140.721.01
Probability Theory I
 Location:
 East Baltimore
 Term:
 1st term
 Department:
 Biostatistics
 Credits:
 3 credits
 Academic Year:
 2022  2023
 Instruction Method:
 Inperson
 Class Times:

 M W, 1:30  2:50pm
 Auditors Allowed:
 Yes, with instructor consent
 Undergrads Allowed:
 No
 Grading Restriction:
 Letter Grade or Pass/Fail
 Course Instructor:
 Contact:
 Michael Rosenblum
 Resources:
 Prerequisite:
Calculus, real analysis
 Description:

Presents key concepts needed to understand measuretheoretic 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:
 Write rigorous proofs.
 Rigorously define the probability measure corresponding to a given experiment
 Methods of Assessment:
This course is evaluated as follows:
 100% Homework
 Instructor Consent:
Consent required for some students
 Consent Note:
Consent required for any students who are not in the Biostatistics PhD program
 For consent, contact:
 Special Comments:
Please note: This is the onsite section of a course that is also offered virtually. Students will need to commit to the modality for which they register. Students who are able to be present in Baltimore for 1st term should register for this section. The course will include 30 minutes per week of lab (time TBA).