information Theory Course
This course offers hands-on experience in information theory, covering entropy, coding techniques, source modeling, channel analysis, and system design for efficient data handling.

4 to 360 hours flexible workload
valid certificate 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'll model a 10-symbol log source, calculate compression efficiency, encode real messages, and assess noisy channel effects, error detection, error correction, and implementation trade-offs to design reliable, space-efficient data systems.
Elevify advantages
Develop skills
- Design entropy-based codes: compute H, bits/symbol, and inefficiency fast.
- Build Huffman-style prefix codes: map symbols to optimal bitstrings quickly.
- 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 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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