This course has two parts that challenge students to think about the commercialisation of digital health products. In the first half of the course students will build upon their training in digital health regulation by doing a reverse engineering assignment on a technology (e.g., health software). Students will also be introduced to detecting hype around a health technology and to distinguish this activity from more meaningful indicators of validation. Human factor engineering will be introduced in the context of basic psychology and its application to usability analysis and product design. The first half of the course involves individual student presentations that forecast the future of a digital health product and provide a critical analysis of the technology. The second half of the course challenges the students to think about creating their own digital technology. Special emphasis will be placed upon developing a compelling use case, regulatory strategy, and market analysis. The second half of the course shifts to independent study by student teams that is supervised by the instructor.

This series of centrepiece courses is designed to grant our students a more in-depth appreciation and understanding of the biotechnology and biopharmaceutical industry in a corporate and/or industrial setting, and to apply their knowledge and skills in a real-world context. Students are required to complete two 4-month full-time Work Term placements that are arranged by the course coordinator to ensure that the role, responsibilities, and activities are at a graduate level. Credit-granting responsibilities reside with the course instructor, based on assignments and feedback from students' Work Term supervisors.

Required preparatory exercises and assignments must be completed in the Summer and Fall sessions, leading up to the start of the placement in Winter/Spring, in order for students to qualify for Work Term I. These preparatory requirements can involve résumé workshops, one-on-one meetings with members of the MBiotech team, attendance at the annual Career Day, and more.

Students in Work Term II may continue with the same employer from Work Term I, or alternatively with a new employer or department. Students' performance and their work experiences is evaluated in a manner similar to that for Work Term I.

Note: BTC1920Y Work Term III is an optional elective course that extends the placement experience to a full 12 months' duration. Students taking Work Term III share their experiences by means of a mandatory Networking Night component in late November.

Students receive credit/no credit grades for all three courses.

This series of centrepiece courses is designed to grant our students a more in-depth appreciation and understanding of the biotech­nology and biopharma­ceutical industry in a corporate and/or industrial setting, and to apply their knowledge and skills in a real-world context. Students are required to complete two 4-month full-time Work Term placements that are arranged by the course coordinator to ensure that the role, responsibilities and activities are at a graduate level. Credit-granting responsibilities reside with the course instructor, based on assignments and feedback from students’ Work Term supervisors.

Required preparatory exercises and assignments must be completed in the Summer and Fall sessions, leading up to the start of the placement in Winter/Spring, in order for students to qualify for Work Term I. These preparatory requirements can involve résumé work­shops, one-on-one meetings with members of the MBiotech team, attendance at the annual Career Day, and more.

Students in Work Term II may continue with the same employer from Work Term I, or alternatively with a new employer or department. Students’ performance and their work experiences is evaluated in a manner similar to that for Work Term I.

Note: BTC1920Y Work Term III is an optional elective course that extends the placement experience to a full 12 months' duration. Students taking Work Term III share their experiences by means of a mandatory Networking Night component in late November.

Students receive credit/no credit grades for all three courses.

This series of centrepiece courses is designed to grant our students a more in-depth appreciation and understanding of the biotechnology and biopharmaceutical industry in a corporate and/or industrial setting, and to apply their knowledge and skills in a real-world context. Students are required to complete two 4-month full-time Work Term placements that are arranged by the course coordinator to ensure that the role, responsibilities and activities are at a graduate level. Credit-granting responsibilities reside with the course instructor, based on assignments and feedback from students' Work Term supervisors.

Required preparatory exercises and assignments must be completed in the Summer and Fall sessions, leading up to the start of the placement in Winter/Spring, in order for students to qualify for Work Term I. These preparatory requirements can involve résumé work­shops, one-on-one meetings with members of the MBiotech team, attendance at the annual Career Day, and more.

Students in Work Term II may continue with the same employer from Work Term I, or alternatively with a new employer or department. Students' performance and their work experiences is evaluated in a manner similar to that for Work Term I.

Note: BTC1920Y, Work Term III is an optional elective course that extends the placement experience to a full 12 months' duration. Students taking Work Term III share their experiences by means of a mandatory Networking Night component in late November.

Students receive credit/no credit grades for all three courses.

