For one-semester courses in Microcomputer Accounting. Provide a Real-World Experience with Extensive Hands-On Material Designed to present accounting concepts and their relationship to QuickBooks(r) 2016, QuickBooks Online Plus: A Complete Course 2016 is a comprehensive instructional learning resource. The First Edition uses fictitious companies and the QuickBooks Online Plus accounting program to provide hands-on training while it introduces major accounting concepts. Students have ample opportunity to apply the concepts they learn about in the text and software, and transition from training to using QuickBooks Online Plus in an actual business. No prior knowledge of or experience with computers, Windows, or QuickBooks Online is required; however, an understanding of accounting, specifically the accounting cycle and how it is related to a business, is essential to successful completion of the coursework. Note: You are purchasing a standalone product; QuickBooks(r) 2016 does not come packaged with this content. Students, if interested in purchasing this title with QuickBooks(r) 2016, ask your instructor for the correct package ISBN and Course ID. Instructors, contact your Pearson representative for more information, or search for: 0134624645 / 9780134624648 QuickBooks Online Plus: A Complete Course 2016 -- Access Card Package, 1/e Package consists of:
This book provides a compilation of mathematical-computational tools that are used to analyze experimental data. The techniques presented are those that have been most widely and successfully applied to the analysis of physiological systems, and address issues such as randomness, determinism, dimension, and nonlinearity. In addition to bringing together the most useful methods, sufficient mathematical background is provided to enable non-specialists to understand and apply the computational techniques. Thus, the material will be useful to life-science investigators on several levels, from physiologists to bioengineer.Initial chapters present background material on dynamic systems, statistics, and linear system analysis. Each computational technique is demonstrated with examples drawn from physiology, and several chapters present case studies from oculomotor control, neuroscience, cardiology, psychology, and epidemiology. Throughout the text, historical notes give a sense of the development of the field and provide a perspective on how the techniques were developed and where they might lead. The overall approach is based largely on the analysis of trajectories in the state space, with emphasis on time-delay reconstruction of state-space trajectories. The goal of the book is to enable readers to apply these methods to their own research.
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This report presents an account of the course "Nonlinear Spectroscopy of Solids: Advances and Applications" held in Erice, Italy, from June 16 to 30, 1993. This meeting was organized by the International School of Atomic and Molecular Spectroscopy of the "Ettore Majorana" Centre for Scientific Culture. The purpose of this course was to present and discuss physical models, mathematical formalisms, experimental techniques, and applications relevant to the subject of nonlinear spectroscopy of solid state materials. The universal availability and application of lasers in spectroscopy has led to the widespread observation of nonlinear effects in the spectroscopy of materials. Nonlinear spectroscopy encompasses many physical phenomena which have their origin in the monochromaticity, spectral brightness, coherence, power density and tunability of laser sources. Conventional spectroscopy assumes a linear dependence between the applied electromagnetic field and the induced polarization of atoms and molecules. The validity of this assumption rests on the fact that even the most powerful conventional sources of light produce a light intensity which is not strong enough to equalize the rate of stimulated emission and that of the experimentally observed decay. A different situation may arise when laser light sources are used, particularly pulsed lasers. The use of such light sources can make the probability of induced emission comparable to, or even greater than, the probability of the observed decay; in such cases the nonlinearity of the response of the system is revealed by the experimental data and new properties, not detectable by conventional spectroscopy, will emerge.
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