Bioengineering: Systematic design methodologies and support concepts: clinical user need identification, brainstorming and conceptualization, system and robust design and development practices, verification and validation testing and failure modes analysis, regulatory affairs, for medical devices and technologies. Concepts and framework of ideation and conceptualization through to device output for sale as realized and defined by the medical device technology industry. Focus on corporate and technological phase structuring for systematic product design and medical business creation aspects. Real-world examples, artifacts from industry, recent articles, and presentations.

Offered by: Bioengineering

• Prerequisites: Permission of the instructor.
• Restrictions: Open to U3 or higher students.

• Terms
  • Winter 2025
• Instructors
  • Stuart Kozlick

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 2024
• Instructors
  • Matt Kinsella, Ayyappasamy Sudalaiyadum Perumal

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 2024 academic year
• Instructors
  • There are no professors associated with this course for the 2024 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 2025
• Instructors
  • Adam G Hendricks

Bioengineering: Introduction to electron microscopy and 3D imaging. Dual-beam microscopy (FIB-SEM, or focused ion beam 鈥� scanning electron microscope); conventional and cryogenic preparation methods for biological materials. Complementary methods such as X-ray diffraction, X-ray tomography, atom probe tomography. 3D image processing and analysis, and the fundamentals of deep learning in imaging.

Offered by: Bioengineering

• 3-3-3
• Prerequisite: Permission of the instructor.
• Restrictions: Open to undergraduate (U3 or higher) and graduate students. Priority is given to bioengineering U3 undergraduate students.

• Terms
  • Winter 2025
• Instructors
  • Natalie Reznikov

Bioengineering: Storage and processing of information in biological systems, both natural and artificially-created, ranging from biomolecules, cells, and populations of cells. Information storage in DNA and DNA computation; molecular surfaces of proteins; computation with motile biological agents in networks; and biological and biologically-inspired algorithms.

Offered by: Bioengineering

• (3-2-4)

• Terms
  • Winter 2025
• Instructors
  • Jasmin Coulombe-Huntington

Bioengineering: The fundamental of diagnosis devices from design concepts to implementation in real-life application, a brief review of the gold standard diagnostic methods and their limitations, the building blocks of an ideal diagnostic device with a focus on point-of-care applications, biomolecular recognition elements including different one-step and multi-step assays based on nucleic acids and proteins, and the fundamental of sample delivery systems and fluid flow based on microfluidics, the integration of bioassays and microfluidics in lab-on-chip devices for automated sample preparation and detection, real-life application of lab-on-chip devices in medical diagnosis and the commercialized approaches.

Offered by: Bioengineering

• (3-0-6)
• Prerequisite: BIEN 360, BIEN 314, or permission of the instructor
• Restrictions: Restrictions: Open to undergraduate (U3 or higher) and graduate students.

• Terms
  • Winter 2025
• Instructors
  • Sara Mahshid

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 2024
• Instructors
  • Daniel Beaudet

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 2024
• Instructors
  • Sebastian Wachsmann Hogiu

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 2024
• Instructors
  • Allen J Ehrlicher

Bioengineering: Engineering principles in biology, BioBricks and standardization of biological components, parts registries, advanced molecular biology tools for DNA assembly, genome editing, high-throughput genetic manipulation methods, construction of biological pathways, strategies for transcriptional control, examples of engineered systems.

Offered by: Bioengineering

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

• Terms
  • Winter 2025
• Instructors
  • Codruta Ignea

Bioengineering: Metabolic engineering role in transition from fossil resources to a bio-based society. Design-build-test-learn cycle of metabolic engineering. Design, genetic engineering and optimization of microbial biocatalysts. Metabolic network analysis, constraint-based modelling of metabolism, microbial production of valuable chemicals. General biochemical engineering practices. Recombinant DNA technology, enzyme function, kinetics and regulation. Cell chemistry, structure and function. Growth models, fermentation, strain development. Case studies.

Offered by: Bioengineering

• 3-2-4
• Prerequisite: Permission of the instructor.

