Class Learning Objectives

CS/SE 3341 Probability and Statistics in Computer Science and Software Engineering

Ability to understand basic properties of probability theory
Ability to understand concepts of conditional probability, Bayes Theorem, independence
Ability to understand basic concepts, properties of discrete random variables
Ability to understand expectations, functions of discrete random variables
Ability to understand basic concepts, properties of continuous random variables
Ability to understand expectations, functions of continuous random variables
Ability to understand applications of the Central Limit Theorem
Ability to understand and perform estimation of model parameters
Ability to understand and use hypothesis testing
Ability to understand and apply regression
Ability to understand Bernoulli, Poisson, renewal processes

Ability to understand and use Markov Chains