPEL, a widely supported standard for describing web-service-based business process.
Pre-requisites: MIE253H1 S or permission of the instructor
Format: 3/1/1/0.50
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MIE359: Organization Design
Study of design, innovation, change and implementation issues in both new and existing organizations. Consideration will be given to sociotechnical systems design methodology, work teams, reward systems, leadership and union-management relations. An external field-site redesign project will be used for instruction, along with case studies, guest presenters and videos.
Pre-requisites: none
Format: 4/-/-/0.50
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MIE360: Systems Modelling and Simulation
Definition of models in terms of procedural behaviours, both discrete and continuous, deterministic and stochastic, with an emphasis on stochastic, dynamic simulation models. Simulation languages and simulators, generating random variables. Verification and validation of models, analysis of input and output data.
Pre-requisites: MIE231H1 F or equivalent
Format: 3/2/1/0.50
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MIE363: Resource and Production Modelling
Features of production/service systems and methods of modelling their operation; the material flow, information flow and control systems. Topics include process design, supply chain management, line balancing, material requirements planning, distribution requirements planning, and aggregate production planning. Basic deterministic and probabilistic inventory models will be covered, as well as the application of optimization methods to capacity planning decisions. Emphasis will be placed on the modelling aspects of operations management, as well as the application of analytical approaches in the solution of systems problems.
Pre-requisites: MIE231H1 F, MIE262H1 S or equivalent
Format: 3/-/2/0.50
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MIE364: Methods of Quality Control and Improvement
In manufacturing and service industries alike, quality is viewed as an important strategic tool for increasing competitiveness. Continuous quality improvement is a key factor leading to a company´s success. With more emphasis on quality, the cost and the product cycle time are reduced and the communication between producer and customer is improved. The course focuses on the following topics: introduction to quality engineering, TQM, quality standards, supplier-producer relations and quality certification, costs of quality, statistical process control for long and short production runs, process capability analysis and acceptance sampling.
Pre-requisites: MIE231H1 F, MIE237H1 S or equivalent
Format: 3/1/2/0.50
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MIE365: Operational Research II
This course covers the design of operational research models to solve a variety of open-ended problems. The mathematical models used include advanced linear programming models: goal programming, column generation, Dantzig-Wolfe decomposition, and integer programming; game theory; queuing theory, and Markov Decision Process models. Solution methods for these models are also presented, as well as solutions to non-linear programming models, and Interior Point methods for solving linear programming models.
Pre-requisites: MIE262H1S
Format: 3/-/2/0.50
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MIE367: Cases in Operational Research
This course focuses on the integration of the results from earlier operational research courses and an assessment of the different methods with regard to typical applications. The course is taught using the case method. Students are expected to analyze cases based on real applications on their own, in small groups and during lecture sessions, and solve them using commercial software packages.
Pre-requisites: MIE365H1F
Format: 3/-/2/0.50
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MIE380: Ecological Systems
Basic concepts of ecology and the ecosystem. Particular focus will be on the interactions and transactions within and between biological and ecological systems with a special concern with the way the functioning of ecosystems can be influenced by human interventions. Response of organisms, populations, dynamic predator-prey and competition processes, and ecosystems to human interventions. Thermodynamic basis for food chains, energy flow, biodiversity and ecosystem stability. Introduction to industrial ecology and life cycle assessment principles. Response of receiving land, air and water to pollution. Additional topics include biogeochemical cycles, biogeography, habitat fragmentation and bioaccumulation.
Pre-requisites: EDV220H1 Exclusion
Format: 3/-/1/0.50
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MIE402: Vibrations
Fundamental concepts of vibration of mechanical systems. Free vibration single degree of freedom systems. Various types of damping. Forced vibrations. Vibration measuring instruments. Steady state and transient vibrations. Vibration of multi-degree of freedom systems. Vibration isolation. Modal analysis. Lagrange equations and Hamilton´s principle. Vibration of continuous systems. Special topics.
