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, singlephase and two-phase fluid mechanics and heat transport in nuclear reactors, and core thermomechanical design.

This course provides the fundamentals and applications for thermal and hydraulic design of heat exchangers. It covers a wide range of relevant topics including the main considerations for equipment selection and design, and different methods of analysis for sizing and rating. More specialized design considerations are also introduced. The objective is for students to become familiar with the design and specifications of industrial heat exchangers by solving practical problems using synthesis of other engineering subjects such as thermodynamics, heat transfer, and fluid mechanics.

This course introduces the theory and practical applications of lasers in science, engineering and technology. It introduces laser basics and engineering and interaction mechanisms. The course focuses on laser applications in areas such as materials processing, laser machining, fluid mechanics, combustion, coating, and surface analysis. Advanced optical diagnostics will be discussed including laser Doppler velocimetry, laser-induced fluorescence, and other similar techniques.

This course describes the thermal phenomena in Electric Vehicles (EVs), including the primary cooling/heating circuits associated with the power train, cabin, and battery. The major focus is on thermal performance and thermal management of batteries, power electronics and electric motors, and it also includes thermal issues related to cabin electronic systems. Emphasis is on Lithium-ion batteries (LIB), which are expected to continue to be the most widely used battery for EVs in the next decade. This course will cover LIB cells and their fundamentals; principles of operation; electrochemical and heat transfer formulation, modelling and simulation; thermal-related effects on LIB performance and longevity, including aging, degradation, safety, and thermal runaway; thermal modelling of EV system- and component-level, LIB, electric drivetrain, cabin, and fast charger.

Students in this course are expected to have a basic understanding of electrochemistry terminologies and undergraduate-level fundamental knowledge of fluid mechanics, thermodynamics, heat transfer, and numerical methods.

This course is a means of offering specialty courses in the field of Thermal Sciences, exploring topics that would otherwise not be made available in the core graduate curriculum. The topic of this course will change each time that the course is delivered. The primary means of delivery will be lectures, although the instructor will have the freedom to supplement course delivery as appropriate.

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, laminar boundary layers, flow kinematics, and 2D potential flows.

This is a first level course in turbulent flows following an exposure to basic undergraduate fluid mechanics. It deals with the governing equations of motion, statistical representation of the turbulent field and describes fundamental shear flows such as jets, wakes and boundary layers. Emphasis is placed on the physical aspects of the motion.

This course will present the fundamentals and applications of biosensors realized on microfluidic platforms. Topics to be covered include: Microfabrication techniques for constructing silicon, glass, and polymer devices; Microfluidic principles; Biosensing mechanisms; Design and analysis of microfluidic biosensors; Microfluidic immunosensors; Microfluidic nucleic acid sensors; Microfluidic chemical sensors; Other applications of microfluidic biosensors.

An introductory course that will teach a Finite Volume (FV) and Finite Difference (FD) approaches to Computational Fluid Dynamics (CFD) and Heat Transfer. CFD has been an important engineering research domain as it gave researchers the ability to solve analytically intractable problems of industrial relevance. In the last two decades, the immense demand for CFD research and expertise has spawned the commercialization of software packages such as Fluent/CFX and FEMlab. Despite these readily available software packages, there is a recognized importance to user expertise, fundamental knowledge, and critical understanding of their inner workings. In addition, home spun research codes are still prominent in academia and industry. This is due in large part to the fact that commercial software packages are geared toward a broad range of research topics, and may not function as efficiently as a code designed with a specific problem in mind, and to the fact that developments in CFD are typically achieved in research before they are adopted by software companies. This course is appropriate both for students who wish to become knowledgeable users of commercial CFD programs, and students who plan to create, develop, or enhance research codes. Therefore, the overreaching goals of this course are threefold: 1) To give you an introduction to fundamental discretization and solution techniques for heat transfer and fluid dynamics problems; 2) To give you an understanding of solution methodologies, advantages, downfalls, considerations (stability, accuracy, efficiency), and the inner workings of CFD software; and 3) To have you gain experience writing programs and solving 1D and 2D problems.

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.

The course is designed for students with no or little CFD knowledge who want to learn CFD application to solve engineering problems. The course will provide a general perspective to the CFD and its application to fluid flow and heat transfer and it will teach the use of a popular CFD packages and provides them with the necessary tool to use CFD in specific applications. Ansys software will be the commercial package that will be used in this course. Ansys Fluent is the most common commercial CFD code available and most of the engineering companies use this code for their research & development and product analysis.

The purpose of this course is tor provide a basic understanding of multiphase flows. In particular, the dynamics of drops and bubbles in various flow conditions will be presented. The course will introduce the important parameters involved in analyzing multiphase flows. The equation of mass, momentum, and energy for such systems will be presented. These equations will be solved for specific conditions. Also, the methodology for solving more complex multiphase flow problems will be described.

Tremendous opportunities are associated with shrinking large-scale (laboratory) processes to characteristic volumes of 10nL-100uL and translating them to continuous-flow formats. Applications of microfluidic and lab-on-a-chip technologies include assays for biomolecular detection, platforms for the perfusion culture of cells, organs and organisms, microfluidic bioprinting, and miniature chemical factories and energy conversion. The interdisciplinary course considers the different backgrounds of students and consists of a combination of lectures and project work. Projects will consist of individual and group contributions and involve the design, manufacture, testing, and live demonstration a microfluidic device. Course participants will receive hands-on experience in several current technologies for the processes for the manufacture of microfluidic devices (soft lithography, hot embossing, 3D printing).

