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ECEN 636: Phased Arrays
3.00 Credits
Texas A & M University-Galveston
Phased Arrays. (3-0). Credit 3. Theory and application of phased array antennas, radiators and sensors; spatial and spectral domain analysis of phased arrays including element-by-element, infinite array and Fourier methods; applications will include phased arrays, adaptive arrays, and synthesis array antennas; for use in radar, imaging and biomedical treatment and diagnosis. Prerequisite: ECEN 322 or equivalent.
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ECEN 636 - Phased Arrays
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ECEN 637: Num Methods In E-M
3.00 Credits
Texas A & M University-Galveston
Numerical Methods in Electromagnetics. (3-0). Credit 3. Numerical techniques for solving antenna, scattering and microwave circuits problems; finite difference and finite element differential equation methods with emphasis on the method of moments integral equation technique. Prerequisites: ECEN 351 or 635; CSCE 203 or equivalent.
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ECEN 637 - Num Methods In E-M
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ECEN 638: Antennas & Propagation
3.00 Credits
Texas A & M University-Galveston
Antennas and Propagation. (3-0). Credit 3. Application of Maxwell's equations to determine electromagnetic fields of antennas; radiation, directional arrays, impedance characteristics, aperture antennas. Prerequisite: ECEN 351.
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ECEN 638 - Antennas & Propagation
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ECEN 639: Microwave Circuits
3.00 Credits
Texas A & M University-Galveston
Microwave Circuits. (3-0). Credit 3. Introduction to high frequency systems and circuits; provides background information needed to understand fundamentals of microwave integrated circuits; includes usage of S-parameters, Smith Charts, stability considerations in designing microwave circuits; utilizes CAD program "Super Compact" demonstrating design synthesis optimization and analysis of monolithic devices and circuits. Prerequisite: Graduate classification.
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ECEN 639 - Microwave Circuits
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ECEN 640: Thin Film Science & Tech
3.00 Credits
Texas A & M University-Galveston
Thin Film Science and Technology. (3-0). Credit 3. The course focuses on the thin film technology in semiconductor industry. Topics include the basic growth mechanisms for thin films (growth models, lattice matching epitaxy and domain matching epitaxy), the instrumental aspects of different growth techniques and advanced topics related to various applications. Prerequisites: Graduate standing.
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ECEN 640 - Thin Film Science & Tech
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ECEN 641: Microwave Ic
3.00 Credits
Texas A & M University-Galveston
Microwave Solid-State Integrated Circuits. (3-0). Credit 3. Microwave two-terminal and three-terminal solid-state devices; waveguide and microstrip solid-state circuits; theory and design of microwave mixers, detectors, modulators, switches, phase shifters, oscillators and amplifiers. Prerequisite: ECEN 351.
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ECEN 641 - Microwave Ic
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ECEN 642: Digital Image Processing
3.00 Credits
Texas A & M University-Galveston
Digital Image Processing. (3-0). Credit 3. Digital Image Processing techniques; stresses filtering, transmission and coding; fast transform techniques; convolution and deconvolution of model noise. Prerequisites: ECEN 447 and 601.
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ECEN 642 - Digital Image Processing
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ECEN 643: Elec Power Syst Reliab
3.00 Credits
Texas A & M University-Galveston
Electric Power System Reliability. (3-0). Credit 3. Design and application of mathematical models for estimating various measures of reliability in electric power systems. Prerequisite: ECEN 460 or approval of instructor.
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ECEN 643 - Elec Power Syst Reliab
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ECEN 644: Discrete-Time Systems
3.00 Credits
Texas A & M University-Galveston
Discrete-Time Systems. (3-0). Credit 3. Linear discrete time systems analysis using time domain and transform approaches; digital filter design techniques with digital computer implementations. Prerequisite: ECEN 601.
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ECEN 645: Pattern Recog Neur Net
3.00 Credits
Texas A & M University-Galveston
Pattern Recognition by Neural Networks. (3-0). Credit 3. Feedforward and feedback paradigms; training algorithms; supervised and unsupervised learning; associative networks; self-clustering networks; stability and convergence; comparison with statistical pattern recognition. Prerequisite: ECEN 649 or approval of instructor.
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ECEN 645 - Pattern Recog Neur Net
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