Program Requirements
Required Courses (70 credits)
BioPhysical Sciences Core

BIOL 219 Introduction to Physical Biology of the Cell (4 credits)
Overview
Biology (Sci) : This course is an introduction to molecular and cell biology, using a physical biology perspective. New technologies and methodologies, both experimental and computational, are embedded in the presentation of each topic.
Terms: Fall 2018
Instructors: Stephanie Weber, Gil Bub, Jacalyn Vogel, Adam Hendricks (Fall)
Prerequisite(s): 1 year of college calculus, chemistry, and physics or equivalents, BIOL 112 or equivalent
Restriction(s): Not open to students who have taken or are taking ANAT 212, BIOC 212, BIOL 200, and BIOL 201.
Restricted to students in Computer ScienceBiology, BiologyMathematics, PhysiologyPhysics, PhysiologyMathematics, BiologyQuantitative Biology, ChemistryBiophysical Chemistry, and PhysicsBiological Physics options.
This course is meant to prepare students for related 300level courses in Biology, Chemistry, Physics, etc.

BIOL 395 Quantitative Biology Seminar 1 (1 credit)
Overview
Biology (Sci) : Overview of concepts and current research in quantitative biology; theoretical ecology and evolution, computational biology, and physical biology.
Terms: Fall 2018
Instructors: Arnold Hayer, Kalle Burgess Gehring, Frederic Guichard, Tamara Western, Gary Brouhard, Claudia Kleinman, Marlene Oeffinger, Rodrigo Reyes Lamothe, Stephanie Weber (Fall)

MATH 222 Calculus 3 (3 credits)
Overview
Mathematics & Statistics (Sci) : Taylor series, Taylor's theorem in one and several variables. Review of vector geometry. Partial differentiation, directional derivative. Extreme of functions of 2 or 3 variables. Parametric curves and arc length. Polar and spherical coordinates. Multiple integrals.
Terms: Fall 2018, Winter 2019, Summer 2019
Instructors: Jeremy Macdonald, Dmitry Faifman (Fall) Lars Sektnan (Winter) Yann Batiste Pequignot (Summer)

MATH 223 Linear Algebra (3 credits) *
Overview
Mathematics & Statistics (Sci) : Review of matrix algebra, determinants and systems of linear equations. Vector spaces, linear operators and their matrix representations, orthogonality. Eigenvalues and eigenvectors, diagonalization of Hermitian matrices. Applications.
Terms: Fall 2018, Winter 2019
Instructors: Djivede Kelome (Fall) Jeremy Macdonald (Winter)

MATH 247 Honours Applied Linear Algebra (3 credits) *
Overview
Mathematics & Statistics (Sci) : Matrix algebra, determinants, systems of linear equations. Abstract vector spaces, inner product spaces, Fourier series. Linear transformations and their matrix representations. Eigenvalues and eigenvectors, diagonalizable and defective matrices, positive definite and semidefinite matrices. Quadratic and Hermitian forms, generalized eigenvalue problems, simultaneous reduction of quadratic forms. Applications.
Terms: Winter 2019
Instructors: Tim Hoheisel (Winter)

MATH 315 Ordinary Differential Equations (3 credits) **
Overview
Mathematics & Statistics (Sci) : First order ordinary differential equations including elementary numerical methods. Linear differential equations. Laplace transforms. Series solutions.
Terms: Fall 2018, Winter 2019, Summer 2019
Instructors: JeanChristophe Nave (Fall) Antony Raymond Humphries (Winter) Charles Roth (Summer)

MATH 323 Probability (3 credits)
Overview
Mathematics & Statistics (Sci) : Sample space, events, conditional probability, independence of events, Bayes' Theorem. Basic combinatorial probability, random variables, discrete and continuous univariate and multivariate distributions. Independence of random variables. Inequalities, weak law of large numbers, central limit theorem.
Terms: Fall 2018, Winter 2019, Summer 2019
Instructors: David Stephens (Fall) David B Wolfson (Winter) Djivede Kelome (Summer)

MATH 325 Honours Ordinary Differential Equations (3 credits) **
Overview
Mathematics & Statistics (Sci) : First and second order equations, linear equations, series solutions, Frobenius method, introduction to numerical methods and to linear systems, Laplace transforms, applications.
Terms: Winter 2019
Instructors: JeanPhilippe Lessard (Winter)
* Students may take either MATH 223 or MATH 247.
** Students may take either MATH 315 or MATH 325.
Physiology and Mathematics Core

