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Course number and title: EE232A Stochastic Modeling with Applications to Telecommunication Systems
Credits: 4
Instructor(s)-in-charge: Izhak Rubin (rubin@ee.ucla.edu)
Course type: Lecture
Required or Elective: A Signals and Systems course.
Course Schedule:
Lecture: 4 hrs/week.
Outside Study: 7 hrs/week.
Office Hours: 2 hrs./week.
 
Course Assessment:
Homework: 7 homework assignments.
Exams: 1 midterm and 1 final exam or project.
 
Grading Policy: Typically, 15% HW, 35% Midterm, 50% Final Exam or Final Project.
Course Prerequisites: EE131A.
Catalog Description: Introduction to stochastic processes as applied to study of telecommunication systems and traffic engineering. Renewal theory; discrete-time Markov chains; continuous-time Markov jump processes. Applications to traffic and queueing analysis of basic telecommunication system models.  
Textbook and any related course material:
Gallagher, Discrete Stochastic Processes, Kluwer 2001.
 
Course Website
Topics covered in the course:
Gaussian processes.
Poisson processes.
Markov chains.
Markov processes.
Renewal processes.
Will this course involve computer assignments? NO Will this course have TA(s) when it is offered? NO

:: Last modified: September 2011 by C. Chiuco ::

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