ENGR 76: Information Science and Engineering
Approximate Lecture Plan
Lecture 1: Introduction
Lecture 2: What is Information? Probability and Entropy
Lecture 3: Lossless Compression and Huffman Coding
Lecture 4: Fundamental Limits of Compression
Lecture 5: Joint Entropy and Block Coding
Lecture 6: Signals and Frequency Representation
Lecture 7: Fourier Series and Fourier Cosine Series
Lecture 8: Fourier Transform and Discrete Fourier Transform
Lecture 9: Analog to Digital: the Sampling Theorem
Lecture 10: Digital to Analog: Interpolation and the Stroboscopic Effect
Lecture 11: Communication Channels and Systems
Lecture 12: Modulation and Bandwidth, On-Off Keying, Upconversion,
Lecture 13: Error Correcting Codes
Lecture 14: Hamming codes, Hadamard codes, Convolutional codes
Lecture 15: Convolutional Codes and Viterbi Decoding
Lecture 16: “The Bit Player”
Lecture 17: Conditional Probability, Bit Error Rates
Lecture 18: Decision Making with noisy observations, MAP and ML Rules
Lecture 19: TBD
Lecture 20: TBD
Further topics TBD depending on time and interest:
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