Understanding diversity of cell behaviour at the molecular level. Through discussion of molecular dynamics in living cells in the context of varied microenvironments, develop an understanding of cellular behaviour based on intracellular events in response to extracellular stimuli. Specific topics include receptor-ligand interatctions, morphogens, signal transduction, cell growth & differentiation, cell adhesion and migration, trafficking, and mechanotransduction. Examples from in vitro culture systems and model organisms in vivo are used to support discussions.

The course encompasses the new multidisciplinary area of Regenerative Engineering by integrating various components of Regenerative Medicine, Clinical Engineering, Human Biology & Physiology, Advanced Biomaterials, Tissue Engineering, and Stem Cell and Developmental Biology, bringing all these disciplines into the clinical perspective of translational medicine. The course starts with the key concepts of stem cell biology and their properties at the cellular and subcellular levels working our way to complex tissues and organs. In the first half of the course, 2D and 3D tissue and organ formation will be our main focus. In the second half, we will discuss the integration of medical devices, technologies and treatments into healthcare as well as clinical trial logistics, ethics and processes. The course materials will integrate cutting-edge research in regenerative medicine and current clinical trials by inviting scientists and clinicians as guest lecturers. Students will be given the rare opportunity to incorporate into their written assignments experiment-based learning via participation in workshops, tours of research facilities, seminars and independent projects integrated into the course during the semester.

Through systematic mathematical analysis of biological networks, this course derives design principles that are cornerstones for the understanding of complex natural biological systems and the engineering of synthetic biological systems. Course material includes: transcriptional networks, autoregulation, feed-forward loops, global network structure, protein networks, robustness, kinetic proofreading and optimality. After completion of the course, students should be able to use quantitative reasoning to analyze biological systems and construct mathematical models to describe biological systems.

This is intended to provide students interested in biomedical research with an introduction to core statistical concepts and methods, including experimental design. The course also provides a good foundation in the use of discovery tools provided by a data analysis and visualization software. The topics covered will include: i) Importance of being uncertain; ii) Error bars; iii) Significance, p-values and t-tests; iv) Power and sample size; v) Visualizing samples with box plots; vi) Comparing samples; vii) Non parametric tests; viii) Designing comparative experiments; ix) Analysis of variance and blocking; x) Replication; xi) Two-factor designs; xii) Association, correlation and causation; xiii) Simple linear regression; xiv) Regression diagnostics. The concepts will be illustrated with realistic examples that are commonly encountered by biomedical researchers (as opposed to the simpler examples described in entry-level textbooks). The statistical softwares used in this course are JMP and R Studio.

Fundamental biomedical research technologies with specific focus on cellular and molecular methodologies. Examples include DNA and protein analysis and isolation, microscopy, cell culture and cellular assays. Combines both theoretical concepts and hand-on practical experience via lectures and wet labs, respectively. Specific applications as applied to biotechnology and medicine will also be outlined and discussed.

Generation, transmission and the significance of bioelectricity in neural networks of the brain. Topics covered include: (i) Basic features of neural systems. (ii) Ionic transport mechanisms in cellular membranes. (iii) Propagation of electricity in neural cables. (iv) Extracellular electric fields. (v) Neural networks, neuroplasticity and biological clocks. (vi) Learning and memory in artificial neural networks. Laboratory experiences include: (a) Biological measurements of body surface potentials (EEG and EMG). (b) Experiments on computer models of generation and propagation of neuronal electrical activities. (c) Investigation of learning in artificial neural networks. This course was previously offered as ECE445H1.

Engineering and biophysical tools are used to integrate and enhance our understanding of animal cell behaviour from the molecular to the tissue level. Quantitative methods are used to mathematically model the biology of cell growth, division and differentiation to tissue formation. Specific topics include receptor-ligand interactions, cell adhesion and migration, signal transduction, cell growth and differentiation. Examples from the literature are used to highlight applications in cellular and tissue engineering.

The objective of this course is to provide students with strategies by which they can "reverse engineer" medical device products intended for use as implantable devices or in contact with body tissue and fluids. A top down approach will be taken where the regulatory path for product approval and associated costs with product development and validation are reviewed for different biomaterials and devices. This path is then assessed in the context of product specific reimbursement, safety, competitive positioning and regulatory concerns. Students will be required to use their existing knowledge of biomaterials and biocompatibility to frame the questions, challenges and opportunities with a mind to re-engineering products in order to capitalize on niche regulatory pathways. The resulting regulatory path gives a good idea of the kind of trial design the product must prevail in and ultimately the design characteristics of the device itself. The United States and Europe will be contrasted with respect to both their regulatory environment and reimbursement. Lastly, quantitative product development risks estimates are considered in choosing a product path strategy for proof of concept and approval.

