# STAT364/664: Information theory

Welcome to STAT364/664! This is a graduate-level introduction to the mathematics of Information Theory, with emphasis on the modern aspects of non-asymptotics and information spectrum methods. We will also discuss various connections and applications to statistics and computer science.

Lectures: Tuesday and Thursday at 1135-1250 in Room 107, 24 Hillhouse.

Office hours: Tuesday 2-4pm, Room 203, 24 Hillhouse.

Teaching fellow : Jason Klusowski

Syllabus

Lecture notes (updated Jun 2016) co-developed with Prof. Yury Polyanskiy at MIT

## Announcements

The first lecture is Jan 17.

The lecture on Feb 9 has been cancelled due to ❄❄❄.

Midterm: **Feb 28 Tuesday in class**. You can bring one letter-size (8.5x11’’) sheet of notes. Calculators or other electronic devices are NOT allowed. Here is an excellent idea of creating cheat sheet.

Final: **May 8 Monday 2-5pm** (according to the assignment scheme), **location: HLH17 03**. You can bring two letter-size (8.5x11’’) sheets of notes. Calculators or other electronic devices are NOT allowed.

## Homeworks