Program Requirements
This program is built on a selection of mathematics and biology courses that recognize mathematical biology as a field of research, with two quantitative streams: Applied Mathematics and Statistics; and three streams within biology: Ecology and Evolutionary Biology, Molecular Evolution, and Neurosciences
Advising notes for U0 students: It is highly recommended that freshman BIOL, CHEM, MATH, and PHYS courses be selected with the Program Adviser to ensure they meet the core requirements of the program. This program is recommended for U1 students achieving a CGPA of 3.2 or better, and entering CEGEP students with a Math/Science R-score of 28.0 or better.
Required Courses (37 credits)
Bio-Physical Sciences Core
28 credits
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BIOL 219 Introduction to Physical
Molecular and Cell Biology (4 credits)
Overview
Biology (Sci) : An introduction to molecular and cell biology from a physical perspective. Techniques and methodologies, both experimental and computational, are included in the presentation of each thematic module.
Terms: Fall 2024
Instructors: Weber, Stephanie; Watt, Alanna; Reyes Lamothe, Rodrigo; Hendricks, Adam (Fall)
Prerequisite(s): BIOL 112; CHEM 110 and CHEM 120; MATH 140, MATH 141 and MATH 133; PHYS 131 and PHYS 142; or the equivalents of these courses.
Corequisite(s): MATH 222 or equivalent
Restriction(s): Not open to students who have taken or are taking ANAT 212, BIOC 212, BIOL 200, and BIOL 201, or BIEN 219. Only open to students in Bioengineering, Computer Science-Biology, Biology-Mathematics, Biology-Quantitative Biology, Chemistry-Biophysical Chemistry, and Physics-Biological Physics Options.
This course is meant to prepare students for related 300-level courses in Biology, Chemistry, Engineering and Physics.
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BIOL 301 Cell and Molecular Laboratory (4 credits)
Overview
Biology (Sci) : An introduction to biology research and communication with a focus on cell and molecular biology. Through conducting a series of project-based experiments and writing a final report, molecular and synthetic biology techniques such as gene cloning, manipulation, protein isolation and characterization and how research is conducted, analyzed and communicated will be addressed. In addition, an introduction to bioinformatics methods and their role in analysis will be provided.
Terms: Fall 2024, Winter 2025
Instructors: Hayer, Arnold; Harrison, Paul; Zheng, Huanquan; Leroux, Maxime (Fall) Zheng, Huanquan; Harrison, Paul; Leroux, Maxime; Hayer, Arnold (Winter)
Fall or Winter
1 hour lecture and one 6-hour laboratory
Prerequisites: BIOL 200, BIOL 201 (or ANAT 212/BIOC 212); or BIOL 219
Restrictions: Not open to students who have taken or are taking BIOC 300, or BIOC 220 and BIOC 320. Requires departmental approval.
For approval email maxime.leroux [at] mcgill.ca. Specify your ID number as well as the term and two lab day preferences.
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BIOL 395 Quantitative Biology Seminar (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 2024
Instructors: Fussmann, Gregor; Hendry, Andrew; Guichard, Frederic; Schmidt, Alexandra; Oeffinger, Marlene; Hendricks, Michael; Bui, Khanh Huy; Weber, Stephanie; Hayer, Arnold; Gerhold, Abigail (Fall)
Fall
Prerequisites: BIOL 219; or BIOL 200 plus BIOL 201 or ANAT 212 or BIOC 212; CHEM 212; COMP 202 or COMP 204 or COMP 250; MATH 222; or permission of instructor.
Restriction: Only open to U2 students in the following programs: B.Sc.; Major and Honours in Biology; Quantitative Biology, B.Sc.; Major and Honours Computer Science and Biology, B.Sc.; Major Biology and Mathematics, B.Sc.; Major Physiology and Mathematics, B.Sc.; Major Physiology and Physics, B.Sc.; Major and Honours Chemistry; Biophysical Chemistry, and B.Sc.; Major and Honours Physics; Biological Physics.
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CHEM 212 Introductory Organic Chemistry 1 (4 credits) *
Overview
Chemistry : A fundamental study of aliphatic compounds and saturated functional groups including modern concepts of bonding, reaction mechanisms, conformational analysis, spectroscopy, and stereochemistry.
Terms: Fall 2024
Instructors: Vlaho, Danielle; Huot, Mitchell; Sirjoosingh, Pallavi; Tsantrizos, Youla S; Pavelka, Laura; Luedtke, Nathan (Fall)
Fall, Summer
Restriction: Not open to students registered in Chemistry or Biochemistry. Not open to students who have taken or are taking CHEM 211, CHEM 242, or equivalent.
Each lab section is limited enrolment
Note: Some CEGEP programs provide equivalency for this course. For more information, please see the Department of Chemistry's Web page ().
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COMP 202 Foundations of Programming (3 credits) **
Overview
Computer Science (Sci) : Introduction to computer programming in a high level language: variables, expressions, primitive types, methods, conditionals, loops. Introduction to algorithms, data structures (arrays, strings), modular software design, libraries, file input/output, debugging, exception handling. Selected topics.
Terms: Fall 2024, Winter 2025, Summer 2025
Instructors: M'hiri, Faten (Fall) M'hiri, Faten (Winter)
3 hours
Restrictions: Not open to students who have taken or are taking COMP 204, COMP 208, or GEOG 333; not open to students who have taken or are taking COMP 206 or COMP 250.
