This book is an essential resource for facilitators seeking to help students develop their knowledge of management practice in Italy. It presents a collection of the best case studies and accompanying teaching notes from the Italian Association for Management Education (ASFOR) competition in 2014. The cases are written by teachers across many of the leading universities in Italy.
<b>one-of-a-kind introduction to the theory and application of modeling and simulation techniques in the realm of international studies</b> <p> <i>Modeling and Simulation for Analyzing Global Events</i> provides an orientation to the theory and application of modeling and simulation techniques in social science disciplines. This book guides readers in developing quantitative and numeric representations of real-world events based on qualitative analysis. With an emphasis on gathering and mapping empirical data, the authors detail the steps needed for accurately analyzing global events and outline the selection and construction of the best model for understanding the event¿s data. <p> Providing a theoretical foundation while also illustrating modern examples, the book contains three parts: <ul> <li> <div><b>Advancing Global Studies</b>—introduces the what, when, and why of modeling and simulation and also explores its brief history, various uses, and some of the advantages and disadvantages of modeling and simulation in problem solving. In addition, the differences in qualitative and quantitative research methods, mapping data, and conducting model validation are also discussed.</div> <li> <div><b>Modeling Paradigms</b>—examines various methods of modeling including system dynamics, agent-based modeling, social network modeling, and game theory. This section also explores the theory and construction of these modeling paradigms, the fundamentals for their application, and various contexts for their use.</div> <li> <div><b>Modeling Global Events</b>—applies the modeling paradigms to four real-world events that are representative of several fundamental areas of social science studies: internal commotion within an anarchic state, a multi-layered study of the Solidarity movement in Poland, uni-lateral military intervention, and the issue of compellence and deterrence during a national security crisis.</div> </ul> <p> <i>Modeling and Simulation for Analyzing Global Events</i> is an excellent book for statistics, engineering, computer science, economics, and social sciences courses on modeling and simulation at the upper-undergraduate and graduate levels. It is also an insightful reference for professionals who would like to develop modeling and simulation skills for analyzing and communicating human behavior observed in real-world events and complex global case studies.
Particulate discrete element analysis is becoming increasingly popular for research in geomechanics as well as geology, chemical engineering, powder technology, petroleum engineering and in studying the physics of granular materials. With increased computing power, practising engineers are also becoming more interested in using this technology for analysis in industrial applications. This is the first single work on Discrete Element Modelling (DEM) providing the information to get started with this powerful numerical modelling approach.
Written by an independent author with experience both in developing DEM codes and using commercial codes, this book provides the basic details of the numerical method and the approaches used to interpret the results of DEM simulations. Providing a basic overview of the numerical method, Particulate Discrete Element Modelling discusses issues related to time integration and numerical stability, particle types, contact modelling and boundary conditions. It summarizes approaches to interpret DEM data so that users can maximize their insight into the material response using DEM. The aim of this book is to provide both users and prospective users of DEM with a concise reference book that includes tips to optimize their usage.
Particulate Discrete Element Modelling is suitable both for first time DEM analysts as well as more experienced users. It will be of use to professionals, researchers and higher level students, as it presents a theoretical overview of DEM as well as practical guidance on running DEM simulations and interpreting DEM simulation data.
*Provides a unified theory of teaching as a profession
Engineering Computations and Modeling in MATLAB(R)/Simulink(R) provides a broad overview of The MathWorks' MATLAB(R)/Simulink(R)/GUIDE development and modeling environment. This textbook shows how to use these software tools effectively in a variety of engineering applications, including modeling real-world dynamic systems. Concepts Discussed: Major concepts of MATLAB(R), Symbolic Math ToolboxA', Simulink(R), and GUIDE * Development of effective foolproof M-file scripts and functions * Use of the 2D and 3D plotting functions and handle graphics * Creation of interactive user interfaces and animations * Presentation of numerical methods, coded in MATLAB(R) functions * Accuracy of digital computations Special Features: * Numerous examples * Derivation of fundamental formulas using symbolic math computations * Dynamic systems modeling in MATLAB(R) and Simulink(R) * Development of user-friendly standalone GUIs * Introduction of aerospace engineering tools This book is used as a textbook by undergraduate and graduate students taking introductory and advanced courses in applied programming, and also as a reference for working professionals using MATLAB(R)/Simulink(R).
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