Apr 20, 2021  
Graduate Record 2013-2014 
Graduate Record 2013-2014 [ARCHIVED RECORD]

SYS 6045 - Applied Probabilistic Models

The goal of this course is to develop an operational understanding of the basic tools of probabilistic modeling, including (i) a review of undergraduate probability, (ii) introduction to Bernoulli and Poisson processes with applications, (iii) Markov chains and applications, and (iv) limit theorems. Homework and exams will emphasize the use of basic concepts of probability theory in applications. This course cannot be applied toward completing the requirements for an M.S. or Ph.D. in Systems Engineering.

Credits: 3