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Course Criteria
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3.00 Credits
Image formation and visual perception. Images, line structures, and line drawings. Preprocessing, boundary detection, texture, and region growing. Image representation in terms of boundaries, regions, and shape. Three-dimensional structures and their projections. Analysis, manipulation, and classification of image data. Knowledge-based approaches to image understanding. Applications from fields of robot vision, biomedical-image analysis, and satellite and aerial image interpretation. When Offered: Offered on sufficient demand. Credit Hours: 3
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3.00 Credits
Review of fundamental concepts and protocols of broadband and optical networking. Convergence of telephony, Internet and cable networks lead to new architectural and protocol concepts. Concepts and architectures covered in this course include: high-speed switching and router-design, traffic engineering, fiber optical communications, optical networking concepts, protection/restoration/survivability, optical link layers, quality of service, and broadband last-mile technologies. Prerequisites/Corequisites: Prerequisite: ECSE 4670. When Offered: Spring term odd-numbered years. Credit Hours: 3
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3.00 Credits
Review of OSI and IEEE 802 layered network architectures. Related queuing theory including basic Markov chain theory; M/M/1 and M/G/1 queues; and reservation, polling, and token passing systems. Protocols for multiple access channels such as satellite and packet radio networks including ALOHA and carrier sensing protocols. Local area network protocols: CSMA/CD, token passing rings and buses, implicit token protocols, and protocols for fiber optic LANs. Emphasis throughout on access protocols and their analysis. Prerequisites/Corequisites: Prerequisites: ECSE 4500, ECSE 4670. When Offered: Spring term even-numbered years. Credit Hours: 3
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3.00 Credits
The reliable development of VLSI designs. Topics include device modeling, comparative circuit performance, design for testability, multiprocessor architectures, and memory and microprocessor design. Laboratory experiments involve the use of an ensemble of CAD tools, including SPICE, placement and routing, and high-level design descriptions. A term report and project are required. Prerequisites/Corequisites: Prerequisite: ECSE 4220. When Offered: Offered on availability of instructor. Credit Hours: 3
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3.00 Credits
Software design aids for specifying IC design. Covers a spectrum of logic entry, simulation, placement, routing, network extraction, verification, PG tape generation, and testing. Use of a tool set for 2 micron CMOS gate array design using an industrial foundry. Designs are actually fabricated. Prerequisites/Corequisites: Prerequisites: ECSE 4770, ECSE 6700. When Offered: Offered on sufficient demand. Credit Hours: 3
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3.00 Credits
An advanced design and laboratory course. Design methodologies include register transfer modules and firmware microprogrammed design. Advanced microprocessor topics. "Bit-slice" philosophy of design. LSI microprocessors as design elements in larger digital systems such as high-speed channels and special purpose computers. Detailed discussion of the structure of several computers at the chip and board level. Emphasis on high-speed ECL and Schottky circuits. Specification of custom IC digital systems. FPGA based design implementation using VHDL. Students cannot receive credit for both this course and ECSE 4780.Prerequisites/Corequisites: Prerequisite: ECSE 4770. When Offered: Spring term annually. Credit Hours: 3
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3.00 Credits
Introduction to fuzzy set theory and fuzzy logics: basic concepts, fuzzy logics operations. Semantic manipulation applied to case studies in approximate reasoning, linguistic modeling, decision theory, and cluster analysis. Expert systems architecture and applications. Symbolic manipulation knowledge representation, control structure, and explanation capabilities. Analysis of expert systems such as MYCIN, PROSPECTOR, OPS5, DELTA. Prerequisites/Corequisites: Prerequisites: expertise in a high-level programming language, some knowledge of probability. When Offered: Fall term annually. Credit Hours: 3
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3.00 Credits
The theoretical background for learning using neural networks and important issues in the applications of neural networks. Topics include perception, associative memory, multilayer networks, recurrent networks, learning and generalization capabilities, training algorithms, learning with prior knowledge, and examples in applications. Prerequisites/Corequisites: Prerequisite: familiarity with probability theory, linear algebra, and FORTRAN or C programming. When Offered: Offered on sufficient demand. Credit Hours: 3
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3.00 Credits
Theory and techniques for the diagnosis of hardware faults in digital systems and the design of fault-tolerant systems. Fault detection and diagnosis in logic networks. Static and dynamic redundancy to achieve error detection and error correction. Prerequisites/Corequisites: Prerequisite: ECSE 2610. When Offered: Offered on sufficient demand. Credit Hours: 3
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3.00 Credits
Topics vary from year to year and may include methods of representation for finite-state machines, state assignments, machine decomposition theory. Experiments on finite-state machines, finite-memory machines, information-lossless machines. Linear machines, probabilistic machines, cellular arrays. Prerequisites/Corequisites: Prerequisite: ECSE 2610 or consent of instructor. When Offered: Offered on sufficient demand. Credit Hours: 3
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