Coursera
Coursera Logo

CUHK - Information Theory 

  • Offered byCoursera
  • Public/Government Institute

Information Theory
 at 
Coursera 
Overview

Duration

33 hours

Total fee

Free

Mode of learning

Online

Official Website

Explore Free Course External Link Icon

Credential

Certificate

Information Theory
Table of content
Accordion Icon V3
  • Overview
  • Highlights
  • Course Details
  • Curriculum

Information Theory
 at 
Coursera 
Highlights

  • Shareable Certificate Earn a Certificate upon completion
  • 100% online Start instantly and learn at your own schedule.
  • Flexible deadlines Reset deadlines in accordance to your schedule.
  • Approx. 33 hours to complete
  • English Subtitles: French, Portuguese (European), Russian, English, Spanish
Read more
Details Icon

Information Theory
 at 
Coursera 
Course details

Skills you will learn
More about this course
  • The lectures of this course are based on the first 11 chapters of Prof. Raymond Yeung?s textbook entitled Information Theory and Network Coding (Springer 2008). This book and its predecessor, A First Course in Information Theory (Kluwer 2002, essentially the first edition of the 2008 book), have been adopted by over 60 universities around the world as either a textbook or reference text.
  • At the completion of this course, the student should be able to:
  • 1) Demonstrate knowledge and understanding of the fundamentals of information theory.
  • 2) Appreciate the notion of fundamental limits in communication systems and more generally all systems.
  • 3) Develop deeper understanding of communication systems.
  • 4) Apply the concepts of information theory to various disciplines in information science.
Read more

Information Theory
 at 
Coursera 
Curriculum

Course Preliminaries

About this course

Grading Scheme

Week 1 Introduction

Chapter 1

Chapter 2 - Section 2.1 A

Chapter 2 - Section 2.1 B

Chapter 2 - Section 2.1 C

Chapter 2 - Section 2.2

Chapter 2 - Section 2.3

Assignment 1 Video Preview

Homework Assignment 1 Solution

Chapter 2 Information Measures - Part 2

Week 2 Introduction

Chapter 2 - Section 2.4

Chapter 2 - Section 2.5

Chapter 2 - Section 2.6

Chapter 2 - Section 2.7

Chapter 2 - Section 2.8

Chapter 2 - Section 2.10

Assignment 2 Video Preview

Homework Assignment 2 Solution

Chapter 3 The I-Measure - Part 1

Week 3 Introduction

Chapter 3 - Section 3.1

Chapter 3 - Section 3.3 A

Chapter 3 - Section 3.3 B

Chapter 3 - Section 3.4

Chapter 3 - Section 3.5 A

Assignment 3 Video Preview

Homework Assignment 3 Solution

Chapter 3 The I-Measure - Part 2

Week 4 Introduction

Chapter 3 - Section 3.5 B

Chapter 3 - Section 3.6 A

Chapter 3 - Section 3.6 B

Chapter 4 - Section 4.1

Chapter 4 - Section 4.2 A

Assignment 4 Video Preview

Homework Assignment 4 Solution

Chapter 4 Zero-Error Data Compression - Part 2

Week 5 Introduction

Chapter 4 - Section 4.2 B

Chapter 4 - Section 4.2 C

Chapter 4 - Section 4.3

Chapter 5 - Section 5.1

Chapter 5 -Section 5.2

Assignment 5 Video Preview

Homework Assignment 5 Solution

Chapter 6 Strong Typicality

Week 6 - Introduction

Chapter 6 - Section 6.1 A

Chapter 6 - Section 6.1 B

Chapter 6 - Section 6.2

Chapter 6 - Section 6.3 A

Chapter 6 - Section 6.3 B

Chapter 6 - Section 6.4

Assignment 6 Video Preview

Homework Assignment 6 Solution

Chapter 7 Discrete Memoryless Channels - Part 1

Week 7 Introduction

Chapter 7 - Section 7.1 A

Chapter 7 - Section 7.1 B

Chapter 7 - Section 7.2

Chapter 7 - Section 7.3 A

Chapter 7 - Section 7.3 B

Assignment 7 Video Preview

Homework Assignment 7 Solution

Chapter 7 Discrete Memoryless Channels - Part 2

Week 8 Introduction

Chapter 7 - Section 7.4 A

Chapter 7 - Section 7.4 B

Chapter 7 - Section 7.5

Chapter 7 - Section 7.6

Chapter 7 - Section 7.7

Assignment 8 Video Preview

Homework Assignment 8 Solution

Chapter 8 Rate-Distortion Theory - Part 1

Week 9 Introduction

Chapter 8 - Section 8.1

Chapter 8 - Section 8.2

Chapter 8 - Section 8.3 A

Chapter 8 - Section 8.3 B

Chapter 8 - Section 8.4

Assignment 9 Video Preview

Homework Assignment 9 Solution

Chapter 8 Rate-Distortion Theory - Part 2

Week 10 Introduction

Chapter 8 - Section 8.5 A

Chapter 8 - Section 8.5 B

Chapter 9 - Section 9.1

Chapter 9 - Section 9.2 A

Chapter 9 - Section 9.2 B

Assignment 10 Video Preview

Homework Assignment 10 Solution

Chapter 9 The Blahut-Arimoto Algorithms - Part 2

Week 11 Introduction

Chapter 9 - Section 9.2 C

Chapter 9 - Section 9.3

Chapter 10 - Section 10.1 A

Chapter 10 - Section 10.1 B

Assignment 11 Video Preview

Homework Assignment 11 Solution

Chapter 10 Differential Entropy - Part 2

Week 12 Introduction

Chapter 10 - Section 10.2

Chapter 10 - Section 10.3 A

Chapter 10 - Section 10.3 B

Chapter 10 - Section 10.4

Chapter 10 - Section 10.5

Chapter 10 - Section 10.6

Assignment 12 Video Preview

Homework Assignment 12 Solution

Chapter 11 Continuous-Valued Channels - Part 1

Week 13 Introduction

Chapter 11 - Section 11.1

Chapter 11 - Section 11.2

Chapter 11 - Section 11.3 A

Chapter 11 - Section 11.3 B

Assignment 13 Video Preview

Homework Assignment 13 Solution

Chapter 11 Continuous-Valued Channels - Part 2

Week 14 Introduction

Chapter 11 - Section 11.4

Chapter 11 - Section 11.5

Chapter 11 - Section 11.6

Assignment 14 Video Preview

Homework Assignment 14 Solution

Chapter 11 Continuous-Valued Channels - Part 3

Week 15 Introduction

Chapter 11 - Section 11.7 A

Chapter 11 - Section 11.7 B

Chapter 11 - Section 11.8

Chapter 11 - Section 11.9

Assignment 15 Video Preview

Homework Assignment 15 Solution

Other courses offered by Coursera

– / –
3 months
Beginner
– / –
20 hours
Beginner
– / –
2 months
Beginner
– / –
3 months
Beginner
View Other 6726 CoursesRight Arrow Icon
qna

Information Theory
 at 
Coursera 

Student Forum

chatAnything you would want to ask experts?
Write here...