Course Catalog


Scientific Computation and Visualization

An introduction to scientific computation and visualization with applications to physics, biology, chemistry, mathematics and engineering suitable for first year graduate students and advanced undergraduates in these and related fields. Students will have immersion experiences in computing by working on several projects from start to finish, from developments of numerical algorithms, code writing and debugging, to data processing and visualization. The course provides an ideal environment to learn the fundamentals of high-performance scientific computing and visualization.

Offered in:

2017 Spring

Section Class Number Schedule/Time Instructor Location
01 4850 MW
04:30 PM - 06:30 PM
Session: Regular Academic Session
Class Dates: 01/23/2017 - 05/10/2017
Capacity: 15
Enrolled: 0
Status: Open
Credits: 4/4
Class Notes:
Pre Requisites:
Course Attributes: