Course Detail

Units:

3.0
Course Components:

Lecture

Enrollment Information

Enrollment Requirement:

Prerequisites: "C-" or better in (CS 1410 OR EAE 1410) AND (MATH 2270 OR MATH 2250 OR CS 3130 OR ECE 3530).

Description

Scientific computation relevant to computational science and engineering, with emphasis on the process of modeling, simulation, visualization and evaluation. Possible topics related to the four areas include: (modeling) continuous and statistical modeling; (simulation) solving and linear and non-linear systems, interpolation and approximation, numerical differential equations; (visualization) scalar and vector field visualization techniques; (evaluation) connection of results back to case-studies of interest from areas such as physics, biology, etc. Basic knowledge of programming, matrices, and calculus is assumed. Recommended programming experience at the level of CS 2420 and Mathematical background at the level of integral calculus.