140.721.71
Probability Theory I
Cancelled
 Location:
 Internet
 Term:
 1st term
 Department:
 Biostatistics
 Credits:
 3 credits
 Academic Year:
 2022  2023
 Instruction Method:
 Synchronous Online
 Auditors Allowed:
 No
 Undergrads Allowed:
 No
 Grading Restriction:
 Letter Grade or Pass/Fail
 Course Instructors:

 Cristian Tomasetti
 Michael A. Rosenblum
 Contact:
 Cristian Tomasetti
 Frequency Schedule:
 One Year Only
 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 all students
 Consent Note:
Consent required for all students
 For consent, contact:
 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).