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Course Lists
Our graduate programs include milestones (required elements in the program, but not delivered in a formal classroom setting with traditional course format), as well as core, foundational and elective courses. Below are descriptions for each course offered within the department.
MSc Program Course Descriptions
| Course Name | Course Description | Credit |
|---|---|---|
| Master’s Thesis | This is a “Milestone”. | Pass/Fail |
| Major Research Paper | This is a “Milestone”. | Pass/Fail |
| AM8000 Master’s Seminar |
The course consists of regular research seminars in the general area of applied mathematics, given by graduate students, faculty members, visiting scholars, and guest speakers. In order to pass this course, each student is normally expected to attend seminars during each term in the program, for a maximum of four terms, and to give one presentation. | Pass/Fail |
| Course Name | Course Description | Credit |
|---|---|---|
| AM8001 Analysis and Probability |
Topics to be covered will be taken from the following list: metric spaces, Banach and Hilbert Spaces, measure spaces, integration, functional spaces and operators, random variables and conditional expectation; modes of convergence, discrete time martingales and filtrations; Brownian motion, continuous time stochastic processes and martingales; stochastic calculus. | 1 Credit |
| AM8002 Discrete Mathematics and its Applications |
Selected topics from discrete mathematics: graph isomorphisms and homomorphisms; Ramsey theory, random graphs; infinite graphs; automorphism groups; graph searching games (such as Cops and Robbers); Steiner triple systems; graph decompositions; Latin squares; finite fields; polynomial rings; finite projective and affine planes. | 1 Credit |
| Course Name | Course Description | Credit |
|---|---|---|
| AM8101 Principles and Techniques in Applied Mathematics |
Asymptotic Expansions; Perturbation Methods; Eigenfunction Expansions; Integral Transforms; Discrete Fourier Transforms. | 1 Credit |
| AM8102 Advanced Numerical Analysis |
Numerical methods; numerical linear algebra; numerical methods for ODEs; numerical methods for PDEs. |
1 Credit |
| Course Name | Course Description | Credit |
|---|---|---|
| AM8201 Financial Mathematics |
This course covers the fundamentals of mathematical methods in finance. After providing a background in Stochastic Calculus, it considers the study of financial derivatives. Fixed income instruments, derivative pricing in discrete and continuous time, including Black-Scholes formulation, American and Exotic options are considered. Elements of Portfolio Management and Capital Asset Pricing Model are also taken into account. | 1 Credit |
| AM8204 Topics in Discrete Mathematics |
Selected advanced topics from discrete mathematics: random graphs; models of complex networks; homomorphisms and constraint satisfaction; adjacency properties; Ramsey theory; graph searching games; Latin squares; designs, coverings, arrays, and their applications. | 1 Credit |
| AM8205 Applied Statistical Methods |
This course covers a wide variety of statistical methods with application in medicine, engineering, and economics. Exploratory data analysis. Parametric probability distributions. Sampling and experimental designs. Estimation, confidence intervals and tests of hypothesis. Analysis of variance. Multiple regression analysis, tests for normality. Nonparametric statistics. Statistical analysis of time series; ARMA and GARCH processes. Practical techniques for the analysis of multivariate data; principal components, factor analysis. | 1 Credit |
| AM8206 Partial Differential Equations |
Topics to be covered will be taken from the following list: Derivation of equations from conservation laws; First-order Equations and the Method of Characteristics; Weak Solutions; Hyperbolic Systems; Diffusion and Reaction-Diffusion Equations; Traveling Wave Solutions; Elliptic Equations. | 1 Credit |
| AM8207 Topics in Biomathematics |
Discrete and continuous time processes applied to biology and chemistry. Deterministic and stochastic descriptions for birth/death processes in chemical kinetics. Numerical methods for spatially distributed systems including multi- species reaction-diffusion equations. Applications will include some or all of: chemical waves, traveling wave fronts in excitable media, spiral waves, pattern formation, blood flow and flow in chemical reactors. | 1 Credit |
| AM8208 Topics in Mathematics |
The topics in this course will vary each time it is offered as it will depend on the professor teaching it and the topics that interest the students. | 1 Credit |
| AM8209 Directed Studies in Mathematics |
