AMS 507 - Introduction to Probability

The topics include sample spaces, axioms of probability, conditional probability and independence, discrete and continuos random variables, jointly distributed random variables, characteristics of random variables, law of large numbers and central limit theorem, Markov chains.

3 credits

Grading Letter graded (A, A-, B+, etc.)