140.723.01
Probability Theory III
 Location:
 East Baltimore
 Term:
 3rd term
 Department:
 Biostatistics
 Credits:
 3 credits
 Academic Year:
 2021  2022
 Instruction Method:
 TBD
 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
 Course Instructor:
 Contact:
 Cristian Tomasetti
 Resources:
 Prerequisite:
Calculus, real analysis; 140.7212
 Description:

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

Upon successfully completing this course, students will be able to:
 Derive the probability distribution to which a sequence of distributions or a series converge
 Derive a bound on the distance between a random variable and a Poisson
 Define and derive conditional expectations
 Methods of Assessment:
Homework (50%), final inclass 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: