- Spring 2016, M 6:00pm-9:05 pm, TIER 114
Instructor:
Dr. Joerg Kliewer
213 ECEC
Phone: (973) 596-3519
E-mail: jkliewer ATT njit DOTT edu
Office hours: Wednesday 2-3 pm, or by appointment
Required prerequisites:
Since information theory can be seen as applied probability, a good knowlegde in probability theory is required, where you should be familiar with most of the topics covered in the graduate Random Signal Analysis class.
Textbook (mandatory):
- T. M. Cover and J. A. Thomas: Elements of Information Theory (second edition), John Wiley & Sons, 2005
Additional reading:
- R. G. Gallager: Information Theory and Reliable Communication, John Wiley & Sons, 1968
- R. Yeung: A First Course in Information Theory, Kluver Academic Publishers. 2002
- Online resources
Grading:
- Homework 15%
- Quizzes 15%
- Midterm 30%
- Final 40%
Grading policy: There is no grace period for homework, late submissions cannot be accepted (absolutely no exceptions).
Class discussions:
We will be using Piazza for class discussion. The system is highly catered to getting you fast help from classmates and myself. Rather than emailing questions to me, I encourage you to post your questions on Piazza. Find our class page here.
Important dates:
- Midterm: Monday, Mar. 21
- Final: TBA