This course is designed to provide students with a comprehensive view of the fundamental concepts of wind power projects, from inception and economic viability to implementation and operation. Students will learn an appreciation for the main components of wind power systems. In addition, this course will cover the identification and quantification of the wind resource, numerical modelling and CFD techniques applied to wind power systems, wind turbine aerodynamics, design and performance, wind turbine noise, wind farm design and economic and environmental evaluation of wind projects. A final project will be undertaken involving specific technology developments in the wind industry and its potential impact on existing facilities.

The main goal of this course is to introduce the concepts and techniques for energy management and utilization. Among the subjects to be discussed will be: energy supply and distribution, energy audits, energy efficiency in the industrial environment, mechanical and electrical applications, energy conservation, and an introduction to energy storage strategies. Practical applications include mining, manufacturing, construction (LEED, HVAC, lightning, etc.), power and process plants, oil and gas and food processing. The fundamental principles of thermodynamics, fluid mechanics and heat transfer will be used for analyzing these energy systems.

This course will teach students how to apply fundamental fluid mechanics to the study of biological systems. The course is divided into three modules, with the focus of the first two modules on the human circulatory and respiratory systems, respectively. Topics covered will include blood rheology, blood flow in the heart, arteries, veins and microcirculation, the mechanical properties of the heart as a pump; air flow in the lungs and airways, mass transfer across the walls of these systems, the fluid mechanics of the liquid-air interface of the alveoli, and artificial mechanical systems and devices for clinical aid. The third and final module will cover a range of other fluid problems in modern biology.

This course will teach students how to apply fundamental fluid mechanics to the study of biological systems. The course is divided into three modules, with the focus of the first two modules on the human circulatory and respiratory systems, respectively. Topics covered will include blood rheology, blood flow in the heart, arteries, veins and microcirculation, the mechanical properties of the heart as a pump; air flow in the lungs and airways, mass transfer across the walls of these systems, the fluid mechanics of the liquid-air interface of the alveoli, and artificial mechanical systems and devices for clinical aid. The third and final module will cover a range of other fluid problems in modern biology.

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.

This course offers graduate students an in-depth study of fracture mechanics as applied to real engineering problems. The course is divided into three main components: failure analysis using fracture mechanics concepts, diagnostics using replicas of engineering failures, and failure prevention techniques. Modes of failure, brittle fracture, linear elastic fracture mechanics (LEFM), elastoplastic fracture mechanics (EPFM) and fatigue crack initiation and growth will constitute the failure analysis component. In-laboratory examinations of typical fractures will constitute the diagnostics component. Design considerations, Surface treatment and different processing techniques for crack arrest will conclude the final component. The course is supported by numerous aerospace case studies.

Motivation/Objectives: 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 folds: 1) The course targets engineering graduate students to introduce essential topics in cell biology. 2) The course will also discuss micro/nano fabricated/engineered techniques/systems for manipulating cells, stimulating cells, and quantitatively measuring cellular activities.

Learn the basic concepts of human factors engineering. Learn the importance of considering human capabilities and limitations in the design of systems. Develop skills to apply human factors principles to the analysis, design, and evaluation of systems.

The course deals with practical problems associated with the design of experiments in Human Factors research, with an emphasis on the use of statistical packages and data analysis tools. Topics covered will include analysis of variance, non-parametric statistics, balanced and unbalanced block designs (including Latin squares), confidence intervals, etc. Stress is given to practical problems and the intuitive understanding of applied statistics.

The course covers a variety of topics in Human Factors/Ergonomics research related to the acquiring, analzsing, and modelling of human behavioural data. Topics to be covered include the following (in approximate order of presentation): Selecting Measures for Human Factors Research; Psychophysical methods of measurement: Classical psychophysical methods, Signal Detection Theory, Indirect and direct subjective scaling; Protocol Analysis, Interviewing and Questionnaires, Knowledge Elicitation; Estimating mental workload and situational awareness; Manual Control, Tracking paradigms, Modelling of human manual control performance.

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.

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.

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.

This course will cover a wide range of human factors topics related to road transportation, in particular motor vehicle safety. The course provides 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.

Frameworks, tools and methods to analyze and design support for cognitive work. The course will emphasize computer-based work in complex 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.

This course provides an introduction to the application of human factors (HF) in the analysis of healthcare systems using case studies and current events. Various healthcare models are explored with a focus on aims of healthcare systems in Canada and the U.S. Applicable HF theory, models, principles, and methods are covered. Emphasis is placed on the use of HF in prospective and retrospective system safety evaluation and integration of technology (including ML/AI) in clinical environments. Equity as a cross-cutting dimension of quality care, engagement of patients in system redesign processes, and research ethics and misconduct are also covered.

The objective of the course is to convey engineering thinking to non engineers, and specifically psychology graduate students, to support the Collaborative Specialization in Psychology and Engineering (PsychEng). The aim is for psychology students to be able to understand engineering language and common methods to be able to participate in design activities.

The course will introduce the problem-solving focus of engineering work, including the use of: engineering assumptions, models (formation, interpretation, limits), codes/standards and heuristics, problem statements, design objectives and functions, and processes for selecting design alternatives.

Considerable attention in the course is devoted to existing applications of psychology in engineering, e.g., in design theory and methodology and human factors, etc. The problem-solving perspective of engineering enables clarification of not just where psychological theories are applicable, but may also inform where such theories may require further development. For example, applying social psychological theories and models, e.g., Higgins' Regulatory Focus Theory, to solve engineering problems can be quite challenging, and may add at least a physical dimension to such models.

Projects in human factors, design methodology, and other areas of engineering that can benefit from application of psychology are offered to be completed as course projects. Finally, psychologists are also guided on how to present their work to engineering audiences.