MCA Library - Publishers

Taxation in European Union

This book provides a comprehensive and systematic overview of the main topics of taxation in European law. The sequence of arguments follows an institutional logic, respecting the academic tradition of tax law. It first outlines the general framework of EU institutions, with a particular focus on the set of regulations regarding taxation with reference to the stage of formation of EU rules and the potential contrast with national legal systems. It then explores the general principles emerging from the European treaties that typically involve the taxation system, and examines in detail the fiscal importance of European freedoms, the principle of tax non-discrimination, the balance between national interest and EU values, tax harmonization, state aids and other general principles applicable in tax jurisdiction. Lastly, it offers an overall assessment of the development of the European integration process, with particular regard to the nexus between taxation power and sovereignty, in order to highlight the possible and desirable next stages of the evolution of “European tax law”.

Probability and Statistics for Computer Science

This textbook is aimed at computer science undergraduates late in sophomore or early in junior year, supplying a comprehensive background in qualitative and quantitative data analysis, probability, random variables, and statistical methods, including machine learning.With careful treatment of topics that fill the curricular needs for the course, Probability and Statistics for Computer Science features:• A treatment of random variables and expectations dealing primarily with the discrete case.• A practical treatment of simulation, showing how many interesting probabilities and expectations can be extracted, with particular emphasis on Markov chains.• A clear but crisp account of simple point inference strategies (maximum likelihood; Bayesian inference) in simple contexts. This is extended to cover some confidence intervals, samples and populations for random sampling with replacement, and the simplest hypothesis testing.• A chapter dealing with classification, explaining why it’s useful; how to train SVM classifiers with stochastic gradient descent; and how to use implementations of more advanced methods such as random forests and nearest neighbors.• A chapter dealing with regression, explaining how to set up, use and understand linear regression and nearest neighbors regression in practical problems.• A chapter dealing with principal components analysis, developing intuition carefully, and including numerous practical examples. There is a brief description of multivariate scaling via principal coordinate analysis. • A chapter dealing with clustering via agglomerative methods and k-means, showing how to build vector quantized features for complex signals.Illustrated throughout, each main chapter includes many worked examples and other pedagogical elements such as boxed Procedures, Definitions, Useful Facts, and Remember This (short tips). Problems and Programming Exercises are at the end of each chapter, with a summary of what the reader should know. Instructor resources include a full set of model solutions for all problems, and an Instructor's Manual with accompanying presentation slides.

Political Social Work

A Primer on Scientific Programming with Python

Hans Petter Langtangen

The book serves as a first introduction to computer programming of scientific applications, using the high-level Python language. The exposition is example and problem-oriented, where the applications are taken from mathematics, numerical calculus, statistics, physics, biology and finance. The book teaches "Matlab-style" and procedural programming as well as object-oriented programming. High school mathematics is a required background and it is advantageous to study classical and numerical one-variable calculus in parallel with reading this book. Besides learning how to program computers, the reader will also learn how to solve mathematical problems, arising in various branches of science and engineering, with the aid of numerical methods and programming. By blending programming, mathematics and scientific applications, the book lays a solid foundation for practicing computational science.From the reviews: Langtangen ... does an excellent job of introducing programming as a set of skills in problem solving. He guides the reader into thinking properly about producing program logic and data structures for modeling real-world problems using objects and functions and embracing the object-oriented paradigm. ... Summing Up: Highly recommended. F. H. Wild III, Choice, Vol. 47 (8), April 2010Those of us who have learned scientific programming in Python ‘on the streets’ could be a little jealous of students who have the opportunity to take a course out of Langtangen’s Primer.” John D. Cook, The Mathematical Association of America, September 2011This book goes through Python in particular, and programming in general, via tasks that scientists will likely perform. It contains valuable information for students new to scientific computing and would be the perfect bridge between an introduction to programming and an advanced course on numerical methods or computational science.Alex Small, IEEE, CiSE Vol. 14 (2), March /April 2012 “This fourth edition is a wonderful, inclusive textbook that covers pretty much everything one needs to know to go from zero to fairly sophisticated scientific programming in Python...” Joan Horvath, Computing Reviews, March 2015

