Catalog Description: This course introduces students to the basics of models, analysis tools, and control for embedded systems operating in real time. Students learn how to combine physical processes with computation. Topics include models of computation, control, analysis and verification, interfacing with the physical world, mapping to platforms, and distributed embedded systems. The course has a strong laboratory component, with emphasis on a semester-long sequence of projects. Units: 4
Applied Control Theory for Embedded Systems (Embedded Technology) downloads torrent
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Catalog Description: This course allows students who have had a linear algebra and/or basic circuit theory course to complete the work in EE16A and be ready for EE16B or EE47E. The course focuses on the fundamentals of designing modern information devices and systems that interface with the real world and provides a comprehensive foundation for core EECS topics in signal processing, learning, control, and circuit design. Modeling is emphasized in a way that deepens mathematical maturity, and in both labs and homework, students will engage computationally, physically, and visually with the concepts being introduced in addition to traditional paper/pencil exercises. Units: 1-3
Catalog Description: This course allows students who have had a linear algebra and/or basic circuit theory course to complete the work in EE16B. The course focuses on the fundamentals of designing modern information devices and systems that interface with the real world and provides a comprehensive foundation for core EECS topics in signal processing (DFT), learning (SVD/PCA), feedback control, and circuit design. Modeling is emphasized in a way that deepens mathematical maturity, and in both labs and homework, students will engage computationally, physically, and visually with the concepts being introduced in addition to traditional paper/pencil exercises. Units: 1-3
Catalog Description: This course introduces students to the basics of modeling, analysis, and design of embedded, cyber-physical systems. Students learn how to integrate computation with physical processes to meet a desired specification. Topics include models of computation, control, analysis and verification, interfacing with the physical world, real-time behaviors, mapping to platforms, and distributed embedded systems. The course has a strong laboratory component, with emphasis on a semester-long sequence of projects. Units: 4
Embedded systems are regarded as a key technology for new industrial, scientific, and medical devices. From domestic devices like washing machines to complex space technology such as satellites, most products require integrated digital control and software. These components have a great impact on functionality and performance. With more than 16 billion devices, embedded systems are everywhere. As "hidden systems", the embedded systems determine innovations in industrial equipment, medical devices, and scientific instruments. Since many products without embedded systems cannot compete on the market, specially trained personnel are demanded by the industry worldwide.
Bremerhaven University of Applied Sciences recognises these demands and offers a new Master's study programme Embedded Systems Design (ESD). An embedded system in the scope of ESD is a system whereby a mechanical or electromechanical system receives its essential functionality via electronics, control, and software. Courses like system identification, mechatronics, and discrete control systems qualify students to design future embedded systems in industrial, medical, or scientific applications (ISM market). ESD pays attention to system-on-chip (SoC) solutions using programmable digital devices. The graduate students will meet the challenge of designing modern, safe and reliable embedded products. 2ff7e9595c
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