COMP 202 is intended as a general introductory course, while COMP 204 is intended for students in life sciences, and COMP 208 is intended for students in physical sciences and engineering.
To take COMP 202, students should have a solid understanding of pre-calculus fundamentals such as polynomial, trigonometric, exponential, and logarithmic functions.
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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 2024, Winter 2025
Instructors: Becerra, David (Fall) Siddiqi, Kaleem (Winter)
Co-requisite: BIOL 112
Restrictions: Not open to students who have taken or are taking COMP 202, COMP 208, or GEOG 333; not open to students who have taken or are taking COMP 206 or COMP 250.
To take COMP 204, students should have a solid understanding of pre-calculus fundamentals such as polynomial, trigonometric, exponential, and logarithmic functions.
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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 2024, Winter 2025, Summer 2025
Instructors: Pym, Brent; Tageddine, Damien (Fall) Mazakian, Hovsep (Winter)
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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 2024, Winter 2025
Instructors: Elaidi, Shereen; Bellemare, Hugues (Fall) Macdonald, Jeremy (Winter)
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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 2025
Instructors: Hoheisel, Tim (Winter)
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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 2024, Winter 2025
Instructors: Paquette, Courtney (Fall) Kamran, Niky (Winter)
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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 2024, Winter 2025, Summer 2025
Instructors: Sajjad, Alia (Fall) Nadarajah, Tharshanna (Winter)
* If a student has already taken CHEM 212 or its equivalent, or MATH 222 or its equivalent, the credits can be made up with elective credits.
** Students may take either COMP 202 or COMP 204.
*** Students may take either MATH 223 or MATH 247.
Biology and Mathematics Core
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BIOL 215 Introduction to Ecology and Evolution (3 credits)
Overview
Biology (Sci) : An introduction to the fundamental processes of ecology and evolution that bear on the nature and diversity of organisms and the processes that govern their assembly into ecological communities and their roles in ecosystem function.
Terms: Fall 2024
Instructors: Price, Neil; Kassen, Rees; Fussmann, Gregor (Fall)
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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 2024
Instructors: Jakobson, Dmitry (Fall)
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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 2025
Instructors: Hundemer, Axel W (Winter)
Complementary Courses (39 credits)
For the 39 credits, students complete 21 credits of BIOL, NEUR, PHGY, PSYC courses including one of three streams (Ecology and Evolutionary Ecology, Molecular Evolution, Neurosciences) and 18 credits of MATH courses.
Math or Biology Research Course
Note: Students selecting a BIOL course count this toward their 21 credits of BIOL, NEUR, PHGY, PSYC courses while students selecting a MATH course count this toward their 18 credits of MATH courses.
3-6 credits from the following Math or Biology research courses:
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BIOL 466 Independent Research Project 1 (3 credits)
Overview
Biology (Sci) : Independent research project.
Terms: Fall 2024, Winter 2025, Summer 2025
Instructors: There are no professors associated with this course for the 2024-2025 academic year.
Fall, Winter or Summer
Prerequisite: BIOL 206 or BIOL 301 or other suitable laboratory course.
Restrictions: Open only to Biology students. Not open to students who have taken BIOL 477.
Note: Before registration, projects must be arranged individually with a PI in the Biology Department. Prior to registration, students fill out the application form at and email or bring it to nancy.nelson [at] mcgill.ca, or Nancy Nelson, Room N7/9B, Stewart Biology Building.
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BIOL 467 Independent Research Project 2 (3 credits)
Overview
Biology (Sci) : Independent research project.
Terms: Fall 2024, Winter 2025, Summer 2025
Instructors: There are no professors associated with this course for the 2024-2025 academic year.
Fall, Winter or Summer
Prerequisite: BIOL 206 or BIOL 301 or other suitable laboratory course.
Restrictions: Open only to Biology students. Not open to students who have taken BIOL 478.
Note: Before registration, projects must be arranged individually with a PI in the Biology Department. Prior to registration, students fill out the application form at and email or bring it to nancy.nelson [at] mcgill.ca, or Nancy Nelson, Room N7/9B, Stewart Biology Building.
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BIOL 468 Independent Research Project 3 (6 credits)
Overview
Biology (Sci) : Independent research project.
Terms: Fall 2024, Winter 2025, Summer 2025
Instructors: There are no professors associated with this course for the 2024-2025 academic year.
Fall, Winter or Summer
Prerequisite: BIOL 206 or BIOL 301 or other suitable laboratory course
Restriction: Open only to Biology students. Not open to students who have taken BIOL 471 or BIOL 471D1/D2.
Note: Before registration, projects must be arranged individually with a PI in the Biology Department. Prior to registration, students fill out the application form at and email or bring it to nancy.nelson [at] mcgill.ca, or Nancy Nelson, Room N7/9B, Stewart Biology Building.
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MATH 410 Majors Project (3 credits)
Overview
Mathematics & Statistics (Sci) : A supervised project.
Terms: Fall 2024, Winter 2025
Instructors: Khadra, Anmar; Nadarajah, Tharshanna; Correa, Jose Andres; Jakobson, Dmitry; Humphries, Tony; Paquette, Courtney; Sabok, Marcin; Sajjad, Alia; Khalili, Abbas (Fall) Kelome, Djivede (Winter)
Prerequisite: Students must have 21 completed credits of the required mathematics courses in their program, including all required 200 level mathematics courses.
