Note: In order to find a course in the new 4 digit numbering system using an old 3 digit number, please refer to the conversion list below. Before registering for courses with the new 4 digit numbering system, please ensure that you have not previously taken the course in its 3 digit form.
Click here for conversion list of former 3digit course numbers.



Applied Mathematics
1411A/B 
Linear Algebra for Engineers

Matrix operations, systems of linear equations, linear spaces and transformations, determinants, eigenvalues and eigenvectors, applications of interest to Engineers including diagonalization of matrices, quadratic forms, orthogonal transformations.
Antirequisite(s):
Prerequisite(s):
Ontario Secondary School MHF4U or MCV4U, the former Ontario Secondary
School MGA4U, the former Mathematics 017a/b, the former Ontario Secondary School MCB4U or Mathematics 0110A/B.
Corequisite(s):
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Applied Mathematics
1413 
Applied Mathematics for Engineers I

The calculus of functions of one and more variables with emphasis on applications in Engineering.
Prerequisite(s):
One or more of Ontario Secondary School MHF4U, MCV4U, the former Ontario Secondary School MCB4U or Mathematics 0110A/B.
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Applied Mathematics
2411 
Applied Mathematics for Engineering II

This course is intended to be taken by Chemical and Civil Engineering students. Topics include ordinary differential equations, Laplace transforms, multiple integrals, introduction to partial differential equations, and Fourier Series.
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Applied Mathematics
2413 
Applied Mathematical and Numerical Methods for Mechanical Engineering

Topics include: Introduction to Matlab; numerical differentiation and integration; numerical linear algebra; ordinary differential equations including higher order systems and numerical solutions; interpolation and approximation; multiple integrals and vector integral theorems.
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Applied Mathematics
2415 
Applied Mathematical Methods for Electrical and Software Engineering I

Topics include: ordinary differential equations methods including Laplace transforms; Fourier series and transforms; multiple integration; vector fields, line integrals; vector calculus including Green's and Stokes's theorems; computer applications.
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Applied Mathematics
2503A/B 
Advanced Mathematics for Statistics

Modelling deterministic systems with differential equations. Laplace transforms. Moment generating functions. Review of matrices. Eigenvalues and eigenvectors, systems of linear differential equations. Markov processes.
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Applied Mathematics
2811B 
Linear Algebra II

Vector space examples. Inner products, orthogonal sets including Legendre polynomials, trigonometric functions, wavelets. Projections, least squares, normal equations, Fourier approximations. Eigenvalue problems, diagonalization, defective matrices. Coupled difference and differential equations; applications such as predatorprey, business competition, coupled oscillators. Singular value decomposition, image approximations. Linear transformations, graphics.
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Applied Mathematics
2813B 
Numerical Analysis

Introduction to numerical analysis; polynomial interpolation, numerical integration, matrix computations, linear systems, nonlinear equations and optimization, the initial value problem. Assignments using a computer and the software package, Matlab, are an important component of this course.
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Applied Mathematics
3129A/B 
Introduction to Continuum Mechanics

Introduction to Continuum Mechanics. The concept of a continuum. Derivation of the fundamental equations describing a continuum. Application to fluids and solids.
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Applied Mathematics
3151A/B 
Classical Mechanics I

This course provides students with the tools to tackle more complex problems than those covered in introductory mechanics. D'Alembert's principle, principle of least action, Lagrange's equations, Hamilton's equations, Poisson brackets, canonical transformations, central forces, rigid bodies, oscillations. Optional topics including: special relativity, HamiltonJacobi theory, constrained systems, field theory.
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Applied Mathematics
3413A/B 
Applied Mathematics for Mechanical Engineers

Topics include: Fourier series, integrals and transforms; boundary value problems in cartesian coordinates; separation of variables; Fourier and Laplace methods of solution.
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Applied Mathematics
3415A/B 
Applied Mathematics for Electrical Engineering II

Topics Include: numerical methods; introduction to complex analysis; complex integration; boundary value problems in cartesian coordinates; separation of variables; Fourier series and transform methods of solution.
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Applied Mathematics
3613B 
Mathematics of Financial Options

An introduction to modern financial mathematics using a differential equations approach. Stochastic differential equations and their related partial differential equations. The FokkerPlanck and Kolmogorov PDEs. Noarbitrage pricing, the BlackScholes equation and its solutions. American options. Exotic options.
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Applied Mathematics
3615A/B 
Mathematical Biology

An introduction to mathematical biology. Case studies from neuroscience, immunology, medical imaging, cell biology, molecular evolution and ecology will give an overview of this diverse field, illustrating standard mathematical approaches such as compartmental analysis and evolutionary game theory.
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Applied Mathematics
3811A/B 
Complex Variables with Applications

Functions of a complex variable, analytic functions, integration in the complex plane, Taylor and Laurent series, analytic continuation, Cauchy's theorem, evaluation of integrals using residue theory, applications to Laplace transforms, conformal mapping and its applications.
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Applied Mathematics
3813A/B 
Nonlinear Ordinary Differential Equations and Chaos

Existence and uniqueness of solutions, phase space, singular points, stability, periodic attractors, PoincaréBendixson theorem, examples from physics, biology and engineering, frequency (phase) locking, parametric resonance, Floquet theory, stability of periodic solutions, strange attractors and chaos, Lyapunov exponents, chaos in nature, fractals.
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Applied Mathematics
3815A/B 
Partial Differential Equations I

