Graduate Courses

WINTER COURSE ENROLMENT BEGINS OCTOBER 05, 2017

The complete list of ALL ELITE (APS) graduate courses is here

Students who wish to enrol in 500-level courses are encouraged to do so as early as possible as seats are limited.

Fall 2017 1000-level graduate courses begin the week of September 11 unless otherwise indicated. 500-level courses, and 1000-level courses associated with a 400-level course, begins the week of September 4.

COURSE ADD/DROP DEADLINES:  2017 MIE course ADD and DROP dates are listed here.  For APS Summer courses, please follow deadline dates per ELITE's schedule as noted on the 'Admin. Info' section of each course.

For All Reading Course (MIE 2002H, 2003H, 2004, 2005H) and M.Eng. Project (MIE 8888Y):

     ► ADD and DROP dates are 3 days before the posted SGS deadline

     ►All students must submit a Course ADD/DROP form to the graduate office (signed by student & supervisor) as follows: 

Reading Course (2 forms to submit): (MEng students cannot add a Reading Course without a MEng Project)

MEng Project: MEng Project list here (2 forms to submit):

COURSE OFFERINGS LEGEND Courses are designated to be taught Annually, Biennially (every other year), or Occasionally. However, instructor availability will sometimes affect when a course is next offered.

Courses designated Research are mainly intended for research stream graduate students, to prepare them with a theoretical background. Therefore, these courses tend to be technical and thus are unlikely to be "introductory" or "overview" courses.

 

Academic sessions:

Course areas:

Fluid Mechanics

# Course Instructor Type Information
1
This fundamental course develops the conservation laws governing the motion of a continuum and applies the results to the case of Newtonian fluids, which leads to the Navier-Stokes equations. From these general equations, some theorems are derived from specific circumstances such as incompressible fluids or inviscid fluids. Basic solutions to, and properties of, the governing equations are explored for the case of viscous, but incompressible, fluids. Topics included involve exact solutions, low-Reynolds-number flows, and laminar boundary layers.

Undergraduate level fluid mechanics, differential and integral calculus, differential equations.
E. Young Annually
Research
Winter 2018
Start: Jan. 08
9am-12noon
Tuesday
SF 2202
2
The basic partial differential equations of material transport by fluid flow is derived along with the most significant analytical solutions of these equations, e.g., fully developed laminar flow and heat transfer in pipes and channels. Prediction of heat and mass transfer rates based on analytical and numerical solutions of the governing partial differential equations. Heat transfer in fully developed pipe and channel flow, laminar boundary layers, and turbulent boundary layers. Approximate models for turbulent flows. General introduction to heat transfer in complex flows. Discussion will be centered on boundary conditions for heat transfer, similarity and dimensionless parameters, and boundary layer approximations.

J. Mostaghimi Annually Winter 2018
Start: Jan. 03
2-4pm
Wednesday
BA 2139
4
In this course, we cover fundamentals of transport processes, microfabrication and integration techniquest that are relevant to micro and nanofluidic systems. Such systems have a variety of applications, including laboratories-on-a-chip for diagnostic applications, miniature chemical or power plants, or cell culture units. Discussed topics include: pressure and electrically driven fluid flow and transport in small confinements, bulk fabrication processes relevant to microfluidic systems, integration of sensors and imaging, separations, microscale cell culture systems, chemical microreactors. Scaling rules for microfluidic systems and world-to-chip interfaces between microsystems and conventional (analytical) equipment will be discussed.The course consists of a lecture combined with project work leading to a research proposal and its presentation contributed by the course participants

Pre-requisites: An undergraduate course in one (preferably two) of: Fluid Mechanics, Microfabrication or Analytical Chemistry
A. Guenther Annually Winter 2018
Start: Jan. 05
10am-1pm
Friday
MC 310
5
Residential and industrial buildings require heating, ventilating, and air conditioning systems in order to provide a comfortable living and working environment.

This course is designed to explore the fundamentals of HVAC systems. The first stop to achieve this goal is to understand the Psychrometrics which deals with the properties of moist air and how it responds to different air conditioning processes. In the next step, some of the common elements of HVAC systems are studied, followed by air quality requirements including thermal comfort, physiological considerations and environmental indices. The last step is the estimation of a building’s heat gain and loss through heat transmission in building structure as well as solar radiation, and overall heat transfer coefficient. Having access to this data, space heat loads, cooling loads, and energy cost calculations can be conducted.

