Spring 2014 - EE 381K

Analysis & Design of Communication Networks


Instructor

Description

We introduce analytical tools need to construct and analyze models for for communication and computer systems. The focus of the course will be on discussing tools from queueing theory, optimization, and control, as they apply to evaluating the the performance of various types of systems. The course is intended to build upon an introductory graduate course on probability and stochastic processes and one on communication networks (i.e., EE 381J and EE382N ).

Course Topics

(Will cover as many as I can)

Prerequisites

This course is intended for graduate students. EE381J Probability and Stochastic Processes or equivalent is a prerequisite for the course. You should also have some background in telecommunication networks, e.g., an undergraduate course on this topic and/or EE382N Communication Networks. If you dont have these prerequisites, you are encouraged to take these first, but may seek permission from the instructor.

Course Web site and Text

Suggested References

Two new textbooks in this area are great. I got these too late this term to choose one, but I recommend both of them! Old standards!

Grading Policy and Exam Schedule

Homeworks will be assigned on a weekly basis and typically due Wednesday though this will depend on how we are doing in class. You must make an individual effort on your homework. As part of this course you will be required to grade and produce solutions to one of the homework sets. The grading policy is as follows: 30% of your grade will be based on homeworks; 5% will be based on class participation or office hours interactions you have with me; and 60% will be based on your midterm and final (30% and 35% each). All exams will be closed, i.e., no cheet sheets, notes or books. The schedule for the exams is as follows:

Where does this course fit in?

In conjunction with this course, or in the sequel you might consider taking: Performance Evaluation, Stochastic Networks, as well as related courses on Digital Signal Processing; and/or Digital Communications and Optimization of Engineering Systems . You might consider taking Wireless Communications; Advanced Signal Processing; and/or Information Theory.


Note: All departmental, college and university regulations concerning drops will be followed. The University of Texas at Austin provides upon request appropriate academic adjustments for qualified students with disabilities. For more information, contact the Office of the Dean of Students at 471-6259, 471-4241 TDD or the College of Engineering Director of Students with Disabilities at 471-4382.