A seminar to introduce students to concepts in biomedical systems engineering design in preparation for BME489H1 - Biomedical Systems Engineering Design. Review of general design concepts in the context of biodesign practice. Discussion of issues related to biodesign, including regulatory processes, intellectual property, and global health. Students will be introduced to clients, identify a design project, and define their design problem. At the end of the term, students will deliver a draft "elevator pitch" for their project.

A capstone design project that provides students in the Biomedical Systems Engineering option with an opportunity to intergrate and apply their technical knowledge and communication skills to solve real-world biomedical engineering design challenges. Students will work in small groups on projects that evolve from clinical partners, biomedical/clinical research and teaching labs, and commercial partners. At the end of the course, students submit a final design report and a poster for public exhibition.

In this project-based design course, teams of students from diverse engineering disciplines (enrolled in the biomedical engineering minor) will engage in the biomedical technology design process to identify, invent and implement a solution to an unmet clinical need defined by external clients and experts. This course emphasizes "hands-on" practicums and lectures to support a student-driven design project. The UG Office will reach out in the summer to 4th year BME Minor students regarding course registration. For A&S students, approval to register in the course must be obtained from the course instructor by completing the application available through the BME UG Office.

An introduction to current practices in modern radiology - the detection and assessment of various human diseases using specialized imaging tools (e.g., MRI, CT, ultrasound, and nuclear imaging) from the perspective of the end-user, the clinician. Course content will include lectures delivered by radiologists describing normal anatomy and physiology as well as tissue pathophysiology (i.e., disease). Visualization and characterization using medical imaging will be described, with core lecture material complemented by industry representative guest lectures where challenges and opportunities in the development of new medical imaging technologies for niche applications will be discussed.

An introduction to the principles of human body movement. Specific topics include the dynamics of human motion and the neural motor system, with a focus on the positive/negative adaptability of the motor system. Students will experience basic techniques of capturing and analyzing human motion. Engineering applications and the field of rehabilitation engineering will be emphasized using other experimental materials. This course is designed for senior undergraduate and graduate students.

An introductory course to medical imaging and is designed as a final year course for engineers. The main clinical imaging modalities are covered: magnetic resonance imaging, ultrasound imaging, x-ray and computed tomography, nuclear medicine, and clinical optical imaging. Emphasis is placed on the underlying physical and mathematical concepts behind each modality, and applications are discussed in the context of how different modalities complement one another in the clinical setting. Early year engineering concepts are extensively used, including: basic electromagnetics theory, fields and waves, signals and systems, digital signal processing, differential equations and calculus, and probability and random processes. The laboratories involve image reconstruction and analysis for the various imaging modalities and a live animal imaging session.

A course in physical chemistry. Topics discussed include systems and their states, stoichiometry, the properties of gases, the laws of chemical thermodynamics (calculations involving internal energy, enthalpy, free energy, and entropy), phase equilibrium, chemical equilibrium, ionic equilibrium, acids and bases, solutions, colligative properties, electrochemistry, and corrosion.

Introduction of the key concepts that underpin the chemical engineering discipline and their application to address global challenges. The course will introduce the chemical industry as the interface between natural resources (minerals, water, air, oil, agricultural products, etc.) and the wide range of higher value products (materials, energy, clean water, food, pharmaceuticals, etc.) utilized in our society and the challenges and opportunities for the industry as part of a sustainable future. The course will introduce four core concepts underpinning the discipline of chemical engineering: thermodynamics (driving force); transport phenomena (heat, mass, momentum); reaction kinetics (rates); and unit operations. Topics covered include: the control volume approach; material and energy balances; flux; and reaction yield and conversion, with applications to batch and continuous systems. The course will introduce the connections between these foundational concepts and how they relate to our understanding of chemical and biochemical systems at various scales. The laboratory will reinforce these key chemical engineering principles.

This is a seminar series that will introduce students to the community, upper-year experience, and core fields of Chemical Engineering and Applied Chemistry. Seminar presenters will represent the major areas in Chemical Engineering and Applied Chemistry and will also be drawn from an array of groups, including students, staff, faculty, and alumni. The format will vary and may include application examples, case studies, career opportunities, and research talks. The purpose of the seminar series is to provide first year students with some understanding of the various options within the Department to enable them to make educated choices as they progress through the program. This course will be offered on a credit/no credit basis.

This laboratory course surveys aspects of inorganic and analytical chemistry from a practical point of view in a comprehensive laboratory experience. In this course, students learn how to analyze known and unknown samples using qualitative and quantitative analysis. Emphasis is placed on primary standards, instrumental techniques (e.g., spectroscopy), classical volumetric techniques (e.g., titration), statistical treatment of data, and reliability and repeatability (i.e., accuracy and precision). The course includes elements of process and industrial chemistry and practice. Theory, where applicable, is interwoven within the laboratories or given as self-taught modules.

