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1) Solar Energy: The physics and engineering of photovoltaic conversion, technologies and systems
Authors: Arno Smets, Klaus Jäger, Olindo Isabella, René van Swaaij & Miro Zeman
Length: 488 pages
Publisher: UIT Cambridge (January 28, 2016)
US: http://www.amazon.com/gp/product/B0198VHPHM/
AU: http://www.amazon.com.au/gp/product/B0198VHPHM/
Amazon's Description:
This book uniquely covers both the physics of photovoltaic (PV) cells and the design of PV systems for real-life applications. From the fundamental principles of semiconductor solar cells; through PV technology (crystalline silicon solar cells; thin-film cells; PV modules); to components, design, deployment and performance of PV systems in use. The book is an invaluable reference for researchers, industrial engineers and designers working in solar energy generation. The book is also ideal for university and third-level physics or engineering courses on solar photovoltaics, with exercises to check students’ understanding and reinforce learning. It is the perfect companion to the Massive Open Online Course (MOOC) on Solar Energy (DelftX, ET.3034TU) presented by co-author Arno Smets. The course is available in English on the nonprofit open source edX.org platform, and in Arabic on edraak.org. Over 100,000 students have already registered for these MOOCs.
2) Differential Equations and Boundary Value Problems: Computing and Modeling
Authors: C. Henry Edwards, David E. Penney and David Calvis
Length: 800 pages
Publisher: Pearson; 5 edition (March 14, 2016)
US: http://www.amazon.com/dp/B01CGS9252
AU: http://www.amazon.com.au/dp/B01CGS9252
Amazon's Description:
This best-selling text by these well-known authors blends the traditional algebra problem solving skills with the conceptual development and geometric visualization of a modern differential equations course that is essential to science and engineering students. It reflects the new qualitative approach that is altering the learning of elementary differential equations, including the wide availability of scientific computing environments like Maple, Mathematica, and MATLAB. Its focus balances the traditional manual methods with the new computer-based methods that illuminate qualitative phenomena and make accessible a wider range of more realistic applications. Seldom-used topics have been trimmed and new topics added: it starts and ends with discussions of mathematical modeling of real-world phenomena, evident in figures, examples, problems, and applications throughout the text.
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o dear, just finished an ODE assignment in uni and was the bane of my existence. but very fun, matlab is one of the greatest things ever