Courses (MEng/PhD)

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.

Offered by: Biomedical Engineering

• (3-0-6)

• Terms
  • Fall 2022
• Instructors
  • Danilo Bzdok

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.

Offered by: Biomedical Engineering

• (3-0-6)
• Prerequisites: Undergraduate basic statistics and: either BMDE 519, or Signals and Systems (e.g., ECSE 303 & ECSE 304) or equivalent

• Terms
  • Winter 2023
• Instructors
  • Ahmad Haidar, Robert E Kearney

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.

Offered by: Biomedical Engineering

• (3-0-6)
• Prerequisite: Experience with differential equations, in particular Laplace Transforms and complex numbers (e.g. MATH 263 or MATH 381 or equivalent) or permission of instructor.

• Terms
  • Fall 2022
• Instructors
  • Ross Wagner

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.

Offered by: Biomedical Engineering

• (3-0-6)
• Restriction: Graduate and final-year undergraduate students from physical, biological and medical science, and engineering

• Terms
  • Winter 2023
• Instructors
  • Maryam Tabrizian

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.

Offered by: Biomedical Engineering

• (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.

• Terms
  • Winter 2023
• Instructors
  • Satya Prakash

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.

Offered by: Biomedical Engineering

• (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.

• Terms
  • Fall 2022
• Instructors
  • David Juncker

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.

Offered by: Biomedical Engineering

• (3-0-6)
• Prerequisites: CHEM 211 or 212, MATH 222, and PHYS 230

• Terms
  • This course is not scheduled for the 2022 academic year
• Instructors
  • There are no professors associated with this course for the 2022 academic year

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.

Offered by: Biomedical Engineering

• (3-0-6)
• Prerequisite: Differential equations (MATH 271 or equivalent) or permission of instructor

• Terms
  • Fall 2022
• Instructors
  • Robert Funnell

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.

Offered by: Biomedical Engineering

• (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

• Terms
  • Fall 2022
• Instructors
  • Robert E Kearney

Biomedical Engineering: This course requires students to regularly attend the departmental seminar series and to present a seminar related to their research.

Offered by: Biomedical Engineering

• Students must register for both BMDE 600D1 and BMDE 600D2.
• No credit will be given for this course unless both BMDE 600D1 and BMDE 600D2 are successfully completed in consecutive terms
• Students must register for BMDE 600D1 before BMDE 600D2.
• Restriction(s): This course is open only to students registered in the second term or later of the M.Eng. in Biomedical Engineering (Thesis) and M.Eng. in Biomedical Engineering; (Thesis) Bioinformatics programs.
• Not open to students who have taken BMDE 500D1/D2.

• Terms
  • This course is not scheduled for the 2022 academic year
• Instructors
  • There are no professors associated with this course for the 2022 academic year

Biomedical Engineering: This course requires students to regularly attend the departmental seminar series and to present a seminar related to their research.

Offered by: Biomedical Engineering

• Students must register for both BMDE 600D1 and BMDE 600D2.
• No credit will be given for this course unless both BMDE 600D1 and BMDE 600D2 are successfully completed in consecutive terms.
• Students must register for BMDE 600D1 before BMDE 600D2.
• Restriction(s): This course is open only to students registered in the second term or later of the M.Eng. in Biomedical Engineering (Thesis) and M.Eng. in Biomedical Engineering; (Thesis) Bioinformatics programs.
• Not open to students who have taken BMDE 500D1/D2.

• Terms
  • This course is not scheduled for the 2022 academic year
• Instructors
  • There are no professors associated with this course for the 2022 academic year

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.

Offered by: Biomedical Engineering

• Prerequisites: ECSE 305, MATH 223 or equivalent

• Terms
  • Winter 2023
• Instructors
  • Christophe Grova

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.

Offered by: Biomedical Engineering

• Terms
  • Winter 2023
• Instructors
  • Louis Collins

Biomedical Engineering: Science and technology related to implants used for various orthopaedic reconstructive procedures, with emphasis on artificial hip and knee joint prostheses.

Offered by: Biomedical Engineering

• Restriction: Permission of the instructor.

• Terms
  • This course is not scheduled for the 2022 academic year
• Instructors
  • There are no professors associated with this course for the 2022 academic year

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.

Offered by: Biomedical Engineering

• Terms
  • Winter 2023
• Instructors
  • Pierre Tam Angers-Nguyen

Biomedical Engineering: Regulatory strategies and quality management systems are critical for medical device development. This course provides an overview of regulatory requirements, and familiarize students with the important ISO and IEC standards pertaining to medical device development. This course will provide biomedical engineers with an understanding of the regulatory and quality requirements to translate a medical device idea into a commercial product, and will draw upon the expertise of invited speakers currently working in the medical devices industry.