BIOL 309 Mathematical Models in Biology (3 credits)
Overview
Biology (Sci) : Application of finite difference and differential equations to problems in cell and developmental biology, ecology and physiology. Qualitative, quantitative and graphical techniques are used to analyze mathematical models and to compare theoretical predictions with experimental data.
Terms: Fall 2018
Instructors: Gil Bub (Fall)
Fall
3 hours lecture
Prerequisite: one year of calculus. An additional course in calculus is recommended

BMDE 519 Biomedical Signals and Systems (3 credits)
Overview
Biomedical Engineering : An introduction to the theoretical framework, experimental techniques and analysis procedures available for the quantitative analysis of physiological systems and signals. Lectures plus laboratory work using the Biomedical Engineering computer system. Topics include: amplitude and frequency structure of signals, filtering, sampling, correlation functions, time and frequencydomain descriptions of systems.
Terms: Fall 2018
Instructors: Robert E Kearney (Fall)
(306)
Prerequisites: Satisfactory standing in U3 Honours Physiology; or U3 Major in PhysicsPhysiology; or U3 Major PhysiologyMathematics; or permission of instructor

MATH 242 Analysis 1 (3 credits)
Overview
Mathematics & Statistics (Sci) : A rigorous presentation of sequences and of real numbers and basic properties of continuous and differentiable functions on the real line.
Terms: Fall 2018
Instructors: Jerome Vetois (Fall)

MATH 243 Analysis 2 (3 credits)
Overview
Mathematics & Statistics (Sci) : Definition and properties of Riemann integral, Fundamental Theorem of Calculus, Taylor's theorem. Infinite series: alternating, telescoping series, rearrangements, conditional and absolute convergence, convergence tests. Power series and Taylor series. Elementary functions. Introduction to metric spaces.
Terms: Winter 2019
Instructors: Axel W Hundemer (Winter)

MATH 248 Honours Advanced Calculus (3 credits) ***
Overview
Mathematics & Statistics (Sci) : Partial derivatives; implicit functions; Jacobians; maxima and minima; Lagrange multipliers. Scalar and vector fields; orthogonal curvilinear coordinates. Multiple integrals; arc length, volume and surface area. Line integrals; Green's theorem; the divergence theorem. Stokes' theorem; irrotational and solenoidal fields; applications.
Terms: Fall 2018
Instructors: Pengfei Guan (Fall)

MATH 314 Advanced Calculus (3 credits) ***
Overview
Mathematics & Statistics (Sci) : Derivative as a matrix. Chain rule. Implicit functions. Constrained maxima and minima. Jacobians. Multiple integration. Line and surface integrals. Theorems of Green, Stokes and Gauss. Fourier series with applications.
Terms: Fall 2018, Winter 2019
Instructors: Charles Roth (Fall) Stephen W Drury (Winter)

MATH 317 Numerical Analysis (3 credits)
Overview
Mathematics & Statistics (Sci) : Error analysis. Numerical solutions of equations by iteration. Interpolation. Numerical differentiation and integration. Introduction to numerical solutions of differential equations.
Terms: Fall 2018
Instructors: Peter Bartello (Fall)

MATH 319 Introduction to Partial Differential Equations (3 credits)
Overview
Mathematics & Statistics (Sci) : First order equations, geometric theory; second order equations, classification; Laplace, wave and heat equations, SturmLiouville theory, Fourier series, boundary and initial value problems.
Terms: Winter 2019
Instructors: Jessica Lin (Winter)

MATH 324 Statistics (3 credits)
Overview
Mathematics & Statistics (Sci) : Sampling distributions, point and interval estimation, hypothesis testing, analysis of variance, contingency tables, nonparametric inference, regression, Bayesian inference.
Terms: Fall 2018, Winter 2019
Instructors: Abbas Khalili Mahmoudabadi (Fall) Masoud AsgharianDastenaei (Winter)
Fall and Winter
Prerequisite: MATH 323 or equivalent
Restriction: Not open to students who have taken or are taking MATH 357
You may not be able to receive credit for this course and other statistic courses. Be sure to check the Course Overlap section under Faculty Degree Requirements in the Arts or Science section of the Calendar.

