Watch Current Video List All Videos ✓ Introduction Discussion Forum ✓ Measuring Information: Bits 1.1 Measuring Information: Bits ✓ Video Download Video Subtitles & Transcripts ✓ Adding Up Bits 1.2 Adding Up Bits ✓ Video Download Video Subtitles & Transcripts ✓ Using Bits to Count and Label Bits to Count and Label ✓ Video Download Video Subtitles & Transcripts ✓ Quiz 1 ✓ Quiz 1 Solutions ✓ Forms of Information ✓ Physical Forms of Information ✓ Video Download Video Subtitles & Transcripts ✓ Entropy ✓ Video Download Video Subtitles & Transcripts ✓ Quiz ✓ Quiz Solutions ✓ Information and Probability ✓ Information and Probability ✓ Video Download Video Subtitles & Transcripts ✓ Quiz ✓ Quiz Solutions ✓ Fundamental Formula of Information ✓ Fundamental Formula of Information ✓ Video Download Video Subtitles & Transcripts ✓ A note on Stirling's Approximation ✓ Quiz ✓ Quiz Solutions ✓ Computation and Logic: Information Processing ✓ Computation and Logic: Information Processing ✓ Video Download Video Subtitles & Transcripts ✓ Mutual Information ✓ Mutual Information ✓ Video Download Video Subtitles & Transcripts ✓ A Note on Information Notation ✓ Quiz ✓ Quiz Solutions ✓ Communication Capacity in a Noisy Channel ✓ Communication Capacity in a Noisy Channel ✓ Video Download Video Subtitles & Transcripts ✓ Quiz ✓ Quiz ✓ Shannon's Coding Theorem ✓ Shannon's Coding Theorem ✓ Video Download Video Subtitles & Transcripts ✓ Some Notes on Channel Capacity ✓ Quiz ✓ Quiz Solutions ✓ The Manifold Things Information Measures ✓ The Manifold Things Information Measures ✓ Video Download Video Subtitles & Transcripts ✓ Quiz ✓ Quiz Solutions ✓ Homework ✓ Homework ✓ Homework ✓ Homework Solutions ✓ Homework Solutions ✓ Tutorial Evaluation - Please Complete! ✓ 8.1 Shannon's Coding Theorem » Quiz Quiz scores are NOT recorded. You may come back to quizzes and take them as many times as you like When you are finished, clicking the "Score" button at the bottom of the test will show you the correct responses. View:BuildPreviewQuestion 1Shannon’s Noisy Channel Coding Theorem states that the maximal rate at which a sender can send information to a receiver across a channel is determined byAnswer 1A. the probability of error across the channelAnswer 2B. The mutual information between the sender and receiverAnswer 3C. the entropy of the sender’s distribution of signalsAnswer 4D. The entropy of the receiver’s distribution of signalsQuestion 2Alice wants to send communicate messages to Bob. Alice can send one of 100 possible messages, but we don’t know the distribution according to which Alice will choose the different messages. In the worst case, what is the minimum channel capacity needed for Alice to communicate with Bob with vanishing error rates?Answer 1A. 0.46 bitsAnswer 2B. 1 bit Answer 3C. 6.64 bits Answer 4D. 100 bits