18.440 Probability & Random Variables
Spring 2013
Professor: Jonathan Adam Kelner
TAs: Benjamin Iriarte Giraldo, Adrian Valentin Vladu
Lecture: MWF10 (34-101)
Course Information:
This course introduces the mathematical framework of probability
and random variables. It aims to provide a rigorous axiomatic
development of the theory while, at the same time, building
intuition and problem solving skills.
Some of the topics that we shall cover include: probability spaces;
discrete and continuous random variables; distribution functions;
conditional probabilities; Bayes' rule; joint distributions;
expectations, variances, and higher moments; uniform, binomial,
geometric, Poisson, exponential and Gaussian distributions; Markov,
Chebyshev, and Chernoff inequalities; the law of large numbers and
the central limit theorem; Markov chains; and the probabilistic
method.
Announcements
Quiz in 34-101
Quiz 2 will be held in our usual classroom, 34-101.Announced on 22 April 2013 9:22 a.m. by Jonathan Adam Kelner
