{"id":100,"title":"Scientific Computing","credit_hour":"3","lecture_hour":"45","outcome":"<!DOCTYPE html>\r\n<html>\r\n<head>\r\n<\/head>\r\n<body>\r\n\r\n<\/body>\r\n<\/html>","description":"<!DOCTYPE html>\r\n<html>\r\n<head>\r\n<\/head>\r\n<body>\r\n<p>Numerical computation for mathematical, computational, physical sciences and engineering: error analysis, floating-point arithmetic, nonlinear equations, numerical solution of systems of algebraic equations, banded matrices, least squares, unconstrained optimization, polynomial interpolation, numerical differentiation and integration, numerical solution of ordinary differential equations, truncation error, numerical stability for time dependent problems and stiffness. Implementation of numerical methods in MATLAB programming assignments. <\/p>\r\n<\/body>\r\n<\/html>","books":"<!DOCTYPE html>\r\n<html>\r\n<head>\r\n<\/head>\r\n<body>\r\n\r\n<\/body>\r\n<\/html>","created_at":"2016-09-19 16:00:07","updated_at":"2017-01-29 16:10:19"} Details | Department of Computer Science and Engineering, IUB

CSC 616: Scientific Computing

Offered Under: M.Sc. in Computer Science (CSC)

Description

Numerical computation for mathematical, computational, physical sciences and engineering: error analysis, floating-point arithmetic, nonlinear equations, numerical solution of systems of algebraic equations, banded matrices, least squares, unconstrained optimization, polynomial interpolation, numerical differentiation and integration, numerical solution of ordinary differential equations, truncation error, numerical stability for time dependent problems and stiffness. Implementation of numerical methods in MATLAB programming assignments.

Prerequisites:

None

Course Type	Major
Credit Hour	3
Lecture Hour	45

Expected Outcome(s):

Suggested Books:

Grading Policy: