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: 8:00- 9:35; Tu. and Th.

ROOM: BE 152

**Bruno SansÃ³, BE 361C**

OFFICE HOURS: 10:30 - 11:30 Tu and Th

**Sisi Song**

OFFICE HOURS: Th 12:00-1:00; Fr 3:00-4:00 **BE 312C/D**

**Xingchen Yu**

OFFICE HOURS: Mo 1:00-2:00; We 11:30-12:30 **E2 480**

- I have posted some practice problems in files that are linked to the topics in the schedule. Solutions are also posted in separate files. DO NOT look at the solutions before you have solved the problems!
- The class of Tuesday 10/25 will a practice class. It will start 15 minutes late.