SYS 6045 - Applied Probabilistic Models

Institution:

University of Virginia-Main Campus

Subject:

Systems and Information Engineering

Description:

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:

3.00

Credit Hours:

Prerequisites:

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

www.virginia.edu/

Phone Number:

(434) 924-0311

Regional Accreditation:

Southern Association of Colleges and Schools

Calendar System:

Semester

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