M. Touchie Annually Winter 2018
schedule posted here
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Thermal Sciences

# Course Instructor Type Information
1
Thermodynamics is reviewed. Quantum mechanics is introduced and used to define the possible microscopic states of macroscopic systems. For macroscopic systems in thermodynamic equilibrium, the concept of ensemble averages is introduced and the postulates of statistical mechanics are used to calculate their thermodynamic properties from knowledge of their molecular nature. Entropy is interpreted in terms of quantum mechanical concepts. The thermal properties of solids, of gases adsorbed on solid surfaces, of electrons in solids, of radiation, and of ideal gases are studied.

Pre-requisites: MIE 1101H, Advanced Classical Thermodynamics, or equivalent
C. Ward Biennially
Research
Winter 2018
Start: Jan. 08
12-1pm
Monday, Wednesday, Friday
HA 316
2
This course covers the basic principles of where and how global energy is currently supplied, by primary source. The aim is to provide an energy literacy that can inform research, technology development and effective policy in this area. The course content will be divided strictly according to the current global energy mix (i.e. 34% oil, 29% coal, 23% gas, 7% hydro, 5% Nuclear, 2% Other). In each case background reading and critical analyses will be applied to: (a) the characteristics of the resource; (b) the infrastructure for extraction/development of the resource; (c) the usage of the resulting energy; and (d) the implications for usage. Assignments and exams will assess both background knowledge and the ability to apply fluid flow, thermodynamic and heat transfer analyses to energy supply systems.

J. Riordon Annually Winter 2018
Start: Jan. 08
Monday
6-9pm
FG 103
3
Analysis of the various processes occurring in internal combustion engines. Thermodynamic analysis will be conducted using gas cycles and fuel-air cycles and the results compared to actual engine cycles. The influence of air, fuel and exhaust flows, heat and mass loss, and friction is considered. The combustion process is examined, especially its influence on exhaust emissions.

Pre-requisites: MIE 516 or be taking MIE 1123 concurrently with MIE 1122. Please contract instructor to verify if you have the prerequisite.
J. Wallace Annually Winter 2018
Start: Jan. 08
3-6pm
Monday
MC 306
4
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.

H. Hasanein Annually Winter 2018
co-taught with MIE408H1S, schedule TBA
TBA
5
This course observes: conservation of mass, momentum, energy and species; diffusive momentum, heat and mass transfer; dimensionless equations and numbers; laminar boundary layers; drag, heat transfer and mass transfer coefficients; transport analogies; simultaneous heat and mass transfer; as well as evaporative cooling, droplet evaporation and diffusion flames.

Pre-requisites: MIE313H1
S. Chandra Annually Winter 2018
schedule TBA
TBA
6
This course explores exact solution techniques for common engineering Partial Differential Equations (PDEs), such as separation of variables, superposition, eigenfunctions, orthogonal functions, complex functions. Other topics include: derivation of common engineering PDEs, introduction to methods of weighted residuals for deriving finite element formulations and limitations of exact solutions relative to approximate solutions.

D. Steinman Annually Winter 2018
schedule TBA
TBA
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Mechanics and Materials

# Course Instructor Type Information
1
Review of tensor notation; analysis of stress in a continuum including principal stress, invariants, spherical and deviator tensors; analysis of deformation and strain in a continuum including Lagrangian and Eulerian descriptions, spherical and deviator tensors, strain rate tensors and compatibility equations; equilibrium equations; constitutive relations for general linear solid, application to elastic, plastic and viscoelastic solids; anisotropic elasticity, orthotropic materials.

T. Filleter Annually
Research
Winter 2018
Start: Jan. 10
2-4:30pm
Wednesday
GB 221
2
A cell is the basic unit of life in all organisms. Understanding cellular structures and how cells function is fundamental to all aspects of biosciences and is the basis for disease diagnostics/therapeutics and drug discovery. For single cell studies, the development of enabling micro and nanoengineered techniques/systems is a highly active field. The objectives of this course are two fold. (1) The course targets engineering graduate students to introduce essential topics in cell biology. Example topics are cells and organelles, membranes, cytoskeleton and cell motility, energy and information flow in cells, and cell signaling and communication. (2) The course will also discuss micro/nano fabricated/engineered techniques/systems for manipulating cells, stimulating cells, and quantitatively measuring cellular activities. Example topics are cell microenvironment control, microfluidics for cell biology, and stimulation and measurement techniques at the single-cell and molecular levels.

