140.723.41
Probability Theory III

Cancelled

Location
Internet
Term
3rd Term
Department
Biostatistics
Credit(s)
3
Academic Year
2021 - 2022
Instruction Method
Synchronous Online
Class Time(s)
Tu, Th, 3:30 - 4:20pm
Auditors Allowed
No
Available to Undergraduate
No
Grading Restriction
Letter Grade or Pass/Fail
Course Instructor(s)
Cristian Tomasetti
Contact Name
Cristian Tomasetti
Frequency Schedule
Every Year
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
This course is evaluated as follows:
  • 50% Homework
  • 50% Final in-class exam
Instructor Consent
Consent required for some students
Consent Note
Consent required for any students who are not in the Biostatistics PhD program
Consent Contact
ctomase2@jhmi.edu
Special Comments

Please note: This is the virtual/online section of a course that is also offered onsite. Students will need to commit to the modality for which they register.