Course Description

Information theory establishes the fundamental limits on compression and communication over networks. The tools of information theory have also found applications in many other fields, including probability and statistics, computer science and physics. The course will cover selected topics from these applications, including communication networks, through regular lectures and student projects.

Course Staff

Instructor

Professor Abbas El Gamal
Email: abbas@ee.stanford.edu
Office: Packard 262, 723-3473
Office hours: Tues and Wed 2:00-3:00pm

Course Assistant

Kedar Tatwawadi
Email: kedart@stanford.edu
Office: Packard 251
Office hours: By Appointment

Administrative Assistant

Marsha Dillon
Email: marshad@stanford.edu
Office: Packard 174

Lectures

Time: Tue, Thu 10:00 AM - 11:15 AM

Location: 214 Packard EE Building

Recommended Textbook

Abbas El Gamal and Young-Han Kim, Network Information Theory, Cambridge Press, 2011.

Prerequisites

EE 376A or EE377 or equivalent recommended

Course requirements

Homework

4 weekly homework sets
Assigned Thursdays and due following Thursdays before 5pm. You are allowed to work in small groups, but must write your homework to hand in.
Please submit the assignments in the class, or to Kedar (in Packard 251) by 5pm

Midterm

Take home
Open notes
Handed out on Thursday May 9, due on May 13 before 1pm.

Class Project

Survey of a topic not covered, new research results, new problem
1 or 2 student groups
Will hand out details and schedule soon
Use IEEE Journal format to write the 4-page report

Grading

Homework: 30%
Midterm: 20%
Project: 40%
Attendance of topics lecture and project presentations: 10%

Forum

We will use Piazza for class discussions