information Theory Course
This course offers a practical introduction to information theory, focusing on entropy, coding techniques, and error handling in data transmission.

from 4 to 360h flexible workload
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 per 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 workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
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