Description
Numerical Differentiation and Integration - Matrices - Curve fitting and Interpolation - Numerical Solutions of ordinary and Partial Differential Equations - Numerical solutions of algebraic and nonalgebraic equation in one unknown and many unknowns.
Reviewing methods of data presentation and analysis and the important statistical measures - Probability distributions and their applications - Sampling methods - Sample and population measures (point estimate) - Tests of hypothesis and confidence limits - Correlation and regression analysis.
Credits
3 Hours