Requires departmental approval.
Of the remaining complementary courses, at least 6 credits must be at the 400 level or above.
Math Courses
15 credits (if MATH 410 was selected as a research course) or 18 credits of MATH courses chosen from Stream 1 or 2 and from "Remaining Math Courses" as follows:
Stream 1: Applied Mathematics
9-12 credits from the following courses:
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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 2024, Winter 2025
Instructors: Martine, Gabriel (Fall) Borthwick, Jack Anthony (Winter)
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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 2024
Instructors: Duchesne, Gabriel William (Fall)
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MATH 319 Partial Differential
Equations
(3 credits)
Overview
Mathematics & Statistics (Sci) : First order equations, geometric theory; second order equations, classification; Laplace, wave and heat equations, Sturm-Liouville theory, Fourier series, boundary and initial value problems.
Terms: Winter 2025
Instructors: Lin, Jessica (Winter)
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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, Poincare-Bendixson theorem, bifurcations, Hopf bifurcation, the Lorenz equations and chaos.
Terms: Fall 2024
Instructors: Humphries, Tony (Fall)
Stream 2: Statistics
9 -12 credits from the following:
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MATH 208 Introduction to Statistical Computing (3 credits)
Overview
Mathematics & Statistics (Sci) : Basic data management. Data visualization. Exploratory data analysis and descriptive statistics. Writing functions. Simulation and parallel computing. Communication data and documenting code for reproducible research.
Terms: Fall 2024
Instructors: Lee, Kiwon (Fall)
Prerequisite(s): MATH 133
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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 2024, Winter 2025
Instructors: Nadarajah, Tharshanna (Fall) Asgharian, Masoud (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.
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MATH 423 Applied Regression (3 credits)
Overview
Mathematics & Statistics (Sci) : Multiple regression estimators and their properties. Hypothesis tests and confidence intervals. Analysis of variance. Prediction and prediction intervals. Model diagnostics. Model selection. Introduction to weighted least squares. Basic contingency table analysis. Introduction to logistic and Poisson regression. Applications to experimental and observational data.
Terms: Fall 2024
Instructors: Steele, Russell (Fall)
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MATH 447 Introduction to Stochastic Processes (3 credits)
Overview
Mathematics & Statistics (Sci) : Conditional probability and conditional expectation, generating functions. Branching processes and random walk. Markov chains, transition matrices, classification of states, ergodic theorem, examples. Birth and death processes, queueing theory.
Terms: Winter 2025
Instructors: Paquette, Elliot (Winter)
Remaining Math Courses
Remaining 3-9 credits of MATH courses may be chosen from any of the two preceding sequences and/or from the following list
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COMP 551 Applied Machine Learning (4 credits)
Overview
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.
Terms: Fall 2024, Winter 2025
Instructors: Pr茅mont-Schwarz, Isabeau; Rabbany, Reihaneh (Fall) Li, Yue (Winter)
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MATH 204 Principles of Statistics 2 (3 credits)
Overview
Mathematics & Statistics (Sci) : The concept of degrees of freedom and the analysis of variability. Planning of experiments. Experimental designs. Polynomial and multiple regressions. Statistical computer packages (no previous computing experience is needed). General statistical procedures requiring few assumptions about the probability model.
Terms: Winter 2025
Instructors: Nadarajah, Tharshanna (Winter)
Winter
Prerequisite: MATH 203 or equivalent. No calculus prerequisites
Restriction: This course is intended for students in all disciplines. For extensive course restrictions covering statistics courses see Section 3.6.1 of the Arts and of the Science sections of the calendar regarding course overlaps.
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.
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MATH 308 Fundamentals of Statistical Learning (3 credits)
Overview
Mathematics & Statistics (Sci) : Theory and application of various techniques for the exploration and analysis of multivariate data: principal component analysis, correspondence analysis, and other visualization and dimensionality reduction techniques; supervised and unsupervised learning; linear discriminant analysis, and clustering techniques. Data applications using appropriate software.
Terms: Winter 2025
Instructors: Yang, Archer Yi (Winter)
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MATH 340 Discrete
Mathematics (3 credits)
Overview
Mathematics & Statistics (Sci) : Discrete Mathematics and applications. Graph Theory: matchings, planarity, and colouring. Discrete probability. Combinatorics: enumeration, combinatorial techniques and proofs.
Terms: Winter 2025
Instructors: Norin, Sergey (Winter)
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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 2025
Instructors: Khadra, Anmar (Winter)
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MATH 463 Convex Optimization (3 credits)
Overview
Mathematics & Statistics (Sci) : Introduction to convex analysis and convex optimization: Convex sets and functions, subdifferential calculus, conjugate functions, Fenchel duality, proximal calculus. Subgradient methods, proximal-based methods. Conditional gradient method, ADMM. Applications including data classification, network-flow problems, image processing, convex feasibility problems, DC optimization, sparse optimization, and compressed sensing.
Terms: Winter 2025
Instructors: Paquette, Courtney (Winter)
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MATH 478 Computational Methods in Applied Mathematics
(3 credits)
Overview
Mathematics & Statistics (Sci) : Solution to initial value problems: Linear, Nonlinear Finite Difference Methods: accuracy and stability, Lax equivalence theorem, CFL and von Neumann conditions, Fourier analysis: diffusion, dissipation, dispersion, and spectral methods. Solution of large sparse linear systems: iterative methods, preconditioning, incomplete LU, multigrid, Krylov subspaces, conjugate gradient method. Applications to, e.g., weighted least squares, duality, constrained minimization, calculus of variation, inverse problems, regularization, level set methods, Navier-Stokes equations
Terms: Winter 2025
Instructors: Nave, Jean-Christophe (Winter)
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MATH 523 Generalized Linear Models (4 credits)
Overview
Mathematics & Statistics (Sci) : Exponential families, link functions. Inference and parameter estimation for generalized linear models; model selection using analysis of deviance. Residuals. Contingency table analysis, logistic regression, multinomial regression, Poisson regression, log-linear models. Multinomial models. Overdispersion and Quasilikelihood. Applications to experimental and observational data.
Terms: Winter 2025
Instructors: Steele, Russell (Winter)
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MATH 524 Nonparametric Statistics (4 credits)
Overview
Mathematics & Statistics (Sci) : Distribution free procedures for 2-sample problem: Wilcoxon rank sum, Siegel-Tukey, Smirnov tests. Shift model: power and estimation. Single sample procedures: Sign, Wilcoxon signed rank tests. Nonparametric ANOVA: Kruskal-Wallis, Friedman tests. Association: Spearman's rank correlation, Kendall's tau. Goodness of fit: Pearson's chi-square, likelihood ratio, Kolmogorov-Smirnov tests. Statistical software packages used.
Terms: Fall 2024
Instructors: Genest, Christian (Fall)
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MATH 525 Sampling Theory and Applications (4 credits)
Overview
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.
Terms: Winter 2025
Instructors: Dagdoug, Mohamed Mehdi (Winter)
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MATH 558 Design of Experiments (4 credits)
Overview
Mathematics & Statistics (Sci) : Introduction to concepts in statistically designed experiments. Randomization and replication. Completely randomized designs. Simple linear model and analysis of variance. Introduction to blocking. Orthogonal block designs. Models and analysis for block designs. Factorial designs and their analysis. Row-column designs. Latin squares. Model and analysis for fixed row and column effects. Split-plot designs, model and analysis. Relations and operations on factors. Orthogonal factors. Orthogonal decomposition. Orthogonal plot structures. Hasse diagrams. Applications to real data and ethical issues.
Terms: Winter 2025
Instructors: Sajjad, Alia (Winter)
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MATH 559 Bayesian Theory and Methods (4 credits)
Overview
Mathematics & Statistics (Sci) : Subjective probability, Bayesian statistical inference and decision making, de Finetti鈥檚 representation. Bayesian parametric methods, optimal decisions, conjugate models, methods of prior specification and elicitation, approximation methods. Hierarchical models. Computational approaches to inference, Markov chain Monte Carlo methods, Metropolis鈥擧astings. Nonparametric Bayesian inference.
Terms: This course is not scheduled for the 2024-2025 academic year.
Instructors: There are no professors associated with this course for the 2024-2025 academic year.
BIOL, NEUR, PHGY, PHYS, PSYC Courses
18 credits (if 3 credit BIOL course was selected as a research course) or 15 credits (if 6 credit BIOL research course was selected) of BIOL, NEUR, PHGY, PHYS, PSYC courses including one of three streams.
Note: Some courses in the streams may have prerequisites.
Ecology and Evolutionary Biology Stream
15-21 credits selected as follows:
3 credits from:
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BIOL 206 Methods in Biology (3 credits)
Overview
Biology (Sci) : Introduction to modern methods used in organismal biology, including ecological sampling, experimental methods and statistics. Particular emphasis is on ways of thinking about the design of sampling programs and the analyses of data to test hypotheses using observational or experimental data.
Terms: Fall 2024
Instructors: Pollock, Laura; Larsson, Hans Carl; Turney, Shaun (Fall)
Fall
1. 2 hours lecture, 2. 3 hours laboratory
Prerequisite: BIOL 111 or equivalent
3 credits from the following field courses or any other field course with permission:
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BIOL 240 Monteregian Flora (3 credits)
Overview
Biology (Sci) : Field studies of ferns, fern allies, conifers and flowering plants; the use of keys for plant identification.
Terms: Summer 2025
Instructors: Millien, Virginie (Summer)
Prerequisite: BIOL 111 or permission
Restriction: Not open to students who have taken PLNT 358
Note: Taught at the Gault Nature Reserve. Contact instructor for specific dates, logistics: (virginie.millien [at] mcgill.ca).
This course is offered in the summer.
This course, given at the University鈥檚 Gault Nature Reserve in Mont St. Hilaire, has an additional fee of $485.56 which includes a hand lens, a textbook, handouts, lodging and supper each day.
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BIOL 331 Ecology/Behaviour Field Course (3 credits)
Overview
Biology (Sci) : Methods of sampling natural populations. Testing hypotheses in nature.
Terms: This course is not scheduled for the 2024-2025 academic year.
Instructors: There are no professors associated with this course for the 2024-2025 academic year.
Prerequisites: BIOL 206 and BIOL 215, or equivalents, or permission of the instructor.
