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information Theory Course

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

What will I learn?

This Information Theory Course provides a swift, practical route to mastering entropy, fixed-length and prefix-free variable-length coding, and Huffman-style design. You will model a 10-symbol log source, compute compression efficiency, encode real messages, and evaluate noisy channel effects, error detection, error correction, and implementation trade-offs so you can design reliable, space-efficient 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 rapidly.
  • Model text sources: estimate symbol probabilities from real English logs.
  • Analyse 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

What our students say

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Great course. Lots of valuable information.
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