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EE 877: Special Topics Electrical Eng
2.00 - 3.00 Credits
Wichita State University
EE 877. Special Topics in Electrical Engineering New or special courses are presented under this listing on sufficient demand. Repeatable for credit. Prerequisite: departmental consent.
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EE 877A: Integr of Renewable Energy
3.00 Credits
Wichita State University
No course description available.
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EE 877A - Integr of Renewable Energy
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EE 877E: Advan Quantum Computing
2.00 - 3.00 Credits
Wichita State University
No course description available.
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EE 877E - Advan Quantum Computing
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EE 877F: Space-Time Communications
2.00 - 3.00 Credits
Wichita State University
No course description available.
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EE 877F - Space-Time Communications
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EE 877G: Storage Area Networking
4.00 Credits
Wichita State University
No course description available.
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EE 877G - Storage Area Networking
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EE 877J: Discrete Event Systems
3.00 Credits
Wichita State University
No course description available.
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EE 877J - Discrete Event Systems
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EE 877R: Robust Control
3.00 Credits
Wichita State University
No course description available.
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EE 877R - Robust Control
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EE 877V: Stochastic Discrete Event Syst
3.00 Credits
Wichita State University
No course description available.
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EE 877V - Stochastic Discrete Event Syst
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EE 878: MS Directed Projects
1.00 - 4.00 Credits
Wichita State University
EE 878. MS Directed Project A project conducted under the supervision of an academic adviser for the directed project option. Requires a written report and an oral presentation on the project. Graded S/U only. Prerequisite: consent of academic adviser.
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EE 885: Robust Control Systems
3.00 Credits
Wichita State University
EE 885. Robust Control Systems (3). When applying control theory to real systems, engineers are faced with uncertainties in plant models, plant disturbances, and sensor noise. Robust control theory is an optimal approach for applying feedback control theory to systems with these uncertainties. Students completing this course should be capable of analyzing a linear control system in terms of performance and robustness, designing controllers and estimators using H-infinity optimization, and reducing plant model and/or controller implementation orders. Prerequisites: EE 792; EE 684 or ME 659.
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