Information Theory II

Spring Semester 2023

Lecturer

Prof. Amos Lapidoth  Dr. Stefan M. Moser

Assistant

Yiming Yan

Aim

This course builds on Information Theory I. It introduces additional topics in single-user communication, connections between Information Theory and Statistics, and Network Information Theory.

The course has two objectives: to introduce the students to the key information theoretic results that underlie the design of communication systems and to equip the students with the tools that are needed to conduct research in Information Theory.

Prerequisites

• Undergraduate studies.
• Solid foundation in probability and calculus.
• Pleasure with mathematics.
• Information Theory I.

Location / Day / Time

Lec­tures: ETZ E 9, Thurs­day, 14:15 – 16:00
Tu­tori­als: ETZ E 9, Thursday, 16:15 – 18:00

Special remarks

The lectures and exercises are held in English.

Testat requirements

none

Examination

Oral exam, 30 min.

Further information (login)

Contents
Program
Exercises
Lecture Notes
Addresses