• Terms
  • Fall 2024
• Instructors
  • Codruta Ignea

Bioengineering: 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.

Offered by: Bioengineering

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

• Terms
  • Fall 2024
  • Winter 2025
• Instructors
  • Mario Jardon
  • Mario Jardon, Amine A Kamen

Bioengineering: Introduction to downstream processing (DSP) 鈥� principles, characteristics, purpose. Bioprocesses, biomolecules, drug substances, drug products, monoclonal antibodies and Fc fusion proteins, viral vectors, and vaccines. Unit operations - standard practices. Steps and techniques in downstream processing. Harvest and Filtration, Primary capture, Buffer exchange and up-concentration, Purification, Bioconjugation, Formulation. Optimization of downstream processing. Process Analytical Technology (PAT) to support Quality by Design (QbD) in DSP. Regulatory guidelines. Innovative Techniques for Downstream Bioprocessing.

Offered by: Bioengineering

• Prerequisites: BIEN 590 or permission of the instructor

• Terms
  • Fall 2024
• Instructors
  • Ayyappasamy Sudalaiyadum Perumal

Bioengineering: Introduction to Process Analytical Technologies (PAT) and Quality by Design (QbD) in the area of manufacturing biologics. Critical Process Parameters (CPP) and Design Space. Analytical Technologies for Biologics and Biologic Medicines and determination of Critical Quality Attributes of products. Case studies. At-line, On-line and Off-line monitoring tools, data acquisition and advanced process control strategies as applied to current industrial biomanufacturing. PAT data processing and modeling to design advanced biomanufacturing processes.

Offered by: Bioengineering

• Prerequisites: BIEN 590 or permission of the instructor.

• Terms
  • Fall 2024
• Instructors
  • Shawn Chahal, Amine A Kamen

Bioengineering: Building on recent developments and expansion in the mammalian cell culture for production of complex biologics such as viral vaccines and viral vectors, the following topics will be covered: Principles of immunology and industrial virology; Cell physiology for vaccine production; Cell lines for vaccine production; Upstream process development and process intensification strategies; Purification and downstream processing of viral vaccines; Analytical and potency assays; Formulations and delivery of vaccines; Basics of clinical trials and regulatory principles; Immunization policies. Case studies on bioprocessing/manufacturing licensed vaccines.

Offered by: Bioengineering

• Prerequisite: Permission of Instructor.

• Terms
  • Winter 2025
• Instructors
  • Mario Jardon

Bioengineering: Basic knowledge in the design and biomanufacturing of viral vectors for gene and cell therapy interventions. Practical examples and case studies highlighting challenges and solutions associated with use of viral vectors such as Adeno-Associated Vectors (AAV), lentivirus vectors and Adenovirus vectors for gene delivery. Fundamental principles of gene and cell therapies through in-vivo and ex-vivo interventions. Design of AAV, Lentivirus and Adenovirus vectors: example of targeted diseases, including CAR-T cell therapy. Technologies and modes of vector manufacturing for clinical use.

Offered by: Bioengineering

• Prerequisites: BIEN 590 or permission of the instructor
• Restrictions: Not open to students who have taken or are taking BIEN 680

• Terms
  • Winter 2025
• Instructors
  • Amine A Kamen

Biology (Sci): The emerging field of mechanobiology and mechanotransduction, and their relevance in the context of multicellular physiology in health and disease. The molecular and cellular foundations of mechanobiology are covered. Current literature on the topic will be discussed and presented by students. Identification of gaps in current knowledge and proposing research to address them.

Offered by: Biology

• Prerequisite: One 300-level cell biology course or equivalent, and/or instructor's permission
• Restrictions: Restricted to senior undergraduate in the BSc degree and graduate students who fullfill the prerequisites or to students approved by the instructor.

• Terms
  • Fall 2024
• Instructors
  • Arnold L Hayer

Biology (Sci): 'Post-genomic' bioinformatics. Concepts behind large-scale computational analysis and comparison of genomes/proteomes (and beyond), and the implications for our understanding of the basic processes of molecular and cell biology and the evolution of those processes.

