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.

Instructor and Assistants

Raquel Prado BE-365C 

Matt Heiner

Daniel Kirsner 

General Information


  • Syllabus and Class Information
  • Time and location: Tu-Th 10-11:45am Classroom Unit 001 
  • Instructor Office Hours: Tu 12-1pm and Wed 9:30-10:30am
  • TA Office Hours: Daniel: M 2-4pm E2 480. Matt: Th 8:30-9:30am in BE 312 C/D and Fr 8:30-9:30am BE 312 C/D
  • Homework Assignments
  • Discussion Sections: Th 6-7:10pm and 7:30-8:40pm Nat Sci Annex 101. Two new sections have been scheduled! Here is the info: Mondays 8-9:10am and 9:30-10:40am Porter Acad 144   
  • Announcement: Matt will have extended office hours the week of Nov 30-Dec 4. Instead of 8:30-9:30am on Thursday 12/3 and Friday 12/4, he will be available from 8:00-10:00am both days.