AMS-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.

HOURS: 10:00 - 11:45; Tu. and Th.
ROOM: Steven Acad 175

Instructor 

Bruno Sansó, BE 361C

Teaching Assistant

Nicole Mendoza, BE 354

Announcements

Quiz 3 will cover sections: 3.10, 4.1, 4.2, 4.3, 4.6, 4.7, 5.3, 5.4, 5.5 and 5.6.

Nicole will hold an extra office hour from 330 to 430 PM in BE 312 c/d on Friday 12/04.