StatisticsSTAT 131 Introduction to Probability Theory

Introduction to probability theory and its applications. Combinatorial analysis, axioms of probability and independence, random variables (discrete and continuous), joint probability distributions, properties of expectation, Central Limit Theorem, Law of Large Numbers, Markov chains. Students cannot receive credit for this course and course 203 and Computer Engineering 107. (Formerly AMS 131.)

Requirements

Prerequisite(s): AM 11B or ECON 11B or MATH 11B or MATH 19B or MATH 20B.

Credits

5

General Education Code

SR

Quarter offered

Fall, Winter, Spring

Instructor

The Staff, Raquel Prado, Athanasios Kottas, Bruno Sanso, Jonathan Katznelson, David Draper, Ju Hee Lee