Diploma in Information Coding Theory

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Level

Intermediate

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Last updated on June 22, 2025 8:52 pm

Earn a diploma in information technology and learn how coding theory can reduce digital ‘noise’ and ensure the accuracy of data transmitted over a network.

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Are you aware of the procedure for eliminating redundancy in data communication? This course focuses on responding to this question by explaining the significance of error control coding in a digital communication system. Study the applications of source and channel coding techniques in real-world situations and learn about the methods of constructing robust error-correcting codes by concatenating simple codes.

What You Will Learn In This Free Course

  • Discuss the basic properties of vari…
  • Identify the relationship between pr…
  • Explain the basic properties of Shan…
  • Discuss the differences between entr…
  • Discuss the basic properties of variable-length codes
  • Identify the relationship between prefix-free code and Kraft?s inequality
  • Explain the basic properties of Shannon and Huffman codes
  • Discuss the differences between entropic and universal compression
  • Identify the relationship between arithmetic code and Shannon?Fano?Elias code
  • Explain the differences between entropic and hash-based compression schemes
  • Outline the concept of the channel coding
  • Describe the notion of the channel capacity
  • Explain the various channels of communication problem
  • Identify the relationship between channel capacity and Shannon?s channel coding theorem
  • Discuss the basic properties of the repetition code
  • Describe the different proofs of the channel coding theorem
  • Entropic Compression

    This module provides an overview of the fundamentals of coding a discrete information source for compressing its messages. You will study the significant parameters of the coding process that ensures the elimination of redundancy.

    Compression of Databases

    This module describes the various techniques used to compress databases. You will study the various schemes and bounding strategies used for reducing the storage space.; Module

    First Course assessment

    This assessment enables you to review your learning so you can determine your knowledge and understanding of the following course: Diploma in the Foundations of Information Theory – First Course Assessment. If you do not achieve the required grade after the first attempt, you can retake the assessment until a successful outcome is achieved.

    Channel Coding

    This module describes the notion of channel coding in information theory. You will be taught about the procedures for tracing and rectifying blunders during the communication process.; Module

    Gaussian Channels

    The module explains the process of mimicking the effect of random processes using additive gaussian noise channels. You will study the procedure for determining the continuous probability distributions of random variables and the significance of the water filling technique in enhancing capacity in noisy channels.

    Second Course assessment

    This assessment enables you to review your learning so you can determine your knowledge and understanding of the following course: Diploma in the Foundations of Information Theory – Second Course Assessment. If you do not achieve the required grade after the first attempt, you can retake the assessment until a successful outcome is achieved.

    Course assessment

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      Diploma in Information Coding Theory
      Diploma in Information Coding Theory
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