EE444: Stochastic Signal Analysis II
Course Syllabus, Spring 2010
Lecture: 112 EECH, Tuesday and Thursday 2:00 p.m. - 3:15 p.m.
Dr. Chengshan Xiao
Dept. of Electrical and Computer Engineering
229 EECH, 573-341-4539 (o), firstname.lastname@example.org
Friday: 9:00 - 11:00 a.m. or by appointment
Elec Eng 344 (Stochastic Signal Analysis I), or
Stat 343 (Probability and Statistics).
Advanced topics of stochastic signal analysis will be covered. Topics include spectral
representation, spectrum estimation, mean square estimation, Markov chains, and Markov
processes and queueing theory.
Textbook and Reference books A. Papoulis and S. U. Pillai, Probability, Random Variables and Stochastic
Processes, 4th Edition, McGraw Hill, 2002.
Lectures, Homeworks, and Exams: You (students) are expected to attend every lecture. You are solely
responsible for anything you miss in classes, including announcements,
handouts, assignments, and exams, in addition to the course topics
discussed in the class.
There will be homework assignments, which will be due at 2:00pm on the designated date.
There will be three exams. The
exams are closed-book.
Makeup exams will not be given
unless you have a very unusual excuse with the instructor's permission in advance,
or a documented medical/family emergency.
If you disagree with the grading of an exam or a homework, you must contact the
instructor within one week from the day the exam/homework is handed back to you. After
that time, no request for regrading will be accepted. A regrade can result in an increase,
a decrease, or no change in the grade.
The grading scheme is given by
|| 20% |
| First Exam:
|| 20% |
| Second Exam:
|| 20% |
Please inform the instructor any religious or traditional holidays that you may wish to observe.
Your feedback is very important to have good lectures. In addition to the semester-end
teaching evaluation required by the department, I'll frequently solicit your feedback.
Your comments are appreciated and are welcome throughout the semester.
Feedback and communication with the instructor can be made via in-class questions, office hours,
emails, and anonymous letters dropped in my mailbox or in the department office. Your emails will
be read everyday during the week. But due to the large volume of emails I receive every day,
I may reply only when needed. Common questions will be answered in class.
Class Behavior and Academic Honesty:When in class, please turn off all cell phones, pagers, and other devices that ring, buzz,
or otherwise might disrupt the class.
Academic honesty is fundamental to the activities and principles of a
university. All members of the academic community must be confident
that each person's work has been responsibly and honorably acquired,
developed, and presented. Any effort to gain an advantage not given to
all students is dishonest whether or not the effort is successful. The
academic community regards academic dishonesty as an extremely serious
matter, with serious consequences that range from probation to
expulsion. When in doubt about plagiarism, paraphrasing, quoting, or
collaboration, consult the course instructor.
Discussion on homework assignments between students is permitted, but
each student should solve the problems and write report(s) separately.
Other examples of cheating are
- Submitting a report that the project or the writeup is not done by you.
- Sharing results or notes during exams. Stealing other student's results during exams.
- Bring notes, in hard copy or electronic form, to an exam where they are not allowed.
- Continuing work on your exam after we have called for papers.
- Requesting a regrade on an exam or homework assignment that has been altered after grading.
- Copying paragraphs without putting them in quotation marks or citing the reference.
If you need assistance or accommodations
due to a disability, please notify the instructor immediately. Reasonable effort will be
made to accommodate your special needs.