C = Co Requisite
ECE 60000 Random Variables and Signals (3) Class: 3 Lab: 0 Rec: 0 P: ECE 44000 or ECE 48300 or graduate standing C: None Engineering applications of probability theory. Problems of events, independence, random variables, distribution and density functions, expectations, and characteristic functions. Dependence, correlation, and regression; multivariate Gaussian distribution. Stochastic processes, stationarity, ergodicity, correlation functions, spectral densities, random inputs to linear systems, Gaussian processes.
ECE 60200 Lumped System Theory (3) Class: 3 Lab: 0 Rec: 0 P: ECE 30100, MATH 511, consent of inst (3 cr.) Class 3. An investigation of basic theory and techniques of modern system theory, emphasizing linear state model formulations of continuous- and discrete-time systems in the time and frequency domains. Coverage includes notion of linearity, time invariance, discrete- and continuous-times state models, canonical forms, associated transfer functions and impulse response models, the state transition matrix, the Jordan form, controllability, observability, and stability.
ECE 60600 Solid State Devices (3) Class: 3 Lab: 0 Rec: 0 P: Graduate standing or consent of instructor C: None A relatively broad, moderate-depth coverage of semiconductor devices and related topics. Semiconductor fundamentals required in the operational analysis of solid-state devices; detailed examination of the positive-negative (PN) junction diode and PN junction devices; heterojunction surface devices including Schottky diode, the MOS capacitor, and the MOSFET.
ECE 60800 Computational Models and Methods (3) Class: 3 Lab: 0 Rec: 0 P: ECE 35900 or equivalent or graduate standing C: None Computation models and techniques for the analysis of algorithm complexity. The design and complexity analysis of recursive and nonrecursive algorithms for searching, sorting, and set operations; graph algorithms; matrix multiplication; polynomial evaluation; FFT calculations; and NP-complete problems.
| ECE 61000 - Energy Conversion (3) Class: 3, Prerequisite: Graduate student standing or higher. |
| Basic principles of static and electromechanical energy conversion. Control of static power converters. Reference frame theory applied to the analysis of rotating devices. Analysis and dynamic characteristics of induction and synchronous machines. State variable analysis of electromechanical devices and converter supplied electromechanical drive systems. Typically offered in the Fall. |
ECE627 Cryptography & Intro. To Secure Comm. (3) Class
This course introduces the basic concepts of cryptography. Various encryption systems and cryptographic protocols are presented including transposition and substitution systems, block ciphers, stream ciphers, and public-key cryptosystems. The background and the design criteria of cryptographic protocols and ciphers are discussed in detail. Methods used to attack ciphers will be discussed as well as remedies. Within the course we will develop the mathematical tools that are needed. We will discuss how cryptography a_ects many of the communication protocols that are commonly used.
ECE 63700 Digital Image Processing I (3) Class: 3 Lab: 0 Rec: 0 P: ECE 30200 and ECE 53800, or graduate standing or equivalent C: None Introduction to digital image-processing techniques for enhancement, compression, restoration, reconstruction, and analysis. 2-D signals and systems; sampling and scanning; random fields; discrete cosine transform; discrete Karhunen-Loeve transform; grayscale transformations; linear, ranked order, and morphological filters; human vision, printing, and display of images; entropy-based compression; vector quantization; block truncation coding; transform coding; predictive coding; image degradation models; Wiener filter; constrained deconvolution; computed tomography; edge detection; shape representation; and segmentation.
ECE 66200 Pattern Recognition and Decision-Making Processes (3) Class: 3 Lab: 0 Rec: 0 P: 30200, graduate standing or equivalent C: None Introduction to the basic concepts and various approaches of pattern recognition and decision making process. The topics include various classifier designs, evaluation of classifiability, learning machines, feature extraction and modeling.
ECE 68000 Modern Automatic Control (3) Class: 3 Lab: 0 Rec: 0 P: ECE 60200, graduate standing or consent of instructor C: None Theoretical methods in optimal control theory. Topics include the calculus of variations and the Pontryagin minimum principle with applications to minimum energy problems. Geometric methods will be applied to the solution of minimum time problems. Computational methods, singular problems, observer theory, and sufficient conditions for existence of solutions are also discussed.
ECE 68400 Linear Multivariable Control (3) Class: 3 Lab: 0 Rec: 0 P: ECE 60200, graduate standing or equivalent. C: None. A state space investigation of multi-input multi-output control design problems from the geometric perspective. The course will detail the theory and design algorithms needed for a solution to the state feedback eigenvalue assignment problem, the disturbance decoupling problem with and without internal stability, the output stabilization problem, and the tracking (or regulator) problem with internal stability.
ECE 68500 Introduction to Robust Control (3) Class: 3 Lab: 0 Rec: 0 P: ECE 60200, graduate standng or equivalent. C: None. Introduction to the analysis and design of robust feedback control systems. Modeling and paradigms for robust control. Robust stability and measures of robust performance. Analysis of and design for robust stability and performance.
ECE 69500 Mobile Wireless Networking (3) Class: 3 Lab: 0 Rec: 0 P: Graduate Standing C: None. The course will explore the fundamental issues emerged from a booming wireless communication technology. Topics will include 802.11 and various issues in ad-hoc and sensor networks, including power management, coverage, topology and location discovery. Students are expected to read two or three articles per week, to participate in discussions, to present their findings.
Prerequisites: Graduate standing
ECE 69600 Advanced Electrical Engineering Projects (3) Class: 0 Lab: 0 Rec: 0 P: None C: None Individual research projects to be approved by the supervising faculty member before registering for the course. An approved written report must be filed before credit is given. (This course cannot be used on a Ph.D. plan of study for the primary area). *(Variable Credit)
ECE 69800 Research (M.S. thesis) (3) Class: 0 Lab: 0 Rec: 0 P: None C: None Research for M.S. thesis. *(variable credit)
