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information Theory Course

information Theory Course
flexible workload of 4 to 360h
valid certificate in your country

What will I learn?

This Information Theory Course provides a quick, hands-on way to master entropy, fixed-length and prefix-free variable-length coding, and Huffman-style design. You will model a 10-symbol log source, calculate compression efficiency, encode actual messages, and assess noisy channel impacts, error detection, error correction, and implementation trade-offs to create reliable, space-saving data systems.

Elevify advantages

Develop skills

  • Design entropy-based codes: compute H, bits/symbol, and inefficiency quickly.
  • Build Huffman-style prefix codes: map symbols to optimal bitstrings fast.
  • Model text sources: estimate symbol probabilities from real English logs.
  • Analyze noisy channels: quantify bit errors, error propagation, and BER.
  • Balance compression and reliability: choose block sizes, redundancy, and tests.

Suggested summary

Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload
Workload: between 4 and 360 hours

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Very great course. Lots of valuable information.
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