Lecture: T TH
Discussion: W 

Professor: Zhen Zhang
Office: EEB 508
Office Hours: T TH 5:00~
Phone: (213) 7404674
Email: zzhang@commsci1.usc.edu
TA: Jun Yang
Office: EEB 505
Office Hours: W
Phone: (213) 7404669
Email: junyang@usc.edu
Grader: Yuankai
Wang
Office: EEB 533
Office Hours: TH
Phone: (213) 7404666
Email: yuankaiw@usc.edu
Textbook:
1. Supplemental lecture notes available on DEN website.
2. Henry Stark and John W. Woods, Probability and Random Processes,
Prentice Hall, 2002
Prerequisites:
1.Linear Algebra: matrix theory, linear space, bases, eigenvectors, eigenvalues, etc (EE441 or equivalent)
2.Probability Theory: probability space, random variable, moments, transformations of random variables, characteristic functions and moment generating functions, etc. (EE464 or equivalent)
Corequisites:
1.Transform
Theory: Fourier, Laplace, and Z transform,
complex variables, contour integrals, and residue theory (EE401 or equivalent)
Reference Book:
Topics Covered:
This is the first course in Random Processes
for Engineers, and is a prerequisite for many courses in communications,
controls and signal processing.
1. Review of probability
2. Random vectors
3. Random sequences and convergence concepts
Homework: Approximately 12 problem sets.
Midterm Exam: During class hours, time indicated in the lecture
section.
Final Exam:
Grading:
Homework
10%
Midterm
35%
Final
55%