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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?

Gain practical expertise in information theory by mastering entropy calculations, fixed-length and prefix-free coding techniques, and Huffman coding designs. Model sources with 10 symbols, assess compression ratios, encode actual messages, and analyse noisy channels for error detection, correction, and trade-offs to build efficient data systems.

Elevify advantages

Develop skills

  • Design entropy-based codes by computing H, bits per symbol, and inefficiency swiftly.
  • Build Huffman-style prefix codes to assign optimal bitstrings to symbols efficiently.
  • Model text sources and estimate symbol probabilities from real English language data.
  • Analyse noisy channels to quantify bit errors, propagation effects, and bit error rates.
  • Balance compression efficiency with reliability by selecting block sizes, redundancy levels, and validation 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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