This is an introductory course to probability theory and its applications. Some of the topics that will be covered include: combinatorial analysis, axioms of probability and independence, conditional probability, Bayes' theorem, random variables (discrete and continuous), joint probability distributions, properties of expectation, the central limit theorem, the law of large numbers, and Markov chains.

HOURS: TuTh 01:30PM-03:05PM
ROOM: Engineer 2 194

Instructor 

Bruno Sansó, BE 361 C

OFFICE HOURS: Tu Th 4:00PM-5:00PM

Teaching Assistants

Annalisa Cadonna, BE 354. OH: Mo 6:30 - 7:30; Th 10:30 - 11:30

Mickey Warner, BE 356. Mo 2:00 - 3:00; We 10:00 - 11:00 and 1:00 - 2:00