Pre-requisites: MAT186H1 F, MAT187H1 S, MAT188H1 F, MIE100H1 S, MIE222H1 S
Format: 3/1/2/0.50
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MIE404: Control Systems I
Modelling of dynamic systems. Analysis of stability, transient and steady state characteristics of dynamic systems. Characteristics of linear feedback systems. Design of PID control laws using frequency response methods and the root locus technique. Application of control law design tools to control pollutants in internal combustion engines.
Pre-requisites: none
Format: 3/3/2/0.50
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MIE407: Nuclear Engineering I: Reactor Physics and the Nuclear Fuel Cycle
This course covers the basic principles of the neutronic design and analysis of nuclear power reactors. Topics include radioactivity, neutron interactions with matter, the fission chain reaction, nuclear reactors, neutron diffusion and moderation, the critical reactor equation, nuclear reactor fuels, nuclear fuel cycle and economics, nuclear waste management and non-proliferation.
Pre-requisites: MIE230H1 F or equivalent; CHE468H1 F Exclusion
Format: 3/-/2/0.50
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MIE408: Nuclear Engineering II: Thermal and Mechanical Design of Nuclear Power Reactors
This course covers the basic principles of the thermo-mechanical design and analysis of nuclear power reactors. Topics include reactor heat generation and removal, nuclear materials, diffusion of heat in fuel elements, thermal and mechanical stresses in fuel and reactor components, single-phase and two-phase fluid mechanics and heat transport in nuclear reactors, and core thermo-mechanical design.
Pre-requisites: MIE407H1/MIE222H1, MIE312H1, MIE313H1 or equivalents; CHE468H1 Exclusion
Format: 3/-/2/0.50
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MIE411: Thermal Energy Conversion
Engineering applications of thermodynamics in the analysis and design of heat engines and other thermal energy conversion processes within an environmental framework. Steam power plants, gas cycles in internal combustion engines, gas turbines and jet engines. Refrigeration, psychrometry and air conditioning. Fossil fuel combustion and advanced systems includes fuel cells.
Pre-requisites: MIE210H1 S, MIE313H1 S
Format: 3/3/-/0.50
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MIE414: Applied Fluid Mechanics
This course builds upon the material introduced in Fluid Mechanics I and connects it to a wide range of modern technical applications of fluid flow. Applications include the design of pipe and microfluidic networks, transient flow phenomena, compressible flow and shocks, characteristics of pumps, open channel flow and an overview of flow measurement techniques. Lectures are complemented by laboratory experiments on topics such as centrifugal pumps, flow transients and fluid flow in microfluidic chips.
Pre-requisites: MIE312H1 F
Format: 3/3/1/0.50
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MIE418: Fluid Mechanics II
This course covers the physical and mathematical principles underlying some of the fundamental tools in fluid mechanics: Poiseuille´s law, the Moody chart, creeping and inviscid flow approximations, boundary layer theory, and lift/drag coefficients. Emphasis will also be placed on appreciating the explicit (and often implicit) assumptions made. Lectures are complemented by a computational fluid dynamics (CFD) laboratory component, covering the basic theory and practical use of CFD. Students will use an educational CFD package (FlowLab) to perform simulations related to topics discussed in the lectures, and solve a fluids engineering design problem.
Pre-requisites: MIE312H1F or equivalent
Format: 2/2/-/0.50
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MIE422: Automated Manufacturing
Introduction to Computer Integrated Manufactuing. Definitions, terminology. Organization of manufacturing systems. Introduction to NC machines. Introduction to robotics. Types of robot motion. Robot kinematics. Jacobians, singularities. Robot motion trajectories. Interpolation, spline fits. Robot joint control. Flexible manufacturing systems, justification. Robot cell design. Group technology. Design of group technology cell. Programmable logic controllers. Limited enrolment.
