Time Schedule:
James A. Ritcey
E E 416
Seattle Campus
Probability and random processes in communications. Random variables, distributions, and expectation. Statistical filter design for detection and estimation. Prerequisite: E E 341; either STAT 390 or IND E 315.
Class description
Students learn the fundamentals of probability and random signals and how to apply them to problems arising in the design and evaluation of communications and signal processing systems.
Student learning goals
General method of instruction
Lectures, frequent homework including mathemtical analysis (problem sets), computer analysis using MATLAB, occasional quizzes, midterm and final exams, 1 -2 longer projects that each include analysis, computing, and a report.
Recommended preparation
EE341 and IE315 (or STAT390). IE315 is preferred. You ar expected to be proficient in using MATLAB for signal processing, and word processing.
Class assignments and grading
Problem sets and MATLAB software development and application to solve problems.
Rough Criteria (More available in class) 40% Midterm exams (assumes 2 exams) 25% Final Exams 20% HW and Quiz 15% Projects
The class mean depends on the overall class performance. It typically can range anywhere from 2.9 up to 3.5
I apply the competency-based tests. This means that my in-class exams are designed for grades and typically achieve 70% correct answers. You should seek to study the main concepts. THe downside is that students who score very low, typically receive very low grades for the course. Being "around" the mean grade implies a grade near the class mean.
No extra credit is generally available. Typically a strong score on the final project is important.
