Stat 134: Concepts of Probability

UC Berkeley

Overview

An introduction to probability, emphasizing concepts and applications. Conditional expectation, independence, laws of large numbers. Discrete and continuous random variables. Central limit theorem. Selected topics such as the Poisson process, Markov chains, characteristic functions.

Logistics

Three hours of Lecture per week for 15 weeks. Five hours of Lecture per week for 8 weeks.

Prerequisites

One year of calculus.