Methods and Practice of Scientific Computing

NERS* 590(004) Fall 2018
MW 4:00 – 5:30 p.m. Room G906 COOL
F Lab. 9:00 – 11:00 a.m. 2517 GGBL
4 credits
Prerequisites: Graduate standing. Some programming skills and linear algebra are strongly recommended as background

* NERS students will be able to take this class as a cognate via a meet together arrangement with Mechanical Engineering

This course is designed for graduate students who are developing the methods, and using the tools, of scientific computing in their research. With the increased power and availability of computers to do massively scaled simulations, computational science and engineering as a whole has become an integral part of research that complements experiment and theory. This course will teach students the necessary skills to be effective computational scientists and how to produce work that adheres to the scientific method. A broad range of topics will be covered including: software engineering best practices, computer architectures, computational performance, common algorithms in engineering, solvers, software libraries for scientific computing, uncertainty quantification, verification and validation, and how to use all the various tools to accomplish these things. The class will have lecture twice a week and have an accompanying lab component. Students will be graded on homework, lab assignments, and a course project.

F17 Syllabus (Subject to Change)

M/W Lecture 1.5 hr and Friday lab 2 hr