This course provides a foundation in the theory and applications of probability and stochastic processes and an understanding of the mathematical techniques relating to random processes in the areas of signal processing, detection, estimation, and communication. Topics include the axioms of probability, random variables, and distribution functions, functions and sequences of random variables; stochastic processes; and representations of random processes.
An undergraduate degree in electrical engineering.
This course provides a foundation in the theory and applications of probability and stochastic processes and and understanding of the mathematical techniques relating to random processes in the areas of signal processing, detection, estimation, and communications. Topics include the axioms of probability, random variables, and distribution functions, functions and sequences of random variables, stochastic processes, and representations of random processes.
| Test 1 | 20% |
| Test 2 | 20% |
| Homework | 30% |
| Final Exam | 30% |
Textbook information for this course is available online through the MBS Direct Virtual Bookstore.
There are notes for this course.
(Last Modified: 07-22-2008 at 11:07:57 AM)