6.02
Fall 2011

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SW installation
Python
Numpy
Matplotlib

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6.02
Introduction to EECS II: Digital Communication Systems

Prereq.: 18.03, 6.01
Units: 4-4-4 An introduction to fundamental ideas in electrical engineering and computer science, using digital communication systems as the vehicle. The three parts of the course -- bits, signals, and packets -- cover three corresponding layers of abstraction relevant to the system: binary representation, compression, and error correction for messages transmitted across a noisy link; signal representation of binary messages for transmission across a shared physical channel subject to distortion and noise; and efficient, reliable communication across networks made up of multiple links.

Topics include information and entropy, compression, error-correction codes, Gaussian noise, linear-time invariant channel models, frequency-domain (Fourier) analysis, spectral content of signals and filtering, modulation, media access protocols, network routing, and reliable data transport. The course teaches ideas that are useful in other parts of EECS: abstraction, probabilistic analysis, superposition, time- and frequency-domain representations, system design principles and trade-offs, and centralized and distributed algorithms.

6 Engineering Design Points.
1/2 Institute Lab