Pre-requisites: MIE221H1 or equivalent
Format: 2/2/-/0.50
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MIE438: Microprocessors and Embedded Microcontrollers
Review (number systems, CPU architecture, instruction sets and subroutines); Interfacing Memory; Interfacing Techniques; Transistors and TTL/CMOS Logic; Mechanical Switches & LED Displays; Interfacing Analog, A/D & D/A Conversions; Stepper Motors & DC Motors; RISC Technology and Embedded Processors; DAS Systems; Embedded Microcontroller System Design; CPU-based Control.
Pre-requisites: none
Format: 2/3/-/0.50
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MIE439: Biomechanics I
Introduction to the application of the principles of mechanical engineering - principally solid mechanics, fluid mechanics, and dynamics - to living systems. Topics include cellular mechanics, blood rheology, circulatory mechanics, respiratory mechanics, skeletal mechanics, and locomotion. Applications of these topics to biomimetic and biomechanical design are emphasized through case studies and a major, integrative group project.
Pre-requisites: none
Format: 3/2/-/0.50
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MIE440: Mechanical Design: Theory and Methodology
This course presents the engineering design process, with emphasis on theory and methodology related to conceptual design. Methods for enhancing creativity during conceptual design include using related and unrelated stimuli during idea generation, design by analogy, particularly biological analogies, and TRIZ/TIPS (theory of inventive problem solving). Design for assembly and design for manufacturing, with emphasis on design for injection molding, die casting and stamping, will be integrated into the various stages of design. Design for other life-cycle concerns, such as remanufacturing, and recycling will be introduced.
Pre-requisites: MIE341H1S, MIE221H1 S or equivalent
Format: 2/2/1/0.50
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MIE441: Computer Aided Design II
Problem definition and formulation for optimization, optimization models, and selected algorithms in optimization. State of the art software packages are introduced along with case studies. Emphasis is placed on gaining practical skills in solving realistic design problems by illustrating applied design examples.
Pre-requisites: MIE341H1 S & MIE222H1 S or equivalents
Format: 2/2/-/0.50
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MIE442: Machine Design
Introduction to the fundamental elements of mechanical design including load determination, failure analysis under static and dynamic loads, surface failure and the selection of engineering materials and manufacturing processes. Consideration is given to the characteristics and selection of machine elements such as bearings, shafts, couplings, gears and fasteners. The laboratory provides experience in reverse engineering and insight into the design and manufacture of common consumer products.
Pre-requisites: MIE320H1 S
Format: 3/1.5/3/0.50
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MIE443H1S: Mechatronics Systems: Design and Integration
The course aims to raise practical design awareness, provide pertinent project engineering methodology, and generate a know-how core in integration of complex automation. This course has mainly practical content, and is integral and useful in the training and education of those students who plan to be employed in areas related to intelligent automation, as well as to the breadth of knowledge of all others. Although emphasis will be on robotic-based automation (mechatronics), the learning will be useful in all domains of system integration.This course will introduce students to the basics of integration, methodology of design, tools, and team project work. The course will be monitored based on projects from a selected list of topics. The lectures will be in format of tutorials as preparation and discussions on project related issues. A main goal is to bring the methods, means and spirit of the industrial design world to the class room. Emphasis will be on understanding the elements of integration, methodology and approaches, and will involve numerous case studies. Specifically the course will provide a practical step-by-step approach to integration: specifications, conceptual design, analysis, modeling, synthesis, simulation and bread-boarding, prototyping, integration, verification, installation and testing. Issues of project management, market, and economics will be addressed as well. Limited Enrolment.
Pre-requisites: MIE346H1 S
Format: 3/3/1/0.50
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MIE444: Mechatronics Principles
This course provides students with the tools to design, model, analyze and control mechatronic systems (e.g. smart systems comprising electronic, mechanical, fluid and thermal components). This is done through the synergic combination of tools from mechanical and electrical engineering, computer science and information technology to design systems with built-in intelligence. The class provides techniques for the modeling of various system components into a unified approach and tools for the simulation of the performance of these systems. The class also presents the procedures and an analysis of the various components needed to design and control a mechatronic system including sensing, actuating, and I/O interfacing components.
