140.723.01
Probability Theory III
Location
East Baltimore
Term
3rd Term
Department
Biostatistics
Credit(s)
3
Academic Year
2025 - 2026
Instruction Method
In-person
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
Resources
Prerequisite
Calculus, real analysis; 140.721-2
Enrollment Restriction
This course is not restricted.
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:
- Examine and apply foundational concepts of probability theory
- Derive the limiting probability distribution of a sequence of distributions and its application to understanding large sample properties of statistical estimators
- Define and derive densities and their derivatives
- Identify conditional expectations, their properties and applications in regression analysis
Upon successfully completing this course, students will be able to:
Methods of Assessment
This course is evaluated as follows:
- 30% Homework
- 30% Midterm
- 30% Final Exam
- 10% Discussion