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Program Requirements
** NEW PROGRAM **
The Biological and Biomedical Engineering (BBME) Master鈥檚 program focuses on the interdisciplinary application of methods, paradigms, technologies, and devices from engineering and the natural sciences to problems in biology, medicine, and the life sciences. With its unique multidisciplinary environment, and taking advantage of research collaborations between staff in the Faculties of Medicine, Science, and Engineering. BBME offers thesis-based graduate degrees (M.Eng.) that span broad themes in biomodelling, biosignal processing, medical imaging, nanotechnology, artificial cells and organs, probiotics, bioinformatics, bioengineering, biomaterials, and orthopaedics. BBME鈥檚 internationally renowned staff provide frequent and stimulating interactions with physicians, scientists, and the biomedical industry. Through courses and thesis research, this program will prepare students for careers in industry, academia, hospitals and government and provide a solid basis for Ph.D. studies. Candidates should hold a bachelor鈥檚 degree in engineering, science, or medicine with a strong emphasis on mathematics, physics, chemistry, and basic physiology or cell biology.
Thesis Courses (24 credits)
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BBME 693 Thesis Research 1 (6 credits)
Overview
BBME : Independent research work under the direction of the Thesis Supervisor
Terms: Fall 2017, Winter 2018, Summer 2018
Instructors: There are no professors associated with this course for the 2017-2018 academic year.
Restriction(s): Only open to students registered in M.Eng in Biological and Biomedical Engineering Master's Program (Thesis)
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BBME 694 Thesis Research 2 (6 credits)
Overview
BBME : Independent research work under the direction of the Thesis Supervisor
Terms: Fall 2017, Winter 2018, Summer 2018
Instructors: There are no professors associated with this course for the 2017-2018 academic year.
Restriction(s): Only open to students registered in M.Eng in Biological and Biomedical Engineering Master's Program (Thesis)
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BBME 695 Thesis Submission (12 credits)
Overview
BBME : Independent research work under the direction of the Thesis Supervisor.
Terms: Fall 2017, Winter 2018, Summer 2018
Instructors: There are no professors associated with this course for the 2017-2018 academic year.
Restriction(s): Only open to students registered in M.Eng in Biological and Biomedical Engineering Master's Program (Thesis)
Required Courses (3 credits)
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BBME 600D1 Seminars in Biological and Biomedical Engineering (1.5 credits)
Overview
BBME : Mandatory attendance at the seminar series at which students present a seminar related to their research
Terms: Fall 2017
Instructors: Wachsmann Hogiu, Sebastian; Tardif, Christine (Fall)
Restriction(s): Only open to students registered in the second term or later of the M.Eng. in Biological and Biomedical Engineering (Thesis). Not open to students who have taken BMDE 600D1/2.
1. Students must register for both BBME 600D1 and BBME 600D2
2. Students must register for BBME 600D1 before registering for BBME 600D2
3. No credit will be given for this course unless both BBME 600D1 and BBME 600D2 are successfully completed in consecutive terms
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BBME 600D2 Seminars in Biological and Biomedical Engineering (1.5 credits)
Overview
BBME : Mandatory attendance at the seminar series at which students present a seminar related to their research.
Terms: Winter 2018
Instructors: Wachsmann Hogiu, Sebastian; Tardif, Christine (Winter)
Restriction(s): Only open to students registered in the second term or later of the M.Eng. in Biological and Biomedical Engineering (Thesis). Not open to students who have taken BMDE 600D1/2.
1. Students must register for both BBME 600D1 and BBME 600D2
2. Students must register for BBME 600D1 before registering for BBME 600D2
3. No credit will be given for this course unless both BBME 600D1 and BBME 600D2 are successfully completed in consecutive terms
OR
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BBME 600N1 Seminars in Biological and Biomedical Engineering (1.5 credits)
Overview
BBME : Mandatory attendance at the seminar series at which students present a seminar related to their research
Terms: Winter 2018
Instructors: Wachsmann Hogiu, Sebastian; Tardif, Christine (Winter)
Students must also register for BBME 600N2
No credit will be given for this course unless both BBME 600N1 and BBME 600N2 are successfully completed in a twelve month period.
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BBME 600N2 Seminars in Biological and Biomedical Engineering (1.5 credits)
Overview
BBME : Mandatory attendance at the seminar series at which students present a seminar related to their research.
Terms: Fall 2017
Instructors: Wachsmann Hogiu, Sebastian; Tardif, Christine (Fall)
Prerequisite: BBME 600N1
No credit will be given for this course unless both BBME 600N1 and BBME 600N2 are successfully completed in a twelve month period.
Complementary Courses (18 credits)
12 credits from BMDE or BIEN courses at the 500-level or higher core courses which may also include MDPH 607, of which the following must be included:
3 credits from the following quantitative courses, or other quantitative courses (at the 500-level or higher) approved by the Graduate Program Director.
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BIEN 510 Engineered Nanomaterials for Biomedical Applications (3 credits)
Overview
BIEN : Introduction to the interdisciplinary field of biomedical uses of nanotechnology. Emphasis on emerging nanotechnologies and biomedical applications including nanomaterials, nanoengineering, nanotechnology-based drug delivery systems, nano-based imaging and diagnostic systems, nanotoxicology and immunology, and translating nanomedicine into clinical investigation.
Terms: Winter 2018
Instructors: Kinsella, Joseph (Winter)
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BIEN 520 High Throughput Bioanalytical Devices (3 credits)
Overview
BIEN : Introduction to the field of high throughput screening (HTS) analytical techniques and devices used for genomics, proteomics and other 芒鈥⑴搊mics芒鈥⑴ approaches, as well as for diagnostics, or for more special cases, e.g., screening for biomaterials. Introduction into the motivation of HTS and its fundamental physico-chemical challenges; techniques used to design, fabricate and operate HTS devices, such as microarrays and new generation DNA screening based on nanotechnology. Specific applications: DNA, protein and diagnostic and cell and tissue arrays.
