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140.721.01
Probability Theory I

Course Status
Cancelled

Location
East Baltimore
Note: Due to the COVID-19 Pandemic, this course was held in a virtual/online format.
Term
1st Term
Department
Biostatistics
Credit(s)
3
Academic Year
2020 - 2021
Instruction Method
TBD
Class Time(s)
Tu, Th, 3:30 - 4:50pm
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
Prerequisite

Calculus, real analysis

Description
Presents the first part of the classical results of probability theory: measure spaces, LP spaces, probability measures, distributions, random variables, integration, and convergence theorems.
Learning Objectives
Upon successfully completing this course, students will be able to:
  1. Rigorously define the probability measure corresponding to a given experiment
  2. Define a random variable and the sigma-algebra it generates
  3. Integrate with respect to a probability measure
  4. Understand convergence of random variables, and the conditions required to prove convergence in expectation
Special Comments

The course will include 30 minutes per week of lab (time TBA)