MATH/MTHE 477/877
Data Compression and Source Coding
Winter 2020

Announcements | Slides | Homework| Course Outline]

Tamas Linder
Office: Jeffery Hall, Room 401
Telephone: 533-2417

Teaching Assistant
Mohammad Akbari


Tuesday 8:30 - 9:45 am, Friday 10-11:15 am, Jeffery Hall 126

Office Hours
by appointment

Homework Assignments
Assignments will be posted on this web site (click here to see them); no paper copies will be handed out. Solutions to the assignments will be on reserve at the Circulation Desk of Stauffer Library.


Policy for missing exams


Recommended Text

Course Outline
Efficient transmission and storage of information is of critical importance in many branches of science and engineering. The means by which to achieve this is source coding (a.k.a. data compression), a discipline that studies the compact representation of information bearing signals (such as text, speech, still image, and video) for the purpose of storage or transmission. Source coding is part of the general theory of communication, and is closely related to and information theory, signal processing, as well as probability and random processes. In this course the fundamentals of the theory and practice of data compression will be studied. The following is a list of topics that will be covered in more or less detail.

Information Theory MATH 474/874