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 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:
- 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).