MATH 326 Nonlinear Dynamics and Chaos (3 credits)
Overview
Mathematics & Statistics (Sci) : Linear systems of differential equations, linear stability theory. Nonlinear systems: existence and uniqueness, numerical methods, one and two dimensional flows, phase space, limit cycles, PoincareBendixson theorem, bifurcations, Hopf bifurcation, the Lorenz equations and chaos.
Terms: Fall 2018
Instructors: JeanPhilippe Lessard (Fall)

MATH 437 Mathematical Methods in Biology (3 credits)
Overview
Mathematics & Statistics (Sci) : The formulation and treatment of realistic mathematical models describing biological phenomena through qualitative and quantitative mathematical techniques (e.g. local and global stability theory, bifurcation analysis and phase plane analysis) and numerical simulation. Concrete and detailed examples will be drawn from molecular and cellular biology and mammalian physiology.
Terms: Winter 2019
Instructors: Anmar Khadra (Winter)

PHGY 209 Mammalian Physiology 1 (3 credits)
Overview
Physiology : Physiology of body fluids, blood, body defense mechanisms, muscle, peripheral, central, and autonomic nervous systems.
Terms: Fall 2018
Instructors: Melissa Vollrath, Phil Gold, Ann Wechsler, David S Ragsdale, Alvin Shrier, Erik Cook (Fall)
Fall
3 hours lectures weekly
Prerequisites: BIOL 112, CHEM 110, CHEM 120, PHYS 101 or PHYS 131, and PHYS 102 or PHYS 142. Pre/corequisites: BIOL 200, CHEM 212 or equivalent.
Restriction: Not open to students who have taken PHGY 211 or students who are taking and who have taken NSCI 200.
Restriction: For students in the Faculty of Science, and other students by permission of the instructor

PHGY 210 Mammalian Physiology 2 (3 credits)
Overview
Physiology : Physiology of cardiovascular, respiratory, digestive, endocrine and renal systems.
Terms: Winter 2019
Instructors: Melissa Vollrath, Lysanne Campeau, Tomoko Takano, Michael R Guevara, AnneMarie Lauzon, John H White (Winter)
Winter
3 hours lectures weekly
Prerequisites: BIOL 112, CHEM 110, CHEM 120, PHYS 101 or PHYS 131, and PHYS 102 or PHYS 142. Pre/corequisite: BIOL 200, BIOL 201, BIOC 212, CHEM 212 or equivalent.
Restriction: For students in the Faculty of Science, and other students by permission of the instructor
Although PHGY 210 may be taken without the prior passing of PHGY 209, students should note that they may have some initial difficulties because of lack of familiarity with some basic concepts introduced in PHGY 209

PHGY 212 Introductory Physiology Laboratory 1 (1 credit)
Overview
Physiology : Exercises illustrating fundamental principles in physiology: Biological Signals Acquisitions, Blood, Immunology, Neurophysiology, Neuromuscular Physiology.
Terms: Fall 2018
Instructors: Melissa Vollrath, Mladen I Glavinovic, Judith Mandl (Fall)
(One 3hour lab and one 1hour lecture every second week.)
Corequisite: PHGY 209.
Restrictions: Required for Physiology students enrolled in PHGY 209. Open to BA &Sc. students and to others by permission of the instructor. Not open to students who have taken PHGY 212D1/D2.
Note: For students in a Physiology program, PHGY 212 should be taken concurrently with PHGY 209.

PHGY 213 Introductory Physiology Laboratory 2 (1 credit)
Overview
Physiology : Exercises illustrating fundamental principles in physiology: Central Nervous System, Cardiovascular, Respiration, Exercise Physiology, Molecular Endocrinology.
Terms: Winter 2019
Instructors: Michael R Guevara, Jacopo Mortola, Sheldon A Magder, John H White, Melissa Vollrath (Winter)
(One 3hour lab and one 1hour lecture every second week.)
Prerequisite: PHGY 212
Corequisite: PHGY 210.
Restrictions: Required for Physiology students enrolled in PHGY 210. Open to BA &Sc. students and to others by permission of the instructor. Not open to students who have taken PHGY 212D1/D2.
Note: For students in a Physiology program, PHGY 213 should be taken concurrently with PHGY 210.

