Quantifying and transmitting information: entropy, joint and conditional entropy, mutual information and KL divergence, the source-coding theorem and Huffman codes, channel capacity, Shannon's noisy-channel coding theorem, error-correcting and Hamming codes, and Kolmogorov complexity.
Free to start · adaptive placement finds your level · reviews timed to your own forgetting.
Every idea is taught with motivation and a worked example before the drills, and an FSRS spaced-repetition engine schedules each review for the day its model predicts you would forget it. A short placement check finds what you already know, so you start Information & Coding Theory exactly where it's useful.