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140.721.71
Probability Theory I

Course Status
Cancelled

Location
Internet
Term
1st Term
Department
Biostatistics
Credit(s)
3
Academic Year
2022 - 2023
Instruction Method
Synchronous Online
Auditors Allowed
No
Available to Undergraduate
No
Grading Restriction
Letter Grade or Pass/Fail
Course Instructor(s)
Contact Name
Frequency Schedule
One Year Only
Prerequisite

Calculus, real analysis

Description
Presents key concepts needed to understand measure-theoretic probability, including the following: set theory, limits of sequences, metric spaces, continuity of functions between metric spaces, convergence of sequences of functions, sigma algebras, probability measure. Emphasizes rigorous proof technique.
Learning Objectives
Upon successfully completing this course, students will be able to:
  1. Write rigorous proofs.
  2. Rigorously define the probability measure corresponding to a given experiment
Methods of Assessment
This course is evaluated as follows:
  • 100% Homework
Special Comments

In recognition that some students may not be able to travel to Baltimore in time for the beginning of 1st term, we are offering this virtual section. Any students wishing to register for this section will first need to contact the instructor for permission. The course will include 30 minutes per week of lab (time TBA).