### Basic Information

Data Processing, Introduction to Sets and Probability. Sample Space, Events, Counting Sample Points, Combinatorical Conditional and Total Probability, Independence, Bayes' Theorem, One and Higher Dimensional Random Variables, Probability Distributions, Expectation and Higher Moments, Chebyshev's Inequality, Known Discrete and Continuous Distributions, Regression, Sampling, Estimation of Parameters, Testing Hypotheses, Decision Under Uncertainty, Basic Concepts in Simulation.