Do not use spaces within course code values, Faculty of Applied Science and Engineering, Course in Python, differential and integral calculus, linear algebra, APS111/112 or Praxis, MIE258 or an equivalent engineering economics course Mechanical & Industrial Engineering @ U of T, Toronto, ON. Lectures are complemented by laboratory experiments on topics such as centrifugal pumps, flow transients and fluid flow in microfluidic chips. Operating system structures, concurrency, synchronization, deadlock, CPU scheduling, memory management, file systems. These interactions are described in terms of the concepts of force, work, momentum and energy. Demonstrate evidence of … Formulations of mathematical models to improve decision making; linear and integer programming; the simplex method; the revised simplex method; branch-and-bound methods; sensitivity analysis; duality; network models; network simplex method; Dijkstra's algorithm; basic graph theory; and deterministic dynamic programming. University of Toronto is part of the upcoming Canadian Graduate Engineering Consortium (CGEC) Virtual Fair happening on Wednesday October 7, from 1pm-8pm Eastern (10am-5pm Pacific). Vibration of continuous systems. This course will explore the manufacturing, engineering principles and design fundamentals for creating sustainable materials from renewable resources. Your academic history and grades are an integral part of your application to U of T Engineering. Search; ... methods, materials, and systems of industrial engineering available. Flexible manufacturing systems, justification. 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. An introduction to computer systems and software. Topics covered in this course include: structure of the atom, models of the atom, electronic configuration, the electromagnetic spectrum, band theory, atomic bonding, optical transparency of solids, magnetic properties, molecular bonding, hybridized orbitals, crystal systems, lattices and structures, crystallographic notation, imperfections in solids, reaction rates, activation energy, solid-state diffusion, materials thermodynamics, free energy, and phase equilibrium. Core Course in the Environmental Engineering Minor Basic concepts of ecology within the context of urban environments. The Department offers graduate study and research opportunities in a wide range of fields within Mechanical Engineering. These include applied mechanics, biomedical engineering, computer-aided engineering, energy studies, fluid mechanics and hydraulics, materials, manufacturing, robotics, automation and control, design, surface sciences, thermodynamics and heat transfer, plasma processing, vibration, computational fluid dynamics, microfluidics and micromechanics, environmental engineering, thermal spray coatings, finite element methods, internal combustion engines and spray-forming processes. The programs lead to MEng, MASc and PhD degrees. Evening courses are offered to accommodate participants who work full-time and are interested in pursuing an MEng. Additional information can be obtained from the Mechanical and Industrial Engineering Graduate Studies Office and www.mie.utoronto.ca/graduate. The objective of the Industrial Engineering program curriculum is to educate engineers who: In the first two years of the curriculum, the emphasis is placed on fundamental principles of engineering and core industrial engineering concepts. Tutorials on engineering drawing, sketching, and CAD/CAM in SolidWorks: views and drawing types, 2D sketching, 3D modeling and engineering drawing generation, modeling of assembly and motion analysis/animation. An equivalent full credit course is also acceptable. Design of operations research models to solve a variety of open-ended problems. Jacobians, singularities. Unlike traditional disciplines in engineering and the mathematical sciences, IE addresses the role of the human decision-maker as a key contributor to the inherent complexity of systems and the primary benefactor of the analyses. Introduction to basic mechanical parts and mechanisms: gears, cams, bearings, linkages, actuators and motors, chain and belt drives, brakes and clutches, hydraulics and pneumatics. Manage an organizational supply chain to ensure new products can be successfully introduced into global sales channels. Multivariate normal distribution. Hypothesis testing. Linear equations of order n. Equations of second order. 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. Modeling processes with simulation. Also covered will be information engineering aspects of building scheduling systems for real world problems. 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. An applied approach will be taken, where students get hands-on exposure to the covered techniques through the use of state-of-the-art machine learning software frameworks. 