Terms: This course is not scheduled for the 2017-2018 academic year.
Instructors: There are no professors associated with this course for the 2017-2018 academic year.
Prerequisite: Permission of instructor.
(3-0-6)
-
BIEN 530 Imaging and Bioanalytical Instrumentation (3 credits)
Overview
BIEN : Microscopy techniques with application to biology and medicine. Practical introduction to optics and microscopy from the standpoint of biomedical research. Discussion of recent literature; hands-on experience. Topics include: optics, contrast techniques, advanced microscopy, and image analysis.
Terms: Winter 2018
Instructors: Hendricks, Adam (Winter)
Prerequisite: Permission of instructor.
(3-1-5)
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BIEN 550 Biomolecular Devices (3 credits)
Overview
BIEN : Fundamentals of motor proteins in neuronal transport, force generation e.g. in muscles, cell motility and division. A survey of recent advances in using motor proteins to power nano fabricated devices. Principles of design and operation; hands-on-experience in building a simple device.
Terms: Fall 2017
Instructors: Hendricks, Adam (Fall)
Prerequisite: Permission of instructor.
(3-1-5)
-
BIEN 560 Biosensors (3 credits)
Overview
BIEN : Introduction into the motivation of analytical biosensors as well as its fundamental physicochemical challenges. Techniques used to design, fabricate and operate biosensors. Specific applications.
Terms: This course is not scheduled for the 2017-2018 academic year.
Instructors: There are no professors associated with this course for the 2017-2018 academic year.
Prerequisite(s): Permission of instructor.
1. (3-0-6)
-
BIEN 570 Active Mechanics in Biology (3 credits)
Overview
BIEN : Introduction to the role of active forces, e.g. cell and tissue contraction, in the mechanics of biological systems. Review of passive and actively driven viscoelastic systems and momentum transport underlying the material properties of biology. The course involves a literature survey and a team project application.
Terms: This course is not scheduled for the 2017-2018 academic year.
Instructors: There are no professors associated with this course for the 2017-2018 academic year.
Prerequisite(s): Permission of instructor.
1. (3-2-4)
-
BIEN 590 Cell Culture Engineering (3 credits)
Overview
BIEN : Basic principles of cell culture engineering, cell line development and cell culture products途 genomics, proteomics and post-translational modifications途 elements of cell physiology for medium design and bioprocessing途 bioreactor design, scale-up for animal cell culture and single use equipment途 challenges in downstream processing of cell-culture derived products途 process intensification: fed-batch, feeding strategies and continuous manufacturing途 scale-down and process modeling途 Process Analytical technologies and Quality by Design (QbD) concept.
Terms: Fall 2017
Instructors: Kamen, Amine (Fall)
(3-0-6)
Prerequisite: Permission of instructor.
-
BMDE 502 BME Modelling and Identification (3 credits)
Overview
Biomedical Engineering : Methodologies in systems or distributed multidimensional processes. System themes include parametric vs. non-parametric system representations; linear/non-linear; noise, transients and time variation; mapping from continuous to discrete models; and relevant identification approaches in continuous and discrete time formulations.
Terms: This course is not scheduled for the 2017-2018 academic year.
Instructors: There are no professors associated with this course for the 2017-2018 academic year.
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BMDE 503 Biomedical Instrumentation (3 credits)
Overview
Biomedical Engineering : The principles and practice of making biological measurements in the laboratory, including theory of linear systems, data sampling, computer interfaces and electronic circuit design.
Terms: Fall 2017
Instructors: Wagner, Ross (Fall)
-
BMDE 509 Quantitative Analysis and Modelling of Cellular Processes (3 credits)
Overview
Biomedical Engineering : Quantitative models for key intra- and inter-cellular processes. Key mathematical concepts: stochastic differential equations, Markov models, Gibbs free energy, and Fick's Law. Biological systems: neurons, networks of bacteria, and genetic regulatory systems. Emphasis on the design of quantitative experiments and data analysis.
Terms: This course is not scheduled for the 2017-2018 academic year.
Instructors: There are no professors associated with this course for the 2017-2018 academic year.
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BMDE 512 Finite-Element Modelling in Biomedical Engineering (3 credits)
Overview
Biomedical Engineering : General principles of quantitative modelling; types of models; principles of the finite-element method, primarily as applied to mechanical systems; introduction to the use of finite-element software; model generation from imaging data; modelling various material types, mainly biological; model validation.
Terms: Fall 2017
Instructors: Funnell, W Robert J (Fall)
(3-0-6)
Prerequisite: Differential equations (MATH 271 or equivalent) or permission of instructor
-
BMDE 519 Biomedical Signals and Systems (3 credits)
Overview
Biomedical Engineering : An introduction to the theoretical framework, experimental techniques and analysis procedures available for the quantitative analysis of physiological systems and signals. Lectures plus laboratory work using the Biomedical Engineering computer system. Topics include: amplitude and frequency structure of signals, filtering, sampling, correlation functions, time and frequency-domain descriptions of systems.
Terms: Fall 2017
Instructors: Kearney, Robert E (Fall)
(3-0-6)
Prerequisites: Satisfactory standing in U3 Honours Physiology; or U3 Major in Physics-Physiology; or U3 Major Physiology-Mathematics; or permission of instructor
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BMDE 610 Functional Neuroimaging Fusion (3 credits)
Overview
Biomedical Engineering : Biomedical engineering: Multimodal data fusion of electrophysiology and functional neuroimaging data, including: detailed description of source localization methods for Electro- and MagnetoEncephaloGraphy data, analysis of brain hemodynamic activity through simultaneous recordings with electrophysiology, analysis and reconstruction of Near Infra-Red Spectroscopy data, modeling of the neurovascular coupling,validation methodology.
Terms: Winter 2018
Instructors: Grova, Christophe (Winter)
6 credits from the list below or from other courses (at the 500-level or higher) which have both biomedical content and content from the physical sciences, engineering, or computer science, with the approval of the supervisor and Graduate Program Director.