Pre-requisites: MIE342H1, MIE346H1
Format: 2/3/-/0.50
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MIE447: Electromechanical Energy Conversion
The purpose of this course will be to develop a basic understanding of electromechanical energy conversion principles and devices. The topics covered will include: principles of electromechanical energy conversion, ferromagnetic materials and their properties, basic operating concepts and steady state models for transformers, dc machines and ac machines. The laboratory provides an introduction to electromechanical test and measurement procedures to study electrical machines and their characteristic behaviour.
Pre-requisites: MIE230H1 F, MAT234H1 S, MIE342H1 F
Format: 3/1.5/2/0.50
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MIE448: Engineering Psychology and Human Performance
An examination of the relation between behavioural science and the design of human-machine systems, with special attention to advanced control room design. Human limitations on perception, attention, memory and decision making, and the design of displays and intelligent machines to supplement them. The human operator in process control and the supervisory control of automated and robotic systems. Laboratory exercises to introduce techniques of evaluating human performance.
Pre-requisites: MIE231H1 F or equivalent; MIE237H1 S is recommended
Format: 3/3/-/0.50
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MIE449: Human Computer Interface Design for Complex Systems
The course will focus primarily, but not exclusively, on how to design computer-based interfaces for complex human-machine systems, such as power plants. An ecological approach will be adopted, pointing to the importance of understanding the structure of the work environment and then trying to present that information in a way that takes advantage of human perceptual systems. Various design techniques for enhancing the informativeness of interfaces will be discussed within the context of several design applications.
Pre-requisites: MIE240H1 F
Format: 3/2/-/0.50
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MIE451: Decision Support Systems
Students are provided with an understanding of the contribution that various types of Decision Support Systems make within an organization. The course will cover decision processes, modeling, data representation and the importance of the user interface. Students will learn DSS design, analysis, integration and implementation. The course will also cover group decision support, executive information systems, enhancing creativity and the future of DSS. Students will construct a DSS using workstation based tools in the information systems laboratory.
Pre-requisites: MIE253H1 S, MIE350H1 F
Format: 3/1/1/0.50
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MIE457: Knowledge Modelling and Management
This course explores both the modelling of knowledge and its management within and among organizations. Knowledge modelling will focus on knowledge types and their semantic representation. It will review emerging representations for knowledge on the World Wide Web (e.g., schemas, RDF). Knowledge management will explore the acquisition, indexing, distribution and evolution of knowledge within and among organizations. Emerging Knowledge Management System software will be used in the laboratory.
Pre-requisites: MIE253H1 S, MIE350H1F
Format: 3/1/1/0.50
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MIE460: Manufacturing and Production Systems
Study of current issues, emerging technologies, and future developments in computer integrated manufacturing. Main topics include design and analysis of manufacturing and assembly systems, group technology, just-in-time production and computer control of manufacturing systems. Prerequisite: MIE363H1 S or equivalent
Pre-requisites: none
Format: 3/-/2/0.50
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MIE463: Integrated System Design
Integrated System Design is a capstone course that integrates the various perspectives of an integrated system taught in third year, including: Optimization, Quality, Management, Information, and Economics. The course approaches systems design from a Business Process perspective. Beginning with the Business Processes, it explores the concept of Business Process Re-engineering. It extends the concept of business processes to incorporate perspectives such as cost, quality, time, behaviour, etc. The second part of the course focuses on business process design tools. Namely, software tools to both design, simulate and analyse business processes. The third part of the course explores the application of process design to various domains. Guest speakers are used to provide domain background.
Pre-requisites: Fourth-year, Industrial Engineering standing
Format: 3/1/1/0.50
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MIE464: Smart Materials and Structures
Smart materials are characterized by new and unique properties that can be altered in response to environmental stimuli. They can be used in a wide range of applications since they can exceed the current abilities of traditional materials especially in environments where conditions are constantly changing. This course is designed to provide an integrated introduction to smart materials and structures, and provide a strong foundation for further studies and research on these materials. Topics include: structure, processing, and properties of smart materials; dependence of properties on structure; processing and design; mechanical, thermal, electrical, magnetic and optical smart materials systems such as shape memory materials, electrostrictive materials, magnetostrictive materials, active polymers; design, modeling and optimization of smart materials systems using CAD and FEA software packages.
