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For one-semester courses in Microcomputer Accounting.
This package includes QuickBooks ¬ģ 2016 software.
Provide a Real-World Experience with Extensive Hands-On Material
Designed to present accounting concepts and their relationship to QuickBooks¬ģ 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. Readers 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.
While the text was written using the 2016 Accountant's version of QuickBooks Online, it may be used with the Pro version of the program as well. (Because of the many differences between the Windows and Mac versions of QuickBooks, this text should not be used for training using QuickBooks for the Mac.) No prior knowledge of or experience with computers, Windows, or QuickBooks 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.
0134624645 / 9780134624648 QuickBooks Online Plus: A Complete Course 2016 -- Access Card Package, 1/e
Package consists of:
Nonlinear Signal Processing: A Statistical Approach focuses on unifying the study of a broad and important class of nonlinear signal processing algorithms which emerge from statistical estimation principles, and where the underlying signals are non-Gaussian, rather than Gaussian, processes. Notably, by concentrating on just two non-Gaussian models, a large set of tools is developed that encompass a large portion of the nonlinear signal processing tools proposed in the literature over the past several decades.<br> <br> Key features include:<br> * Numerous problems at the end of each chapter to aid development and understanding<br> * Examples and case studies provided throughout the book in a wide range of applications bring the text to life and place the theory into context<br> * A set of 60+ MATLAB software m-files allowing the reader to quickly design and apply any of the nonlinear signal processing algorithms described in the book to an application of interest is available on the accompanying FTP site.
A systematic and comprehensive introduction to the study of nonlinear dynamical systems, in both discrete and continuous time, for nonmathematical students and researchers working in applied fields. An understanding of linear systems and the classical theory of stability are essential although basic reviews of the relevant material are provided. Further chapters are devoted to the stability of invariant sets, bifurcation theory, chaotic dynamics and the transition to chaos. In the final two chapters the authors approach the subject from a measure-theoretical point of view and compare results to those given for the geometrical or topological approach of the first eight chapters. Includes about one hundred exercises. A Windows-compatible software programme called DMC, provided free of charge through a website dedicated to the book, allows readers to perform numerical and graphical analysis of dynamical systems. Also available on the website are computer exercises and solutions to selected book exercises. See www.cambridge.org/economics/resources
Modeling Software with Finite State Machines: A Practical Approach explains how to apply finite state machines to software development. It provides a critical analysis of using finite state machines as a foundation for executable specifications to reduce software development effort and improve quality. This book discusses the design of a state machine and of a system of state machines. It also presents a detailed analysis of development issues relating to behavior modeling with design examples and design rules for using finite state machines. This volume describes a coherent and well-tested framework for generating reliable software for even the most complex tasks. The authors demonstrate that the established practice of using a specification as a basis for coding is wrong. Divided into three parts, this book opens by delivering the authors' expert opinions on software, covering the evolution of development as well as costs, methods, programmers, and the development cycle. The remaining two parts encourage the use of state machines: promoting the virtual finite state machine (Vfsm) method and the StateWORKS development tools.
Mathematical Nonlinear Image Processing deals with a fast growing research area. The development of the subject springs from two factors: (1) the great expansion of nonlinear methods applied to problems in imaging and vision, and (2) the degree to which nonlinear approaches are both using and fostering new developments in diverse areas of mathematics. Mathematical Nonlinear Image Processing will be of interest to people working in the areas of applied mathematics as well as researchers in computer vision. Mathematical Nonlinear Image Processing is an edited volume of original research. It has also been published as a special issue of the Journal of Mathematical Imaging and Vision. (Volume 2, Issue 2/3).
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