MAT 271 - Probability and Statistics

Course Objectives

- An intuitive understanding of probabilistic concepts
- Ability to use probabilistic notions in engineering applications
- Ability to cope with uncertainty in engineering design

Course Description

Introduction to probability and statistics. Combinatorial methods; product rule, permutation, combination. Probability; probability axioms, conditional probability, Bayes formula. Random variable; distribution function, probability function, Chebyshev inequality. Discrete and continuous distributions; uniform, Bernoulli, Poisson, geometric, normal, exponential distributions. Generating functions. Decision theory. The notion of estimation. Hypothesis testing. Correlation.