L. You, Y. Sun Annually Winter 2018
Start: Jan. 11
1-4pm
Thursday
MC 306
3
Materials can exhibit dramatically altered mechanical properties and physical mechanisms when they have characteristic dimensions that are confined to small length-scales of typically below ~ 100 nm. These size-scale effects in mechanics result from the enhanced role of surfaces and interfaces, defects and material variations, and quantum effects. Nanostructured materials which exhibit these size-scale effects often have extraordinary mechanical properties as compared to their macroscopic counterparts. This course is designed to provide an introduction to nanomechanics and size-scale mechanical phenomena exhibited by nanostructured materials, and provide a platform for future advanced studies in the areas of computational/experimental nanomechanics and nanostructured materials design and application. Topics include: an introduction to nanomechanics; atomic/molecular structure of materials & nanomaterials synthesis; limitations of continuum mechanics, nanomechanical testing techniques (AFM, nanoindentation, in situ SEM/TEM); atomistic modeling techniques (DFT, MD, Course-grained MD); size-scale strength, plasticity, and fracture ; Hall-Petch strengthening, superplasticity; nanotribology, atomistic origins of friction, nanoscale wear; nano-bio-mechanics; mechanics of nanocomposites.

T. Filleter Annually
Research
Winter 2018
Start: Jan. 12
3-5:30
Friday
MS 2173
4
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 power generation, including co-generation and combined heat and power systems; engineering system requirements resulting from basic fuel cell properties and characteristics.

O. Kesler Annually Winter 2018
schedule TBA
TBA
5
This course is designed to provide an integrated multidisciplinary approach to Advanced Manufacturing Engineering, and provide a strong foundation including fundamentals and applications of advanced manufacturing AM. Topics include: additive manufacturing, 3D printing, micro and nanomanufacturing, intelligent manufacturing, Advanced Materials, lean manufacturing, AM in machine design and product development, process control technologies. New applications of AM in sectors such as automotive, aerospace, biomedical, electronic, food processing.

H. Naguib Annually Winter 2018
schedule TBA
TBA
6
This course takes a 360° perspective on product design: beginning at the market need, evolving this need into a concept, and optimizing the concept. Students will gain an understanding of the steps involved and the tools utilized in developing new products. The course will integrate both business and engineering concepts seamlessly through examples, case studies and a final project. Some of the business concepts covered include: identifying customer needs, project management and the economics of product design. The engineering design tools include: developing product specifications, concept generation, concept selection, FAST diagrams, orthogonal arrays, full and fractional factorials, noises, interactions, tolerance analysis and latitude studies. Specific emphasis will be placed on robust and tunable technology for product optimization and generating product families. Critical Parameters will be developed using the Voice of the Customer (VOC), FAST diagrams and a House of Quality (HOQ).

Pre-requisites: MIE231H1 F/MIE236H1 F or equivalent
D. Nacson Annually Winter 2018
schedule TBA
TBA
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Mechatronics and Dynamics

# Course Instructor Type Information
1
Variational principles and Lagrange´s Equations, Hamilton´s principle. Kinematics of rigid body motion, Euler angles, rigid body equations of motion. Hamilton´s equations, cyclic coordinates, Legendre transformations. Canonical transformations, Hamilton-Jacobi theory.

Pre-requisites: Undergraduate dynamics course or instructor approval
E. Diller Annually
Research
Winter 2018
Start: Jan. 09
Tuesday
9-11am,
Thursday
1-2pm
BA 1240 (Tu) BA 2179 (Th)
2
Multi-degree of freedom systems, using both analytical and approximate methods. Vibrations of continuous systems, including strings, bars and membranes. Natural modes of plate vibration - approximate methods such as Rayleigh´s Energy Methods, Rayleigh-Ritz Method, Galerkin´s Method, and assumed mode method. Introduction to finite element analysis.

K. Behdinan Annually Winter 2018
Start: Jan. 04
9am-12noon
Thursday
RS 310
3
The purpose of the course is to introduce the theory and practical application of acoustics noise and vibration control. While the emphasis of the study will be on the built environment, both indoor and outdoor, the methods taught can also apply to other industries, e.g. the automotive industry. Both the physics and perception of sound will be discussed covering such wide ranging topics as concert hall design, speech intelligibility, HVAC noise control design and building isolation from rail noise, to name a few. The course combines theoretical introductions to the subjects of acoustics, noise and vibration and follows them up with case studies from industry.