Note: This course has an additional fee. The Department of Biology subsidizes a portion of the cost for this activity.
The field portion of this course is given at the University鈥檚 Gault Nature Reserve in Mont St. Hilare over a two-week period in the summer term. In the summer, students prepare a report based on projects carried out during this field portion. There is an additional fee of $688.37 that covers room and board and handouts. This fee could be refundable if the department approves it.
**Due to the intensive nature of this course, the standard add/drop and withdrawal deadlines do not apply. Add/drop is the third lecture day and withdrawal is the sixth lecture day.
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BIOL 334D1 Applied Tropical Ecology (1.5 credits)
Overview
Biology (Sci) : Relevant to agriculture, forestry, fisheries and conservation of natural resources. Field component taught at the University's Bellairs Research Institute in Barbados, for two weeks in early May. The course is organized in a series of small-group field projects of 2-3 days each. Interested students should check the course website, attend the full information session and fill out an application form.
Terms: Winter 2025
Instructors: Guichard, Frederic; Nilson, Laura (Winter)
Winter, Summer
Prerequisites: BIOL 206; and BIOL 215 or both ENVR 200 and ENVR 202; and permission of the instructor.
Students must register for both BIOL 334D1 and BIOL 334D2.
No credit will be given for this course unless both BIOL 334D1 and BIOL 334D2 are successfully completed in consecutive terms
BIOL 334D1 and BIOL 334D2 together are equivalent to BIOL 334
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BIOL 334D2 Applied Tropical Ecology (1.5 credits)
Overview
Biology (Sci) : See BIOL 334D1 for course description.
Terms: Summer 2025
Instructors: There are no professors associated with this course for the 2024-2025 academic year.
Winter, Summer
Prerequisites: BIOL 206; and BIOL 215 or both ENVR 200 and ENVR 202; and permission of the instructor.
Students must register for both BIOL 334D1 and BIOL 334D2.
No credit will be given for this course unless both BIOL 334D1 and BIOL 334D2 are successfully completed in consecutive terms
This course, given in Barbados, has an additional fee of $1,847.31 to cover the costs of room and board at Bellairs Research Institute, the course pack and all other expenses during the course. It does not cover tuition, airfare, flight insurance, airport taxes, meals in transit, or the cost of supplementary health insurance. The fee is only refundable prior to the deadline to withdraw with full refund
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BIOL 432 Limnology (3 credits)
Overview
Biology (Sci) : A study of the physical, chemical and biological properties of lakes and other inland waters, with emphasis on their functioning as systems.
Terms: Fall 2024
Instructors: Iversen, Lars Lonsmann; Gregory-Eaves, Irene (Fall)
Fall
3 hours lecture
Prerequisites: BIOL 206 and BIOL 215 or permission of instructor.
Restrictions: Not open to students who have taken or are taking ENVB 315.
This course, involving two field weekends, has an additional fee of $353.32, which includes room and board and transportation. The fee is refundable during the period where a student can drop the course with full refund. The Department of Biology subsidizes a portion of the cost for this activity.
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BIOL 573 Vertebrate Palaeontology Field Course (3 credits)
Overview
Biology (Sci) : Terrestrial vertebrate fossils (i.e. dinosaurs, crocodiles and other reptiles) and palaeocommunity analysis, including practical training with fossil identification, mapping, collecting, and stratigraphic interpretation.
Terms: This course is not scheduled for the 2024-2025 academic year.
Instructors: There are no professors associated with this course for the 2024-2025 academic year.
Summer
Prerequisites: BIOL 304 and BIOL 352 or permission of instructor.
Notes: Spring field course with completed project and presentation by the end of the Summer. Given in a selected Late Cretaceous Alberta and/or Saskatchewan site. Enrolment limited to 15 students.
This course, given at selected localities in Alberta and/or Saskatchewan in May, has an additional fee of $1,500.00 which includes room and board, museum entrance fees, and transportation during the course, but not tuition or transportation to western Canada.
This course is offered in the summer.
9-15 credits from:
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BIOL 202 Basic Genetics (3 credits) *
Overview
Biology (Sci) : Introduction to basic principles, and to modern advances, problems and applications in the genetics of higher and lower organisms with examples representative of the biological sciences.
Terms: Winter 2025
Instructors: Moon, Nam Sung; Nilson, Laura; Schoen, Daniel J; Hipfner, David; Champetier, Serge (Winter)
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BIOL 205 Functional Biology of Plants and Animals (3 credits)
Overview
Biology (Sci) : Unified view of form and function in animals and plants. Focus on how the laws of chemistry and physics illuminate biological processes relating to the acquisition of energy and materials and their use in movement, growth, development, reproduction and responses to environmental stress.
Terms: Winter 2025
Instructors: Sakata, Jon; Barrett, Rowan; Soper, Fiona (Winter)
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BIOL 302 Fundamentals of Genetics and Genomics (3 credits) *
Overview
Biology (Sci) : Trait variation within and across populations and species,and how this reflects variation within genomes. Case studies and problem-solving approaches will be used to illustrate the tools of genomics, molecular genetics and classical genetics, and how they are employed to understand the mechanisms of phenotypic variation.Topics will include evolutionary, developmental and human genetics. Application of multiple levels of genetic analysis, formulation, and testing of hypotheses on critical topics ranging from evolution to developmental biology to human genetics.
Terms: Fall 2024
Instructors: Schoen, Daniel J; Lasko, Paul; Western, Tamara; Brule, Veronique (Fall)
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BIOL 304 Evolution (3 credits)
Overview
Biology (Sci) : A comprehensive introduction to evolutionary biology. It covers both short-term and long-term evolutionary processes. Topics include the history of life, the origin of species, adaptation, natural selection and sexual selection.
Terms: Fall 2024
Instructors: Hendry, Andrew; Larsson, Hans Carl (Fall)
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BIOL 305 Animal Diversity (3 credits)
Overview
Biology (Sci) : The characteristics of the major groups of animals, their ancestry, history and relationship to one another. The processes of speciation, adaptive radiation and extinction responsible for diversity. Methods for constructing of phylogenies, for comparing phenotypes, and for estimating and analyzing diversity.
Terms: Winter 2025
Instructors: Barrett, Rowan; Larsson, Hans Carl; Bell, Graham; Turney, Shaun; Fussmann, Gregor (Winter)
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BIOL 308 Ecological Dynamics (3 credits)
Overview
Biology (Sci) : Principles of population, community, and ecosystem dynamics: population growth and regulation, species interactions, dynamics of competitive interactions and of predator/prey systems; evolutionary dynamics.
Terms: Fall 2024
Instructors: Guichard, Frederic; Fussmann, Gregor (Fall)
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BIOL 310 Biodiversity and Ecosystems (3 credits)
Overview
Biology (Sci) : Ecological bases of the natural causes and consequences of current global environmental changes, including how biodiversity and ecosystem processes are defined and measured, how they vary in space and time, how they are affected by physical and biological factors, and how they affect each other and human societies.
Terms: Winter 2025
Instructors: Pollock, Laura; Iversen, Lars Lonsmann (Winter)
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BIOL 324 Ecological Genetics (3 credits)
Overview
Biology (Sci) : Presents evolutionary genetics within an ecological context. Covers theoretical and applied topics together with relevant data from natural populations of plant and animals.
Terms: This course is not scheduled for the 2024-2025 academic year.
Instructors: There are no professors associated with this course for the 2024-2025 academic year.
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BIOL 434 Theoretical Ecology (3 credits)
Overview
Biology (Sci) : Study of theoretical ecology and of mathematical tools available to explore the dynamical behaviour of model populations, communities and ecosystems. Models addressing major ecological theories including population stability, community dynamics and ecosystem functioning, epidemic and disturbance dynamics, spatial models, game theory.
Terms: This course is not scheduled for the 2024-2025 academic year.
Instructors: There are no professors associated with this course for the 2024-2025 academic year.
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BIOL 509 Methods in Molecular Ecology (3 credits)
Overview
Biology (Sci) : An overview of the molecular genetic tools used to investigate ecological and evolutionary processes in natural populations. The use of molecular tools in studies of population structure, parentage, kinship, species boundaries, phylogenetics. Special topics include conservation genetics, population genetics, and ecological genomics.
Terms: This course is not scheduled for the 2024-2025 academic year.
Instructors: There are no professors associated with this course for the 2024-2025 academic year.
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BIOL 569 Developmental Evolution (3 credits)
Overview
Biology (Sci) : The influence of developmental mechanisms on evolution. This course draws on recent examples from plants and invertebrate and vertebrate animals. Topics include homology, modularity, dissociation, co-option, evolutionary novelty, evolution of cis-regulation and gene regulatory networks, developmental constraint and evolvability, heterochrony, phenotypic plasticity, and canalization.
Terms: This course is not scheduled for the 2024-2025 academic year.
Instructors: There are no professors associated with this course for the 2024-2025 academic year.
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BIOL 594 Advanced Evolutionary Ecology (3 credits)
Overview
Biology (Sci) : Evolutionary ecology is the study of evolutionary change in natural populations. General predictive approaches in evolutionary ecology, including population genetics, quantitative genetics, optimality, and game theory will be examined. Emphasis will be placed on the mathematical underpinnings of each approach, particularly as they relate to classic and contemporary problems.
Terms: Fall 2024
Instructors: Hendry, Andrew (Fall)
*If chosen, students may take either BIOL 202 or BIOL 302.
Molecular Evolution Stream
15-21 credits selected as follows:
3 credits from:
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BIOL 202 Basic Genetics (3 credits) *
Overview
Biology (Sci) : Introduction to basic principles, and to modern advances, problems and applications in the genetics of higher and lower organisms with examples representative of the biological sciences.
Terms: Winter 2025
Instructors: Moon, Nam Sung; Nilson, Laura; Schoen, Daniel J; Hipfner, David; Champetier, Serge (Winter)
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BIOL 302 Fundamentals of Genetics and Genomics (3 credits) *
Overview
Biology (Sci) : Trait variation within and across populations and species,and how this reflects variation within genomes. Case studies and problem-solving approaches will be used to illustrate the tools of genomics, molecular genetics and classical genetics, and how they are employed to understand the mechanisms of phenotypic variation.Topics will include evolutionary, developmental and human genetics. Application of multiple levels of genetic analysis, formulation, and testing of hypotheses on critical topics ranging from evolution to developmental biology to human genetics.
