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ELEC ENG 337: Neural Networks For Control
3.00 Credits
Missouri University of Science and Technology
Introduction to artificial neural networks and various supervised and unsupervised learning techniques. Detailed analysis of some of the neural networks that are used in control and identification of dynamical systems. Applications of neural networks in the area of Control. Case studies and a term project. Prerequisite: Elec Eng 265.
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ELEC ENG 338: Fuzzy Logic Control
3.00 Credits
Missouri University of Science and Technology
A mathematical introduction to the analysis, synthesis, and design of control systems using fuzzy sets and fuzzy logic. A study of the fundamentals of fuzzy sets, operations on these sets, and their geometrical interpretations. Methodologies to design fuzzy models and feedback controllers for dynamical systems. Various applications and case studies. Prerequisite: Elec Eng 265.
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ELEC ENG 338 - Fuzzy Logic Control
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ELEC ENG 341: Digital Signal Processing
3.00 Credits
Missouri University of Science and Technology
Spectral representations, sampling, quantization, z-transforms, digital filters and discrete transforms including the Fast Fourier transform. Prerequisite: Elec Eng 267.
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ELEC ENG 341 - Digital Signal Processing
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ELEC ENG 343: Communications Systems II
3.00 Credits
Missouri University of Science and Technology
Random signals and their characterization; noise performance of amplitude, angle and pulse modulation systems; digital data transmission; use of coding for error control. Prerequisite: Elec Eng 243.
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ELEC ENG 344: Stochastic Signal Analysis I
3.00 Credits
Missouri University of Science and Technology
Introduction to the application of probabilistic models to typical electrical engineering problems. Topics include: methods for describing random voltages, random digital signals, correlation, linear mean-square estimation, linear transformation of random digital signals, and bit-error rate calculation for communication systems. Prerequisites: Math 204 and Elec Eng 153.
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ELEC ENG 344 - Stochastic Signal Analysis I
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ELEC ENG 345: Digital Image Processing
3.00 Credits
Missouri University of Science and Technology
Fundamentals of human perception, sampling and quantization, image transforms, enhancement, restoration, channel and source coding. Prerequisite: Elec Eng 267. (Co-listed with Comp Eng 345)
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ELEC ENG 345 - Digital Image Processing
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ELEC ENG 347: Machine Vision
3.00 Credits
Missouri University of Science and Technology
Image information, image filtering, template matching, histogram transformations, edge detection, boundary detection, region growing and pattern recognition. Complementary laboratory exercises are required. Prerequisites: Comp Eng 111 and preceded or accompanied by Elec Eng 267. (Co-listed with Comp Eng 347)
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ELEC ENG 347 - Machine Vision
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ELEC ENG 348: Wireless Networks
3.00 Credits
Missouri University of Science and Technology
Introduction to wireless communications and networking. Topics include transmission fundamentals, wireless channel, coding techniques and error control, satellite and cellular networks, cordless systems, mobile IP and management, multiple access techniques and wireless protocols, wireless LAN, IEEE 802.11, and adhoc and sensor networks. Prerequisites: Hardware competency, Elec Eng 243 or Comp Eng 213 and graduate standing. (Co-listed with Comp Eng 348 and Sys Eng 348)
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ELEC ENG 348 - Wireless Networks
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ELEC ENG 351: Advanced Electronic Circuits
3.00 Credits
Missouri University of Science and Technology
Application of feedback theory, oscillators and frequency standards, precision analog techniques, low-power circuit design, interfacing sensors, designing for high reliability, electronics for harsh environments. Prerequisite: Elec Eng 254.
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ELEC ENG 351 - Advanced Electronic Circuits
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ELEC ENG 352: Photovoltaic Systems Engineering
3.00 Credits
Missouri University of Science and Technology
Physics and characteristics of photovoltaic (solar) cell technologies, electronic control of alternative energy sources, site selection, array design, energy storage methods, electrical code compliance, stand-alone systems, grid-intertie systems, legal and economic considerations. Prerequisite: Senior or graduate standing in Science or Engineering.
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