1. IntroductionReview of key results from Digital Communications I2. Fundamentals of Information TheoryEntropy, mutual information, channel models, channel capacity.3. Source CodingSource coding theorems, coding for discrete sources, coding for analog sources.4. Channel codingChannel coding theorem, block codes, convolutional codes, trellis-coded modulation, concatenated codes, automatic repeat request.5. Fading channelsChannel characterization, narrowband and wideband characteristics, diversity techniques, receiver signal processing.6. Spread spectrum and wideband communicationsDirect-sequence spread spectrum, frequency-hopped spread spectrum, multi-channel and multi-carrier communications.7. Multiuser communicationsMultiple access techniques, TDMA, CDMA, and FDMA, random access methods, multi-user detectionReferences:1. J. G. Proakis, Digital Communications, 4th Ed., McGraw Hill, 2000.2. R. E. Ziemer and R. L. Peterson, Introduction to Digital Communication, 2nd Ed., Prentice Hall, 2001.3. E. A. Lee and D. G. Messerschmitt, Digital Communications, 2nd Ed., KAP, 1994.4. J. M. Wozencraft and I. M. Jacobs, Principles of Communication Engineering, Wiley, 1965.5. T. M Cover and J. A. Thomas, Elements of Information Theory, Wiley, 1991.Grading Homework: 30% Term Project: 30% Quizes and Final: 40%Prerequisites: ProbabilitySignals and SystemsPrinciples of CommunicationsDigital Communications I