Page Preview: 95

Course Title[Course Code]:Analysis and Design of Algorithms[CSC 340]

Faculty: Computers and Artificial Intelligence
Department: Scientific Computing
Program: Scientific Computing
Compulsory / Elective:Compulsory
Undergraduate(Third Year-First Semester)
Lecture:( 3 ) Practical / Clinical:( 2 ) Tutorial:( - )

Course Description:
The course aims at introducing the Computational errors. Floating-point computation. Root finding: Bisection method, Newton’s method, and secant method. Approximation theory: Polynomial approximation, least squares method, interpolation, extrapolation, Numerical differentiation and integration. Initial value problems for ODE: Euler’s method, Taylor-series methods, and Rung-Kutta methods. Numerical solutions of nonlinear systems of equations: Boundary-value problems for ODE. Numerical solutions to partial differential equations.