CPS 258: Introduction to Computational Science
Instructor: Xiaobai Sun, Computer Science

This course is an introduction to a wide variety of methods in computational science and should be attractive to graduate students who want to learn the leading techniques and their potential applications. The course syllabus is chosen with direct application to research subjects and is intended to:

• Introduce PRACTICAL computational methods to graduate students.
• Bring together graduate students from different disciplines in science, engineering and the basic sciences.
• Underline the "common-ground" of computational methods.

Introduction to scientific computing and its applications to facilitate interdisciplinary collaborative research. After a brief introduction to contemporary high performance computer architectures, basic issues associated with linear algebra, numerical analysis, programming languages and widely available software packages will be surveyed. Subsequent material will delve into methods for high performance algorithm design, encompassing such topics as finite elements, fast transforms, molecular dynamics, high dimensional optimization, computational quantum mechanics and visualization.

Please contact Xiaobai Sun for more information on CPS 258.

Other courses

Other graduate courses with a known computational component are listed at:
http://www.csem.duke.edu/education/grad/courses.html