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This chapter considers the application of computers to data gathering. Computers play a key role in data gathering as well as the analysis and presentation of data derived from experiments. An appreciation of the power and limitations of computers used in this context requires some familiarity with the performance and characteristics of transducers, signal conditioning circuits, and DAQ software. Several options for data gathering are explored, including plug and play systems, the Arduino microcontroller, and smartphones that utilise their on-board sensors.
This chapter considers report writing, posters and oral presentation as means of communicating findings from experiments in science and engineering. Detailed advice is given on report writing supported by specific examples of, for example, how to write an abstract. A full report is included for the student to critique. Example posters are also included. Advice on how to approach oral presentations is included.
Data provide the foundation upon which understanding in science and engineering is built. A basic requirement is that data are expressed in units that are recognised and accepted internationally. This chapter considers the most commonly adopted system of units: The International System of Units. The chapter also considers how to express data, for example using scientific notation. The importance of presenting data clearly in tables is emphasised.
In some situations, it is possible to estimate the size of values likely to emerge from an experiment, prompting our attention to be alerted when the values obtained differ considerably from our estimation. Exploring the reasons for a discrepancy can lead to improved insight of the experiment or perhaps hint that a mistake has occurred, for example when converting units.
No matter how much care is taken during an experiment, or how sophisticated the equipment used, values obtained through measurement are influenced by errors. Errors can be thought of as acting to conceal the true value of the quantity sought through experiment. Random errors cause values obtained through measurement to occur above and below the true value. This chapter considers statistically-based methods for dealing with variability in experimental data such as that caused by random errors. As statistics can be described as the science of assembling, organising and interpreting numerical data, it is an ideal tool for assisting in the analysis of experimental data.
Responding to the developments of the past twenty years, Les Kirkup has thoroughly updated his popular book on experimental methods, while retaining the extensive coverage and practical advice from the first edition. Many topics from that edition remain, including keeping a record of work, how to deal with measurement uncertainties, understanding the statistical basis of data analysis and reporting the results of experiments. However, with new technologies influencing how experiments are devised, carried out, analyzed, presented and reported, this new edition reflects the digital changes which have taken place and the increased emphasis on the importance of communication skills in reporting results. Bringing together key elements of experimental methods into one coherent book, it is perfect for students seeking guidance with their experimental work, including how to acquire, analyse and present data. Exercises, worked examples and end-of-chapter problems are provided throughout the book to reinforce fundamental principles.
The Physics of Energy provides a comprehensive and systematic introduction to the scientific principles governing energy sources, uses, and systems. This definitive textbook traces the flow of energy from sources such as solar power, nuclear power, wind power, water power, and fossil fuels through its transformation in devices such as heat engines and electrical generators, to its uses including transportation, heating, cooling, and other applications. The flow of energy through the Earth's atmosphere and oceans, and systems issues including storage, electric grids, and efficiency and conservation are presented in a scientific context along with topics such as radiation from nuclear power and climate change from the use of fossil fuels. Students, scientists, engineers, energy industry professionals, and concerned citizens with some mathematical and scientific background who wish to understand energy systems and issues quantitatively will find this textbook of great interest.