This course introduces students to the basic skills and concepts needed to become an effective member of an organization. It focuses on (1) team working skills, (2) fundamental managerial skills, and (3) career management skills. The course is participative in its design and requires students to apply the material in the course. It provides the first opportunity for a team approach to problem solving and will provide a realistic preview of the workplace.

This course will be used to define and organize groups of students who will work in teams to complete the subsequent laboratory modules.

This foundational course introduces students to a broad range of the critical managerial concepts that are required to operate sucessfully in today's biotechnologically focused organizations. Topics covered include forms of business ownership, an introduction to financial statements, auditor reports, financial statement analysis, ratio analysis, time value of money, net present value, internal rate of return, projected statements, marketing math, market segmentation, product positioning, the marketing mix, pricing decisions, channel strategies, customer value propositions, competitive strategies, marketing in the age of artificial intelligence, as well as some aspects of strategic manage­ment and organis­ational alignment. Theory and application are combined through the use of readings, case studies, in-class discussions and presentations, as well as a team project.

This course introduces students to the fundamentals of economics and strategic management. Throughout the course, we will attempt to answer a fundamental question posed by management scholars: how is it that some firms are able to repeatedly and consistently achieve great results, while others fail and crash out of the market? In search of an answer, we'll explore a variety of decisions firms make, including pricing, product variety and scope, motivation of employees, and interaction with competitors. The course features a combination of lecture and case discussion; course readings include textbook excerpts, business press, and academic articles.

In this course, we will define technological innovation as the process of leveraging new ideas to create economic value and deliver this value to shareholders, employees, consumers, and our society at large. This process involves critical strategic choices that are common to most organizations, from small startups to large established companies: What is the best way to bring an idea to the market, and to arrange production and distribution? How should we redesign our internal organisation, as well as the system of partnerships and relationships with external players? Should we redefine our vertical and horizontal boundaries, for example by outsourcing some activities or entering new geographical markets? Throughout the course, we will refine our ability to approach and find the best answer to these (and many other) questions. Using an applied and discussion-based method, we will learn how to effectively convert a creative idea into a valuable innovation.

This course allows students to conduct research with one of the program instructors.

Biological, disease, and drug mechanisms are all determined by the 3-dimensional arrangement of atoms within biological macromolecules. Therefore, knowledge of molecular structure is fundamental to protein engineering and the development of new therapeutics and vaccines. This course will cover the application of structural biology methods to drug development and biotechnology. Students will be intro­duced to the modern tools of protein structure determination including cryo-electron microscopy, X-ray crystallo­graphy, and NMR through lectures and group activities. Lectures will focus on theory, techniques, data collection, analysis, and interpretation, model building and valid­ation, and the advantages and limitations of each method. The applications of these methods to the pharmaceutical and biotechnology industries including protein engineering, target selection and drug­ability, lead identification and optimiz­ation, rational drug design, and drug mechanism of action will be explored through group presentations, case studies, and discussions.

Data analysis and decision making are two core components in many industries. In this course, we will walk through major techniques in both components, including descriptive and exploratory data analysis, predictive analytics, causal inference, optimization, and simulation. The students are expected to conformably answer the following questions upon the completion of the course: how to visualize and present data to your clients or managers, how to predict patterns in the future from the historical data, how to measure the effect­iveness of a policy, how to make best decisions under uncertainty based on the available information.

Addressing societal and engineering challenges in the 21st century requires engineers to think holistically about the systems we design and build. Public policy often dictates what engineering projects are commissioned and what values are being optimized for in engineering practice (e.g., cost, beauty, environment, safety, equity). However, too few engineers understand the drivers of public policy, how public policy is developed, and the role it plays in engineering. Similarly, too few policy makers understand the applied science of engineering. The interplay between policy and civil engineering is particularly acute in the urban environment, where civil engineering works (transportation, housing, water services, libraries, etc.) are concentrated and where, in Canada, the public policies of three levels of government influence engineering practice. This seminar course challenges engineers to think about how public policy is made and how it guides the practice of engineering both directly and indirectly.

