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Course Criteria
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3.00 Credits
This is a system class covering a wide aspect of negative feedback. The principle of negative and positive feedback is very important not just for engineering theory and practice but for many other areas such as biology, economy, business organizations, etc. During this course mathematical and situation models will be developed for continuous- time control systems. Some specific examples of discrete control will be considered as well. The main topics included are: block diagram modeling, stability, state-space representation, error analyses, frequency domain of analyses, Bode and Nyquist Plots. Prerequisite: Engr 378.
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3.00 Credits
Properties of engineering materials and their relation to the internal structure of materials, including semiconductor physics. Prerequisites: Math 273, Chem 211/215
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3.00 Credits
A study of numerical methods for solving engineering problems, topics include: error analysis, roots of equations, systems of equations, interpolation and data fitting, numerical integration and numerical methods for solving ordinary differential equations. Prerequisites: A grade of "C" or better in Math 273,Math 325 and ENGR 245..
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3.00 Credits
A study of vector integral calculus, Fourier series and transforms, partial differential equations and boundary value problems. Prerequisites: A grade of "C" or better in Math 273, Math 325 and ENGR245..
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3.00 Credits
Neural networks are problem-solving paradigms that simulate the computational activity of the human brain. This course studies basic neurobiology, Single Neuron Models, Single Layer Perceptions, Multi- Layer Perceptions, Radial Basis Function networks, Committee machines, and Kohonen neural networks. This course presents a variety of applications of neural networks in engineering and sciences. Prerequisites: Engr 245, Engr 361, Engr 462
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3.00 Credits
This course studies different machine learning techniques/ paradigms; including decision trees, genetic algorithms, Bayesian learning, rule learning, and reinforcement learning. The applications of these techniques to problems in data analysis, knowledge discovery and data mining are discussed. Prerequisites: Engr 245, Engr 361, Engr 375, Engr 462
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3.00 Credits
This course will provide mathematical foundations and practical techniques for digital manipulations of images; preprocessing; segmentation; Fourier domain processing; and compression. Prerequisites: Engr 245, MATH 320
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3.00 Credits
Computer-based graphical representations, or visualizations, of scientific and engineering processes and phenomena have become commonplace in scientific and engineering communities. Survey the use of visualization in scientific and engineering communities. The overall goal is to gain (a) an appreciation of the issues surrounding the use of visualizations, (b) an understanding of how and why such visualizations may or may not be effective in assisting their users, and (c) and ability to apply various research techniques to studying, designing and evaluating visualizations in practice. Prerequisites: Engr 254 and Math 320.
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3.00 Credits
This course introduces algorithms and techniques for programming highly parallel computers. Topics covered include: trends in parallel and distributed computing; shared address space and message passing architectures; design issues for parallel algorithms; converting sequential algorithms into equivalent parallel algorithms; synchronization and data sharing; improved performance of parallel algorithms; interconnected network topologies, routing, and flow control; latency limits on speedup of algorithms by parallel implementations. Design, coding, performance analysis, debugging and other aspects of parallel algorithm development will be covered. Prerequisites: Engr 378 and CS 328
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3.00 Credits
This course is designed to provide the engineering student with an understanding of mechatronics systems concepts and overview, control system design overview, control software architecture, control hardware architecture, microcontroller and interface technology for mechatronics control, sensor for mechatronics systems, and actuator drives. Prerequisites: A grade of "C" or better in Engineering331 and 388.
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