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BIEN 510 Engineered Nanomaterials for Biomedical Applications (3 credits)
Overview
BIEN : Introduction to the interdisciplinary field of biomedical uses of nanotechnology. Emphasis on emerging nanotechnologies and biomedical applications including nanomaterials, nanoengineering, nanotechnology-based drug delivery systems, nano-based imaging and diagnostic systems, nanotoxicology and immunology, and translating nanomedicine into clinical investigation.
Terms: Winter 2018
Instructors: Kinsella, Joseph (Winter)
-
BIEN 520 High Throughput Bioanalytical Devices (3 credits)
Overview
BIEN : Introduction to the field of high throughput screening (HTS) analytical techniques and devices used for genomics, proteomics and other 芒鈥⑴搊mics芒鈥⑴ approaches, as well as for diagnostics, or for more special cases, e.g., screening for biomaterials. Introduction into the motivation of HTS and its fundamental physico-chemical challenges; techniques used to design, fabricate and operate HTS devices, such as microarrays and new generation DNA screening based on nanotechnology. Specific applications: DNA, protein and diagnostic and cell and tissue arrays.
Terms: This course is not scheduled for the 2017-2018 academic year.
Instructors: There are no professors associated with this course for the 2017-2018 academic year.
Prerequisite: Permission of instructor.
(3-0-6)
-
BIEN 530 Imaging and Bioanalytical Instrumentation (3 credits)
Overview
BIEN : Microscopy techniques with application to biology and medicine. Practical introduction to optics and microscopy from the standpoint of biomedical research. Discussion of recent literature; hands-on experience. Topics include: optics, contrast techniques, advanced microscopy, and image analysis.
Terms: Winter 2018
Instructors: Hendricks, Adam (Winter)
Prerequisite: Permission of instructor.
(3-1-5)
-
BIEN 550 Biomolecular Devices (3 credits)
Overview
BIEN : Fundamentals of motor proteins in neuronal transport, force generation e.g. in muscles, cell motility and division. A survey of recent advances in using motor proteins to power nano fabricated devices. Principles of design and operation; hands-on-experience in building a simple device.
Terms: Fall 2017
Instructors: Hendricks, Adam (Fall)
Prerequisite: Permission of instructor.
(3-1-5)
-
BIEN 560 Biosensors (3 credits)
Overview
BIEN : Introduction into the motivation of analytical biosensors as well as its fundamental physicochemical challenges. Techniques used to design, fabricate and operate biosensors. Specific applications.
Terms: This course is not scheduled for the 2017-2018 academic year.
Instructors: There are no professors associated with this course for the 2017-2018 academic year.
Prerequisite(s): Permission of instructor.
1. (3-0-6)
-
BIEN 570 Active Mechanics in Biology (3 credits)
Overview
BIEN : Introduction to the role of active forces, e.g. cell and tissue contraction, in the mechanics of biological systems. Review of passive and actively driven viscoelastic systems and momentum transport underlying the material properties of biology. The course involves a literature survey and a team project application.
Terms: This course is not scheduled for the 2017-2018 academic year.
Instructors: There are no professors associated with this course for the 2017-2018 academic year.
Prerequisite(s): Permission of instructor.
1. (3-2-4)
-
BIEN 590 Cell Culture Engineering (3 credits)
Overview
BIEN : Basic principles of cell culture engineering, cell line development and cell culture products途 genomics, proteomics and post-translational modifications途 elements of cell physiology for medium design and bioprocessing途 bioreactor design, scale-up for animal cell culture and single use equipment途 challenges in downstream processing of cell-culture derived products途 process intensification: fed-batch, feeding strategies and continuous manufacturing途 scale-down and process modeling途 Process Analytical technologies and Quality by Design (QbD) concept.
Terms: Fall 2017
Instructors: Kamen, Amine (Fall)
(3-0-6)
Prerequisite: Permission of instructor.
-
BINF 511 Bioinformatics for Genomics (3 credits)
Overview
Bioinformatics : Bioinformatics methods and reasoning in relation to genomics, proteomics and metabolomics strategies with an emphasis on functional genomics data. The course will cover introduction to UNIX, Perl programming, data processing and integration, file parsing, relational database design and implementation, angled towards solutions relevant for genomics.
Terms: Winter 2018
Instructors: Stromvik, Martina (Winter)
Prerequisite: Understanding of cell and molecular biology (equivalent to a cell or molecular biology course) or permission from instructor.
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BIOL 598 Advanced Design and Statistics (3 credits)
Overview
Biology (Sci) : This course will address issues related to experimental design and multivariate statistical analysis. The first third of the course will focus on experimental design, and the remainder of the course will focus on multivariate approaches to data analysis. The course is designed to inform students on best practices to analytically address their experimental questions.
Terms: This course is not scheduled for the 2017-2018 academic year.
Instructors: There are no professors associated with this course for the 2017-2018 academic year.
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BIOT 505 Selected Topics in Biotechnology (3 credits)
Overview
Biotechnology : Current methods and recent advances in biological, medical, agricultural and engineering aspects of biotechnology will be described and discussed. An extensive reading list will complement the lecture material.
Terms: Fall 2017
Instructors: Geary, Timothy; Chitramuthu, Babykumari; Chang, Thomas Ming Swi; Whyte, Lyle; Smith, Donald L; Whiteway, Malcolm; Tremblay, Michel; Kambhampati, Patanjali; Hancock, Mark; Kinsella, Joseph (Fall)
Fall
Restriction: U3 students
-
BMDE 501 Selected Topics in Biomedical Engineering (3 credits)
Overview
Biomedical Engineering : An overview of how techniques from engineering and the physical sciences are applied to the study of selected physiological systems and biological signals. Using specific biological examples, systems will be studied using: signal or finite-element analysis, system and identification, modelling and simulation, computer control of experiments and data acquisition.