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 some of the popular CFD packages and provides them with the necessary tool to use CFD in specific applications. HFASt Lab featured on Engineering Dimensions January/February Issue. Statistical methods for analyzing simulation model outputs, and comparing alternative system designs. In addition, key material processing methods and testing and characterization techniques will be presented. Engineering applications of thermodynamics in the analysis and design of heat engines and other thermal energy conversion processes within an environmental framework. This course showcases the impact of analytics focusing on real world examples and case studies. This course focuses on understanding multiple perspectives for grouping, assessing, designing and implementing appropriately integrated and distributed information systems to support enterprise objectives. The laboratory will involve hands on NMR and Ultrasound measurements as well as image analysis of MRI data. Both the material properties and the capabilities of applicable fabrication processes are considered to identify the material and process which best satisfy the design requirements. New applications of AM in sectors such as automotive, aerospace, biomedical, electronic, food processing. 5.6K likes. Test the interaction features of a new software application. This course will present the fundamental basis of microelectromechanical systems (MEMS). The demonstration of engineering judgement in integrating economic, health, safety, environmental, social or other pertinent interdisciplinary factors, Elements of teamwork, project management and client interaction, and. Continuous quality improvement is a key factor leading to a company's success. It's going to be hell trying to get that kind of a minor in an industrial engineering major. 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. All students participate in an Integrated Systems Design course to design the business processes of an organization and a Capstone Design course that requires students to draw on knowledge from all years of the IE program to tackle a real-world project with an industry partner. The Department is not able to schedule all fourth year courses without conflict.  However, students are required to select courses that allow for a conflict-free timetable. 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. U of T Engineering Research Industrial Engineering (IE) is a discipline that applies engineering principles to the design and operation of organizations. Details are described in the beginning of this chapter. 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. In manufacturing and service industries alike, quality is viewed as an important strategic tool for increasing competitiveness. ; This program consists of coursework and it is not a research-oriented degree. Also, Industrial Engineering is starting to get popular recently, hence the rise in average on my graph. The third part of the course explores the application of process design to various domains. 2. Representing Uncertainty (Bayesian networks). Students registered within this program, and all other undergraduate programs within the Faculty of Applied Science and Engineering, may elect to enrol and participate in the Professional Experience Year (PEY) co-op program.  The PEY co-op program requires that qualified students undertake a paid, full-time 12-16 month continuous work period with a cooperating company.  Details are described in the beginning of this chapter.  For more information, consult the Professional Experience Year Office, 222 College Street, Suite 106 early in session 2F or 3F. Something similar is taught at MIT in the department of electrical engineering and computer science (albeit a bit more rigourous). It is designed as a final year course for engineers. Methods such as SADT, RAD and prototyping will be covered. Each seminar will be given by a professional in one of the major areas in MIE. Residual stresses, shearing stresses in beams, analysis of plane stress and plant strain problems. Outputs are the number of beds to be reserved for COVID patients according to desired coverage. The course is designed for Students with no or little Computational Fluid Dynamics (CFD) knowledge who want to learn CFD application to solve engineering problems. Fluid statics, pressure measurement, forces on surfaces. The laboratory exercises will require implementation of part of an operating system. Laboratory exercises to introduce techniques of evaluating human performance. 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, quality certification, six sigma quality, quality improvement using designed experiments and an overview of the Taguchi Methods. Boundary layers. The course will focus on NDT and NDI applications in component inspection and medical diagnostics using ultrasonics, laser photothermal radiometry, thermography and dynamic infrared imaging. Industrial Engineering students are required to complete a two-term Capstone Design project, Approval to register for the fourth-year thesis course (. Novel concepts in comparative biomechanics, biomimetic and bio-inspired material design, and materials' ecological and environmental impact will be discussed. Laminar flow. Introduction to the fundamentals of HVAC system operation and the relationship between these systems, building occupants and the building envelope. Industrial Engineering bears a close resemblance to management science, management engineering, operations research, operations management and systems engineering. Learn more about the change. U of T Engineering has the largest and most diverse robotics program in Canada, and together with a range of strategic industrial partners we are ushering in a future where robots will extend human capabilities and improve lives. In addition to basic background material, the course includes