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Física --- Arduino (Controlador programable) --- Telèfons intel·ligents --- Smartphones --- Telèfon mòbil --- iPhone (Telèfon intel·ligent) --- Controladors programables --- Ciència --- Acústica musical --- Astrofísica --- Biofísica --- Buit --- Calor --- Capil·laritat --- Ciència dels materials --- Compressibilitat --- Cronometria --- Difusió --- Dinàmica molecular --- Electricitat --- Fenomenologia (Física) --- Fenòmens crítics (Física) --- Fenòmens de relaxació --- Fenòmens mesoscòpics (Física) --- Física de l'estat sòlid --- Física estadística --- Física mèdica --- Fluids --- Energia --- Geofísica --- Lleis de conservació (Física) --- Magnetisme --- Mecànica --- Meteorologia --- Nanoestructures --- Òptica --- Permeabilitat --- Pesos i mesures --- Pneumàtica --- Radiació --- Radiologia --- Simetria (Física) --- Similitud (Física) --- Superfícies (Física) --- Teoria de camps (Física) --- Teoria quàntica --- Termodinàmica --- Dinàmica --- Ensenyament de la física --- Físics --- Físiques --- Gastronomia molecular --- Història de la física --- Physics --- Experiments.
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This book on the use of Arduino and Smartphones in physics experiments, with a focus on mechanics, introduces various techniques by way of examples. The main aim is to teach students how to take meaningful measurements and how to interpret them. Each topic is introduced by an experiment. Those at the beginning of the book are rather simple to build and analyze. As the lessons proceed, the experiments become more refined and new techniques are introduced. Rather than providing recipes to be adopted while taking measurements, the need for new concepts is raised by observing the results of an experiment. A formal justification is given only after a concept has been introduced experimentally. The discussion extends beyond the taking of measurements to their meaning in terms of physics, the importance of what is learned from the laws that are derived, and their limits. Stress is placed on the importance of careful design of experiments as to reduce systematic errors and on good practices to avoid common mistakes. Data are always analyzed using computer software. C-like structures are introduced in teaching how to program Arduino, while data collection and analysis is done using Python. Several methods of graphical representation of data are used.
Measuring methods in physics --- Chemical technology --- Programming --- Computer architecture. Operating systems --- meetmethoden --- computers --- meettechniek --- programmeren (informatica)
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Measuring methods in physics --- Chemical technology --- Programming --- Computer architecture. Operating systems --- meetmethoden --- computers --- meettechniek --- programmeren (informatica)
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The book teaches a student to model a scientific problem and write a computer program in C language to solve that problem. To do that, the book first introduces the student to the basics of C language, dealing with all syntactical aspects, but without the pedantic content of a typical programming language manual. Then the book describes and discusses many algorithms commonly used in scientific applications (e.g. searching, graphs, statistics, equation solving, Monte Carlo methods etc.). This important book fills a gap in current available bibliography. There are many manuals for programming
Science --- C (Computer program language) --- Computer programming. --- Computers --- Electronic computer programming --- Electronic data processing --- Electronic digital computers --- Programming (Electronic computers) --- Coding theory --- Natural science --- Natural sciences --- Science of science --- Sciences --- Data processing. --- Mathematical models. --- Programming
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