140.723.01
Probability Theory III
Location
East Baltimore
Term
3rd Term
Department
Biostatistics
Credit(s)
3
Academic Year
2018 - 2019
Instruction Method
TBD
Tu, Th, 3:30 - 4:20pm
Lab Times
Wednesday, 9:30 - 10:20am (01)
Auditors Allowed
No
Available to Undergraduate
No
Grading Restriction
Letter Grade or Pass/Fail
Course Instructor(s)
Cristian Tomasetti
Contact Name
Frequency Schedule
Every Year
Resources
Prerequisite
Calculus, real analysis; 140.721-2
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:
- 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