Biology and Mathematics Major (B.Sc.) (76 credits)
Offered by: Biology (Faculty of Science)
Degree: Bachelor of Science
Program credit weight: 76
Program Description
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.
Degree Requirements — B.Sc.
This program is offered as part of a Bachelor of Science (B.Sc.) degree.
To graduate, students must satisfy both their program requirements and their degree requirements.
- The program requirements (i.e., the specific courses that make up this program) are listed under the Course Tab (above).
- The degree requirements—including the mandatory Foundation program, appropriate degree structure, and any additional components—are outlined on the Degree Requirements page.
Students are responsible for ensuring that this program fits within the overall structure of their degree and that all degree requirements are met. Consult the Degree Planning Guide on the SOUSA website for additional guidance.
Note: For information about Fall 2025 and Winter 2026 course offerings, please refer to Visual Schedule Builder. A technical issue is causing the "Terms offered" field to incorrectly report "this course is not currently offered" for many courses in the Course Catalogue.
Advising notes for U0 students: It is highly recommended that freshman BIOL, CHEM, MATH, and PHYS courses be selected with the Program Advisor 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
| Course | Title | Credits |
|---|---|---|
| BIOL 219 | Introduction to Physical Molecular and Cell Biology. | 4 |
Introduction to Physical Molecular and Cell Biology. Terms offered: this course is not currently offered. 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. | ||
| BIOL 301 | Cell and Molecular Laboratory. | 4 |
Cell and Molecular Laboratory. Terms offered: this course is not currently offered. 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. | ||
| BIOL 395 | Quantitative Biology Seminar. | 1 |
Quantitative Biology Seminar. Terms offered: this course is not currently offered. Overview of concepts and current research in quantitative biology; theoretical ecology and evolution, computational biology, and physical biology. | ||
| CHEM 212 | Introductory Organic Chemistry 1. 1 | 4 |
Introductory Organic Chemistry 1. Terms offered: Summer 2025 A fundamental study of aliphatic compounds and saturated functional groups including modern concepts of bonding, reaction mechanisms, conformational analysis, spectroscopy, and stereochemistry. | ||
| COMP 202 | Foundations of Programming. 2 | 3 |
Foundations of Programming. Terms offered: Summer 2025 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. | ||
| COMP 204 | Computer Programming for Life Sciences. | 3 |
Computer Programming for Life Sciences. Terms offered: this course is not currently offered. 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. | ||
| MATH 222 | Calculus 3. 1 | 3 |
Calculus 3. Terms offered: Summer 2025 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. | ||
| MATH 223 | Linear Algebra. 3 | 3 |
Linear Algebra. Terms offered: this course is not currently offered. 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. | ||
| MATH 247 | Honours Applied Linear Algebra. 3 | 3 |
Honours Applied Linear Algebra. Terms offered: this course is not currently offered. 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. | ||
| MATH 315 | Ordinary Differential Equations. | 3 |
Ordinary Differential Equations. Terms offered: this course is not currently offered. First order ordinary differential equations including elementary numerical methods. Linear differential equations. Laplace transforms. Series solutions. | ||
| MATH 323 | Probability. | 3 |
Probability. Terms offered: Summer 2025 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. | ||
- 1
If a student has already taken CHEM 212 Introductory Organic Chemistry 1. or its equivalent, or MATH 222 Calculus 3. or its equivalent, the credits can be made up with elective credits.
- 2
Students may take either COMP 202 Foundations of Programming. or COMP 204 Computer Programming for Life Sciences. Students who have sufficient knowledge in a programming language should take COMP 250 Introduction to Computer Science. rather than COMP 202.
- 3
Students may take either MATH 223 Linear Algebra. or MATH 247 Honours Applied Linear Algebra..