Offered by: Biology

• Fall
• 3 hours lecture
• Prerequisite: BIOL 301 or permission of instructor.
• Restriction: Not open to students who have taken or are taking BINF 511.

• Terms
  • Fall 2024
• Instructors
  • Paul M Harrison

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 2024 academic year
• Instructors
  • There are no professors associated with this course for the 2024 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 2024
• Instructors
  • David Noble Harpp, Joseph A Schwarcz

Chemical Engineering: Introduction to stem cell biology. Cell growth models applicable to stem cells and their progeny. Upstream processing (cell culture systems, bioreactors), downstream processing (cell separation, purification) and quality management (current good manufacturing practice, regulations) applied to therapeutic cells.

Offered by: Chemical Engineering

• (3-0-6)
• Prerequisite(s): MATH 262 and CHEE 370 or BIOL 200, or Permission of Instructor.
• Restriction: Open to undergraduate and graduate students registered in Chemical Engineering, as well as graduate students registered in the 麻豆AV Graduate Certificate in Regenerative Medicine program or in the M.Eng. in Biological and Biomedical Engineering program.

• Terms
  • This course is not scheduled for the 2024 academic year
• Instructors
  • There are no professors associated with this course for the 2024 academic year

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 2024 academic year
• Instructors
  • There are no professors associated with this course for the 2024 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 2024 academic year
• Instructors
  • There are no professors associated with this course for the 2024 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
  • Fall 2024
• Instructors
  • Corinne Hoesli

Chemistry: This course will cover biologically relevant molecules, particularly nucleic acids, proteins, and their building blocks. In each case, synthesis and biological functions will be discussed. The topics include synthesis of oligonucleotides and peptides; chemistry of phosphates; enzyme structure and function; coenzymes, and enzyme catalysis; polyketides; antiviral and anticancer agents.

Offered by: Chemistry

• Winter
• Prerequisite: CHEM 302
• Restriction: Not open to students who have taken CHEM 402.

• Terms
  • Winter 2025
• Instructors
  • Christopher Thibodeaux, Alexander S Wahba, Anthony K Mittermaier

Chemistry: The aim of this course is to provide an introduction to the overall drug discovery process. The main focus of the course will be on medicinal chemistry, synthesis and catalysis, as they relate to large-scale production of pharmaceutical agents. However, other aspects of drug discovery, including structural research (e.g. NMR, X-ray), biochemistry, drug metabolism and bioavailability will also be included.

Offered by: Chemistry

• Fall
• Prerequisite(s): CHEM 302 and one of BIOL 200 or CHEM 332, or permission of instructor.

• Terms
  • Winter 2025
• Instructors
  • Youla S Tsantrizos

Chemistry: Physical chemistry concepts needed to understand the function of biological systems at the molecular level, including the structure, stability, transport, and interactions of biological macromolecules.

Offered by: Chemistry

• Winter
• Prerequisite: CHEM 203 or CHEM 204 or CHEM 223 and CHEM 243, or permission of instructor.
• Restriction: Not open to students who have taken CHEM 404.

• Terms
  • Winter 2025
• Instructors
  • Amy S Blum, Anthony K Mittermaier

Chemistry: An overview of advanced techniques at the leading edge of Chemical Biology, including some or all of: biological imaging, kinetics of enzyme inhibition, combinatorial synthesis, atomic force microscopy of biological molecules, self assembling biomimetic structures, oligonucleotide therapeutics, biomolecular X-ray crystallography, computational methods, and nuclear magnetic resonance applied to protein interactions.

Offered by: Chemistry

• Fall
• Prerequisites: BIOL 200 and CHEM 345 and CHEM 302, or permission of instructor

• Terms
  • Fall 2024
• Instructors
  • Christopher Thibodeaux, Anthony K Mittermaier, Alexey Kostikov

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 2024 academic year
• Instructors
  • There are no professors associated with this course for the 2024 academic year

Chemistry: The roles of transition and main group elements in biology and medicine will be examined with an emphasis on using tools for structure and genome searching as well as becoming acquainted with experimental spectroscopic methods useful for bioinorganic chemistry such as macromolecular X-ray diffraction, EPR and EXAFS.

Offered by: Chemistry

• Winter
• Prerequisite: CHEM 381
• Restriction: For Honours and Major Chemistry students or with permission

• Terms
  • This course is not scheduled for the 2024 academic year
• Instructors
  • There are no professors associated with this course for the 2024 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
  • Winter 2025
• Instructors
  • Michael Langer

Computer Science (Sci): Overview of the influence of neuroscience and psychology on Artificial Intelligence (AI). Historical topics: perceptrons, the PDP framework, Hopfield nets, Boltzmann and Helmholtz machines, and the behaviourist origins of reinforcement learning. Modern topics: deep learning, attention, memory and consciousness. Emphasis on understanding the interdisciplinary foundations of modern AI.

Offered by: Computer Science

• Prerequisites: MATH 222, MATH 223, and MATH 323; or equivalents.
• Restrictions: Not open to students who have taken COMP 596 when the topic was "Brain-Inspired Artificial Intelligence".

• Terms
  • Winter 2025
• Instructors
  • Blake Richards

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, COMP 202, MATH 133, MATH 222 (or their equivalents).
• Restriction(s): Not open to students who have taken or are taking COMP 451, ECSE 551, MATH 462, or PSYC 560.
• Some background in Artificial Intelligence is recommended, e.g. COMP-424 or ECSE-526, but not required.

• Terms
  • Fall 2024
  • Winter 2025
• Instructors
  • Isabeau Pr茅mont-Schwarz, Reihaneh Rabbany
  • Yue Li

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 2024
• 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 2024
• Instructors
  • Mathieu Blanchette

Computer Science (Sci): Fundamental concepts and techniques in computational structural biology, system biology. Techniques include dynamic programming algorithms for RNA structure analysis, molecular dynamics and machine learning techniques for protein structure prediction, and graphical models for gene regulatory and protein-protein interaction networks analysis. Practical sessions with state-of-the-art software.

Offered by: Computer Science

• 3 hours
• Prerequisite: COMP 462.
• Corequisite(s): COMP 462 or COMP 561

• Terms
  • This course is not scheduled for the 2024 academic year
• Instructors
  • There are no professors associated with this course for the 2024 academic year

Computer Science (Sci): Linear models in statistical genetics, causal inference, single-cell genomics, multi-omic learning, electronic health record mining. Applications of machine learning techniques: linear regression, latent factor models, variational Bayesian inference, neural networks, model interpretation.

Offered by: Computer Science

• Prerequisites: (BIOL 202 or BIOL 302) and MATH 324 and (COMP 451 or COMP 551), or equivalents.
• Restrictions: Not open to students who have taken COMP 597 or COMP 598 when the topic was "Machine Learning in Genomics and Healthcare".

• Terms
  • Fall 2024
• Instructors
  • Yue Li

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 2024 academic year
• Instructors
  • There are no professors associated with this course for the 2024 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 2024 academic year
• Instructors
  • There are no professors associated with this course for the 2024 academic year

Electrical Engineering: Selected topics in bioengineering focusing on the principles of neural prosthetics systems (brain machine interfaces). Paralysis as a communication problem. Motor control theory receptive fields. Electrical properties of the central nervous system, modern measurement technologies, encoding and mutual information, statistical data analysis, decoding and thought prediction.

Offered by: Electrical & Computer Engr

• Prerequisites: (ECSE 303 or ECSE 306 or ECSE 206 or ECSE 316) and (ECSE 305 or ECSE 205) or permission of instructor
• Restriction: Accessible only to Honours Electrical Engineering students and Graduate students in Engineering

• Terms
  • This course is not scheduled for the 2024 academic year
• Instructors
  • There are no professors associated with this course for the 2024 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
  • This course is not scheduled for the 2024 academic year
• Instructors
  • There are no professors associated with this course for the 2024 academic year

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 324
• Restriction: Not open to students who have taken or are taking COMP 424.

