×
Create CV Books Summaries Online Courses Blog Communities

Login

Sign up
MindLuster Logo
Categories
Recent

Join Our Telegram Channel Now to Get Any New Free Courses : Click Here

Information Theory Basics

Track :

Computer Science

Lessons no : 22

For Free Certificate After Complete The Course

To Register in Course you have to watch at least 30 Second of any lesson

Join The Course Go To Community Download Course Content

What will you learn in this course?
  • Understand the core principles of information theory including entropy, data compression, and data transmission efficiency
  • Apply Shannon's theorems to optimize data encoding and improve communication systems
  • Analyze information content and measure data uncertainty using entropy and related metrics
  • Implement basic data compression algorithms to reduce data size without loss of information
  • Evaluate error detection and correction techniques in digital communication systems
  • Utilize coding theory concepts to enhance data reliability and integrity in noisy channels
  • Interpret the role of information theory in modern data communication and network security
  • Develop practical skills for designing efficient data encoding and decoding schemes
  • Assess the impact of information theory on data storage, transmission, and cybersecurity
  • Integrate information theory concepts to solve real-world problems in data communication and digital systems

How to Get The Certificate

  • You must have an account Register
  • Watch All Lessons
  • Watch at least 50% of Lesson Duration
  • you can follow your course progress From Your Profile
  • You can Register With Any Course For Free
  • The Certificate is free !
Lessons | 22
Information Basics Definition Uncertainty Properties in Digital Communication
00:16:58

Information Basics Definition Uncertainty Properties in Digital Communication
Examples on Information in Digital Communication by Engineering Funda
00:10:08

Examples on Information in Digital Communication by Engineering Funda
Entropy basics Definition Properties in Digital Communication by Engineering Funda
00:07:55

Entropy basics Definition Properties in Digital Communication by Engineering Funda
Entropy basics Definition Properties in Digital Communication by Engineering Funda
00:07:55

Entropy basics Definition Properties in Digital Communication by Engineering Funda
Entropy source efficiency redundancy information rate in digital communication by Engineerin
00:18:06

Entropy source efficiency redundancy information rate in digital communication by Engineerin
Shannon Fano Encoding Algorithm Procedure Example Information Theory Error Coding
00:11:55

Shannon Fano Encoding Algorithm Procedure Example Information Theory Error Coding
Shannon Fano Encoding Example Information Theory Error Coding in Digital Communication
00:10:14

Shannon Fano Encoding Example Information Theory Error Coding in Digital Communication
Shannon Fano Encoding Example on Ambiguity Information Theory Error Coding in Digital Commun
00:14:50

Shannon Fano Encoding Example on Ambiguity Information Theory Error Coding in Digital Commun
Huffman Coding Algorithm Procedure Example Information Theory Error Coding
00:15:17

Huffman Coding Algorithm Procedure Example Information Theory Error Coding
Huffman Coding Algorithm Example on ternary codes Information Theory Error Coding
00:10:51

Huffman Coding Algorithm Example on ternary codes Information Theory Error Coding
Huffman Coding Algorithm procedure Example on Quaternary Codes Information Theory
00:11:22

Huffman Coding Algorithm procedure Example on Quaternary Codes Information Theory
1 Lempel Ziv Coding Procedure of Lempel Ziv Coding Example of Lempel Ziv Coding
00:14:30

1 Lempel Ziv Coding Procedure of Lempel Ziv Coding Example of Lempel Ziv Coding
2 Lempel Zip Coding Procedure of Lempel Ziv Coding Example of Lempel Ziv Coding
00:13:38

2 Lempel Zip Coding Procedure of Lempel Ziv Coding Example of Lempel Ziv Coding
Channel Capacity by Shannon Hartley and Proof of channel Capacity by Shannon Hartley
00:10:23

Channel Capacity by Shannon Hartley and Proof of channel Capacity by Shannon Hartley
Example on Channel Capacity by Shannon Hartley in Digital Communication by Engineering Funda
00:11:06

Example on Channel Capacity by Shannon Hartley in Digital Communication by Engineering Funda
Probability basics Example in Random Variables by Engineering Funda
00:16:33

Probability basics Example in Random Variables by Engineering Funda
Mean Variance Standard Deviation in Random Variable by Engineering Funda
00:10:26

Mean Variance Standard Deviation in Random Variable by Engineering Funda
Example on Mean Variance Standard Deviation in Random Variable
00:12:12

Example on Mean Variance Standard Deviation in Random Variable
Cumulative Distribution Function CDF Probability Density Function PDF in Random Variable
00:18:32

Cumulative Distribution Function CDF Probability Density Function PDF in Random Variable
Examples on CDF and PDF in Random Variable by Engineering Funda
00:12:33

Examples on CDF and PDF in Random Variable by Engineering Funda
Examples on CDF and PDF in Random Variable by Engineering Funda
00:15:39

Examples on CDF and PDF in Random Variable by Engineering Funda
Examples on CDF and PDF in Random Variable by Engineering Funda
00:10:43

Examples on CDF and PDF in Random Variable by Engineering Funda


We Appreciate Your Feedback

Be the First One Review This Course

Excellent
0 Reviews
Good
0 Reviews
medium
0 Reviews
Acceptable
0 Reviews
Not Good
0 Reviews
0
0 Reviews
haile mengistu

GOOD 2023-12-07

Our New Certified Courses Will Reach You in Our Telegram Channel
Join Our Telegram Channels to Get Best Free Courses

Join Now

Related Courses

Linear Algebra for Computer Scientists
7 Lessons

Linear Algebra for Computer Scientists

Insertion Sort
3 Lessons

Insertion Sort

Bubble Sort
4 Lessons

Bubble Sort

GCSE Computer Science
18 Lessons

GCSE Computer Science

Random Access Memory
7 Lessons

Random Access Memory

Binary Trees
4 Lessons

Binary Trees

Bitwise Operators
4 Lessons

Bitwise Operators

Introduction to Stacks Data Structures
17 Lessons

Introduction to Stacks Data Structures

Organization Theory Structure and Design
41 Lessons

Organization Theory Structure and Design

Handling Large Scale Unit Level Data
41 Lessons

Handling Large Scale Unit Level Data

Introduction to Machine Learning
19 Lessons

Introduction to Machine Learning

Applied Linear Algebra Vectors Matrices
54 Lessons

Applied Linear Algebra Vectors Matrices

Artificial Intelligence beginners
1 Lessons

Artificial Intelligence beginners

Machine Learning Autumn 2018
1 Lessons

Machine Learning Autumn 2018

Robotics and Autonomous Systems
15 Lessons

Robotics and Autonomous Systems

Natural Language Understanding
15 Lessons

Natural Language Understanding

Information Theory course in hindi, In this course we'll explore Information Theory, a fundamental concept in data communication and coding theory.