A PDF version of the course outline and policies is available here.

Major topics to be covered include: (from the calendar description)

• Review of probability and random variables
• Introduction to stochastic processes and noise
• Introduction to information theory: Shannon's Source Coding and Channel Coding Theorems
• Source coding: Lossless coding (Huffman, Arithmetic, and Dictionary codes) versus lossy coding (Predictive and transform coding)
• Analog to digital conversion: Sampling and quantization
• Baseband transmission
• Binary signal detection and matched filtering
• Intersymbol interference and channel capacity
• Digital bandpass modulation and demodulation schemes
• Error performance analysis of M-ary schemes
• Channel coding: Linear block, cyclic, and convolutional codes
• Decoding techniques for convolutional codes, Viterbi algorithm
• Synchronization techniques
• Spread spectrum modulation: Direct sequence and frequency hopping