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Course Criteria
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3.00 Credits
Prerequisites: ECE 09301 and ECE 09302 and ECE 09311 Optical communications is an integral part of the world-wide telecommunications system. This course will consider the numerous technologies that comprise such systems as well as the techniques to design, analyze, simulate, and test such systems. Topics include: theory of optical waveguiding, waveguide structures, materials, dispersion, signal degradation in fibers, laser diodes, optical amplifiers, optical coupling, photodetectors, noise, receiver operation, and numerical and analytical techniques for performance calculations and system evaluation.
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3.00 Credits
Prerequisites: ECE 09301 and ECE 09302 and ECE 09311 and ECE 09331 This course will cover the fundamentals of cellular systems, the technologies that are used to implement such systems, radio propagation effects, modulation techniques and the analysis and systems performance evaluation of wireless links.
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2.00 Credits
Prerequisites: ECE 09241 Minimum Grade of C The first course in computer architecture covers principles of computer systems design focusing on hardware elements in bused architectures. It also introduces techniques of large-scale digital system design.
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2.00 Credits
Prerequisites: ECE 09443 The second course in computer architecture treats architecture elements of special-purpose digital systems. Use of macro functions is stressed.
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3.00 Credits
Prerequisites: ECE 09351 This is a senior level undergraduate elective course that covers the fundamentals of the implementation of digital signal processing algorithms using special purpose hardware. Topics include fixed and floating point arithmetic, assembly language programming, sampling, digital filter implementation, finite wordlength effects, quantization noise and fast Fourier transform implementation. The student is exposed to application designs in communications, speech and image processing.
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3.00 Credits
Prerequisites: ECE 09351 Introduction to Digital Image Processing covers the analysis and contemporaneous applications of the enhancement, restoration,compression and recognition of monochromatic images. Both classical and state-of-the-art algorithms will be employed in conjunction with appropriate software for analyzing real-world images.
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3.00 Credits
Prerequisites: ECE 09351 This is a senior-level undergraduate elective course that covers the fundamentals and implementation of adaptive filtering algorithms using software and special purpose hardware. Topics include random signals, least-mean squares method, recursive least squares method, filter structures and finite wordlength effects. The student is exposed to applications in communications, signal separation, radar, noise cancellation and seismic signal processing.
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3.00 Credits
Prerequisites: MATH 01210 or MATH 01236 This course covers the design of a variety of popular neural network architectures and their contemporary engineering applications. Neural network architectures that will be studied in detail include the multilayer perceptron, radial basis function and the Hopfield networks. State-of-the-art software will be used for network design. VLSI implementations of neural networks will be discussed.
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3.00 Credits
This class will introduce a broad spectrum of pattern recognition algorithms along with various statistical data analysis and optimization procedures that are commonly used in such algorithms, with particular emphasis to engineering applications. Although mathematically intensive, pattern recognition is nevertheless a very application driven field. This class will therefore cover both theoretical and practical aspects of pattern recognition, Bayes decision theory for optimum classifiers, density estimation techniques, discriminant analysis, basic optimization techniques, introduction to basic neural network structures, unsupervised clustering techniques and more state of the art algorithm independent techniques.
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3.00 Credits
Prerequisites: ECE 09242 and ECE 09443 or CS 06412 and CS 04390 This course provides a comprehensive treatment of embedded system design, verification, analysis, and optimization. Topics include embedded system architecture, interfacing, computational models, real-time scheduling and communications, and resource management in real-time systems, etc.
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