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An Introduction to Coding Theory

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Preview this course
Self-paced Advanced

An Introduction to Coding Theory

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FREE
1236 min
Anytime
English
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Why enroll

People join this course to understand the core principles behind error detection and error correction used in real-world communication systems. It is especially useful for students and professionals in electronics, communication engineering, computer science, and information theory who want to strengthen their theoretical foundation and improve their problem-solving skills. The course also helps learners prepare for higher studies, research, competitive exams, and careers in fields like wireless communication, data transmission, and digital system design.

Is this course for you?

You should take this if

  • You work in Telecommunication
  • You're a Electronics & Telecommunication / Instrumentation Engineering professional
  • You have 3+ years of hands-on experience in this field
  • You prefer self-paced learning you can revisit

You should skip if

  • You're new to this field with no prior experience
  • You need a different specialisation outside Electronics & Telecommunication
  • You need live interaction with an instructor

Course details

An Introduction to Coding Theory provides a foundational understanding of how information is encoded, transmitted, and decoded reliably over noisy communication channels. The course focuses on mathematical and practical techniques used to detect and correct errors in digital communication and data storage systems. It bridges concepts from linear algebra, probability, and digital communications to explain how modern technologies such as mobile networks, satellite communication, QR codes, and data storage devices achieve high reliability.

SOURCE - NPTEL [YOUTUBE]

Course suitable for

Key topics covered

  1. Basics of information theory and communication channels

  2. Types of errors in digital communication systems

  3. Linear block codes and their properties

  4. Hamming codes and error correction capability

  5. Cyclic codes and generator polynomials

  6. Encoding and decoding techniques

  7. Syndrome decoding and error detection methods

  8. Introduction to convolutional codes

  9. Applications of coding theory in communication and data storage

Course content

The course is readily available, allowing learners to start and complete it at their own pace.

33 lectures20 hr 36 min

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