To enable students to
Solution of Non Linear equations: Introduction to linear and nonlinear equations, measures of accuracy, Bisection Method, Iteration Method, Regula-Falsi method, Newton Raphson method, Rate of convergence of iterative methods.
Solutions of system of Linear equations: Direct Method - Gauss Elimination method and pivoting, Ill Conditioned system of equations. Iterative method- Gauss Seidal Method.
Interpolation and approximation: Finite Differences, Difference tables, Newton’s forward and backward formula, Central Difference Formulae: Gauss forward and backward formula.
Interpolation with unequal intervals: Langrange’s Interpolation, Newton Divided difference formula.
Numerical Integration: Trapezoidal rule, Simpson’s rules.
Solution of Differential Equation: Runge kutta methods, Predictor-Corrector methods.
Statistical Computation: Frequency charts: Different frequency charts, Regression Analysis, Curve fitting and Approximation, Method of least squares, fitting of Linear Function, fitting of Nonlinear Function- polynomials, exponential curves .
Linear regression and Nonlinear regression Algorithms, Multiple regression Algorithms
Time Service and forecasting: Moving averages, Smoothening of curves, Forecasting models and methods, Statistical Quality control Methods: Factor Analysis, ANOVA, Test of significance: Xtest and F-test Applications to medicine, psychology etc.