Terms: Fall 2024
Instructors: Schoen, Daniel J; Lasko, Paul; Western, Tamara; Brule, Veronique (Fall)
12-18 credits selected from:
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BIOL 303 Developmental Biology (3 credits)
Overview
Biology (Sci) : A consideration of the fundamental processes and principles operating during embryogenesis. Experimental analyses at the molecular, cellular, and organismal levels will be presented and discussed to provide an overall appreciation of developmental phenomena.
Terms: Winter 2025
Instructors: Gerhold, Abigail; Rao, Yong; Dufort, Daniel (Winter)
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BIOL 304 Evolution (3 credits)
Overview
Biology (Sci) : A comprehensive introduction to evolutionary biology. It covers both short-term and long-term evolutionary processes. Topics include the history of life, the origin of species, adaptation, natural selection and sexual selection.
Terms: Fall 2024
Instructors: Hendry, Andrew; Larsson, Hans Carl (Fall)
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BIOL 313 Eukaryotic Cell Biology (3 credits)
Overview
Biology (Sci) : In-depth examination of the structure and function of eukaryotic cells, with an emphasis on experimental design and interpretation. Examination of the molecular mechanisms of various cellular processes, including protein homeostasis, intracellular transport, cytoskeletal dynamics, multicellular organization and cell proliferation.
Terms: Winter 2025
Instructors: Weber, Stephanie (Winter)
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BIOL 518 Advanced Topics in Cell Biology (3 credits)
Overview
Biology (Sci) : Concepts and mechanisms in advanced cell biology, based on genetic, cell biological, biophysical, and computational studies. Emphasis is placed on processes that are evolutionarily conserved, with examples from model organisms and cell-free (in vitro) approaches.
Terms: Winter 2025
Instructors: Harrison, Paul; Lasko, Paul; Brouhard, Gary (Winter)
Winter
3 hours seminar
Prerequisite: BIOL 313 or permission
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BIOL 569 Developmental Evolution (3 credits)
Overview
Biology (Sci) : The influence of developmental mechanisms on evolution. This course draws on recent examples from plants and invertebrate and vertebrate animals. Topics include homology, modularity, dissociation, co-option, evolutionary novelty, evolution of cis-regulation and gene regulatory networks, developmental constraint and evolvability, heterochrony, phenotypic plasticity, and canalization.
Terms: This course is not scheduled for the 2024-2025 academic year.
Instructors: There are no professors associated with this course for the 2024-2025 academic year.
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BIOL 592 Integrated Bioinformatics (3 credits)
Overview
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.
Terms: Fall 2024
Instructors: Harrison, Paul (Fall)
Neurosciences Stream
15-21 credits selected as follows:
6 credits from:
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BIOL 216 Biology of Behaviour (3 credits)
Overview
Biology (Sci) : Introduction to the study of animal behaviour at the population, organismal, cellular, and molecular levels. Historical and contemporary methods and experiments will be presented and discussed to provide an overall appreciation of the biology of behaviour, with a focus on the application of multiple levels of analysis to biological phenomena and the formulation of hypotheses about evolution, development, function, and mechanisms of behavioural traits. Topics will range from how animals communicate with one another to the cellular mechanisms that allow information to be processed by nervous systems.
Terms: Winter 2025
Instructors: Hendricks, Michael; Woolley, Sarah; Guigueno, M茅lanie (Winter)
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BIOL 306 Neural Basis of Behaviour (3 credits)
Overview
Biology (Sci) : Neural mechanisms of animal behaviour; neuroethology; cellular neurophysiology, integrative networks within nervous systems; neural control of movement; processing of sensory information.
Terms: Fall 2024
Instructors: Sakata, Jon; Dent, Joseph Alan (Fall)
9-15 credits selected from:
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BIOL 320 Evolution of Brain and Behaviour (3 credits)
Overview
Biology (Sci) : Functional and comparative approach to neuroanatomy, examining how species changes in brain organization contribute to evolutionary changes in behaviour.
Terms: Winter 2025
Instructors: Woolley, Sarah; Sakata, Jon (Winter)
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BIOL 389 Laboratory in Neurobiology (3 credits)
Overview
Biology (Sci) : Methods of neurobiological research, including extracellular and intracellular recordings, electrical stimulation, and the study of neuro-behavioural problems.
Terms: Winter 2025
Instructors: Dent, Joseph Alan; Watt, Alanna; Oyama, Tomoko; Hendricks, Michael; Tritsch, Nicolas (Winter)
- BIOL 530 Advances in Neuroethology (3 credits)
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BIOL 580 Genetic Approaches to Neural Systems (3 credits)
Overview
Biology (Sci) : This course will focus on recent research employing genetic-based methods to examine the functional and structural properties of the nervous system. The focus will be on approaches for studying neural circuits and behavior in a range of model organisms. Topics will include recent technological advances, such as optogenetics for modifying and controlling neuronal activity, and animal models of neurological diseases. Students will critically analyze the application of these methods to current research through in-class discussion of primary literature, student presentations, and written assignments.
Terms: Winter 2025
Instructors: Watt, Alanna; Hendricks, Michael (Winter)
Prerequisite(s): BIOL 306 or permission of the instructors.
