Courses Offered

AM8000 – Graduate Seminar
This course extends over four academic terms (Fall and Winter of the first year and Fall and Winter of the second year. It is graded as a Pass or Fail course. All students are required to attend regularly as well as to participate.
Group A: Foundation Courses
AM8001 – Analysis and Probability
A selection from the following topics in Applied Analysis and Probability: curvilinear coordinates; contour integration; conformal mapping; Fourier series; eigenfunction expansions; measure spaces, integration, random variables and conditional expectation; random variables, modes of convergence, discrete time martingales and filtrations; Brownian motion, continuous time stochastic processes and martingales; stochastic calculus; stochastic and ordinary differential equations; introduction to partial differential equations.
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.
Group B: Core Courses
AM8101 – Principles and Techniques in Applied Mathematics, Part I
Integral Transform; Discrete Fourier Transforms; Asymptotic Expansions; Perturbation Methods; Calculus of Variations.
AM8102 – Principles and Techniques in Applied Mathematics, Part II
Numerical Methods; Numerical Linear Algebra; Numerical methods for ODEs; Numerical Methods for PDEs; Numerical Simulations.
Group C: Elective Courses
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, Exotic and Futures derivatives. Elements of Portfolio Management and Capital Asset Pricing Model are taken into account.
AM8202 – Digital Signals and Wavelets
Digital Signals; Wavelets; Adaptive Methods; Two and Three Dimensional Transforms; Applications
AM8203 – Topics in Functional Analysis
Normed Spaces; Fundamental Results; Hilbert Spaces; Calculus in Banach Spaces; Additional Topics
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.
AM8205 – Applied Statistical Methods
This course covers a wide variety of Statistical methods with application in Medicine, Engineering, 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.
AM8206 – Partial Differential Equations
Hyperbolic equations, weak solutions, shock formation, nonlinear waves, reaction-diffusion equations, traveling wave solutions, elliptic equations, numerical methods, applications.
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.
AM8208 – Topics in Mathematics
The Banach fixed point theorem and iterative methods, the Schauder fixed point theorem and compactness, ordinary differential equations in Banach spaces, predator-prey systems, epidemic disease models, differential calculus and the implicit function theorem, continuation with respect to a parameter, positive operators, nonexpansive operators and iterative methods, applications to ordinary differential equations, fractional differential equations, partial differential equations and integral equations.
AM8209 – Directed Studies in Math

- Students will also be able to use as electives other “approved graduate courses”. Namely, suitable graduate courses at Ryerson or other Ontario Universities, requiring approval from the Graduate Program Director.