Terms: Fall 2017
Instructors: Funnell, W Robert J (Fall)
(3-0-6)
-
BMDE 502 BME Modelling and Identification (3 credits)
Overview
Biomedical Engineering : Methodologies in systems or distributed multidimensional processes. System themes include parametric vs. non-parametric system representations; linear/non-linear; noise, transients and time variation; mapping from continuous to discrete models; and relevant identification approaches in continuous and discrete time formulations.
Terms: This course is not scheduled for the 2017-2018 academic year.
Instructors: There are no professors associated with this course for the 2017-2018 academic year.
-
BMDE 503 Biomedical Instrumentation (3 credits)
Overview
Biomedical Engineering : The principles and practice of making biological measurements in the laboratory, including theory of linear systems, data sampling, computer interfaces and electronic circuit design.
Terms: Fall 2017
Instructors: Wagner, Ross (Fall)
-
BMDE 504 Biomaterials and Bioperformance (3 credits)
Overview
Biomedical Engineering : Biological and synthetic biomaterials, medical devices, and the issues related to their bioperformance. The physicochemical characteristics of biomaterials in relation to their biocompatibility and sterilization.
Terms: Winter 2018
Instructors: Tabrizian, Maryam (Winter)
(3-0-6)
Restriction: Graduate and final-year undergraduate students from physical, biological and medical science, and engineering
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BMDE 505 Cell and Tissue Engineering (3 credits)
Overview
Biomedical Engineering : Application of the principles of engineering, physical, and biological sciences to modify and create cells and tissues for therapeutic applications will be discussed, as well as the industrial perspective and related ethical issues.
Terms: Winter 2018
Instructors: Prakash, Satya (Winter)
(3-0-6)
1.5 hours lecture/1.5 hours seminar per week
Restriction: graduate and final year undergraduate students from physical, biological, and medical science, and engineering.
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BMDE 506 Molecular Biology Techniques (3 credits)
Overview
Biomedical Engineering : Introduction to major techniques of molecular biology for physical scientists.
Terms: This course is not scheduled for the 2017-2018 academic year.
Instructors: There are no professors associated with this course for the 2017-2018 academic year.
(1-5-3)
Prerequisites: MATH 222, BIOL 200 or BIOL 201, CHEM 212 or CHEM 213 or PHYS 253
Restrictions: Limited to 18 students. Calculus required, physics or physical chemistry (thermodynamics, statistical mechanics) preferred. Primarily for graduate students or advanced undergraduate students in the physical sciences who are interested in learning molecular biology techniques. Preference given to graduate students in Biomedical Engineering and Physics. Students who have completed BIOC 300 or MIMM 366 are not eligible.
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BMDE 508 Introduction to Micro and Nano-Bioengineering (3 credits)
Overview
Biomedical Engineering : The micro and nanotechnologies that drive and support the miniaturization and parallelization of techniques for life sciences research, including different inventions, designs and engineering approaches that lead to new tools and methods for the life sciences - while transforming them - and help advance our knowledge of life.
Terms: Fall 2017
Instructors: Juncker, David (Fall)
(3-0-6)
Prerequisite: Permission of instructor
This course is intended for graduate and advanced undergraduate students having a biological/medical background or an engineering, physical sciences background. Engineering students enrolled in the Minor in Biomedical Engineering, or Honours in Electrical Engineering and Honours in Mechanical Engineering, should be particularly interested.
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BMDE 509 Quantitative Analysis and Modelling of Cellular Processes (3 credits)
Overview
Biomedical Engineering : Quantitative models for key intra- and inter-cellular processes. Key mathematical concepts: stochastic differential equations, Markov models, Gibbs free energy, and Fick's Law. Biological systems: neurons, networks of bacteria, and genetic regulatory systems. Emphasis on the design of quantitative experiments and data analysis.
Terms: This course is not scheduled for the 2017-2018 academic year.
Instructors: There are no professors associated with this course for the 2017-2018 academic year.
-
BMDE 510 Topics in Astrobiology (3 credits)
Overview
Biomedical Engineering : Introduction to astrobiology, defined as the scientific study of the origin, evolution, distribution and destiny of life in the universe. Includes interdisciplinary lectures in prebiotic chemistry, extremophilic microorganisms, analog sites, habitability, astrodynamics, experimental facilities and instrumentation for space experiments and missions, and recent results from orbital and lander missions.
Terms: This course is not scheduled for the 2017-2018 academic year.
Instructors: There are no professors associated with this course for the 2017-2018 academic year.
-
BMDE 512 Finite-Element Modelling in Biomedical Engineering (3 credits)
Overview
Biomedical Engineering : General principles of quantitative modelling; types of models; principles of the finite-element method, primarily as applied to mechanical systems; introduction to the use of finite-element software; model generation from imaging data; modelling various material types, mainly biological; model validation.
Terms: Fall 2017
Instructors: Funnell, W Robert J (Fall)
(3-0-6)
Prerequisite: Differential equations (MATH 271 or equivalent) or permission of instructor
-
BMDE 519 Biomedical Signals and Systems (3 credits)
Overview
Biomedical Engineering : An introduction to the theoretical framework, experimental techniques and analysis procedures available for the quantitative analysis of physiological systems and signals. Lectures plus laboratory work using the Biomedical Engineering computer system. Topics include: amplitude and frequency structure of signals, filtering, sampling, correlation functions, time and frequency-domain descriptions of systems.
Terms: Fall 2017
Instructors: Kearney, Robert E (Fall)
(3-0-6)
Prerequisites: Satisfactory standing in U3 Honours Physiology; or U3 Major in Physics-Physiology; or U3 Major Physiology-Mathematics; or permission of instructor
-
BMDE 610 Functional Neuroimaging Fusion (3 credits)
Overview
Biomedical Engineering : Biomedical engineering: Multimodal data fusion of electrophysiology and functional neuroimaging data, including: detailed description of source localization methods for Electro- and MagnetoEncephaloGraphy data, analysis of brain hemodynamic activity through simultaneous recordings with electrophysiology, analysis and reconstruction of Near Infra-Red Spectroscopy data, modeling of the neurovascular coupling,validation methodology.
