Skip to main content

140.723.01
Probability Theory III

Location
East Baltimore
Term
3rd Term
Department
Biostatistics
Credit(s)
3
Academic Year
2024 - 2025
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)
Contact Name
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