This course is for students who wish to gain knowledge in a specific area for which no graduate level classes are available. Students who are approved to take the course are assigned a suitable class advisor most familiar with the proposed content. Students are required to present the work of one term (not less than 90 hours in the form of directed research, tutorials and individual study) in an organized format. | 1 Credit |
| AM8210 Mathematical Biology |
Linear and nonlinear differential equations, Routh-Hurwitz criteria, local stability, phase-plane analysis, bifurcations and global stability. Applications including some of predator-prey models, epidemic models, competition models and spruce budworm models. New journal research papers related to these models. | 1 Credit |
| AM8211 Operations Research |
Nonlinear Programming, Decision Making, Inventory Models, Markov Chains, Queuing Theory, Dynamic Programming, Simulation. Antirequisite: MTH603 | 1 Credit |
| AM8212 Introduction to Fluid Dynamics |
We derive equations governing fluid flows from the basic physical conservation laws. Exact analytic solutions to various elementary flow problems are obtained. We consider viscous flow, irrotational flow, boundary layers and water waves. Flow instability will also be examined. Mathematical results are related to phenomena observed in aerodynamics, flow through conduits and geophysical flows. Antirequisite: MTH732 | 1 Credit |
| AM8213 Financial Mathematics II | The course covers fixed income derivatives and the quantitative aspects of risk and portfolio management in modern finance. It introduces single factor interest rate models and pricing and covers analysis of risk measures and their properties, market, credit risk and an overview of other types of risks. The course also develops portfolio optimization techniques. Case studies and preparation for financial certification programs (FRM and PRM) are also included. Antirequisite: MTH800 | 1 Credit |
| AM8214 Computational Complexity |
Order of Growth notation, time and space complexities of DTMs and NDTMs, intractability, basic complexity classes, P=NP?, reducibility and completeness, NP-completeness, Cook's theorem, hierarchy results, circuit complexity, probabilistic algorithms, models for parallel computation. Antirequisite: MTH814 | 1 Credit |
| AM8215 Stochastic Processes |
This course provides a brief and broad introduction to various important stochastic processes that lie at the heart of stochastic analysis and modelling. Topics to be covered include Bernoulli processes, random walks, Poisson processes, Markov processes, Martingales, Brownian motions. | 1 Credit |
PhD Program Course Descriptions
| Course Name | Course Description | Credit |
|---|---|---|
| Candidacy Examination (Doctoral) | This is a “Milestone”. | Pass/Fail |
| Doctoral Dissertation | This is a “Milestone”. | Pass/Fail |
| Course Name | Course Description | Credit |
|---|---|---|
| AM8001 Analysis and Probability |
Topics to be covered will be taken from the following list: metric spaces, Banach and Hilbert Spaces, measure spaces, integration, functional spaces and operators, random variables and conditional expectation; modes of convergence, discrete time martingales and filtrations; Brownian motion, continuous time stochastic processes and martingales; stochastic calculus. | 1 Credit |
| AM8002 Discrete Mathematics and its Applications |
Selected topics from discrete mathematics: graph isomorphisms and homomorphisms; Ramsey theory, random graphs; infinite graphs; automorphism groups; graph searching games (such as Cops and Robbers); Steiner triple systems; graph decompositions; Latin squares; finite fields; polynomial rings; finite projective and affine planes. | 1 Credit |
| AM8101 Principles and Techniques in Applied Math |
Asymptotic Expansions; Perturbation Methods; Eigenfunction Expansions; Integral Transforms; Discrete Fourier Transforms. | 1 Credit |
| AM8102 Advanced Numerical Analysis |
Numerical methods; numerical linear algebra; numerical methods for ODEs; numerical methods for PDEs. | 1 Credit |
| AM8205 Applied Statistical Methods |
This course covers a wide variety of statistical methods with application in medicine, engineering, and economics. Exploratory data analysis. Parametric probability distributions. Sampling and experimental designs. Estimation, confidence intervals and tests of hypothesis. Analysis of variance. Multiple regression analysis, tests for normality. Nonparametric statistics. Statistical analysis of time series; ARMA and GARCH processes. Practical techniques for the analysis of multivariate data; principal components, factor analysis. | 1 Credit |
| AM8206 Partial Differential Equations |
Topics to be covered will be taken from the following list: Derivation of equations from conservation laws; First-order Equations and the Method of Characteristics; Weak Solutions; Hyperbolic Systems; Diffusion and Reaction-Diffusion Equations; Traveling Wave Solutions; Elliptic Equations. | 1 Credit |