Offered by: Biomedical Engineering

• Terms
  • Fall 2022
• Instructors
  • Danny Kroo

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‐clinical 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.

Offered by: Biomedical Engineering

• Terms
  • Winter 2023
• Instructors
  • Ahmad Haidar

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.

Offered by: Medical Physics Unit

• Restriction: Open only to students registered in Medical Physics or Biological & Biomedical Engineering programs; permission of instructor for other students.

• Terms
  • Fall 2022
• Instructors
  • Ives Levesque

Biotechnology: Fundamentals of protein structure and the application of tools for structure determination, how protein structure allows us to understand the complex biological functions, and how knowledge of protein structure can contribute to drug discovery.

Offered by: Parasitology

• Winter
• 1-hr lecture, followed by 2 hrs of computer lab.
• Prerequisite: Molecular biology or biochemistry, and basic bioinformatics, or permission of instructor.

• Terms
  • Winter 2023
• Instructors
  • Reza Salavati, Traian Sulea

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.

Offered by: Plant Science

• Prerequisite: Understanding of cell and molecular biology (equivalent to a cell or molecular biology course) or permission from instructor.

• Terms
  • Winter 2023
• Instructors
  • Martina V Stromvik

Bioengineering: 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.

Offered by: Bioengineering

• Prerequisite(s): BIEN 200, CHEM 212, and BIOL 112, or permission of instructor
• (3-0-6)

• Terms
  • Fall 2022
• Instructors
  • Matt Kinsella

Bioengineering: Introduction to the field of high throughput screening (HTS) analytical techniques and devices used for genomics, proteomics and other "omics" 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.

Offered by: Bioengineering

• Prerequisite: Permission of instructor.
• (3-0-6)

• Terms
  • This course is not scheduled for the 2022 academic year
• Instructors
  • There are no professors associated with this course for the 2022 academic year

Bioengineering: 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.

Offered by: Bioengineering

• Prerequisite: Permission of instructor.
• (3-1-5)

• Terms
  • Winter 2023
• Instructors
  • Adam G Hendricks

Bioengineering: 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.

Offered by: Bioengineering

• Prerequisite: Permission of instructor.
• (3-1-5)

• Terms
  • Fall 2022
• Instructors
  • Adam G Hendricks

Bioengineering: Introduction into the motivation of analytical biosensors as well as its fundamental physicochemical challenges. Techniques used to design, fabricate and operate biosensors. Specific applications.

Offered by: Bioengineering

• Prerequisite(s): Permission of instructor.
• 1. (3-2-4)

• Terms
  • Fall 2022
• Instructors
  • Sebastian Wachsmann Hogiu, Dan V Nicolau

Bioengineering: 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.

Offered by: Bioengineering

• Prerequisite(s): Permission of instructor.
• 1. (3-2-4)

• Terms
  • Fall 2022
• Instructors
  • Allen J Ehrlicher

Bioengineering: Basic principles of cell culture engineering, cell line development and cell culture products; genomics, proteomics and post-translational modifications; elements of cell physiology for medium design and bioprocessing; bioreactor design, scale-up for animal cell culture and single use equipment; challenges in downstream processing of cell-culture derived products; process intensification: fed-batch, feeding strategies and continuous manufacturing; scale-down and process modeling; Process Analytical technologies and Quality by Design (QbD) concept.

Offered by: Bioengineering

• (3-0-6)
• Prerequisite: Permission of instructor.

• Terms
  • Fall 2022
  • Winter 2023
• Instructors
  • Ayyappasamy Sudalaiyadum Perumal, Amine A Kamen
  • Amine A Kamen

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.

Offered by: Biology

• Prerequisite(s): BIOL 373 and permission of Instructor.
• Restriction(s): Not open to students who have taken or are taking BIOL 596 and/or BIOL 597.
• This course is equivalent to taking BIOL 596 and BIOL 597.

• Terms
  • This course is not scheduled for the 2022 academic year
• Instructors
  • There are no professors associated with this course for the 2022 academic year

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.

Offered by: Chemistry

• Fall
• Restriction: U3 students

• Terms
  • Fall 2022
• Instructors
  • Audrey H Moores, Nathan Luedtke

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.

Offered by: Chemical Engineering

• (3-1-5)
• Prerequisite: CHEE 315 or permission of the instructor

• Terms
  • This course is not scheduled for the 2022 academic year
• Instructors
  • There are no professors associated with this course for the 2022 academic year

Chemical Engineering: Basic principles of circulation including vascular fluid and solid mechanics, modelling techniques, clinical and experimental methods and the design of cardiovascular devices.

