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Course Catalog

140.723.01 Probability Theory III

Department:
Biostatistics
Term:
3rd term
Credits:
3 credits
Academic Year:
2017 - 2018
Location:
East Baltimore
Class Times:
  • Tu Th,  3:30 - 4:20pm
Lab Times:
  • Wednesday,  9:30 - 10:20am
Auditors Allowed:
No
Grading Restriction:
Letter Grade or Pass/Fail
Contact:
Cristian Tomasetti
Course Instructor:
  • Cristian Tomasetti
Resources:
Prerequisite:

Calculus, real analysis; 140.721-2

Description:

Presents the second part of the classical results of probability theory: central limit theorems, Poisson convergence, coupling, Stein-Chen method, densities, derivatives and conditional expectations.

Learning Objectives:

Upon successfully completing this course, students will be able to:

  1. Derive the probability distribution to which a sequence of distributions or a series converge
  2. Derive a bound on the distance between a random variable and a Poisson
  3. Define and derive conditional expectations
Methods of Assessment:

Homework (50%), final take-home exam (50%)

Instructor Consent:

Consent required for some students

Consent Note:

Consent required for any students who are not in the Biostatistics PhD program

For consent, contact:

ctomase2@jhmi.edu