TBA Annually Winter 2018
Start: Jan. 08
6-8pm
Tuesday
WB 119
4
This course provides students with tools to design, model, analyze and control precision mechatronic systems. Specifically, 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 lists techniques and issues that arise when interfacing various components in order to form complex mechatronic systems. The class presents the properties and characteristics of smart material based sensors and actuators with a focus on piezoceramics, its processing and its implementation into various sensors and actuator configurations.

R. Ben Mrad Annually Winter 2018
Start: Jan. 17
1-3pm
Wednesday
BA 2179
5
Micro and Nano robotics is an interdisciplinary field which draws on aspects of microfabrication, robotics, medicine and materials science. This project-focused course will cover the design, modeling, fabrication, and control of miniature robot and micro/nano-manipulation systems. The course includes case studies of current micro/nano-systems, challenges and future trends, and potential applications in addition to the fundamentals of physics at small size scales.

E. Diller Annually Winter 2018
schedule posted here
TBA
6
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
Y. Sun Annually Winter 2018
schedule posted here
TBA
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Operations Research

# Course Instructor Type Information
1
The objective of the course is to learn analytical models and overview quantitative algorithms for solving engineering and business problems. Data science or analytics is the process of deriving insights from data in order to make optimal decisions. It allows hundreds of companies and governments to save lives, increase profits and minimize resource usage. Considerable attention in the course is devoted to applications of computational and modeling algorithms to finance, risk management, marketing, health care, smart city projects, crime prevention, predictive maintenance, web and social media analytics, personal analytics, etc. Materials in this course are quantitative and computational in nature as well as analytical. Topics include basic statistic, regressions, uncertainty modeling, simulation and optimization modeling, data mining and machine learning, text analytics, artificial intelligence, big data fundamentals and visualizations. IPython and IBM Watson Analytics are modeling and visualization software used in this course. Practical aspects of computational models and case studies in Interactive Python are emphasized.

O. Romanko Annually Winter 2018
Start: Jan. 08
6-9pm
Monday
GB 244
2
Branch and bound, implicit enumeration, cutting planes, all integer tableau methods, quadratic 0-1 algorithms, commercial software, Benders´ decomposition, Lagrangian relaxation, column generation, several practical applications from the literature.

Pre-requisites: MIE262, APS1005 or equivalent
M. Bodur Annually
Research
Winter 2018
Start: Jan. 08
2-5pm
Monday
AB 114
3
A course in renewal theory, Markov renewal theory, regenerative and semi-regenerative processes, Markov and semi-Markov processes and decision processes with emphasis on applications in production/inventory control, maintenance, communication systems, flexible manufacturing systems.

Pre-requisites: MIE1605 or equivalent.
V. Makis Biennially
Research
Winter 2018
Start: Jan. 05
3-6pm
Friday
MC 306
4
This course is an introduction to modelling and analysis of stochastic dynamical systems using computer simulation. The course will provide a rigorous yet accessible treatment of the probability foundations of simulation, and discuss programming simulation models in a lower-level language (e.g., Python). Design and analysis of simulation experiments will also be covered. Applications in service and financial engineering will be emphasized." Pre-requisites: MIE231 and APS106S or equivalent (Undergraduate level probability and computer programming)

V. Sarhangian Biennially Winter 2018
Start: Jan. 09
9am-12noon
Tuesday
MC 306
5
This is a course on Markov Decision Processes (MDP) with an emphasis on infinite horizon MDP. The approach will include basic concepts in optimization theories in linear vector space, different types of optimality criteria, solution techniques, and approximation approaches.

Pre-requisites: Permission of Instructor
C.G. Lee Biennially
Research
Winter 2018
Start: Jan. 10
Wednesday
12noon-3pm
MC 306
6
This course reviews a wide variety of methodologies in the healthcare sector. Although many of the problems of O.R. in healthcare are analytically similar to problems in other industries, many others are quite unique due to certain characteristics of the healthcare systems. For example, the possibility of death, quality of life, difficulty of measuring quality and value of outcomes, multiple decision makers (doctors, nurses, patients, administrators), and the concept of access to healthcare as a right. We consider strategic problems of system design and planning (large allocation decisions), operational and tactical problems of management, monitoring and control methodologies; and medical management involving disease detection and treatment models.

