140.723.01
Probability Theory III

Location
East Baltimore
Term
3rd Term
Department
Biostatistics
Credit(s)
3
Academic Year
2023 - 2024
Instruction Method
In-person
Class Time(s)
M, W, 1:30 - 2:50pm
Auditors Allowed
Yes, with instructor consent
Available to Undergraduate
No
Grading Restriction
Letter Grade or Pass/Fail
Course Instructor(s)
Ciprian Crainiceanu
Contact Name
Ciprian Crainiceanu
Frequency Schedule
Every Year
Prerequisite

Calculus, real analysis; 140.721-2

Description
Presents the second part of the classical results of probability theory: laws of large numbers, weak convergence, central limit theorems, conditional expectations and their properties.
Learning Objectives
Upon successfully completing this course, students will be able to:
  1. Examine and apply foundational concepts of probability theory
  2. Derive the limiting probability distribution of a sequence of distributions and its application to understanding large sample properties of statistical estimators
  3. Define and derive densities and their derivatives
  4. Identify conditional expectations, their properties and applications in regression analysis
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
ccraini1@jhu.edu
Special Comments

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