AMATH – Introduction to Differential Equations. David Harmsworth. Spring Course Notes by John Wainwright. AMATH is an advanced-level version of AMATH Compared to AMATH , AMATH offers a more theoretical treatment of differential equations and . Is this really as easy as people say? Is the difficulty prof dependant? How is the course otherwise (proof vs computation)?.

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The course AM will introduce you to this fascinating area in the Mathematical Sciences. An introduction to dynamic mathematical modeling of cellular processes. A unified view of linear and nonlinear systems of ordinary differential equations in Rn.

The mathematics used is primarily single variable calculus, with some dependence on linear algebra. Applications are emphasized throughout.

Courses Applied Mathematics

Is the difficulty prof dependant? Techniques include difference equations, ordinary differential equations, partial differential equations, stability analysis, phase plane analysis, travelling wave solutions, mathematical software. Can you imagine what his reaction would be to the present widespread use of differential equations, with applications ranging from the space shuttle guidance system to epidemic models and neural networks?

No explicit sharing or insinuation of illegal information and activities, including drug dealing e. The course overall is difficult for students who lack these skills and intuition. The course is easy if you have good intuition on physics and mathematics. Skip to main Skip to footer.

Second order linear partial differential equations – the diffusion equation, wave equation, and Laplace’s equation. An introduction to numerical methods for ordinary and partial differential equations.


A thorough discussion of the class of second-order linear partial differential equations with constant coefficients, in two independent variables. In addition, emphasis will be placed on computational analysis of differential equations and on applications in science and engineering.

Introduction to linear partial differential equations. Includes collaborative projects and computer labs. Dimensional analysis and dimensionless variables. Concept of functional and its variations.


amathh IIRC the averse hovered around a A forum for news and discussion relevant to the university. First order ordinary differential equations. The difficult of any course is not only prof-dependent. Applications are used as motivation. Applications include conservation laws, fluid flow and electromagnetic fields. Finite element methods for elliptic and parabolic equations: The Hilbert space of states, observables and time evolution.

Methods of solution – separation of variables and eigenfunction expansions, the Fourier transform. AM is thus the ideal course for students who wish to consolidate their understanding of single variable calculus while applying it to problems in the sciences and engineering. An introduction to some of the deep connections between mathematics and music.

Most questions will come from physical problems e. I think the course is easy but not as easy as everyone makes it out to be. All the calculations you do look exactly the same, and there are plenty of examples in class. System theory in both time and frequency domain, state-space computations, stability, system uncertainty, loopshaping, linear quadratic regulators and estimation. Uncertainty, correspondence and superposition principles.

AMATH Introduction to Differential Equations | Applied Mathematics | University of Waterloo

AM provides an introduction to all Applied Mathematics programs, and is taken by all Applied Mathematics students. CSNumeric Computation for Dynamic Simulationsince differential equations form the basis for many mathematical models that have to be investigated using computers. Log in ajath sign up in seconds.


The course focuses on introducing widely used methods and highlights applications in the natural sciences, the health sciences, engineering and finance. Introduction to wave motion and geophysical fluid mechanics. Density matrix, Ehrenfest theorem and decoherence. Want to add to the discussion? Posts and comments on this subreddit may be removed at moderator discretion.

I don’t know, I’m taking it next semester but I think in general you shouldn’t bank on any course being easy even if people say it is. Physical systems which lead to differential equations examples include mechanical vibrations, population dynamics, and mixing processes.

The Friedmann-Robertson-Walker cosmological models. Elements of compressible flow.

A rigorous introduction to the field of computational mathematics. Bell inequality and basics of quantum computing. Second order linear differential equations with non-constant coefficients, Sturm comparison, oscillation and separation theorems, series solutions and special functions.

An introduction to contemporary mathematical concepts in signal analysis.

AMATH 250 – Introduction to Differential Equations

Various applications, for example, to ordinary differential equations, optimization and numerical approximation. The solution of problems using variational methods – the Euler-Lagrange equations.

Stable and unstable manifolds. Higher order linear ordinary differential equations. The special case of flows in the plane, Poincare-Bendixson theorem and limit cycles.