Statistics
STAT131 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.)
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