Offered by: Chemical Engineering

• (3-0-6)
• Prerequisites: CHEE 314 or MECH 331 or permission of instructor.
• Restriction: Not open to students who have taken MECH 563.

• Terms
  • This course is not scheduled for the 2022 academic year
• Instructors
  • There are no professors associated with this course for the 2022 academic year

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.

Offered by: Chemical Engineering

• Restriction: Restricted to graduate students

• Terms
  • This course is not scheduled for the 2022 academic year
• Instructors
  • There are no professors associated with this course for the 2022 academic year

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.

Offered by: Chemistry

• Fall
• Prerequisite: CHEM 302 or equivalent, or permission of instructor.

• Terms
  • This course is not scheduled for the 2022 academic year
• Instructors
  • There are no professors associated with this course for the 2022 academic year

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.

Offered by: Computer Science

• 3 hours
• Restrictions: Not open to students who have taken COMP 646.

• Terms
  • Fall 2022
• Instructors
  • Michael Langer

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.

Offered by: Computer Science

• Prerequisite(s): MATH 323 or ECSE 205 or ECSE 305 or equivalent
• Restriction(s): Not open to students who have taken or are taking COMP 451.
• Some background in Artificial Intelligence is recommended, e.g. COMP-424 or ECSE-526, but not required.

• Terms
  • Fall 2022
  • Winter 2023
• Instructors
  • Yue Li
  • Reihaneh Rabbany

Computer Science (Sci): Image filtering, edge detection, image features and histograms, image segmentation, image motion and tracking, projective geometry, camera calibration, homographies, epipolar geometry and stereo, point clouds and 3D registration. Applications in computer graphics and robotics.

Offered by: Computer Science

• 3 hours
• Prerequisites: COMP 251, MATH 222, MATH 223

• Terms
  • Fall 2022
• Instructors
  • Kaleem Siddiqi

Computer Science (Sci): Application of computer science techniques to problems arising in biology and medicine, techniques for modeling evolution, aligning molecular sequences, predicting structure of a molecule and other problems from computational biology. An in-depth exploration of key research areas.

Offered by: Computer Science

• 4 hours
• Prerequisites: COMP 251, and MATH 323 or MATH 203 or BIOL 309
• Restriction: Not open to students who have taken or are taking COMP 462.
• Note: Additional work will consist of assignments and of a substantial final project that will require to put in practice the concepts covered in the course.

• Terms
  • Fall 2022
• Instructors
  • Mathieu Blanchette

Computer Science (Sci): An overview of state-of-the-art algorithms used in machine learning, including theoretical properties and practical applications of these algorithms.

Offered by: Computer Science

• Prerequisites: COMP 424, COMP 526 or ECSE 526, COMP 360, MATH 323 or ECSE 305.

• Terms
  • This course is not scheduled for the 2022 academic year
• Instructors
  • There are no professors associated with this course for the 2022 academic year

Dentistry: Advanced topics on extracellular matrix biology with emphasis on matrix molecules and their effects on cell communication, tissue structure and integrity.

Offered by: Dental Med & Oral Health Sci

• Terms
  • This course is not scheduled for the 2022 academic year
• Instructors
  • There are no professors associated with this course for the 2022 academic year

Electrical Engineering: Articulatory and acoustic descriptions of speech production, speech production models, speech perception, digital processing of speech signals, vocodors using formant, linear predictive and cepstral techniques, overview of automatic speech recognition systems, speech synthesis systems and speaker verification systems.

Offered by: Electrical & Computer Engr

• (3-0-6)
• Prerequisite: ECSE 412 or ECSE 512

• Terms
  • Winter 2023
• Instructors
  • Douglas O'Shaughnessy

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.

Offered by: Electrical & Computer Engr

• (3-0-6)
• Prerequisite: ECSE 322 or ECSE 324
• Restriction: Not open to students who have taken or are taking COMP 424.

• Terms
  • Fall 2022
• Instructors
  • Jeremy Cooperstock

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.

Offered by: Electrical & Computer Engr

• (3-0-9)
• Prerequisite: Permission of instructor.

• Terms
  • This course is not scheduled for the 2022 academic year
• Instructors
  • There are no professors associated with this course for the 2022 academic year

Electrical Engineering: An overview of statistical techniques as applied to computer vision and image processing. Topics include regularization, Kalman filtering, Markov-Chain Monte Carlo methods, importance sampling and particle filtering, Markov Random fields, parameter estimation, mean-field techniques, stochastic and deterministic annealing, principal and independent components analysis.