Terms: Winter 2018
Instructors: Grova, Christophe (Winter)
-
BMDE 625D1 Design of Assistive Technologies: Principles and Praxis (3 credits)
Overview
Biomedical Engineering : This is an interdisciplinary, project-based course, centred around a design project in which small teams of students work closely with a person with a disability in the Montreal area to design a device, piece of equipment, app, or other solution that reduces their experience of disability.
Terms: Fall 2017
Instructors: Blain-Moraes, Stefanie; Wagner, Ross (Fall)
Restriction(s): Not open to students in Physical and Occupational Therapy.
Students must also register for BMDE 625D2
No credit will be given for this course unless both BMDE 625D1 and BMDE 625D2 are successfully completed in consecutive terms
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BMDE 625D2 Design of Assistive Technologies: Principles and Praxis (3 credits)
Overview
Biomedical Engineering : This is an interdisciplinary, project-based course, centred around a design project in which small teams of students work closely with a person with a disability in the Montreal area to design a device, piece of equipment, app, or other solution that reduces their experience of disability.
Terms: Winter 2018
Instructors: Blain-Moraes, Stefanie; Wagner, Ross (Winter)
Restriction(s): Not open to students in Physical and Occupational Therapy.
No credit will be given for this course unless both BMDE 625D1 and BMDE 625D2 are successfully completed in consecutive terms
Prerequisite(s): BMDE 625D1
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BMDE 650 Advanced Medical Imaging (3 credits)
Overview
Biomedical Engineering : Review of advanced techniques in medical imaging including: fast magnetic resonance imaging (MRI), functional MRI, MR angiography and quantitative flow measurement, spiral and dynamic x-ray computed tomography, 2D/3D positron emission tomography (PET), basic PET physiology, tracer kinetics, surgical planning and guidance, functional and anatomical brain mapping, 2D and 3D ultrasound imaging, and medical image processing.
Terms: Winter 2018
Instructors: Collins, Louis (Winter)
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BMDE 651 Orthopaedic Engineering (3 credits)
Overview
Biomedical Engineering : Science and technology related to implants used for various orthopaedic reconstructive procedures, with emphasis on artificial hip and knee joint prostheses.
Terms: This course is not scheduled for the 2017-2018 academic year.
Instructors: There are no professors associated with this course for the 2017-2018 academic year.
Restriction: Permission of the instructor.
-
BMDE 652 Bioinformatics: Proteomics (3 credits)
Overview
Biomedical Engineering : Overview of high-throughput proteomic technologies commonly employed to study the localization and function of all proteins in an organism, and the bioinformatic approaches to analyze raw data and deposit them in proteome databases.
Terms: This course is not scheduled for the 2017-2018 academic year.
Instructors: There are no professors associated with this course for the 2017-2018 academic year.
Prerequisite: Enrolment in Bioinformatics option program or permission by coordinators.
Note: The course is inter-disciplinary and is targeted to students with different scientific backgrounds. A substantial portion of marks will be given based on practical assignments.
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BMDE 653 Patents in Biomedical Engineering (3 credits)
Overview
Biomedical Engineering : This is a practical course on patents with emphasis on biomedical engineering applications. The course offers an overview of intellectual property, patents, and the patenting process. The course also provides insights into the strategies relating to commercialization and exploiting of patents, as well as enforcing patents. This course is designed to help biomedical engineers who will encounter patents in their work and needs to understand the nature and the scope of the patent system, how patents are obtained, and how to commercially exploit a patent.
Terms: Winter 2018
Instructors: Angers-Nguyen, Pierre Tam (Winter)
-
BMDE 655 Biomedical Clinical Trials - Medical Devices (3 credits)
Overview
Biomedical Engineering : This course will train biomedical engineers to understand the clinical and business aspects of transferring a medical device idea into a commercial product. This course provides an overview of the pre鈥恈linical and clinical testing of medical devices, clinical trials, reimbursement systems, market analysis, sales models, and business models, as pertaining to medical devices. This course will also cover the design of randomized trials, including statistical principles, hypothesis postulating, bias minimization, and randomization methods.
Terms: Winter 2018
Instructors: Haidar, Ahmad (Winter)
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CHEE 561 Introduction to Soft Tissue Biophysics (3 credits)
Overview
Chemical Engineering : Soft tissue structure and function: tissue, cell, and molecular scales. Interstitial solute transport, modeling effective transport properties (diffusivity, partitioning). Poroelastic mechanics, modeling of mechanical properties (modulus, permeability). The electrical double layer, electrostatic component of modulus, modeling electrokinetic phenomena (streaming potential, electroosmosis). Applications: biomechanics, mechanobiology, tissue engineering, functional assessment, biomedical entrepreneurship.
Terms: This course is not scheduled for the 2017-2018 academic year.
Instructors: There are no professors associated with this course for the 2017-2018 academic year.
(3-1-5)
Prerequisite: CHEE 315 or permission of the instructor
-
CHEE 563 Biofluids and Cardiovascular Mechanics (3 credits)
Overview
Chemical Engineering : Basic principles of circulation including vascular fluid and solid mechanics, modelling techniques, clinical and experimental methods and the design of cardiovascular devices.
Terms: This course is not scheduled for the 2017-2018 academic year.
Instructors: There are no professors associated with this course for the 2017-2018 academic year.
-
CHEE 651 Advanced Biochemical Engineering (4 credits)
Overview
Chemical Engineering : The use of chemical engineering and biological principles in the study, design, use and creation of biologically-based processes and products. Topics: biochemical thermodynamics, protein engineering, manipulation of gene expression, transport phenomena and bioreactor design.