Pre-requisites: MSE101H1, MSE270H1/MSE235H1, MIE222H1/MSE316H1
Format: 3/2/0/0.50
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MIE468: Facility Planning
Fundamentals of developing efficient layouts of various production/service systems. Topics include layout procedures, computerized layout planning, single-facility and multifacility location problems, material-handling systems design for production facilities.
Pre-requisites: MIE231H1 F, MIE262H1 S
Format: 3/1/1/0.50
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MIE469: Reliability and Maintainability Engineering
An introduction to the life-cycle costing concept for equipment acquisition, operation, and replacement decision-making. Designing for reliability and determination of optimal maintenance and replacement policies for both capital equipment and components. Topics include: identification of an items failure distribution and reliability function, reliability of series, parallel, and redundant systems design configurations, time-to-repair and maintainability function, age and block replacement policies for components, the economic life model for capital equipment, provisioning of spare parts.
Pre-requisites: MIE231H1 F/MIE258H1 F or equivalent
Format: 3/-/2/0.50
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MIE488: Entrepreneurship and Business for Engineers
A complete introduction to small business formation, management and wealth creation. Topics include: the nature of the Entrepreneur and the Canadian business environment; business idea search and Business Plan construction; Buying a business, franchising, taking over a family business; Market research and sources of data; Marketing strategies promotion, pricing, advertising, electronic channels and costing; The sales process and management, distribution channels and global marketing; Accounting, financing and analysis, sources of funding, and financial controls; The people dimension: management styles, recruiting and hiring, legal issues in employment and Human Resources; Legal forms of organization and business formation, taxation, intellectual property protection; the e-Business world and how businesses participate; Managing the business: location and equipping the business, suppliers and purchasing, credit, ethical dealing; Exiting the business and succession, selling out. A full Business Plan will be developed by each student and the top submissions will be entered into a Business Plan competition with significant cash prices for the winners. Examples will be drawn from real business situations including practicing entrepreneurs making presentations and class visits during the term. (Identical courses are offered: ECE488H1F, MSE488H1F, CHE488H1S and CIV488H1S.)
Pre-requisites: APS234 and APS432 Exclusion
Format: 3/-/2/0.50
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MIE496H1 or Y1: Thesis
The purpose of the thesis course is two-fold: to allow students to pursue a technical project of interest, and to improve their communication skills. The course is optional for fourth-year Mechanical students, and can be completed as a one-term or a two-term course. The two-term thesis course is required for fourth-year Industrial students. The grade of the ÒYÓ course which extends over two sessions will be included in the weighted average of the Winter Session only. Students may work individually or in groups, and must obtain a supervisor (a member of the University of Toronto teaching staff). The course comprises written work and oral presentations.
Pre-requisites: none
Format: -/6/1/0.5/1.00
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MIE506H: MEMS Design and Microfabrication
This course will present the fundamental basis of microelectromechanical systems (MEMS). Topics will include: micromachining/microfabrication techniques, micro sensing and actuation principles and design, MEMS modeling and simulation, and device characterization and packaging. Students will be required to complete a MEMS design term project, including design modeling, simulation, microfabrication process design, and photolithographic mask layout.
Pre-requisites: MIE222H1S, MIE342H1F
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MIE511H: Problems in Heat Transfer
Review of fundamentals of conduction, convection and radiation, solution of two and three dimensional conduction, transient conduction by analytical and numerical techniques, convection from bodies and internal flows, free convection from bodies and in plumes, boiling and condensation, radiation from real surfaces.
Pre-requisites: none
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MIE515H: Alternative Energy Systems
This courses covers the basic principles and design of selected alternative energy systems. Systems discussed include solar thermal systems, solar photovoltaic, wind technology, fuel cells, and energy storage.