• Terms
  • Fall 2024
• 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 2024 academic year
• Instructors
  • There are no professors associated with this course for the 2024 academic year

Electrical Engineering: An overview of statistical and machine learning techniques as applied to computer vision problems, including: stereo vision, motion estimation, object and face recognition, image registration and segmentation. Topics include regularization, probabilistic inference, information theory, Gaussian Mixture Models, Markov-Chain Monte Carlo methods, importance sampling, Markov random fields, principal and independent components analysis, probabilistic deep learning methods including variational models, Bayesian deep learning.

Offered by: Electrical & Computer Engr

• (3-0-9)
• Prerequisites: (ECSE 205 or equivalent) and (ECSE 415 or COMP 558 or equivalent).

• Terms
  • Fall 2024
• Instructors
  • Tal Arbel

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.

Offered by: Epidemiology and Biostatistics

• Prerequisite(s): EPIB 507 or permission of the instructor.
• Restriction(s): Course not open to students registered in the Epidemiology, Biostatistics or Public Health programs. Not open to students who have taken EPIB 591 when topic was 鈥淩egression Analysis for Health Sciences".

• Terms
  • Winter 2025
• Instructors
  • Maria-Graciela Hollm-Delgado

Epidemiology & Biostatistics: Mathematical models of infectious diseases 鈥揷omputer simulations of epidemics鈥揺nable detailed analyses and understanding of factors affecting the distribution of infections/diseases in populations and now play a key role in policy making. Covered topics include: short-term dynamics of infections (R0), compartmental models, stochastic models (including agent-based), contact patterns and heterogeneity, and Bayesian model calibration. The learning objectives are: 1) recognize research questions that can be addressed using modeling; 2) develop, parameterize, calibrate, and analyze simple infectious disease models in R; and 3) critically appraise scientific modeling papers.

Offered by: Epidemiology and Biostatistics

• Prerequisite(s): EPIB 621 or permission of the instructor
• Restrictions: Not open to students who have taken EPIB 676 when topic was "Mathematical Models of Infectious Diseases".
• This is an intermediate-level quantitative course. Previous courses in calculus and biostatistics are recommended (in doubt, contact the instructor prior to registration). A working knowledge of the R statistical software (or equivalent) is mandatory (data structures, function, loop, etc.).

• Terms
  • This course is not scheduled for the 2024 academic year
• Instructors
  • There are no professors associated with this course for the 2024 academic year

Experimental Medicine: Course deals with various aspects of gastrointestinal and hepatic function in health and altered physiological states. The principal focus is on the recent literature pertaining to cell and molecular mechanisms underlying the motility secretory process, absorption and secretion. The molecular biology of the hepatic viruses and various aspects of colonic neoplasia will also be considered.

Offered by: Medicine

• Fall and Winter
• Prerequisite: Graduate students, U3 undergraduates

• Terms
  • Winter 2025
• Instructors
  • Gary Edward Wild

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 2024
• Instructors
  • Simon Rousseau, Christine T McCusker, Benjamin M Smith, Andrew Bateman, Stephane A Laporte, Carolyn J Baglole, 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 2025
• 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 2025
• Instructors
  • Mehdi Dagdoug

Mathematics & Statistics (Sci): The formulation and treatment of realistic mathematical models describing biological phenomena through such qualitative and quantitative mathematical techniques as local and global stability theory, bifurcation analysis, phase plane analysis, and numerical simulation. Concrete and detailed examples will be drawn from molecular, cellular and population biology and mammalian physiology.

Offered by: Mathematics and Statistics

• Prerequisite(s): MATH 325, MATH 376, and COMP 202 or COMP 204 or COMP 208 or equivalent.
• Restriction(s): Not open to students who have taken MATH 437.
• This course is offered in the winter semester.