Pre-requisites: Intro to Operations Research (deterministic and stochastic)
M.Eng. students require pre-approval from professor.
M. Carter Biennially
Research
Winter 2018
Start: Jan. 04
1-4pm
Thursday
MB 101
7
The goal of this course is to familiarize students with computational quantitative techniques that are used in finance and risk management. Simulation and optimization are among the most important quantitative tools, which allow one to model and to optimize financial portfolios taking into account uncertainty in future asset values. A number of financial and risk management applications are described in detail. Matlab is used for illustrating the computations as well as for developing a software package during the course project. Practical aspects of risk modeling, which are used by industry practitioners, are emphasized.

Pre-requisites: APS1002H Financial Engineering
Students will need to use MATLAB for assignments, access to MATLAB is required. Basic knowledge of MATLAB is a pre-requisite.
O. Romanko Annually Winter 2018
Start: Jan. 09
6-9pm
Tuesday
RS 208
8
This course illustrates the use of industrial engineering techniques in the field of healthcare. Common strategic, tactical, and operational decision-making problems arising in healthcare will be approached from an operations research perspective. Unique aspects of healthcare compared to other industries will be discussed. Real-world datasets will be provided to illustrate the complexity of applying standard operations research methods to healthcare.

D. Aleman Annually Winter 2018
Start: Jan. 09
3-6pm
Tuesday
BA 1230
9
Branch and bound, implicit enumeration, cutting planes, all integer tableau methods, quadratic 0-1 algorithms, commercial software, Benders´ decomposition, Lagrangian relaxation, column generation, several practical applications from the literature.

Pre-requisites: MIE262, APS1005 or equivalent
M. Bodur Annually Winter 2018
Start: Jan. 08
2-5pm
Monday
AB 114
10
MIE1699H: Special Topics in Operations Research
TBA Occasionally Winter 2018
Start: Jan. TBA
TBA
TBA
TBA
11
The goal of the course is to introduce students to principles of reliability from a practical point of view. The course covers principles of quality, principles of reliability, reliability of systems, failure rate data and models, quality and reliability in design and manufacturing, and reliability and availability in maintenance including cost models. Some other topics could be covered, depending on timing. A moderate knowledge of probability and statistics is a requirement.

Pre-requisites: Any second year engineering or higher level course in probability and statistics
D. Banjevic Annually Winter 2018
Start: Jan. 10
6-9pm
Wednesday
LM 157
12
MIE561 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.

M.W. Carter Annually Winter 2018
schedule posted here
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Human Factors & Ergonomics

# Course Instructor Type Information
1
Introduction to ergonomics in industrial settings. Biomechanics related to manual materials handling, repetitive strain injuries, visual and auditory limitations, human information processing and short term memory limitations, psychomotor skill, anthropometry and workspace layout, population stereotypes, design of controls and displays, circadian rhythms and design of shift work schedules. Exclusions: MIE240H or MIE343H.

Pre-requisites: May not have taken an introduction to physical ergonomics or kinesiology previously.
If student has previously taken an ergonomics course, please contact the professor before enrolling.
P. White Annually Winter 2018
Start: Jan. 04
6-9pm
Thursday
BA 1220
2
A survey of theoretical and applied issues in human interaction with automation. Topics included are: philosophy of human-machine systems, types and levels of automation, models of human-automation interaction, function allocation, mode error, bias, trust, workload and situation awareness, automation interfaces, decision-aiding, adaptable and adaptive (intelligent) automation, supervisory control, and management of human-automation systems

Pre-requisites: MIE1401 or consent of the instructor
G. Jamieson Biennially
Research
Winter 2018
Start: Jan. 10
2-4pm
Wednesday
AB 114
3
This course covers various statistical models used in empirical research, in particular human factors research, including linear regression, mixed linear models, non-parametric models, generalized linear models, time series modeling, and cluster analysis. For various observational and experimental data, students will be proficient in generating relevant hypotheses to answer research questions, selecting and building appropriate statistical models, and effectively communicating these results through interpretation and presentation of results. Basic knowledge in probability, statistics, and experimental design is required. The course will not focus on the design of experiments. In addition to homework assignments and exams, the students will review and critique journal articles and conference papers for the validity of the use of various statistical models. The students will work on a term long project of their choice and will be encouraged to relate this assignment to their current research projects. The examples used in class and the assignments will be drawn from human factors research. However, the students will not be required to use human factors data for their project.

