information Theory Course
This course offers hands-on experience in information theory, covering entropy, coding techniques, source modeling, noisy channel analysis, and balancing compression with reliability for efficient data systems.

4 to 360 hours of flexible workload
certificate valid in your country
What Will I Learn?
This Information Theory Course provides a quick, 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, calculate compression efficiency, encode actual messages, and assess noisy channel impacts, error detection, error correction, and implementation trade-offs to create 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 swiftly.
- 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.What our students say
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