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Mechanical & Industrial Engineering
**If the thesis/design project is chosen to meet the Bioengineering requirements, a “bioengineering thesis/design project” must be chosen and approved by the Director. One of either thesis or design project can count toward the course requirements for the Bioengineering Minor. °BME440H1F and BME455H1F are open to all students in the Faculty of Applied Science and Engineering, except those in Engineering Science, so long as the pre-requisites for each have been met. CHE353H1F Using a quantitative, problem solving approach, this course will introduce basic concepts in cell biology and physiology. Various engineering modelling tools will be used to investigate aspects of cell growth and metabolism, transport across cell membranes, protein structure, homeostasis, nerve conduction and mechanical forces in biology. Top MIE331H1S - 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 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 the healthy human body. BME440H1S This course has a progression of laboratory experiments that start with directed experimentation and leads to open-ended design projects. In this course, the application of a basic science concept learned in other complementary courses will be examined in detail by experimentation. The application of the basic science is evident in their use for laboratory experimentation by introducing the principles and operation of selected biomedical devices used in clinical and laboratory settings. Topics will be drawn from the following list: PCR, microscopy, cellular simulation, protein/DNA/mRNA extraction, protein assays, drug delivery, colorimetric assays of enzymatic activity, industrial and commercial enzyme applications and clinical laboratory testing (see description below for experiments). Design and problem-solving skills will be developed by a design project based on material from the course. Laboratory work will be the main focus on the course and will stress practical applications of material covered in lecture BME455H1F Quantitative approach to understanding cellular behaviour. Using engineering tools (especially derived from transport phenomena and chemical kinetics) to integrate and enhance what is known about mammalian cell behaviour at the molecular level. The course combines mathematical modeling with biology and includes numerical methods, factorial design, statistics, empirical models, mechanistic models and mass transfer. Specific topics include: receptor-ligand interactions, cell adhesion and migration, signal transduction, cell growth and differentiation. Examples from gene therapy, and cellular and tissue engineering are used. MIE343H1F 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. MIE439H1S Introduction to the application of the principles of mechanical engineering – principally solid mechanics, fluid mechanics and thermodynamics – 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. MIE448H1F 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. (Prerequisite: MIE231H1F or equivalent; MIE237H1S is recommended) MIE496H1/Y1 F/S/Y 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 course is required for fourth-year Industrial students. The grade of the "Y" 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. MIE539H1S 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). MIE561H1S 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. | ||||||||||||||||||||||||||||||||||||||||||||||||||||