B. Donmez Annually
Research
Winter 2018
Start: Jan. 10
5-8pm
Wednesday
BA B024
4
The course will cover a wide range of human factors topics related to transportation, in particular motor vehicle transportation. The students will gain an understanding of road user characteristics and limitations and how these affect design of traffic control devices and the roadway. The course topics include: history and scope of human factors in transportation; vision and information processing in the context of driving; driver adaptation; driver education, driver licensing and regulation; traffic control devices; crash types, causes, and countermeasures; alcohol, drug, and fatigue effects; forensic human factors.

The course will be taught in the form of lectures followed by relevant case studies involving practical application of knowledge gained. Case studies, and related assigned readings, will involve human factors in relation to crash pattern analysis and countermeasure selection, highway and traffic control design issues, driver regulation policy issues, and forensic investigation. The students will work on two projects, one in each half of the term, on topics of their choice. They will be asked to make presentations on these projects.

M. Masliah Annually
Research
Winter 2018
Start: Jan. 02
6-9pm
Tuesday
SS 1072
5
Frameworks, tools and methods for the analysis and design of cognitive work. The course will emphasize computer-based work in production- and/or safety-critical systems. Primary frameworks include Cognitive Work Analysis and Ecological Interface Design, with consideration of complementary perspectives in Cognitive Systems Engineering. The design element will emphasize the human-machine interface.

Pre-requisites: psychology, covering at least visual perception, memory & principles of spatial navigation: MIE448/1407/523
TBA Biennially
Research
Winter 2018
Start: Sept. TBA
TBA
TBA

All interested students should come to the first class in January (Day: Jan. XX) to discuss course outline and expected term work; even if the course is full
TBA
6
The integration of human factors into engineering projects. Human factors integration (HFI) process and systems constraints, HFI tools, and HFI best practices. Modelling, economics, and communication of HFI problems. Examples of HFI drawn from energy, healthcare, military, and software systems. Application of HFI theory and methods to a capstone design project, including HFI problem specification, concept generation, and selection through an iterative and open-ended design process.

K. Iwsa-Madge & R. Leger Annually Winter 2018
schedule posted here
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Information Engineering

# Course Instructor Type Information
1
This course will explore theoretical techniques for the design and analysis of formal ontologies. Topics will include the design of verified ontologies, methodologies for proving properties about ontologies, and applications of classification theorems from mathematics. These techniques will be applied to ontologies that are currently being used in government and industry.

Pre-requisites: MIE457 and MIE1501
M. Gruninger Biennially
Research
Winter 2018
Start: Jan. 08
2-4pm
Monday
BA 2179
2
This course is a research seminar that focuses on recent developments in the area of Data Analytics. Science, businesses, society and government are been revolutionized by data-driven methods. The increased access to large quantities of digital information has provided new opportunities for innovation. A new area of Data Analytics, known as Big Data, is made possible thanks to novel affordable techniques for processing huge amounts of data. This seminar provides an overview of data analytics concepts, approaches, and techniques, including distributed computations on massive datasets and frameworks for enabling large-scale parallel data processing on clusters of commodity servers. Emphasis is given to algorithmic techniques for analyzing Web Data. The course evaluation is based on course presentations and a project. The project goal is to prepare publishable research contributions in the area of data analytics.

Pre-requisites: An undergraduate level course in Databases, such as MIE253 Data Modelling, or equivalent.
M. Consens Annually Winter 2018
Start: Jan. 16
3-6pm
Tuesday
RS 303
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Reading Courses

# Course Instructor Type Information
1
Students may take only one reading course for credit in a degree program, unless special authorization has been granted by the Graduate Studies Committee.

Supervisor
2
Students may take only one reading course for credit in a degree program, unless special authorization has been granted by the Graduate Studies Committee.

Supervisor
3
Students may take only one reading course for credit in a degree program, unless special authorization has been granted by the Graduate Studies Committee.

Supervisor
4
Students may take only one reading course for credit in a degree program, unless special authorization has been granted by the Graduate Studies Committee.

Supervisor
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