Pre-requisites: MIE 210H, MIE 312H and some knowledge of chemistry, or equivalent courses
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MIE516H: Combustion and Fuels
New course, January 2008, pending approval from SGS. Introduction to combustion theory. Chemical equilibrium and the products of combustion. Combustion kinetics and types of combustion. Pollutant formation. Design of combustion systems for gaseous, liquid and solid fuels. The use of alternative fuels (hydrogen, biofuels, etc.) and their effect on combustion systems.
Pre-requisites: none
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MIE517H: Fuel Cell Systems
New course, January 2008, pending approval from SGS. Thermodynamics and electrochemistry of fuel cell operation and testing; understanding of polarization curves and impedance spectroscopy; common fuel cell types, materials, components, and auxiliary systems; high and low temperature fuel cells and their applications in transportation and stationary paower generation, including co-generation and combined heat and power systems; engineering system requirements resulting from basic fuel cell properties and characteristics.
Pre-requisites: none
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MIE518H: Fundamentals of Aircraft Design
Pre-requisites: none
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MIE536F: Engineering Analysis II
Classification of p.d.e.´s and their reduction to Canonical forms. Coordinate systems. Solution of p.d.e.´s by separation of variables techniques. Superposition; power series solutions; eigen function expansions methods. Green´s functions and their applications. Solution of hyperbolic equations by the method of characteristics.
Pre-requisites: none
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MIE539H: Biomechanics II
Introduction to a selection of advanced topics in biomechanics, including molecular mechanics, cellular mechanics and mechanotransduction, circulatory mechanics (e.g., unsteady blood flow, arterial pulse propagation), muscle mechanics, and skeletal mechanics (e.g., bone fracture mechanics, viscoelasticity of soft connective tissues).
Pre-requisites: MIE439H1F or equivalent or permission of instructor
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MIE540H: Product Design
Processes and approaches to creative product design involving product research, establishment of design parameters, experimentation, development of conceptual alternatives, visualization, evaluation, revision, optimization and presentation. Projects require consideration of functional utility, marketing, human factors, use of materials and processes, costing, manufacturing feasibility, appearance, service/maintenance and other diverse aspects.
Pre-requisites: none
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MIE561H: Healthcare Systems
MIE 561 is a “cap-stone” course. Its purpose is to give students an opportunity to integrate the Industrial Engineering tools learned in previous courses by applying them to real world problems. While the specific focus of the case studies used to illustrate the application of Industrial Engineering will be the Canadian health care system, the approach to problem solving adopted in this course will be applicable to any setting. This course will provide a framework for identifying and resolving problems in a complex, unstructured decision-making environment. It will give students the opportunity to apply a problem identification framework through real world case studies. The case studies will involve people from the health care industry bringing current practical problems to the class. Students work in small groups preparing a feasibility study discussing potential approaches. Although the course is directed at Industrial Engineering fourth year and graduate students, it does not assume specific previous knowledge, and the course is open to students in other disciplines.
Pre-requisites: none
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MIE562H: Scheduling
This course takes a practical approach to scheduling problems and solution techniques, motivating the different mathematical definitions of scheduling with real world scheduling systems and problems. Topics covered include: job shop scheduling, timetabling, project scheduling, and the variety of solution approaches including constraint programming, local search, heuristics, and dispatch rules. Also covered will be information engineering aspects of building scheduling systems for real world problems. (Also accessible to undergraduate students per the U/G calendar). General Level Course.
Pre-requisites: none
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MIE566H: Decision Analysis
The purpose of this course is to provide a working knowledge of methods of analysis of problems and of decision making in the face of uncertainty. Topics include decision trees, subjective probability assessment, multi-attribute utility approaches, goal programming, Analytic Hierarchy Process and the psychology of decision making. (Also accesible to undergraduate students per the U/G calendar). General Level Course.
Pre-requisites: none
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