| AM8208 Topics in Mathematics |
The topics in this course will vary each time it is offered as it will depend on the professor teaching it and the topics that interest the students. | 1 Credit |
| AM8210 Mathematical Biology |
Linear and nonlinear differential equations, Routh-Hurwitz criteria, local stability, phase-plane analysis, bifurcations and global stability. Applications including some of predator-prey models, epidemic models, competition models and spruce budworm models. New journal research papers related to these models. | 1 Credit |
| AM8211 Operations Research |
Nonlinear Programming, Decision Making, Inventory Models, Markov Chains, Queuing Theory, Dynamic Programming, Simulation. Antirequisite: MTH603 | 1 Credit |
| AM8212 Introduction to Fluid Dynamics |
We derive equations governing fluid flows from the basic physical conservation laws. Exact analytic solutions to various elementary flow problems are obtained. We consider viscous flow, irrotational flow, boundary layers and water waves. Flow instability will also be examined. Mathematical results are related to phenomena observed in aerodynamics, flow through conduits and geophysical flows. Antirequisite: MTH732 | 1 Credit |
| AM8213 Financial Mathematics II | The course covers fixed income derivatives and the quantitative aspects of risk and portfolio management in modern finance. It introduces single factor interest rate models and pricing and covers analysis of risk measures and their properties, market, credit risk and an overview of other types of risks. The course also develops portfolio optimization techniques. Case studies and preparation for financial certification programs (FRM and PRM) are also included. Antirequisite: MTH800 | 1 Credit |
| AM8214 Computational Complexity |
Order of Growth notation, time and space complexities of DTMs and NDTMs, intractability, basic complexity classes, P=NP?, reducibility and completeness, NP-completeness, Cook's theorem, hierarchy results, circuit complexity, probabilistic algorithms, models for parallel computation. Antirequisite: MTH814 | 1 Credit |
| AM8215 Stochastic Processes |
This course provides a brief and broad introduction to various important stochastic processes that lie at the heart of stochastic analysis and modelling. Topics to be covered include Bernoulli processes, random walks, Poisson processes, Markov processes, Martingales, Brownian motions. | 1 Credit |
| AM9000 PhD Seminar |
This course features presentations by guest speakers and PhD students. All students are required to attend and actively participate in seminars during each term in the program, for a maximum of six terms. Students will present two seminars, one of which will be on their dissertation, normally in their final year. This course aims to improve the communication skills of students. | Pass/Fail |
| AM9001 Advanced Topics in Discrete Mathematics |
A selection of topics from Discrete Mathematics: probabilistic method, random graph models such as binomial random graphs and random regular graphs; models of complex networks such as preferential attachment, ranking, geometric, and copying models; graph searching problems such as Cops and Robbers games, graph cleaning, and firefighting; designs, coverings, arrays, and their applications; homomorphisms and constraint satisfaction problems; combinatorial optimization problems on graphs and approximation algorithms. | 1 Credit |
| AM9002 Advanced Topics in Financial Mathematics |
A selection of topics from the following topics in Financial Mathematics: Arbitrage pricing. Completeness and Hedging. The Martingale Approach to Arbitrage. Incomplete Markets. Exotic Derivatives. Interest Rate Models. Stochastic calculus for general semi-martingales. Levy processes. Advanced portfolio risk management. Dynamic risk measures. Advanced Credit Risk Models. | 1 Credit |
| AM9003 Advanced Topics in Biomathematics and Fluids |
A selection of topics from Mathematical Biology and Fluid Dynamics: Review of basic fluid dynamics; hydrodynamic stability theory; mathematical modeling of blood ow and thin-film flows; biochemical networks; probability models; stochastic simulation; Markov processes; chemical and biochemical kinetics; The fixed point index, nonlinear eigenvalue problems, bifurcation, nonlinear elliptic boundary value problems; population models. | 1 Credit |
| AM9004 Dir. Studies Math Model/Method |
This course is for PhD students who wish to gain knowledge in a specific area for which no graduate level classes are available. Students who are approved to take the course are assigned a suitable class advisor most familiar with the proposed content. Students are required to present the work of one term (not less than 90 hours in the form of directed research, tutorials and individual study) in an organized format. | 1 Credit |