Biology and Mathematics Core
| Course | Title | Credits |
|---|---|---|
| BIOL 215 | Introduction to Ecology and Evolution. | 3 |
Introduction to Ecology and Evolution. Terms offered: this course is not currently offered. 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. | ||
| MATH 242 | Analysis 1. | 3 |
Analysis 1. Terms offered: this course is not currently offered. A rigorous presentation of sequences and of real numbers and basic properties of continuous and differentiable functions on the real line. | ||
| MATH 243 | Analysis 2. | 3 |
Analysis 2. Terms offered: this course is not currently offered. 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. | ||
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:
| Course | Title | Credits |
|---|---|---|
| BIOL 466 | Independent Research Project 1. | 3 |
Independent Research Project 1. Terms offered: this course is not currently offered. Independent research project. | ||
| BIOL 467 | Independent Research Project 2. | 3 |
Independent Research Project 2. Terms offered: this course is not currently offered. Independent research project. | ||
| BIOL 468 | Independent Research Project 3. | 6 |
Independent Research Project 3. Terms offered: this course is not currently offered. Independent research project. | ||
| MATH 410 | Majors Project. | 3 |
Of the remaining complementary courses, at least 6 credits must be at the 400 level or above.
Math Courses
15 credits (if MATH 410 Majors Project. 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:
| Course | Title | Credits |
|---|---|---|
| MATH 314 | Advanced Calculus. | 3 |
Advanced Calculus. Terms offered: this course is not currently offered. 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. | ||
| MATH 317 | Numerical Analysis. | 3 |
Numerical Analysis. Terms offered: this course is not currently offered. Error analysis. Numerical solutions of equations by iteration. Interpolation. Numerical differentiation and integration. Introduction to numerical solutions of differential equations. | ||
| MATH 319 | Partial Differential Equations . | 3 |
Partial Differential Equations . Terms offered: this course is not currently offered. First order equations, geometric theory; second order equations, classification; Laplace, wave and heat equations, Sturm-Liouville theory, Fourier series, boundary and initial value problems. | ||
| MATH 326 | Nonlinear Dynamics and Chaos. | 3 |
Nonlinear Dynamics and Chaos. Terms offered: this course is not currently offered. 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. | ||
Stream 2: Statistics
9-12 credits from the following:
| Course | Title | Credits |
|---|---|---|
| MATH 208 | Introduction to Statistical Computing. | 3 |
Introduction to Statistical Computing. Terms offered: this course is not currently offered. 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. | ||
| MATH 324 | Statistics. | 3 |
Statistics. Terms offered: this course is not currently offered. Sampling distributions, point and interval estimation, hypothesis testing, analysis of variance, contingency tables, nonparametric inference, regression, Bayesian inference. | ||
| MATH 423 | Applied Regression. | 3 |
Applied Regression. Terms offered: this course is not currently offered. 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. | ||
| MATH 447 | Introduction to Stochastic Processes. | 3 |
Introduction to Stochastic Processes. Terms offered: this course is not currently offered. 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. | ||
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:
| Course | Title | Credits |
|---|---|---|
| COMP 551 | Applied Machine Learning. | 4 |
Applied Machine Learning. Terms offered: this course is not currently offered. 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. | ||
| MATH 204 | Principles of Statistics 2. | 3 |
Principles of Statistics 2. Terms offered: this course is not currently offered. 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. | ||
| MATH 308 | Fundamentals of Statistical Learning. | 3 |
Fundamentals of Statistical Learning. Terms offered: this course is not currently offered. 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. | ||
| MATH 340 | Discrete Mathematics. | 3 |
Discrete Mathematics. Terms offered: this course is not currently offered. Discrete Mathematics and applications. Graph Theory: matchings, planarity, and colouring. Discrete probability. Combinatorics: enumeration, combinatorial techniques and proofs. | ||
| MATH 437 | Mathematical Methods in Biology. | 3 |
Mathematical Methods in Biology. Terms offered: this course is not currently offered. 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. | ||
| MATH 463 | Convex Optimization. | 3 |
Convex Optimization. Terms offered: this course is not currently offered. 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. | ||
| MATH 478 | Computational Methods in Applied Mathematics . | 3 |
Computational Methods in Applied Mathematics . Terms offered: this course is not currently offered. 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 | ||
| MATH 523 | Generalized Linear Models. | 4 |
Generalized Linear Models. Terms offered: this course is not currently offered. 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. | ||
| MATH 524 | Nonparametric Statistics. | 4 |
Nonparametric Statistics. Terms offered: this course is not currently offered. 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. | ||
| MATH 525 | Sampling Theory and Applications. | 4 |
Sampling Theory and Applications. Terms offered: this course is not currently offered. 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. | ||
| MATH 558 | Design of Experiments. | 4 |
Design of Experiments. Terms offered: this course is not currently offered. 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. | ||
| MATH 559 | Bayesian Theory and Methods. | 4 |
Bayesian Theory and Methods. Terms offered: this course is not currently offered. Subjective probability, Bayesian statistical inference and decision making, de Finetti’s 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—Hastings. Nonparametric Bayesian inference. | ||
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:
| Course | Title | Credits |
|---|---|---|
| BIOL 206 | Methods in Biology. | 3 |
Methods in Biology. Terms offered: this course is not currently offered. 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. | ||
3 credits from the following field courses or any other field course with permission:
| Course | Title | Credits |
|---|---|---|
| BIOL 240 | Monteregian Flora. | 3 |
Monteregian Flora. Terms offered: Summer 2025 Field studies of ferns, fern allies, conifers and flowering plants; the use of keys for plant identification. | ||
| BIOL 331 | Ecology/Behaviour Field Course. | 3 |
Ecology/Behaviour Field Course. Terms offered: Summer 2025 Methods of sampling natural populations. Testing hypotheses in nature. | ||
| BIOL 334D1 | Applied Tropical Ecology. | 1.5 |
Applied Tropical Ecology. Terms offered: this course is not currently offered. 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. | ||
| BIOL 334D2 | Applied Tropical Ecology. | 1.5 |
Applied Tropical Ecology. Terms offered: Summer 2025 See BIOL 334D1 for course description. | ||
| BIOL 432 | Limnology. | 3 |
Limnology. Terms offered: this course is not currently offered. A study of the physical, chemical and biological properties of lakes and other inland waters, with emphasis on their functioning as systems. | ||
| BIOL 573 | Vertebrate Palaeontology Field Course. | 3 |
Vertebrate Palaeontology Field Course. Terms offered: Summer 2025 Terrestrial vertebrate fossils (i.e. dinosaurs, crocodiles and other reptiles) and palaeocommunity analysis, including practical training with fossil identification, mapping, collecting, and stratigraphic interpretation. | ||
9-15 credits from:
| Course | Title | Credits |
|---|---|---|
| BIOL 202 | Basic Genetics. 1 | 3 |
Basic Genetics. Terms offered: this course is not currently offered. 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. | ||
| BIOL 205 | Functional Biology of Plants and Animals. | 3 |
Functional Biology of Plants and Animals. Terms offered: this course is not currently offered. 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. | ||
| BIOL 302 | Fundamentals of Genetics and Genomics. 1 | 3 |
Fundamentals of Genetics and Genomics. Terms offered: this course is not currently offered. 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. | ||
| BIOL 304 | Evolution. | 3 |
Evolution. Terms offered: this course is not currently offered. 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. | ||
| BIOL 305 | Animal Diversity. | 3 |
Animal Diversity. Terms offered: this course is not currently offered. 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. | ||
| BIOL 308 | Ecological Dynamics. | 3 |
Ecological Dynamics. Terms offered: this course is not currently offered. Principles of population, community, and ecosystem dynamics: population growth and regulation, species interactions, dynamics of competitive interactions and of predator/prey systems; evolutionary dynamics. | ||
| BIOL 310 | Biodiversity and Ecosystems. | 3 |
Biodiversity and Ecosystems. Terms offered: this course is not currently offered. 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. | ||
| BIOL 324 | Ecological Genetics. | 3 |
Ecological Genetics. Terms offered: this course is not currently offered. Presents evolutionary genetics within an ecological context. Covers theoretical and applied topics together with relevant data from natural populations of plant and animals. | ||
| BIOL 569 | Developmental Evolution. | 3 |
Developmental Evolution. Terms offered: this course is not currently offered. 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. | ||
| BIOL 594 | Advanced Evolutionary Ecology. | 3 |
Advanced Evolutionary Ecology. Terms offered: this course is not currently offered. 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. | ||
- 1
If chosen, students may take either BIOL 202 Basic Genetics. or BIOL 302 Fundamentals of Genetics and Genomics.