Water resources systems are physically complex and the solution of appropriate mathematical models is computationally demanding. This course considers physical processes in water resource systems, their mathematical representation and numerical solutions. Newton's 2nd law and the equations of mass and energy conservation are developed and applied to closed-conduit, open-channel, and groundwater flow problems. Procedures for efficient numerical solution of the governing equations are presented. Problems of non-linearity, sensitivity to data and computational complexity are introduced.

The course explores the evolution of great cities over time, looking at form and function to understand urban economic growth and accumulation of wealth. Drawing from various strands of economic thought, topics include: value theory; quantification of urban wealth; microeconomics of real estate markets; infrastructure for competitive financial centres; macroeconomics of urban form; growth theory; and evolutionary economics applied to urban systems. Using current and historical examples of urban development, the implications of infrastructure planning, and management on the health/wealth of cities is examined.

Cities are problems in organized complexity (Jacobs, 1961). This course will explore this theme and its implications for city engineering and management in terms of: introduction to complex systems theory; exploration of cities as systems (physical, economic, social, etc.); holistic and reductionist approaches to 'a science of cities'; approaches to city planning and design in the face of complexity; challenges to sustainable design; and decision-making under uncertainty.

This course provides a working knowledge of modern electrochemistry. The topics dealt with include, the physical chemistry of electrolyte solutions, ion transport in solution, ionic conductivity, electrode equilibrium, reference electrodes, electrode kinetics, heat effects in electrochemical cells, electrochemical energy conversion (fuel cells and batteries), and industrial electrochemical processes. Numerous problems are provided to clarify the concepts.

This course is intended for graduate students who don't have an undergraduate degree in chemical engineering. A high level introduction to the underlying principles of chemical engineering for students who do not have a chemical engineering undergraduate education. Principles will be illustrated through both research examples and classical chemical engineering situations. Students with an undergraduate degree in Mechanical Engineering or Chemical Engineering are excluded from this course.

This course provides core graduate training in critical research, argumentation, implementation, and communication skills. Through facilitated activity-based tutorials students will develop their research and project management skills, acquiring strategies to identify and articulate a research hypothesis, set research goals and plan their approach (including quantification of results and validation of quantitative metrics), and share research findings effectively via oral, written and graphical communication. Students will develop these skills while learning how to position themselves and their research for employment purposes.

Review of basic modelling leading to algebraic and ordinary differential equations. Models leading to partial differential equations. Vector analysis. Transport equations. Solution of equations by: Separation of variables, Laplace Transformation, Green's Functions, Method of Characteristics, Similarity Transformation, others time permitting. Practical illustrations and exercises applied to fluid mechanics, heat and mass transfer, reactor engineering, environmental problems and biomedical systems. Lecture notes provided.

The purpose of this course is to introduce a first year graduate level numerical methods course with an emphasis on applications in chemical engineering. The course will consist of three main topic areas relevant to chemical engineering, namely: 1) numerical integration, 2) optimization and 3) solution of partial differential equations. The skills developed for numerical integration are fundamental to many more complex problems in numerical methods relevant to chemical engineering. In this course, we will first focus on the solution of initial value problems (IVP) of ordinary differential equations (ODEs) as this is a building block for advanced numerical integration. Many chemical engineering problems require the solution of ODE-IVPs, most prominently, chemical reaction kinetics and simple fluid flow problems. Next, we will introduce basic concepts in numerical optimization. Numerical optimization is another fundamental tool utilized by numerical methods analysts and there are many chemical engineering problems that require the use of numerical optimization. Some examples include the prediction of the geometry of a molecule, optimization of plant processes and optimal control. Finally, we will explore numerical methods for solving PDEs. PDEs are fundamental to chemical engineering processes and in all but some very simple cases, numerical methods are required to arrive at approximate solutions. Classical examples in chemical engineering include fluid mechanics and heat and mass transfer.

An introduction and overview of bioenergy production technologies, including: first generation biochemical technologies to produce biofuels (e.g., from sugarcane, starch, and oilseeds). The course will then describe second generation technologies to produce biofuels (e.g., from lignocellulosics) followed by advanced technologies as well as the so-called "drop-in fuels." It will include the theory and process aspects of hydrogenation-derived renewable diesel. An overview of fuel properties will also be given. Finally the course will conclude with environmental impacts — benefits and issues, economic aspects as well as infrastructure requirements and trade-offs.

