MATH 3100 - Introduction to Probability


Syllabuspdf

The MATH 3100 course introduces fundamental concepts, ideas, and techniques of probability theory:

  • Basic properties of probability spaces
  • Elementary combinatorics
  • Discrete random variables: distributions, means, standard deviations
  • Continuous random variables in one and multiple dimensions
  • Independence, conditional probability and conditional expectation
  • Law of Large Numbers
  • Central Limit Theorems
  • Poisson processes
  • Markov chains
  • Characteristic and generating functions



In Sprint 2017 (January 23 — May 2), my office hours are on Wednesday, 12:50-1:50pm, and on Thursday, 2:00-3:00pm.
Office: 209 Kerchof Hall, no. 22</a> at the Campus Map

Assignments and other material

08 Sep 2014  •   MATH 3100 - HW3

04 Sep 2014  •   MATH 3100 - HW2

03 Sep 2014  •   Percolation

29 Aug 2014  •   MATH 3100 - HW1