Molecular Evolution Stream
15-21 credits selected as follows:
3 credits from:
| Course | Title | Credits |
|---|---|---|
| BIOL 202 | Basic Genetics. | 3 |
Basic Genetics. Terms offered: this course is not currently offered. 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. | ||
| BIOL 302 | Fundamentals of Genetics and Genomics. | 3 |
Fundamentals of Genetics and Genomics. Terms offered: this course is not currently offered. 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. | ||
12-18 credits selected from the following list:
| Course | Title | Credits |
|---|---|---|
| BIOL 303 | Developmental Biology. | 3 |
Developmental Biology. Terms offered: this course is not currently offered. 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. | ||
| BIOL 304 | Evolution. | 3 |
Evolution. Terms offered: this course is not currently offered. 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. | ||
| BIOL 313 | Eukaryotic Cell Biology. | 3 |
Eukaryotic Cell Biology. Terms offered: this course is not currently offered. 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. | ||
| BIOL 518 | Advanced Topics in Cell Biology. | 3 |
Advanced Topics in Cell Biology. Terms offered: this course is not currently offered. 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. | ||
| BIOL 569 | Developmental Evolution. | 3 |
Developmental Evolution. Terms offered: this course is not currently offered. 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. | ||
| BIOL 592 | Integrated Bioinformatics. | 3 |
Integrated Bioinformatics. Terms offered: this course is not currently offered. '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. | ||
Neurosciences Stream
15-21 credits selected as follows:
6 credits from:
| Course | Title | Credits |
|---|---|---|
| BIOL 206 | Methods in Biology. | 3 |
Methods in Biology. Terms offered: this course is not currently offered. 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. | ||
| BIOL 306 | Neural Basis of Behaviour. | 3 |
Neural Basis of Behaviour. Terms offered: this course is not currently offered. Neural mechanisms of animal behaviour; neuroethology; cellular neurophysiology, integrative networks within nervous systems; neural control of movement; processing of sensory information. | ||
9-15 credits selected from:
| Course | Title | Credits |
|---|---|---|
| BIOL 320 | Evolution of Brain and Behaviour. | 3 |
Evolution of Brain and Behaviour. Terms offered: this course is not currently offered. Functional and comparative approach to neuroanatomy, examining how species changes in brain organization contribute to evolutionary changes in behaviour. | ||
| BIOL 389 | Laboratory in Neurobiology. | 3 |
Laboratory in Neurobiology. Terms offered: this course is not currently offered. Methods of neurobiological research, including extracellular and intracellular recordings, electrical stimulation, and the study of neuro-behavioural problems. | ||
| BIOL 530 | Advances in Neuroethology. | 3 |
Advances in Neuroethology. Terms offered: this course is not currently offered. Neural mechanisms underlying behaviour in vertebrate and invertebrate organisms. | ||
| BIOL 580 | Genetic Approaches to Neural Systems. | 3 |
Genetic Approaches to Neural Systems. Terms offered: this course is not currently offered. 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. | ||
| NEUR 310 | Cellular Neurobiology. | 3 |
Cellular Neurobiology. Terms offered: this course is not currently offered. 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. | ||
| NEUR 507 | Topics in Radionuclide Imaging. | 3 |
Topics in Radionuclide Imaging. Terms offered: this course is not currently offered. 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. | ||
| NEUR 570 | Human Brain Imaging. | 3 |
Human Brain Imaging. Terms offered: this course is not currently offered. 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. | ||
| PHGY 314 | Integrative Neuroscience. | 3 |
Integrative Neuroscience. Terms offered: this course is not currently offered. 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. | ||
| PHGY 425 | Analyzing Physiological Systems. | 3 |
Analyzing Physiological Systems. Terms offered: this course is not currently offered. 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. | ||
| PSYC 427 | Sensorimotor Neuroscience. | 3 |
Sensorimotor Neuroscience. Terms offered: this course is not currently offered. 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. | ||
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 Advisor.