Terms: Winter 2018
Instructors: Hoesli, Corinne (Winter)
Restriction: Restricted to graduate students
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CHEM 571 Polymer Synthesis (3 credits)
Overview
Chemistry : A survey of polymer preparation and characterization; mechanisms of chain growth, including free radical, cationic, anionic, condensation and transition metal-mediated polymerization, and the effects of these mechanisms on polymer architecture; preparation of alternating, block, graft and stereoblock copolymers; novel macromolecular structures including dendrimers and other nanostructures.
Terms: Winter 2018
Instructors: Kakkar, Ashok K (Winter)
Fall
Prerequisite: CHEM 302 or equivalent, or permission of instructor.
-
COMP 526 Probabilistic Reasoning and AI (3 credits)
Overview
Computer Science (Sci) : Belief networks, Utility theory, Markov Decision Processes and Learning Algorithms.
Terms: This course is not scheduled for the 2017-2018 academic year.
Instructors: There are no professors associated with this course for the 2017-2018 academic year.
-
COMP 546 Computational Perception (4 credits)
Overview
Computer Science (Sci) : Computational models of visual perception and audition. Vision problems include stereopsis, motion, focus, perspective, color. Audition problems include source localization and recognition. Emphasis on physics of image formation, sensory signal processing, neural pathways and computation, psychophysical methods.
Terms: Winter 2018
Instructors: Langer, Michael (Winter)
3 hours
Restrictions: Not open to students who have taken COMP 646.
-
COMP 551 Applied Machine Learning (4 credits)
Overview
Computer Science (Sci) : Selected topics in machine learning and data mining, including clustering, neural networks, support vector machines, decision trees. Methods include feature selection and dimensionality reduction, error estimation and empirical validation, algorithm design and parallelization, and handling of large data sets. Emphasis on good methods and practices for deployment of real systems.
Terms: Fall 2017, Winter 2018
Instructors: Pineau, Joelle (Fall) Chandar, Sarath; Lowe, Ryan; Van Hoof, Herke (Winter)
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COMP 558 Fundamentals of Computer Vision (3 credits)
Overview
Computer Science (Sci) : Biological vision, edge detection, projective geometry and camera modelling, shape from shading and texture, stereo vision, optical flow, motion analysis, object representation, object recognition, graph theoretic methods, high level vision, applications.
Terms: Fall 2017
Instructors: Siddiqi, Kaleem (Fall)
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COMP 652 Machine Learning (4 credits)
Overview
Computer Science (Sci) : An overview of state-of-the-art algorithms used in machine learning, including theoretical properties and practical applications of these algorithms.
Terms: Fall 2017
Instructors: Rabusseau, Guillaume; Islam, Riashat (Fall)
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COMP 761 Advanced Topics Theory 2 (4 credits)
Overview
Computer Science (Sci) : Advanced topics in theory related to computer science.
Terms: This course is not scheduled for the 2017-2018 academic year.
Instructors: There are no professors associated with this course for the 2017-2018 academic year.
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DENT 669 Extracellular Matrix Biology (3 credits)
Overview
Dentistry : Advanced topics on extracellular matrix biology with emphasis on matrix molecules and their effects on cell communication, tissue structure and integrity.
Terms: Fall 2017
Instructors: Kaartinen, Mari Tuulia; Reinhardt, Dieter (Fall)
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ECSE 526 Artificial Intelligence (3 credits)
Overview
Electrical Engineering : Design principles of autonomous agents, agent architectures, machine learning, neural networks, genetic algorithms, and multi-agent collaboration. The course includes a term project that consists of designing and implementing software agents that collaborate and compete in a simulated environment.
Terms: Fall 2017
Instructors: Cooperstock, Jeremy (Fall)
(3-0-6)
Prerequisite: ECSE 322
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ECSE 618 Haptics (4 credits)
Overview
Electrical Engineering : Study of touch as relevant to technological systems. Applications. Elements of anatomy, neuroanatomy, physiology, and behaviour. Technology of tactile transducers. Computational synthesis of tactile signals: Elements of contact mechanics, deformation theory and inelasticity, and computational methods to simulate those for realtime synthesis.
Terms: This course is not scheduled for the 2017-2018 academic year.
Instructors: There are no professors associated with this course for the 2017-2018 academic year.
(3-0-9)
Prerequisite: Permission of instructor.
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ECSE 681 Colloquium in Electrical Engineering (4 credits) *
Overview
Electrical Engineering : Directed reading, seminar and discussion course in various subjects of current interest in electrical engineering research.
Terms: Winter 2018
Instructors: Varro, Daniel (Winter)
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EPIB 521 Regression Analysis for Health Sciences (3 credits)
Overview
Epidemiology & Biostatistics : The aim of this course is to provide students with basic principles of regression analyses applicable to the health sciences so that they can understand and use appropriate statistical regression techniques for continuous and discrete data. The course will cover: Linear regression: Regression for two or more explanatory variables, Polynomial regression, Dummy variables, Inference for regression parameters, Confounding and collinearity, Effect modification, Model-checking, Model selection, Prediction. Logistic and Poisson regression: Logistic regression for one or more variables, Interpreting odds ratios, Inference for logistic and Poisson regression parameters, Confounding and interactions in logistic regression, Model selection, Prediction. A very brief overview of survival analysis.
Terms: Winter 2018
Instructors: McGregor, Kevin (Winter)
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EXMD 609 Cellular Methods in Medical Research (3 credits)
Overview
Experimental Medicine : Different cellular methods used in biomedical research, including spectroscopic, microscopic and immunological techniques as well as statistics. Lectures, some demonstrations by faculty as well as short seminars given by the students.
Terms: Fall 2017
Instructors: Powell, William S; Rousseau, Simon (Fall)
Restrictions: Students must have at least a Bachelor's degree. Not open to students who have taken EXMD 610 prior to 201201.
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EXMD 610 Molecular Methods in Medical Research (3 credits)
Overview
Experimental Medicine : Different molecular methods used in biomedical research, including chromatography, purification and analysis of proteins and nucleic acids, various techniques in molecular biology, transgenic technology, and stem cells. Lectures, some demonstrations, and short seminars given by the students.
