Course Detail
Course Components:
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.