• Terms
  • Winter 2025
• Instructors
  • Anmar Khadra

Mechanical Engineering: Vibratory and acoustic disturbances propagated in homogeneous media. Modelling of acoustic systems using lumped-parameters. Simple sound wave fields, transverse waves in strings and bars, longitudinal waves in bars, and transverse waves in membranes, beams, and plates. Basic wave propagation phenomena and sound source models.

Offered by: Mechanical Engineering

• (3-0-6)
• Prerequisites: MATH 271 and MECH 315
• Offered only in even years.

• Terms
  • This course is not scheduled for the 2024 academic year
• Instructors
  • There are no professors associated with this course for the 2024 academic year

Mechanical Engineering: Mechanics of proteins (collagen, keratin), polysaccharides (cellulose, chitin), cells, skin, bone, teeth, seashells, insect and arthropod cuticles. Emphasis on microstructure-property-function relationships and on multiscale approach. State-of-the-art experimental and modelling techniques. Self-healing and adaptive biological materials.

Offered by: Mechanical Engineering

• (3-1-5)
• Prerequisites: MECH 210, MIME 260 or MIME 261, or permission of instructor

• Terms
  • Winter 2025
• Instructors
  • Jianyu Li

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.

Offered by: Mechanical Engineering

• (3-0-6)
• Prerequisites: MECH 210, MIME 260 or MIME 261, or permission of instructor

• Terms
  • This course is not scheduled for the 2024 academic year
• Instructors
  • There are no professors associated with this course for the 2024 academic year

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 2024 academic year
• Instructors
  • There are no professors associated with this course for the 2024 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
  • Fall 2024
• Instructors
  • Siril Teja Dukkipati

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.

Offered by: Mechanical Engineering

• (3-0-6)
• Prerequisite: MATH 271 or permission of instructor.

• Terms
  • Winter 2025
• Instructors
  • Timothy Lee

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
  • Winter 2025
• Instructors
  • There are no professors associated with this course for the 2024 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 2024
• 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 2025
• Instructors
  • Timothy Lee

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.

Offered by: Mechanical Engineering

• Terms
  • Fall 2024
• Instructors
  • Damiano Pasini

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 2024
• Instructors
  • Ives Levesque

Medical Physics: A rigorous treatment of the physical principles and the instrumentation of radiology, computed tomography and ultrasound medical imaging systems. Special attention is paid to the analysis of the relations between imaging system design, image quality, and safety. Measurement techniques for the evaluation of medical imaging systems are reviewed.

Offered by: Medical Physics Unit

• Terms
  • Winter 2025
• Instructors
  • Peter G Watson, Gabriela Stroian

Medical Physics: The physics of radioactivity and the applications of radioisotopes and radiopharmaceuticals in medical diagnosis. Topics covered include radiation spectrometry, the scintillation camera, image analysis and data processing in nuclear medicine, single photon emission tomography, and positron emission tomography.

Offered by: Medical Physics Unit

• Corequisite: MDPH 601

• Terms
  • Fall 2024
• Instructors
  • Ives Levesque, Shirin Abbasi Nejad Enger

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.

Offered by: Neurology and Neurosurgery

• Winter
• Basic neuroanatomy/neurophysiology, some mathematics (linear algebra calculus, probability/statistics) or consent of instructor.
• Restriction: Not open to students who have taken NEUR 603.

• Terms
  • Winter 2025
• Instructors
  • Christopher C Pack, Jesper Sj枚str枚m, Daniel E Guitton, Curtis L Baker, Bratislav Misic, Erik P Cook, Maurice J Chacron, Mark Brandon, Suresh Krishna, Pouya Bashivan

Neurology and Neurosurgery: Current topics in Neuroscience.

Offered by: Neurology and Neurosurgery

• Fall
• Prerequisite: Permission of unit instructor

• Terms
  • Fall 2024
  • Winter 2025
• Instructors
  • Tie Yuan Zhang, Diane B Boivin, Kai-Florian Storch, Yong Rao, Keith Murai, David Stellwagen, Nicolas Cermakian, Brian Chen, Jean-Francois Poulin, Wei-Hsiang Huang, Yasser Iturria Medina, Xiaoqian Chai, Boris Bernhardt, Maiya R Geddes, Mark Brandon, Sylvain Williams, Adrien F Peyrache, Suresh Krishna
  • Reza Farivar-Mohseni, Jean-Baptiste Poline

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 2024
• Instructors
  • Gary A Armstrong, Wayne Steven Sossin, Jean-Francois Cloutier, Derek Bowie, Jean-Francois Poulin, Edward S Ruthazer, Adrien F Peyrache, Austen Milnerwood, PhD, Yang Zhou, 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 麻豆AV. Students from other universities, as well as undergraduate students from 麻豆AV require special permission from the Instructor.

• Terms
  • Winter 2025
• Instructors
  • David S Ragsdale, Daniel E Guitton, Abbas Sadikot, Stuart Trenholm, Justine C Cl茅ry

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 2025
• Instructors
  • Martina V Stromvik

Bioinformatics: Underlying concepts and techniques for the analyses of large-scale data sets, generated from "omics" platforms (e.g., metagenomics, metabolomics, transcriptomics, etc.), as well as different approaches for working with high-dimensional data. Students will gain experience in such software packages as R and Bioconductor for statistical analysis and data visualization.

Offered by: Animal Science

• Prerequisites: AEMA 310 or equivalent; LSCI 204, LSCI 211, LSCI 230, or equivalent
• Restriction: Open to U3 students and above

• Terms
  • This course is not scheduled for the 2024 academic year
• Instructors
  • There are no professors associated with this course for the 2024 academic year

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 2025
• Instructors
  • Reza Salavati, Traian Sulea, Poorya Mirzavand Borujeni

Biotechnology: Principles and methodologies of structure-based molecular design, optimization, and development of therapeutic monoclonal antibodies. Role in therapy and diagnosis; structural features of various types of antibodies; dissection of antibody-antigen interactions; in silico affinity maturation; manipulation of antigen specificity by point mutagenesis; using antibody Fc domain to modulate pharmacokinetics and effector functions; design of antibody conjugates carrying toxic payloads; engineering T-cells with chimeric antigen receptors; evaluation and improving antibody immunogenicity and aggregation; antibody humanization.

Offered by: Parasitology

• Prerequisite: 400-level or higher level course in biochemistry and bioinformatics, or permission of instructor

• Terms
  • Fall 2024
• Instructors
  • Reza Salavati, Christopher R Corbeil, Traian Sulea

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
  • Winter 2025
• Instructors
  • Paul W Wiseman

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 2025
• Instructors
  • Simon Rousseau, Alain Steve Comtois, James G Martin, Sheldon A Magder, Sabah N A Hussain, Larry Lands, Basil Petrof

Physiology: Students will develop a working knowledge of cartilage and bone. Discussion topics will include: molecular and cellular environment of bone; heritable and acquired skeletal defects; research models used to study metabolic bone disease.

Offered by: Physiology

• Fall
• 1 hour of lecture, 2 hours of seminar per week
• Prerequisites: PHGY 311, and BIOL 202 or equivalent
• Restriction: U3 Physiology students, and graduate students in biomedical departments; others by permission of the instructor

• Terms
  • Fall 2024
• Instructors
  • Monzur Murshed, Frank Rauch, Peter M Siegel, Pierre Moffatt, Juliana Marulanda Montoya, Bettina M Willie, Rene St-Arnaud, Kerstin Tiedemann, Laura Stone

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 2025
• Instructors
  • Daniel E Guitton, Curtis L Baker, Erik P Cook, Christopher C Pack, Adrien F Peyrache, Suresh Krishna, Pouya Bashivan, Majid Mohajerani

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 2024
  • Winter 2025
• Instructors
  • Yashar Zeighami, Mahsa Dadar
  • Yashar Zeighami