# Appendix A - Courses

## Mathematics

MATH*6010 Analysis U [0.50] | |
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Half the course covers metric spaces, normed linear spaces, and inner product spaces, including Banach's and Schauder's fixed point theorems, Lp spaces, Hilbert spaces and the projection theorem. The remaining content may include topics like operator theory, inverse problems, measure theory and spectral analysis. | |

Department(s): | Department of Mathematics and Statistics |

MATH*6011 Dynamical Systems I U [0.50] | |
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Basic theorems on existence, uniqueness and differentiability; phase space, flows, dynamical systems; review of linear systems, Floquet theory; Hopf bifurcation; perturbation theory and structural stability; differential equations on manifolds. Applications drawn from the biological, physical, and social sciences. | |

Department(s): | Department of Mathematics and Statistics |

MATH*6012 Dynamical Systems II U [0.50] | |
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The quantitative theory of dynamical systems defined by differential equations and discrete maps, including: generic properties; bifurcation theory; the center manifold theorem; nonlinear oscillations, phase locking and period doubling; the Birkhoff-Smale homoclinic theorem; strange attractors and deterministic chaos. | |

Department(s): | Department of Mathematics and Statistics |

MATH*6020 Scientific Computing U [0.50] | |
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This course covers the fundamentals of algoithms and computer programming. This may include computer arithmetic, complexity, error analysis, linear and nonlinear equations, least squares, interpolation, numerical differentiation and integration, optimization, random number generators, Monte Carlo simulation; case studies will be undertaken using modern software. | |

Department(s): | Department of Mathematics and Statistics |

MATH*6021 Optimization I U [0.50] | |
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A study of the basic concepts in: linear programming, convex programming, non-convex programming, geometric programming and related numerical methods. | |

Department(s): | Department of Mathematics and Statistics |

MATH*6022 Optimization II U [0.50] | |
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A study of the basic concepts in: calculus of variations, optimal control theory, dynamic programming and related numerical methods. | |

Department(s): | Department of Mathematics and Statistics |

MATH*6031 Functional Analysis U [0.50] | |
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Hilbert, Banach and metric spaces are covered including applications. The Baire Category theorem is covered along with its consequences such as the open mapping theorem, the principle of uniform boundedness and the closed graph theorem. The theory of linear functionals is discussed including the Hahn-Banach theorem, dual spaces, and if time permits, weak topologies or generalized functions. Basic operator theory is covered including topics such as adjoints, compact operators, the Frechet derivative and spectral theory. A brief introduction to the concepts of measure and integration required for some of the aforementioned topics is also included. Restriction: | |

Restriction(s): | Credit may be obtained for only one of MATH*4220 or MATH*6031 |

Department(s): | Department of Mathematics and Statistics |

MATH*6041 Partial Differential Equations I U [0.50] | |
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Classification of partial differential equations. The Hyperbolic type, the Cauchy problem, range of influence, well- and ill-posed problems, successive approximation, the Riemann function. The elliptic type: fundamental solutions, Dirichlet and Neumann problems. The parabolic type: boundary conditions, Green's functions and separation of variables. Introduction to certain non-linear equations and transformations methods. | |

Department(s): | Department of Mathematics and Statistics |

MATH*6042 Partial Differential Equations II U [0.50] | |
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A continuation of some of the topics of Partial Differential Equations I. Also, systems of partial differential equations, equations of mixed type and non-linear equations. | |

Department(s): | Department of Mathematics and Statistics |

MATH*6051 Mathematical Modelling U [0.50] | |
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The process of phenomena and systems model development, techniques of model analysis, model verification, and interpretation of results are presented. The examples of continuous or discrete, deterministic or probabilistic models may include differential equations, difference equations, cellular automata, agent based models, network models, stochastic processes. | |

Department(s): | Department of Mathematics and Statistics |

MATH*6071 Biomathematics U [0.50] | |
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The application of mathematics to model and analyze biological systems. Specific models to illustrate the different mathematical approaches employed when considering different levels of biological function. | |

Department(s): | Department of Mathematics and Statistics |

MATH*6091 Topics in Analysis U [0.50] | |
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Selected topics from topology, real analysis, complex analysis, and functional analysis. | |

Department(s): | Department of Mathematics and Statistics |

MATH*6181 Topics in Applied Mathematics I U [0.50] | |
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This course provides graduate students, either individually or in groups, with the opportunity to pursue topics in applied mathematics under the guidance of graduate faculty. Course topics will normally be advertised by faculty in the semester prior to their offering. Courses may be offered in any of lecture, reading/seminar, or individual project formats. | |

Department(s): | Department of Mathematics and Statistics |

MATH*6182 Topics in Applied Mathematics II U [0.50] | |
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This course provides graduate students, either individually or in groups, with the opportunity to pursue topics in applied mathematics under the guidance of graduate faculty. Course topics will normally be advertised by faculty in the semester prior to their offering. Courses may be offered in any of lecture, reading/seminar, or individual project formats. | |

Department(s): | Department of Mathematics and Statistics |

MATH*6400 Numerical Analysis I U [0.50] | |
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Topics selected from numerical problems in: matrix operations, interpolation, approximation theory, quadrature, ordinary differential equations, partial differential equations, integral equations, nonlinear algebraic and transcendental equations. | |

Department(s): | Department of Mathematics and Statistics |

MATH*6410 Numerical Analysis II U [0.50] | |
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One or more topics selected from those discussed in Numerical Analysis I, but in greater depth. | |

Department(s): | Department of Mathematics and Statistics |

MATH*6990 Mathematics Seminar U [0.00] | |
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Students will review mathematical literature and present a published paper. | |

Department(s): | Department of Mathematics and Statistics |

MATH*6998 MSc Project in Mathematics U [1.00] | |
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This course is intended for students in the course-based MSc program in Mathematics. The MSc project will be written under the supervision of a faculty member and will normally be completed within one or two semesters. Once completed, students will submit a final copy of their project to the Department and give an oral presentation of their work. | |

Restriction(s): | Restricted to MSC.MAST:L-MATH students in Mathematics |

Department(s): | Department of Mathematics and Statistics |