case studies of current micro/nano-systems, challenges and future trends, and potential applications. Department of Mechanical & Industrial Engineering (MIE) Division of Engineering Science (EngSci) The Edward S. Rogers Sr. Department of Electrical & Computer Engineering (ECE) University of Toronto Institute for Aerospace Studies (UTIAS) Institute of Biomaterials & Biomedical Engineering (IBBME) Research & Innovation . Topics include the representation of information, algorithms, programming languages, operating systems and software engineering. Written communication and design skills will be developed through tutorials and assignments. Geological, hydrological, biological, cosmological and oceanographic energy systems are considered in the context of the Earth as a dynamic system, including the variation of solar energy received by the planet and the redistribution of this energy through various radiative, latent and sensible heat transfer mechanisms. Topics will include: metabolic conversion of carbohydrates, proteins, and lipids; nucleic acids; enzymology; structure and function relationships within cells; and motility and growth. Recently developed methods applied at different stages of the design process include: Identification of unmet/underserved user needs through a modified definition of lead users (those who experience needs in advance of the mainstream population) including identifying/studying lead users, identifying which lead-user needs are relevant to the general population; Roles of function and affordance in successful products; Obstacles of fixation and cognitive bias to creativity; Concept generation methods including TRIZ/TIPS (Theory of Inventive Problem Solving, use of unrelated stimuli and analogy (e.g., from biology); Configuration design methods including design for transformation, design for assembly and end-of-life, e.g., reuse, repair and recycling. Introduction to probability (the role of probability, exploratory data analysis and basic graphical methods). Topics covered include: job shop scheduling, timetabling, project scheduling, and the variety of solution approaches including constraint programming, local search, heuristics, and dispatch rules. The explosive growth in the availability of lower-cost, compact and high-speed computing hardware and software is already revolutionizing the analysis, design, manufacture and operation of many mechanical engineering systems. Please consult the electives list available on the Faculty of Engineering's Registrar's Office website. With chapters around the globe, on corporate, professional, and student level, IISE is the largest worldwide non-profit organization of industrial and systems engineers. undergrad@mie.utoronto.ca. The course will integrate both business and engineering concepts seamlessly through examples, case studies and a final project. Visualization and characterization using medical imaging will be described, with core lecture material complemented by industry representative guest lectures where challenges and opportunities in the development of new medical imaging technologies for niche applications will be discussed. It will introduce students to the concept of measurement as an "inverse problem". Industrial Engineering (Specialist) OUAC Admission Code: TI (Industrial Engineering) Academic Requirements. Topics include: techniques of integration, an introduction to mathematical modeling with differential equations, infinite sequences and series, Taylor series, parametric and polar curves, vector-valued functions, partial differentiation, and application to mechanics and other engineering problems. “One of the key things Hatch is known for is bridging the … This course focuses on features of production/service systems and methods of modelling their operation; the material flow, information flow and control systems. Multigroup neutron diffusion calculations are demonstrated using fast-spectrum reactor designs. Random sampling and parameter estimation. In the laboratory, students will use a CASE-based computer program (Visible Analyst) for the analysis and design of information systems for selected organizations. This course explores both the modelling of knowledge and its management within and among organizations. This course is structured around the principle of the structure-property relationship. This course provides students with an understanding of the role of a decision support system in an organization, its components, and the theories and techniques used to construct them. 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). Ansys software will be the commercial package that will be used in this course. 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. Micro and Nano robotics is an interdisciplinary field which draws on aspects of microfabrication, robotics, medicine and materials science. The project must include:• The application of disciplinary knowledge and skills to conduct engineering analysis and design,• The demonstration of engineering judgment in integrating economic, health, safety, environmental, social or other pertinent interdisciplinary factors,• Elements of teamwork, project management and client interaction, and• A demonstration of proof of the design concept. Examples of HFI drawn from energy, healthcare, military, and software systems. 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