Offered by: Electrical & Computer Engr

• (3-0-9)
• Prerequisites: ECSE 205 and (ECSE 415 or ECSE 529), or equivalent.

• Terms
  • This course is not scheduled for the 2022 academic year
• Instructors
  • Tal Arbel

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.

Offered by: Medicine

• Terms
  • Fall 2022
• Instructors
  • Simon Rousseau, Christine T McCusker, Benjamin M Smith, Andrew Bateman, Stephane A Laporte, Carolyn J Baglole, Jörg H Fritz, Gregory J Fonseca, Jun Ding

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.

Offered by: Medicine

• Terms
  • Winter 2023
• Instructors
  • Simon Rousseau, Gregory J Fonseca

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.

Offered by: Mathematics and Statistics

• Prerequisite: MATH 324 or equivalent
• Restriction: Not open to students who have taken MATH 425

• Terms
  • Winter 2023
• Instructors
  • Archer Yi Yang

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.

Offered by: Mechanical Engineering

• (3-0-6)
• Prerequisites: MECH 309, MECH 321, (MECH 315 or MECH 419)

• Terms
  • This course is not scheduled for the 2022 academic year
• Instructors
  • There are no professors associated with this course for the 2022 academic year

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.

Offered by: Mechanical Engineering

• (3-0-6)
• Prerequisite (Undergraduate): MECH 321 and (MECH 315 or MECH 419)

• Terms
  • Winter 2023
• Instructors
  • There are no professors associated with this course for the 2022 academic year

Mechanical Engineering: Basic principles of circulation including vascular fluid and solid mechanics, modelling techniques, clinical and experimental methods and the design of cardiovascular devices.

Offered by: Mechanical Engineering

• (3-0-6)
• Prerequisites: CHEE 314 or MECH 331 or permission of instructor
• Restriction: Not open to students who have taken CHEE 563

• Terms
  • This course is not scheduled for the 2022 academic year
• Instructors
  • There are no professors associated with this course for the 2022 academic year

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.

Offered by: Mechanical Engineering

• Terms
  • Fall 2022
• Instructors
  • Mathias J Legrand

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.

Offered by: Mechanical Engineering

• Prerequisite: MECH 605 or permission of instructor

• Terms
  • Winter 2023
• Instructors
  • Timothy Lee

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.

Offered by: Neurology and Neurosurgery

• Fall
• Prerequisites: BIOL 200 and BIOL 201 or equivalent; permission of instructor

• Terms
  • Fall 2022
• Instructors
  • Edward S Ruthazer, Peter Scott McPherson, Philippe Seguela, Wayne Steven Sossin, Jean-Francois Cloutier, Adrien F Peyrache, Austen Milnerwood, PhD, Gary A Armstrong, Aparna Suvrathan, Yang Zhou, Derek Bowie, Jean-Francois Poulin, Jo Anne Stratton

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.

Offered by: Neurology and Neurosurgery

• 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 McGill University. Students from other universities, as well as undergraduate students from McGill require special permission from the Instructor.

• Terms
  • Winter 2023
• Instructors
  • David S Ragsdale, Carl P Ernst, Abbas Sadikot

Physics: An advanced biophysics course, with a special emphasis on stochastic and out of equilibrium physical processes in living matter.

Offered by: Physics

• Prerequisites: (PHYS 329 or PHYS 333 or PHYS 362 or MATH 437) and (PHYS 340 or PHYS 350), or permission of the instructor.

• Terms
  • This course is not scheduled for the 2022 academic year
• Instructors
  • There are no professors associated with this course for the 2022 academic year

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.

Offered by: Physiology

• Winter
• Prerequisites: PHGY 311, PHGY 312, and PHGY 313

• Terms
  • Winter 2023
• Instructors
  • Simon Rousseau, Alain Steve Comtois, James G Martin, Sheldon A Magder, Sabah N A Hussain, Larry Lands, Basil Petrof

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.

Offered by: Physiology

• Fall
• Prerequisite (Undergraduate): permission of instructors.

• Terms
  • Fall 2022
• Instructors
  • Thomas Ming Swi Chang, Dominique Shum-Tim, Satya Prakash, Corinne Hoesli, Guojun Chen

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.

Offered by: Physiology

• Winter
• Restriction: Permission of the instructor required.
• Restriction: Not open to students who have taken PHGY 456

• Terms
  • Winter 2023
• Instructors
  • Daniel E Guitton, Erik P Cook

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.

Offered by: Psychiatry

• Terms
  • Fall 2022
  • Winter 2023
• Instructors
  • Joseph Rochford
  • Joseph Rochford