Course Code | Course Name | Credit |
---|---|---|
EE 501 | Probability & Stochastic Processes | (3+0+0) 3 |
Discrete and continuous probability and random variables. Joint distribution and density functions. Law of large numbers. Central limit theorem. Stationary and non-stationary stochastic processes. Gaussian, Poisson and Markov processes. Wiener and Kalman filters. Linear mean-square. Estimation and prediction. | ||
EE 505 | Information Theory and Coding | (3+0+0) 3 |
Measure of information; entropy and Shannon's coding. Noisy coding theorem; information source modeling and noiseless source coding; discrete channel models and channel capacity; linear block coding and decoding; cylic codes and decoding process, BSC and Reed-Solon codes, convolution coding and Viterbi decoding; trellis coded modulation. | ||
EE 550 | Advanced Digital Signal Processing | (3+0+0) 3 |
Advanced techniques in signal processing. Time and frequency domain processing, time-dependent frequency representations, spectral estimation, adaptive filtering and estimation. Detailed treatment of speech processing, image processing and/or video encoding, as well as radar signal processing. | ||
EE 551 | Adaptive Signal Processing | (3+0+0) 3 |
Stationary processes. Linear optimum filtering. Linear prediction. Wiener filter. Kalman filter. Linear adaptive filtering. Steepest descent, LMS and RLS algorithms. Nonlinear adaptive filtering. | ||
EE 552 | Array Signal Processing | (3+0+0) 3 |
Introduction to signals and systems. Review of Fourier transform. Sampling of continuous and discrete-time signals. Aperture and arrays: diffraction from apertures, near-field and far-field approximations, arrays as sampled apertures. Beamforming: beam pattern, beam space sampling, computational complexity of beamforming, beamforming architectures, adaptive beamforming. Selected topics in array signal processing: subarray processing and two-dimensional array processing. | ||
EE 560 | Advanced Microwave Circuit Design | (3+0+0) 3 |
Characterization and analysis of linear circuits at microwave frequencies: Brune functions, Piloty functions, realizability conditions for lossless networks. Matrix representation of microwave networks. Generalized scattering parameters. Scattering description of lossless two-ports. Distributed Richards frequency transformation and theorem. Microwave filter design. Theory of broadband matching: analytic and semianalytic approaches. Mixed lumped - distributed network design and modeling. | ||
EE 562 | Microwave Amplifiers | (3+0+0) 3 |
Active circuits at microwave frequencies. Noise parameters: SNR, noise figure, noise temperature.. Microwave transistor amplifier design: gain stability, low noise amplifiers, power amplifiers, broadband amplifiers. Numerical methods for multistage amplifier design. | ||
EE 570 | Digital Communications | (3+0+0) 3 |
Sampling theorem, baseband and passband digital communication systems. Digital modulation techniques: PAM, FSK, PSK, QAM systems. Characteristics of baseband and passband communication channels. Channel equalization, optimal receiver design. Line, convolutional and trellis coding. Timing and carrier synchronization. | ||
EE 571 | Mobile Communication Systems | (3+0+0) 3 |
Cellular planning, mobile radio propagation and path loss. Characterization of multipath fading channels. Modulation and equalization techniques for mobile radio systems. Source coding techniques. Multiple access alternatives. Code division multiple access (CDMA) system design. Capacity calculations. | ||
EE 572 | Wireless Communications | (3+0+0) 3 |
Wireless communications systems. Cellular communications concepts. An overview of digital communications. Modelling of wireless channels. Simulation techniques for wireless communication systems. Digital communication over fading channels. Diversity techniques for fading channels. Orthogonal frequency division multiplexing (OFDM). Multiple access techniques in wireless communications: FDMA, TDMA, direct sequence spread spectrum, CDMA. Wireless standards: first generation cellular systems, second generation cellular systems. | ||
EE 575 | Communication Networks | (3+0+0) 3 |
Network architectures. Protocols and routing in store-and-forward networks. Satellite and packet radio networks. Local area networks. Introduction to performance analysis. Related hardware issues. | ||
EE 576 | Wireless Networks | (3+0+0) 3 |
Fundamental techniques in design and operation of first and second generation wireless networks. Cellular systems. Medium access techniques. Control of a mobile session and mobile call. Signalling in mobile networks. Mobility management techniques. Common air protocols (AMPS, IS-136, IS-95, GSM). Wireless data networks (CDPD, Mobitex). Internet mobility. Personal communication services. | ||
EE 580 | Term Project | Non-credit |
In depth study of an electronics engineering topic by M.S. students in the non-thesis option under the guidance of a faculty member. | ||
EE 587 | ECG Signal Processing | (3+0+0) 3 |
Description of the ECG signal in terms of its morphology and rhythm, noise and artifact reduction, QRS detection delineation, ECG modeling and compression methods, heart rate variability, feature extraction and classification, biometric recognition. | ||
EE 581-589 | Special Topics in Electronics Engineering | (3+0+0) 3 |
Study of special topics chosen among the recent technological or theoretical developments in electronics engineering. | ||
EE 590 | M.S. Thesis | Non-credit |
Preparation of a M.S. thesis by students of the M.S. program with thesis option under the guidance of an academic advisor. | ||
EE 601 | Estimation Theory | (3+0+0) 3 |
Estimators. Properties of estimators. Methods for estimation of deterministic parameters. Minimum variance estimation. Maximum likelihood and the method of moments. Estimation of random parameters. Minimization of general loss functions; minimum mean squared error and maximum a posteriori estimators. Sequential and recursive estimation using least squares and Kalman filter approach. Monte-Carlo methods. | ||
EE 620 | Linear System Theory | (3+0+0) 3 |
Mathematical background: linear spaces, linear transformations, normed linear spaces, convergence. Basic system concepts, state space and input-output representation. Time varying and time-invariant linear systems. Controllability, observability and stability definitions. Realization, minimal realization problem and methods. Eigenvalue placement by output and state feedback. Observer design. | ||
EE 672 | High Speed Communication Networks | (3+0+0) 3 |
Descriptions, models and approaches to the design and management of networks. Analysis of optical transmission and switching technologies using deterministic, stochastic and simulation models. FDDI, DQDB, SMDS, Frame Relay, ATM networks and SONET. Applications demanding high speed communication. | ||
EE 681-689 | Special Studies in Electronics Engineering | (3+0+0) 3 |
Study of current research topics in electronics engineering by Ph.D. students under the guidance of a faculty member and presentation of the chosen topic. | ||
EE 690 | Ph.D. Thesis | Non-credit |
Preparation of a Ph.D. thesis under the guidance of an academic advisor. |