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A standard test case suite for two-dimensional linear transport on the sphere: results from a collection of state-of-the-art schemes

Peter Lauritzen, Paul Ullrich, Christiane Jablonowski, Peter Bosler, Donna Calhoun, A. Conley, T. Enomoto, L. Dong, S. Dubey, O. Guba, A. Hansen, E. Kaas, J. Kent, J.-F. Lamarque, M. Prather, D. Reinert, Vladimir Shashkin, William Skamarock, B. Sorensen, Mark Taylor, M. Tolstykh, "A standard test case suite for two-dimensional linear transport on the sphere: results from a collection of state-of-the-art schemes", Geosci. Model Dev., 2014. http://www.geosci-model-dev.net/7/105/2014/gmd-7-105-2014.html

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Introduction to Scientific Programming (Math 365)

This course introduces students to scientific computing. The emphasis on this course is on applications and using Matlab or Python to solving science and engineering problems. Less emphasis is placed on numerical algorithms.

Introduction to Complex Variables (Math 426/526)

In this course, we explore complex numbers and functions of a complex variable. Many of the ideas learned in Calculus will be revisited for complex numbers. The approach of this course will be applied, we will also discuss proofs of basic results.

Fundamentals of Applied Mathematics (Math 537)

Emphasis in this course is on “computational” techniques in the sense that we will solve lots of problems (not in the sense of programming). Theory will be presented when it is especially beautiful or enlightening, and has a useful purpose. For example, Sturm-Liouville Theory, Potential Theory. Students may be asked to using plotting packages (Matlab, Python) to plot solutions to problems posed in class, but numerical methods will not be discussed in this course, except in passing.