Components of biological networks, their biochemical properties and function along with the technology used for obtaining component lists will be emphasized. Top-down and bottom-up approach to modeling and reconstruction of chemical reaction networks along with biochemical networks, such as metabolic networks, regulatory networks, and signaling networks from data will be presented. Mathematical models of reconstructed reaction networks, and simulation of their emergent properties will be studied. The course will also cover classical kinetic theory, network simulation methods and constraints-based models of biochemical networks. Multi-scale modeling methods that integrate multiple cellular processes at different time and length scales will be emphasized. Existing biological models will be described and computations performed. Iterative methods for discovering novel biological function through comparison of model predictions and experimental data will be discussed in the context of Systems Biology and Bioengineering.

Radiation chemistry is the study of the chemical effects of electromagnetic radiation, radioactive particles, and fission fragments. Radiochemistry is concerned with the chemistry of molecules that incorporate radioactive atoms. This introductory course aims at explaining the physical and chemical mechanisms of radiation-related phenomena encountered in science and engineering. The following topics are covered: radiation physics; chemical effects of ionizing radiation on matter including radiolytic processes in gases and aqueous solutions; radioactivity; elements of radiochemistry including the synthesis of radioisotopically labeled compounds, isotopic exchange reactions, applications; hot-atom chemistry, and the chemical effects of nuclear transformations.

Building upon JCC1313H or equivalent, the aim of this course is to learn and apply engineering principles relevant to bioprocess engineering, including energetics and stoichiometry of cell growth, cell and enzyme kinetics, bioreactor design and monitoring, process data control, and bioseparation processes including membrane chromatographic technologies as well as approaches to cell fractionation. In addition to course lectures, students will complete two laboratory exercises that will provide hands-on learning in bioreactor set-up and use. Finally, the students will also learn how to analyze process data from bioprocesses and optimize them.

This course, designed for graduate students whose research is at the interface of Engineering and Biology, will review recent advances in molecular and analytical methods relevant to bioprocess engineering, environmental microbiology and biotechnology, biomedical engineering, and other related topics. Following fundamental instruction on specific molecular and analytical methods, students will be required to prepare a critical review of chosen, peer reviewed articles that demonstrate the utility of discussed methods for the advancement of bioengineering concepts and applications. Discussion of the scientific, technological, environmental, economic, legal, and ethical impacts of the research will follow.

While covering the basis of climate change, this course will focus on how policies and regulations help in addressing climate change issues specifically for the chemical and biochemical sector. For example, understanding how federal net-zero targets help in shaping individual sustainability targets for chemical/petrochemical/biochemical industries. Role of Provincial and Canadian clean fuel regulations in addressing climate change as well as evolution of liquid (ethanol, biodiesel, renewable diesel) and gaseous biofuels (renewable natural gas, hydrogen) will be discussed. The course will also cover the basis of life cycle analysis/carbon footprint and how these are used as metrics to comply with the regulations. Interaction among federal and provincial policies and their impact on economic and environment decision-making by stakeholders in the face of regulatory uncertainty will be covered. Additionally, the course will focus on broader policies such as carbon tax, output-based pricing systems, and waste diversion which have impacts on the chemical sector.

This second-level course in reactor design and analysis focuses upon the following topics: multiphase kinetics and catalysis; simultaneous diffusion and reaction, including an analysis using effectiveness factors and Thiele modulus; analysis of models of complex flow and mixing in reactors; reactor modelling; reactor performance and stability of operation for simple and complex kinetic schemes; design considerations for heterogeneous reactors; industrial and research applications of chemical reactors.

This course has the objective of reviewing the basic concepts of thermodynamics with specific applications to processes involving phase equilibrium or equilibrium in chemical reactions. The course is divided in three parts. In the first part we will review the laws of thermodynamics, and the thermodynamic properties and phase behavior of pure substances. In the second part we will review the thermodynamic properties in mixtures and multiphase equilibria in non-reactive systems. In the last part of the course we will review the energy balance and equilibrium in chemical reactions. The evaluation will consist of a midterm at the end of the review section, and a final exam that will evaluate the last two parts of the course. This course also involves a term project where the student uses some of these concepts in a specific example related to his/her thesis project.