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Applied and Computational Mathematics

Master of Science

¶¡ÏãÔ°AV Requirements

Applicants normally submit scores in the aptitude section and an appropriate advanced section of the Educational Testing Service’s graduate record examinations. Applicants with backgrounds in areas other than mathematics (for example, a bachelor’s degree or its equivalent in engineering or physics) may be considered suitably prepared for these programs.

Core Course Requirements

Normally courses that are cross-listed as undergraduate courses cannot be used to satisfy graduate course requirements.

Beyond all the courses the student completed for the bachelor's degree, the candidate will complete 24 units that consist of one of

APMA 900 - Asymptotic Analysis of Differential Equations (4)

Analysis and computation of classical problems from applied mathematics such as eigenfunction expansions, integral transforms, and stability and bifurcation analyses. Methods include perturbation, boundary layer and multiple-scale analyses, averaging and homogenization, integral asymptotics and complex variable methods as applied to differential equations.

APMA 901 - Partial Differential Equations (4)

First order non-linear partial differential equations (PDEs) and the method of characteristics. Hamilton-Jacobi equation and hyperbolic conservation laws; weak solutions. Second-order linear PDEs (Laplace, heat and wave equations); Green's functions. Sobolev spaces. Second-order elliptic PDEs; Lax-Milgram theorem.

and one of

APMA 920 - Numerical Linear Algebra (4)

Conditioning and stability of numerical methods for the solution of linear systems, direct factorization and iterative methods, least squares, and eigenvalue problems. Applications and mathematical software.

APMA 922 - Numerical Solution of Partial Differential Equations (4)

Analysis and application of numerical methods for solving partial differential equations. Potential topics include finite difference methods, spectral methods, finite element methods, and multi-level/multi-grid methods.

and one of

APMA 930 - Computational Fluid Dynamics (4)

Basic equations governing compressible and incompressible fluid mechanics. Finite difference and finite volume schemes for hyperbolic, elliptic, and parabolic partial differential equations. Practical applications in low Reynolds number flow, high-speed gas dynamics, and porous media flow. Software design and use of public-domain codes. Students with credit for MATH 930 may not complete this course for further credit.

Section Instructor Day/Time Location
Mary Catherine Kropinski
Jan 4 – Apr 7, 2017: Tue, Thu, 2:30–4:20 p.m.
Burnaby
APMA 935 - Analysis and Computation of Models (4)

Analysis of models from the natural and applied sciences via analytical, asymptotic and numerical studies of ordinary and partial differential equations.

and at least one other course from the above course lists that has not already been completed

and an additional eight graduate units.

Thesis Option

In addition to the core course requirements, the student should complete a satisfactory thesis normally involving a significant computational component, which is submitted and defended at an oral examination.

Project Option

In addition to the core course requirements, the student completes a further 4 units of graduate coursework. The student should also complete a project that normally involves a significant computational component, and requires a project report and a final presentation. The project component should normally be completed within one term, during which the student should register in MATH 880-6.

Academic Requirements within the Graduate General Regulations

All graduate students must satisfy the academic requirements that are specified in the , as well as the specific requirements for the program in which they are enrolled.