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NEUR 310 Cellular Neurobiology (3 credits)
Overview
Neurology and Neurosurgery : A survey of the functional organization of nerve cells, signalling in the nervous system, and principles of neural development. Topics include cell polarity, neurotransmitters, neurotrophins, receptors and second messengers, cell lineage, guidance of axon outgrowth, and nerve regeneration. Emphasis will be placed on analysis of neurons at the molecular level.
Terms: Winter 2025
Instructors: Cloutier, Jean-Francois; Ragsdale, David S; Kennedy, Timothy E; Fournier, Alyson Elise; Sossin, Wayne Steven; Ruthazer, Edward; Fortin, Jerome (Winter)
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NEUR 507 Topics in Radionuclide Imaging (3 credits)
Overview
Neurology and Neurosurgery : The course deals with neuroreceptor and oncologic imaging and imaging of cerebral bloodflow and metabolism. The role of radiochemistry and physics will be demonstrated in the context of clinical and research applications. Understanding how radiochemistry and physics intermingle with the medical aspects of radiotracer development will result in a deeper insight into the complex pathways of tracer design and the methods necessary to properly interpret the data obtained.
Terms: Fall 2024
Instructors: Kostikov, Alexey; Rosa, Pedro; Soucy, Jean-Paul; Thiel, Alexander; Anazodo, Udunna; Rusjan, Pablo (Fall)
Fall
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NEUR 570 Human Brain Imaging (3 credits)
Overview
Neurology and Neurosurgery : Current methods that are used to investigate human brain structure and function will be discussed with an emphasis on Magnetic Resonance-based techniques including functional Magnetic Resonance Imaging, Magnetic Resonance Spectroscopy, and Diffusion Tensor Imaging.
Terms: This course is not scheduled for the 2024-2025 academic year.
Instructors: There are no professors associated with this course for the 2024-2025 academic year.
Prerequisite: Permission of the instructor.
Restriction: Students must be enrolled in the Integrated Program in Neuroscience (IPN) graduate program at 成人VR视频. 成人VR视频 students enrolled in other graduate programs as well as undergraduate students and students from other universities are encouraged to apply and should contact the course instructors.
Contact hours: by appointment - please contact any of the responsible instructors by email
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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 2024
Instructors: Chacron, Maurice; Pack, Christopher; Shmuel, Amir; Vollrath, Melissa; Lomber, Stephen; Brandon, Mark; Bashivan, Pouya (Fall)
Fall
3 hours of lectures per week
Prerequisites: PHGY 209
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PHGY 425 Analyzing Physiological Systems (3 credits)
Overview
Physiology : An introduction to quantitative analysis of physiological data, both to the mode of thinking and to a set of tools that allows accurate predictions of biological systems. Examples will range from oscillating genetic networks to understanding higher brain function. Modelling and data analysis through examples and exercises will be emphasized.
Terms: Fall 2024
Instructors: Cook, Erik; Glavinovic, Mladen I; Baker, Curtis L; Bashivan, Pouya (Fall)
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PHGY 552 Cellular and Molecular Physiology (3 credits)
Overview
Physiology : Discussions of recent significant advances in our understanding of the gene products involved in diverse cellular signalling pathways. Topics will include cell-surface hormone receptors, nuclear steroid hormone receptors, and ion channels and transporters. Students will present and critically evaluate experimental approaches, results and interpretations of selected research publications.
Terms: Winter 2025
Instructors: Orlowski, John; White, John H; Stochaj, Ursula; Bernard, Daniel (Winter)
Winter
1 hour lecture, 2 hours seminar weekly
Prerequisite: PHGY 311
Preference will be given to Physiology Honours and Graduate students
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PSYC 427 Sensorimotor Neuroscience (3 credits)
Overview
Psychology : A systematic examination of the sensorimotor system, drawing on models and data from both behavioural and physiological studies. Topics include: cortical motor areas, cerebellum, basal ganglia, spinal mechanisms, motor unit properties and force production, prioception, muscle properties.
Terms: Winter 2025
Instructors: Ostry, David J (Winter)
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PSYT 455 Neurochemistry (3 credits)
Overview
Psychiatry : Covers biochemical mechanisms underlying central nervous system function. Introduces basic neuroanatomy, CNS cell types and morphology, neuronal excitability, chemically mediated transmission, glial function. Biochemistry of specific neurotransmitters, endocrine effects on brain, brain energy metabolism and cerebral ischemia (stroke). With examples, where relevant, of biochemical processes disrupted in human CNS disease.
Terms: This course is not scheduled for the 2024-2025 academic year.
Instructors: There are no professors associated with this course for the 2024-2025 academic year.
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PSYT 502 Brain Evolution and Psychiatry (3 credits)
Overview
Psychiatry : The course will focus on the transcendental importance of evolution of nervous systems for normal and pathological behaviour. Studies of allomeric brain growth and recent evolutionary theories of brain organization as they relate to normal and abnormal behaviour will be emphasized.
Terms: This course is not scheduled for the 2024-2025 academic year.
Instructors: There are no professors associated with this course for the 2024-2025 academic year.
Fall
Prerequisites: BIOL 115 or equivalent as authorized by instructor
Remaining BIOL, NEUR, PHGY, PSYC
For the remaining BIOL, NEUR, PHGY, PSYC complementary course credits, if any, students top up their credits to the necessary 18-21 credits with any course listed in the above three streams. Other relevant courses may be substituted with the approval of the Program Adviser.
