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MATH 895: Core Course in Probability

Randomness
i ching
Gaussian

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Course outline:



Week
Topic
Homework, problems
Lecture notes, etc.
Other notes
9/11
Introduction:
Discrete probability,
Introduction to measure theory
Problems for discussion


9/18
Construction of Lebesgue measure
Random Variables
Expectations
Continuous distributions






lecture notes




9/25
Change of Variables
Strong Law of Large Numbers
0-1 Laws
Concentration inequalities
homework #1
solutions

10/2
waiting times and hazard rates
Poisson process
continuous distributions

Wednesday lecture (10/4)
5:30-8:30 pm
10/9

Problem set #1 due

10/16
Poissonization
Normal distribution






10/23
NO CLASS Problem set #2 due Friday

10/30
Central Limit Theorem (proof)
Multivariate normal
Tail bounds



Additional Wednesday lecture
(11/1) 5:30-7 pm

Laplace and Fourier transforms,
Method of moments
11/6
Large deviations



11/13
Conditional Expectation
Problem set #3 due
solutions

Additional Wednesday lecture
(11/15) 5:30-7 pm
11/20
Martingales


11/27
Markov chains


12/4 Brownian motion Problem set #4 due


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