This laboratory course surveys aspects of organic chemistry from a practical point of view in a comprehensive laboratory experience. In this course, students explore the syntheses of different chemical reactions (substitution, elimination, condensation

and hydrolysis), analyzing and characterizing the intermediates and major products formed using established processes and laboratory techniques (e.g., IR, RI, GC, TLC). The course includes elements of process and industrial chemistry and practice (including Green Chemistry).

An introduction to mass and energy (heat) balances in open systems. A quantitative treatment of selected processes of fundamental industrial and environmental significance involving phase equilibria, reaction and transport phenomena under both steady state and unsteady state conditions. Examples will be drawn from the chemical and materials processing industries, the energy and resource industries and environmental remediation and waste management.

Fundamentals of heat and transfer, including conduction, convective heat transfer, natural convection, design of heat exchangers, Fick's law of diffusion, analysis of mass transfer problems using Fick's law and mass balances, and effect of chemical reactions on mass transfer. Particular attention is focused on convective heat and mass transfer coefficients as obtained in laminar flow, or from turbulent heat transfer correlations and analogies.

Fundamentals of fluid mechanics including hydrostatics, manometry, Bernoulli's equation, integral mass, linear momentum and energy balances, engineering energy equation, Moody chart, pipe flow calculations, flow measurement instruments and pumps, dimensional analysis, differential analysis of laminar viscous flow, and brief introductions to particle systems, turbulent 1low, non-Newtonian fluids and flow in porous systems.

Topics include the structure, bonding and characteristic reactions of organic compounds including additions, eliminations, oxidations, reductions, radical reactions, condensation/hydrolysis and rearrangements. The chemical relationships and reactivities of simple functional groups are discussed with an emphasis placed on reaction mechanisms involving the formation of organic intermediates, chemicals and polymers. An introduction will be given on biologically relevant compounds such as carbohydrates, proteins, lipids and nucleic acids. Examples will be discussed which outline the usefulness of these reactions and chemicals within the broader chemical industry.

The Chemistry and physical properties of inorganic compounds are discussed in terms of atomic structure and molecular orbital treatment of bonding. Topics include acid-base and donor-acceptor chemistry, crystalline solid state, chemistry of main group elements and an introduction to coordination chemistry. Emphasis is placed on second row and transition metal elements.

This course introduces the basic concepts of multivariable calculus (partial derivatives, gradients, multiple integrals and vector analysis, etc.) and methods of solution of ordinary differential equations. The course places a strong emphasis on the application of these concepts to practical design and modeling problems in chemical engineering.

Introduces concepts used in developing mathematical models of common chemical engineering processes, concepts of process dynamics and methods for analyzing the process response to different perturbations, and the numerical methods required for solving and analyzing the mathematical models. The course will also introduce applications of modeling to biochemical engineering.

Provides students with an introduction to statistical learning, namely the building of models from data. The course begins with foundational topics in elementary statistics. In the statistical learning portion of the course, the problem is formulated in terms of a system having input and output variables, the main goals of prediction and inference are presented, mean square error is defined, and the bias-variance trade-off is described in the context of overfitting the data. Statistical learning methodologies that are covered include K-Nearest Neighbours (KNN) regression, simple linear regression, multiple linear regression, and principal component analysis. Cross-validation is introduced as a popular method for model assessment and selection. The tutorial involves extensive computer-based simulation work to help students understand and appreciate the key concepts and to gain experience applying statistical learning to real data.

The chemical phenomena occurring in environmental systems are examined based on fundamental principles of organic, inorganic and physical chemistry. The course is divided into sections describing the chemistry of the atmosphere, natural waters and soils. The principles applied in the course include reaction kinetics and mechanisms, complex formation, pH and solubility equilibria and adsorption phenomena. Molecules of biochemical importance and instrumental methods of analysis relevant to environmental systems are also addressed. (formerly EDC230H1S)

Engineering analysis and design are not ends in themselves, but they are a means for satisfying human wants. Thus, engineering concerns itself with the materials used and forces and laws of nature, and the needs of people. Because of scarcity of resources and constraints at all levels, engineering must be closely associated with economics. It is essential that engineering proposals be evaluated in terms of worth and cost before they are undertaken. In this course we emphasize that an essential prerequisite of a successful engineering application is economic feasibility. Hence, investment proposals are evaluated in terms of economic cost concepts, including break even analysis, cost estimation and time value of money. Effective interest rates, inflation and deflation, depreciation and income tax all affect the viability of an investment. Successful engineering projects are chosen from valid alternatives considering such issues as buy or lease, make or buy, cost and benefits and financing alternatives. Both public sector and for-profit examples are used to illustrate the applicability of these rules and approaches.