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EE A353L: Circuit Theory Lab
1.00 Credits
Kenai Peninsula College
Analysis of circuit behavior for passive and active filters. Application of Laplace and Fourier techniques to circuit characterization. This course serves as a laboratory component to EE A353.
Corequisite:
EE A353
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EE A354: Engineering Signal Analysis
3.00 Credits
Kenai Peninsula College
Analysis using discrete time signals and Fast Fourier Transform (FFT), random signals and noise, analog signals and Fourier transform. Application of probability theory and random variables to analog and discrete signals.
Prerequisite:
EE A353 UA D AND MATH A302 UA D
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EE A407: Power Distribution
3.00 Credits
Kenai Peninsula College
Analysis of electrical power distribution and control systems, power flow control, symmetrical faults, power interruption, voltage variations, distributed generation, and economic dispatch with computer-aided analysis.
Prerequisite:
EE A204 UA D AND EE A353 UA D
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EE A417: Green Elec Energy Systems
4.00 Credits
Kenai Peninsula College
Presents major renewable energy sources and methods used to assess, harness and operate them. Discusses the application of power electronics, control and the use of demand-side management, and the effects of market forces on renewable energy and power systems. Major focuses are on power electronics and grid integration of renewable energy systems. Discussions of economic and environmental social policy are integral components of the course.
Prerequisite:
EE A353 UA C
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EE A427: Fundamentals of Smart Grids
3.00 Credits
Kenai Peninsula College
Introduces the fundamentals of design, analysis and development of smart grids. Covers elements of control, computing, communication, automation and monitoring techniques needed to ensure smart grid operation. Emphasis is on design of smart grids to ensure adaptability as well as interoperability with renewable energy, distributed generation and smart loads. Special Note: Not available for credit to students who have completed EE A627. May be stacked with: EE A627
Prerequisite:
EE A307 UA C
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EE A437: Electrical Machines
3.00 Credits
Kenai Peninsula College
Covers the analysis and principles of electromechanical systems. Discusses major classes of electric machines, interactions in electromechanics, and tools and techniques used for operation and control. May be stacked with: EE A637
Prerequisite:
EE A307 UA C
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EE A438: Design Electrical Engr System
3.00 Credits
Kenai Peninsula College
Capstone course in which electrical engineering students design an electrical engineering component or system starting with the initial design specification to the implementation and testing. Students apply knowledge and skills learned in their undergraduate curriculum. Registration Restrictions: Student must be in senior year of BSE degree program or obtain faculty permission. Completion of GER Tier 1 (basic college-level skills) courses.
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EE A441: Integrated Circuit Design
3.00 Credits
Kenai Peninsula College
Develops the design and fabrication of integrated circuits (ICs) used in computer electronics. Describes the material properties, methods of charge transport, energy exchanges, fundamentals of device fabrication, and fabrication process capabilities and limits. Electrical characteristics, timing considerations, heat and power considerations, and reliability of IC devices.
Prerequisite:
CHEM A105 UA D AND EE A204 UA D AND EE A353 UA D
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EE A447: Power Electronics
3.00 Credits
Kenai Peninsula College
Applies electronic circuits to energy conversion. Discusses modeling, design, analysis, and control of DC-DC converters, AC-DC rectifiers, DC-AC inverters, AC-AC converters, and switch-mode power supplies. Includes power electronics applications in motor drives, uninterrupted power supplies, and power systems.
Prerequisite:
EE A307 UA C AND EE A333 UA C
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EE A451: Digital Signal Processing
3.00 Credits
Kenai Peninsula College
Develops properties and methods of analysis of discrete-time signals, and the techniques used in creating and processing those signals. Topics include discrete-time linear systems, Z-transforms, the Discrete Fourier Transform and Fast Fourier Transform algorithms, digital filter design, system performance analysis and problem-solving. Methods and effects of signal processing are analyzed and evaluated.
Prerequisite:
EE A354 UA C
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