PHGY 312 Respiratory, Renal, & Cardiovascular Physiology (3 credits)
Overview
Physiology : Indepth presentation of experimental results and hypotheses underlying our current understanding of topics in renal, respiratory and cardiovascular functions explored beyond the introductory level.
Terms: Winter 2019
Instructors: John W Hanrahan, Jacopo Mortola, Alvin Shrier, Sheldon A Magder (Winter)

PHGY 313 Blood, Gastrointestinal, & Immune Systems Physiology (3 credits)
Overview
Physiology : Indepth presentation of experimental results and hypotheses underlying our current understanding of topics in immunology, blood and fluids, and gastrointestinal physiology.
Terms: Winter 2019
Instructors: Judith Mandl, Francois Mercier, Alexandre Orthwein, Maia Kokoeva, Melissa Vollrath, Jörg Fritz, Daniela Quail (Winter)

PHGY 461D1 Experimental Physiology (4.5 credits)
Overview
Physiology : Individual project work under the supervision of Departmental Staff members.
Terms: Fall 2018
Instructors: Ann Wechsler, Linda H Cooper, John Orlowski, Melissa Vollrath (Fall)
Fall
Restrictions: Departmental approval required. This course is a requirement for U3 students in the Honours Physiology program, the Major Program in Physiology and Mathematics, and the Major program in Physiology and Physics, and is open to a limited number of other U3 Physiology students.
Students must register for both PHGY 461D1 and PHGY 461D2.
No credit will be given for this course unless both PHGY 461D1 and PHGY 461D2 are successfully completed in consecutive terms

PHGY 461D2 Experimental Physiology (4.5 credits)
Overview
Physiology : See PHGY 461D1 for course description.
Terms: Winter 2019
Instructors: Ann Wechsler, John Orlowski, Melissa Vollrath (Winter)
Winter
Prerequisite: PHGY 461D1
No credit will be given for this course unless both PHGY 461D1 and PHGY 461D2 are successfully completed in consecutive terms
*** Students may take either MATH 248 or MATH 314.
Complementary Courses (9 credits)
3 credits, one of:

COMP 204 Computer Programming for Life Sciences (3 credits)
Overview
Computer Science (Sci) : Computer Science (Sci): Computer programming in a high level language: variables, expressions, types, functions, conditionals, loops, objects and classes. Introduction to algorithms, modular software design, libraries, file input/output, debugging. Emphasis on applications in the life sciences.
Terms: Fall 2018, Winter 2019
Instructors: Mathieu Blanchette (Fall) Yue Li (Winter)

COMP 250 Introduction to Computer Science (3 credits)
Overview
Computer Science (Sci) : Mathematical tools (binary numbers, induction, recurrence relations, asymptotic complexity, establishing correctness of programs), Data structures (arrays, stacks, queues, linked lists, trees, binary trees, binary search trees, heaps, hash tables), Recursive and nonrecursive algorithms (searching and sorting, tree and graph traversal). Abstract data types, inheritance. Selected topics.
Terms: Fall 2018, Winter 2019
Instructors: Michael Langer, Giulia Alberini (Fall) Martin Robillard, Giulia Alberini (Winter)
3 credits, one of:

PHGY 311 Channels, Synapses and Hormones (3 credits)
Overview
Physiology : Indepth presentation of experimental results and hypotheses on cellular communication in the nervous system and the endocrine system.
Terms: Fall 2018
Instructors: Ellis Cooper, Per Jesper Sjostrom, Arjun Krishnaswamy, Reza Sharif Naeini (Fall)
Fall
3 hours of lectures per week; 13 hours optional lab/demonstration/tutorial arranged for a maximum of 3 afternoons per term
Prerequisite: PHGY 209 or permission of the instructor.

PHGY 314 Integrative Neuroscience (3 credits)
Overview
Physiology : In depth presentation of experimental results and hypotheses underlying our current understanding of how single neurons and ensembles of neurons encode sensory information, generate movement, and control cognitive functions such as emotion, learning, and memory, during voluntary behaviours.
Terms: Fall 2018
Instructors: Maurice Chacron, Reza Sharif Naeini, Erik Cook, Christopher Pack, Amir Shmuel, Melissa Vollrath, Mark Brandon (Fall)
Fall
3 hours of lectures per week
Prerequisites: PHGY 209
3 credits, one of:

PHYS 413 Physical Basis of Physiology (3 credits)
Overview
Physics : Analytic and computer simulation techniques are used to examine the role of nonlinearities and time delays in determining the dynamic behaviour of physiological control systems and their relation to normal and pathophysiological states. Examples drawn from the control of respiration, cellular proliferation and differentiation, biochemical feedback networks, thermoregulatory mechanisms, and neural feedback.
Terms: This course is not scheduled for the 20182019 academic year.
Instructors: There are no professors associated with this course for the 20182019 academic year.

PHYS 519 Advanced Biophysics (3 credits)
Overview
Physics : An advanced biophysics course, with a special emphasis on stochastic and out of equilibrium physical processes in living matter.
Terms: Winter 2019
Instructors: Paul Francois (Winter)