Terms: Winter 2018
Instructors: Powell, William S; Rousseau, Simon (Winter)
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FACC 510 Selected Topics in the Faculty of Engineering 1 (3 credits)
Overview
Faculty Course : Special topics related to interdisciplinary areas in engineering, architecture, and/or urban planning.
Terms: Fall 2017, Winter 2018
Instructors: Bergthorson, Jeffrey (Fall) Boulay, Anne-Marie (Winter)
Prerequisite(s): Permission of instructor.
Restriction(s): Restricted to graduate students and undergraduate students in their final year.
Contact hours variable.
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MATH 525 Sampling Theory and Applications (4 credits)
Overview
Mathematics & Statistics (Sci) : Simple random sampling, domains, ratio and regression estimators, superpopulation models, stratified sampling, optimal stratification, cluster sampling, sampling with unequal probabilities, multistage sampling, complex surveys, nonresponse.
Terms: This course is not scheduled for the 2017-2018 academic year.
Instructors: There are no professors associated with this course for the 2017-2018 academic year.
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MDPH 607 Medical Imaging (3 credits)
Overview
Medical Physics : This course is concerned with the principles of medical imaging as applied to conventional diagnostic radiography, X-ray computed tomography (CT), positron emission tomography (PET), and magnetic resonance imaging (MRI). The course emphasizes a linear system approach to the formation, processing, and display of medical images.
Terms: Fall 2017
Instructors: Levesque, Ives (Fall)
Prerequisite: MDPH 615
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MDPH 612 Instrumentation and Computation in Medical Physics (3 credits)
Overview
Medical Physics : A course on electronics, computer programming, and instrumentation as applied to medical physics. A basic knowledge of electronics and computers is assumed, but the detailed course contents may vary from year to year, depending on the background of the students.
Terms: Winter 2018
Instructors: Patrocinio, Horacio J; Deblois, Francois; Kildea, John (Winter)
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MECH 500 Selected Topics in Mechanical Engineering (3 credits) *
Overview
Mechanical Engineering : A course to allow the introduction of new topics in Mechanical Engineering as needs arise, by regular and visiting staff.
Terms: Winter 2018
Instructors: Zhao, Yaoyao (Winter)
(3-0-6)
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MECH 548 Cellular Materials in Natural and Engineering Structures (3 credits)
Overview
Mechanical Engineering : Overview of hierarchical solids exhibiting cellular structure. Cell size, shape and topology of bending and stretching dominated materials, including periodic microtruss lattice, plant cellular tissue and trabecular bone. Theories for modelling the mechanics and the physical properties; design and optimization of multifunctional cellular solids for ultralight aerospace and biomedical applications.
Terms: Winter 2018
Instructors: Pasini, Damiano (Winter)
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MECH 553 Design and Manufacture of Microdevices (3 credits)
Overview
Mechanical Engineering : Introduction to microelectromechanical systems (MEMS). Micromachining techniques (thin-film deposition; lithography; etching; bonding). Microscale mechanical behaviour (deformation and fracture; residual stresses; adhesion; experimental techniques). Materials- and process-selection. Process integration. Design of microdevice components to meet specified performance and reliability targets using realistic manufacturing processes.
Terms: Fall 2017
Instructors: Vengallatore, Srikar (Fall)
(3-0-6)
Prerequisite: Instructor's permission.
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MECH 561 Biomechanics of Musculoskeletal Systems (3 credits)
Overview
Mechanical Engineering : The musculoskeletal system; general characteristics and classification of tissues and joints. Biomechanics and clinical problems in orthopaedics. Modelling and force analysis of musculoskeletal systems. Passive and active kinematics. Load-deformation properties of passive connective tissue, passive and stimulated muscle response. Experimental approaches, case studies.
Terms: Winter 2018
Instructors: Driscoll, Mark (Winter)
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MECH 562 Advanced Fluid Mechanics (3 credits)
Overview
Mechanical Engineering : Conservation laws, control volume analysis, Navier stokes equations, dimensional analysis and limiting forms of N-S equation, laminar viscous flows, boundary layer theory, inviscid potential flows, lift and drag, introduction to turbulence.
Terms: Winter 2018
Instructors: Najafiyazdi, Mostafa (Winter)
(3-0-6)
Prerequisite: MATH 271 or permission of instructor.
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MECH 563 Biofluids and Cardiovascular Mechanics (3 credits)
Overview
Mechanical Engineering : Basic principles of circulation including vascular fluid and solid mechanics, modelling techniques, clinical and experimental methods and the design of cardiovascular devices.
Terms: Winter 2018
Instructors: Mongrain, Rosaire (Winter)
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MECH 605 Applied Mathematics 1 (4 credits)
Overview
Mechanical Engineering : Tensor Analysis, Gauss and Stokes Theorems, Complex Functions, Laplace and Fourier transforms, Linear Algebra, Initial and Boundary Value Problems for ODE's, Partial Differential Equations including elliptic, parabolic and hyperbolic, Sturm-Liouville theory, Eigenvalue problems, Galerkin Method, Green's Functions and transform methods.
Terms: Fall 2017
Instructors: Legrand, Mathias (Fall)
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MECH 610 Fundamentals of Fluid Dynamics (4 credits)
Overview
Mechanical Engineering : Conservation laws control volume analysis, Navier Stokes Equations and some exact solutions, dimensional analysis and limiting forms of Navier Stokes Equations. Vorticity, Potential flow and lift, boundary layer theory, drag, turbulence.
