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Course Criteria
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3.00 Credits
3 hours lecture Prerequisites: ECE 561, 565 Corequisites: ECE 562 An in depth exploration of the issues and methodology in programming distributed computers. Students will develop an understanding of the programming languages and supporting programming environments associated with high performance computing on networks of commodity computers. Representative algorithms and applications will be examined.
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3.00 Credits
3 hours lecture Prerequisites: ECE 561, 565 Corequisites: ECE 562 A survey of issues and methodology in programming distributed computers. Students will develop an understanding of the hardware and software used in high performance computing based upon networks of commodity computers. Representative systems, algorithms, and applications will be examined.
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3.00 Credits
3 hours lecture Prerequisites: ECE 541 An in depth view of database management systems architecture and operations. The focus is on architectural and operational aspects of transactions and transaction processing. Topics include properties of data in a database, database management systems architecture, transaction properties, transaction processing, transaction and database recovery, concurrency control, locking protocols, storage management, and the application of concepts within various database systems. The course includes a design project derived from topics covered.
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3.00 Credits
3 hours lecture Prerequisites: ECE 541 An in depth exploration of the theory, architecture, implementation and design of state-of-the-art specialized data base systems. Students will develop an understanding of the requirements and design issues associated with emerging technologies applied to specialized database systems. Database systems to be studied will be selected based on present researchinterest of course faculty and students.
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3.00 Credits
3 hours lecture Prerequisites: ECE 574 and graduate standing; or permission of instructor Basic theory and applications of wavelets and filter banks. Wavelet theory provides very general techniques that can be applied to many tasks in signal processing, e.g., multi-resolution analysis in computer vision, subband coding in speech and image compression, and wavelet series expansions in applied mathematics. The course is designed to enable participants to understand wavelet theory and to acquire a working knowledge of the techniques available in this signal processing area. In particular, a paramount goal is to enable each participant to develop a critical understanding of the advantages and limitations of wavelet analysis.
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3.00 Credits
3 hours lecture Prerequisites: ECE 521, 574 Advanced signal processing topics. Content may vary according to instructor’s preferences but typically includes selections from: two-dimensional signal processing, higher-order spectral analysis, chaotic signal processing, array signal processing, multirate signal processing, optimal filtering and linear prediction, time-frequency and time-scale signal analysis, smart antennas, and inverse problems (signal reconstruction). Applications are discussed in radar, sonar, acoustics, speech, communications, and image processing.
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3.00 Credits
3 hours lecture Prerequisites: ECE 521 and ECE 574 Basic theory of adaptive filter design and implementation including applications. Topics include optimal filters, adaptive linear combiners, performance measures, adaptive FIR filters, adaptive IIR filters, and nonlinear adaptive filters. Applications in adaptive signal processing include adaptive modeling and system identification, adaptive deconvolution and equalization, and adaptive interference canceling.
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3.00 Credits
3 hours lecture Prerequisites: ECE 521, ECE 574, and graduate standing Signal processing and statistical techniques used in processing speech signals providing an understanding of how these techniques are used in the coding, synthesis and recognition of speech. Topics typically include the human vocal and auditory systems, characteristics of speech signals, lossless tube model of speech production, time and frequency domain representations of speech, time-frequency speech analysis methods, homomorphic speech processing, speech coding, speech synthesis, speech recognition, pitch detection and processing, and acoustic preprocessing for speech recognition.
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3.00 Credits
3 hours lecture Prerequisites: ECE 569 or permission of instructor Advanced topics in computer networks. Topics include: network management systems and architectures; network management protocols and standards; management of information bases. Examples are drawn primarily from the Internet (e.g., SNMP
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3.00 Credits
Prerequisites: ECE 521, 571 Fundamental aspects of information theory. Topics include discrete and differential entropy, discrete source and channel model, information rate, mutual information and channel capacity, coding theorems for sources and channels, the data processing theorem, encoding and decoding of data for transmission over noisy channels, rate distortion theory, maximum entropy distributions, and entropy estimation techniques for unknown sources. Several applications of information theory are included.
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