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information Theory Course

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

What will I learn?

Gain practical mastery in information theory, covering entropy calculations, fixed-length and prefix-free coding, Huffman-style designs, modelling symbol sources, compression efficiency, noisy channel analysis, error detection, correction, and trade-offs for building reliable, efficient data systems.

Elevify advantages

Develop skills

  • Design entropy-based codes by computing H, bits per symbol, and inefficiency quickly.
  • Build Huffman-style prefix codes to map symbols to optimal bitstrings efficiently.
  • Model text sources and estimate symbol probabilities from real English logs.
  • Analyse noisy channels to quantify bit errors, propagation, and bit error rates.
  • Balance compression and reliability by selecting block sizes, redundancy, and testing methods.

Suggested summary

Before starting, you can change the chapters and 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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The course was essential to meet my boss's and the company's expectations.
SilviaNurse
Very great course. Lots of rich information.
WiltonCivil Firefighter

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