Terms: Winter 2018
Instructors: Najafiyazdi, Mostafa (Winter)
Prerequisite: MECH 605 or permission of instructor
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MECH 632 Advanced Mechanics of Materials (4 credits)
Overview
Mechanical Engineering : Review of stress, strain, equilibrium and boundary conditions. Constitutive equations for linear and non-linear elasticity; viscoelasticity; rubber elasticity. Implementation of nonlinear constitutive relations for mechanical engineering applications. Material selection charts and overview of the major classes of materials (metals, polymers, ceramics, cellular materials, composites and biomaterials). Microscale mechanisms and their relation to macroscopic performance. Plasticity in metals: deformation maps, micromechanics, failure criteria, post-yield flow, creep and temperature effects. Structure and properties of polymers, models for plasticity and crazing. Fracture and fatigue, Weibull statistics for ceramics and glasses. Selected advanced topics and discussion of modern materials.
Terms: Fall 2017
Instructors: Barthelat, Francois (Fall)
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NEUR 603 Computational Neuroscience (3 credits)
Overview
Neurology and Neurosurgery : A survey of computational methods commonly used to model brain function, including mathematical modeling to describe the relationship between neuronal activity and perception, action, and cognition. Mathematical basis for vision, motor control and attention. Data relevant to brain processes and models explaining these data, using engineering, statistics and artificial intelligence.
Terms: Winter 2018
Instructors: Pack, Christopher; Baker, Curtis L; Misic, Bratislav; Cook, Erik; Chacron, Maurice; Peyrache, Adrien (Winter)
Winter
Basic neuroanatomy/neurophysiology, some mathematics (calculus, probability/statistics) or consent of instructor.
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NEUR 630 Principles of Neuroscience 1 (3 credits)
Overview
Neurology and Neurosurgery : An overview of cellular and molecular neuroscience at the graduate level. Topics include: synthesis, processing and intracellular transport of macromolecules; development of the nervous system including neurogenesis, axonal pathfinding, synaptogenesis and myelination; neuronal survival and response to injury; generation and propagation of action potentials; neurotransmitters and synaptic transmission.
Terms: Fall 2017
Instructors: Fournier, Alyson Elise; McPherson, Peter Scott; Sharif Naeini, Reza; Seguela, Philippe; Sossin, Wayne Steven; Cloutier, Jean-Francois; Murai, Keith; Ruthazer, Edward; Peyrache, Adrien; Milnerwood, Austen (Fall)
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NEUR 631 Principles of Neuroscience 2 (3 credits)
Overview
Neurology and Neurosurgery : An overview of the structure, function and interaction of neuronal systems of vertebrates. Topics include basic neuroanatomy, coding and processing of sensory information (somatic sensory, visual and auditory systems), control of posture and voluntary movement, learning and memory, processing of language and speech, cerebral blood flow, the neuroendocrine system and neuroimmunology.
Terms: Winter 2018
Instructors: Ragsdale, David S; Ernst, Carl; Rochford, Joseph; Sadikot, Abbas (Winter)
Winter
Prerequisite: A knowledge of basic mechanisms of biology, physiology, and anatomy as covered by respective undergraduate classes is expected and necessary to succeed in this course.
Restriction: Students must be enrolled in a graduate program at 平特五不中. Students from other universities, as well as undergraduate students from 平特五不中 require special permission from the Instructor.
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PHGY 502 Exercise Physiology (3 credits)
Overview
Physiology : Behaviour of physiological processes in response to physical effort, in areas such as structural basis of muscle contraction, thermoregulation during exercise, mechanics and energetics of muscle contraction, fuel utilization, fatigue, physiological adjustments during exercise and influence of training.
Terms: Winter 2018
Instructors: Rousseau, Simon; Comtois, Alain Steve; Martin, James G; Magder, Sheldon A; Hussain, Sabah N A; Lands, Larry; Petrof, Basil; Hepple, Russell (Winter)
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PHGY 517 Artificial Internal Organs (3 credits)
Overview
Physiology : Physiological, bioengineering, chemical and clinical aspects of artificial organs including basic principles and physiopathology of organ failure. Examples: oxygenator, cardiac support, vascular substitutes, cardiac pacemaker, biomaterials and tissue engineering, biocompatibility.
Terms: This course is not scheduled for the 2017-2018 academic year.
Instructors: There are no professors associated with this course for the 2017-2018 academic year.
Winter
Prerequisite (Undergraduate): permission of instructors.
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PHGY 518 Artificial Cells (3 credits)
Overview
Physiology : Physiology, biotechnology, chemistry and biomedical application of artificial cells, blood substitutes, immobilized enzymes, microorganisms and cells, hemoperfusion, artificial kidneys, and drug delivery systems. PHGY 517 and PHGY 518 when taken together, will give a complete picture of this field. However, the student can select one of these.
Terms: Fall 2017
Instructors: Chang, Thomas Ming Swi; Barre, Paul E; Shum-Tim, Dominique; Prakash, Satya; Hoesli, Corinne (Fall)
Fall
Prerequisite (Undergraduate): permission of instructors.
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PHGY 556 Topics in Systems Neuroscience (3 credits)
Overview
Physiology : Topics of current interest in systems neurophysiology and behavioural neuroscience including: the neural representation of sensory information and motor behaviours, models of sensory motor integration, and the computational analysis of problems in motor control and perception. Students will be expected to present and critically discuss journal articles in class.
Terms: Winter 2018
Instructors: Guitton, Daniel E; Cook, Erik (Winter)
Winter
Restriction: Permission of the instructor required.
Restriction: Not open to students who have taken PHGY 456
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PHYS 519 Advanced Biophysics (3 credits)
Overview
Physics : An advanced biophysics course, with a special emphasis on stochastic and out of equilibrium physical processes in living matter.
Terms: Winter 2018
Instructors: Francois, Paul (Winter)
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PSYT 630 Statistics for Neurosciences (3 credits)
Overview
Psychiatry : Statistics needed for analysing the types of data generated in a laboratory setting, with emphasis on the neurosciences, will be covered. Hypothesis testing, parametric and non-parametric statistics will be studied with a practical approach, using data generated by the students. Computer analysis will be introduced.
Terms: Fall 2017, Winter 2018
Instructors: Rochford, Joseph (Fall) Rochford, Joseph (Winter)
* When topic is appropriate.