Boundary value problems for Laplace, heat, and wave equations; derivation of equations; separation of variables; Fourier series; SturmLiouville Theory; eigenfunction expansions; cylindrical and spherical problems; Legendre and Bessel functions; spherical harmonics; Fourier and Laplace transforms.
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Applied Mathematics
3817A/B 
Optimization

An introduction to linear programming, simplex method, duality theory and sensitivity analysis, formulating linear programming models, nonlinear optimization, unconstrained and constrained optimization, quadratic programming. Applications.
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Applied Mathematics
3911F/G 
Modelling and Simulation

Basic principles of modelling and simulation, description and treatment of deterministic and random processes, computational methods and applications with emphasis on the use of computers. The course includes a major project.
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Applied Mathematics
4129A/B 
Fluid Dynamics

An introduction to ideal and viscous incompressible flows. Some exact and selfsimilar solutions of Navier Stokes equations, Boundary layer theory and Blasius solution.
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Applied Mathematics
4151A/B 
Advanced Classical Mechanics II

Hamilton's equations, canonical transformations, symplectic space, Poisson brackets, integrability, Liouville's theorem, HamiltonJacobi theory, chaos, classical field theory.
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Applied Mathematics
4251A 
Quantum Mechanics II

Quantum mechanical description of angular momentum; SternGehrlach experiment and electron spin; addition of angular momenta; full separation of variables treatment of the hydrogen atom Schrodinger equation; time independent nondegenerate and degenerate perturbation theory; fermions, antisymmetry, and the helium atom; timedependent perturbation theory, Fermi golden rule, and radiative transitions.
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Applied Mathematics
4253B 
Quantum Mechanics III

Scattering theory, partial wave analysis, and phase shifts; Dirac equation and the magnetic moment of the electron; many particle systems and fermigas applications such as atomic nuclei, white dwarfs, and neutron stars; further applications of quantum mechanics.
Antirequisite(s):
The former Physics 461a.
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Applied Mathematics
4351A 
Electromagnetic Theory II

Static fields (Green's functions); time varying fields; Maxwell's equations, conservation laws; nonrelativistic motion of particle in static, uniform external fields; Rutherford scattering; plane waves; simple radiating systems; fields of a moving charge; relativistic formulation.
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Applied Mathematics
4353B 
Classical Field Theory

Hamilton's Principle; Lagrangian for continuous systems; relativistic theories of particles and fields, Green's functions; LienardWiechert potential; motion of charges in electromagnetic fields; electromagnetic field tensor; Lorentz transformations of electromagnetic fields; action function of electromagnetic fields; Noether's theorem; gravitational field in relativistic mechanics; curvilinear coordinates; introduction to general relativity.
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Applied Mathematics
4551A/B 
Introduction to Elementary Particles

Phenomenology; conservation laws and invariance principles; analysis of reactions and decays; the identification of particles; the particle spectrum; unitary symmetry; quarks; models of strong interaction dynamics.
Prerequisite(s):
Permission of the Department.
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Applied Mathematics
4611F/G 
Introduction to Object Oriented Scientific Programming

Basic introduction to C++, review of numerical methods applicable to problems in linear algebra and differential equations, introduction to the concept of objectoriented programming techniques, applications to scientific computation. Grade is based upon two projects and a presentation.
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Applied Mathematics
4613A/B 
Finite Element Methods

Variational principles, methods of approximation, basis functions, convergence of approximations, solution of steady state problems, solution of timedependent problems. Each student will be required to complete two major computational projects.
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Applied Mathematics
4615F/G 
Introduction to Applied Computer Algebra

Strengths and limitations of computer algebra systems (CAS); complexity of exact computations versus possible instability of numerical computations; selecta from Groebner bases, resultants, fractional derivatives, Risch integration algorithm, special functions including the Lambert W function. The emphasis is on preparing the student to use CAS in mathematics, science, and engineering.
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Applied Mathematics
4617A/B 
Numerical Solutions of Partial Differential Equations

Finite difference methods, stability analysis for timedependent problems.
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Applied Mathematics
4815A/B 
Partial Differential Equations II

Boundary value problems for Laplace and Helmholtz equations, initial value problems for heat and wave equations, in one to three dimensions; Green's functions in bounded and unbounded domains; Method of Images.
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Applied Mathematics
4817A/B 
Methods of Applied Mathematics

Fourier, Laplace and Hankel transforms with applications to partial differential equations; integral equations; and signal processing and imaging; asymptotic methods with application to integrals and differential equations.
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Applied Mathematics
4819A/B 
Linear Operators for Physical Science

Introduction to infinite dimensional linear spaces and their occurrence in applications; metric and Banach spaces: bounded operators; Volterra integral equation; introduction to the Lebesgue integral; Hilbert space, selfadjoint, unitary, compact and projection operators, spectral decomposition of selfadjoint operators; Fredholm integral equations; mathematical foundations of Quantum Mechanics.
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Applied Mathematics
4999Z 
Project

The student will work on a project under faculty supervision. The project may involve an extension, or more detailed coverage, of material presented in other courses. Credit for the course will involve a written as well as oral presentation.
Antirequisite(s):
The former Applied Mathematics 491y.
Prerequisite(s):
Registration in the fourth year of a program in Applied Mathematics.
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