Mathematics

Introducing basics of univariate, bivariate random variables and basic structure of stochastic processes

Stochastic analysis of signals, probability and random processes (univariate random variables, bivariate and multivariate random variables, bivariate and multivariate joint distribution functions, marginal distribution functions, independence, covariance and correlation coefficient, conditional distribution functions and conditional expectation, Markov chains, continuous time random processes, auto correlation and auto covariance, power spectrum functions and spectral analysis).

Introduction to numerical methods with computer application.

- Linear Alegbra

- Special Functions

Numerical Methods