ELECTRICAL AND COMPUTER ENGINEERING This option, offered by Electrical and Computer Engineering, recommends six core courses and four technical electives. Specifically, the Communication and Signal Processing option students could take all six courses from this area, or a minimum of four courses from this area and up to two courses from either Computer or Software Engineering. The Computer Engineering option students could either take five courses from that area and one course from Software Engineering or they could take four courses from Software Engineering and two courses from Computer Engineering. The major and minor core areas are selected by the student. Students should consult with their advisor prior to registering. Software Engineering is available as a GCEN only. Admission Requirements Full admission as a degree seeking student requires the following prerequisites: ◊ A bachelor’s degree, GPA of 3.0 or better, in engineering; Computer, Electrical, from an accredited institution. ◊ Courses in mathematics (Calculus I, II, III, & Differential Equations) are required to be considered for admission. Specific prerequisite requirements for specialization: ◊ Communications & Signal Processing: ENEE 204 or 205, ENEE 322, 324, 420 & 425, or equivalent ◊ Computer Engineering: ENEE 150, 244, 350, 440 & 446, or equivalent Communication and Signal Processing Core ENPM 600 Probability and Stochastic Processes for Engineers (3) Prerequisite: undergraduate introduction to discrete and continuous probability. Axioms of probability; conditional probability and Bayes’ rule; random variables, probability distributions and densities; functions of random variables; definition of stochastic process; stationary processes, correlation functions, and power spectral densities; stochastic processes and linear systems; estimation and optimum filtering. Applications in communication and control systems, signal processing, and detection and estimation. ENPM 601 Analog and Digital Communication Systems (3) Prerequisite: ENPM 600 or equivalent. Analog modulation methods including AM, DSBSC-AM, SSB, and QAM; effects of noise in analog modulation systems. Digital communication methods for the infinite bandwidth additive white Gaussian noise channel: PAM, QAM, PSK, FSK modulation; optimum receivers using the MAP principle; phase-locked loops; error probabilities. Digital communication over bandlimited channels: intersymbol interference and Nyquist’s criterion, adaptive equalizers, symbol clock and carrier recovery systems, trellis coding. Spread spectrum systems: direct sequence modulation and frequency hopping. ENPM 602 Data Networks (3) Prerequisite: ENEE 324 or equivalent. Principles of network design, circuit switching and packet switching, OSI Reference Model: parity and cyclic redundancy check codes; retransmission request protocols; Markov chains and queuing models for delay analysis; multiaccess communication, local area networks, Ethernet and Token Ring standards; routing, flow control, internetworking; higher layer functions and protocols. Software tools for network
A. James Clark School of Engineering
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