UML @ Classroom

Gerti Kappel | Marion Scholz | Christian Huemer | Martina Seidl

This textbook mainly addresses beginners and readers with a basic knowledge of object-oriented programming languages like Java or C#, but with little or no modeling or software engineering experience – thus reflecting the majority of students in introductory courses at universities. Using UML, it introduces basic modeling concepts in a highly precise manner, while refraining from the interpretation of rare special cases. After a brief explanation of why modeling is an indispensable part of software development, the authors introduce the individual diagram types of UML (the class and object diagram, the sequence diagram, the state machine diagram, the activity diagram, and the use case diagram), as well as their interrelationships, in a step-by-step manner. The topics covered include not only the syntax and the semantics of the individual language elements, but also pragmatic aspects, i.e., how to use them wisely at various stages in the software development process. To this end, the work is complemented with examples that were carefully selected for their educational and illustrative value.Overall, the book provides a solid foundation and deeper understanding of the most important object-oriented modeling concepts and their application in software development. An additional website offers a complete set of slides to aid in teaching the contents of the book, exercises and further e-learning material.

African Entrepreneurship

Leo-Paul Dana | Ben Q. Honyenuga | Vanessa Ratten

This book outlines the unique challenges and opportunities of doing business in Africa, analysing how varying degrees of development across its countries affects entrepreneurship. Taking into account historical and cultural contexts, the authors approach the topic by evaluating the different possibilities of business opportunity in Africa. Insightful contributions explore an extensive range of African countries, discussing both formal and informal entrepreneurship, as well as the different factors that influence the growing economy of Africa. African Entrepreneurship will be of interest to anyone researching the potential of doing business in Africa, as well as entrepreneurs and policy-makers looking to expand their knowledge on how businesses are managed in this region.

Quantitative Methods for the Social Sciences

Daniel Stockemer

This textbook offers an essential introduction to survey research and quantitative methods. Building on the premise that statistical methods need to be learned in a practical fashion, the book guides students through the various steps of the survey research process and helps to apply those steps toward a real example. In detail, the textbook introduces students to the four pillars of survey research and quantitative analysis: (1) the importance of survey research, (2) preparing a survey, (3) conducting a survey and (4) analyzing a survey. Students are shown how to create their own questionnaire based on some theoretically derived hypotheses to achieve empirical findings for a solid dataset. Lastly, they use said data to test their hypotheses in a bivariate and multivariate realm. The book explains the theory, rationale and mathematical foundations of these tests. In addition, it provides clear instructions on how to conduct the tests in SPSS and Stata. Given the breadth of its coverage, the textbook is suitable for introductory statistics, survey research or quantitative methods classes in the social sciences.

Quantitative Methods for the Social Sciences

Daniel Stockemer

This textbook offers an essential introduction to survey research and quantitative methods. Building on the premise that statistical methods need to be learned in a practical fashion, the book guides students through the various steps of the survey research process and helps to apply those steps toward a real example. In detail, the textbook introduces students to the four pillars of survey research and quantitative analysis: (1) the importance of survey research, (2) preparing a survey, (3) conducting a survey and (4) analyzing a survey. Students are shown how to create their own questionnaire based on some theoretically derived hypotheses to achieve empirical findings for a solid dataset. Lastly, they use said data to test their hypotheses in a bivariate and multivariate realm. The book explains the theory, rationale and mathematical foundations of these tests. In addition, it provides clear instructions on how to conduct the tests in SPSS and Stata. Given the breadth of its coverage, the textbook is suitable for introductory statistics, survey research or quantitative methods classes in the social sciences.

Fundamentals of Business Process Management

Marcello La Rosa | Marlon Dumas | Hajo A. Reijers | Jan Mendling

The Python Workbook

Ben Stephenson

While other textbooks devote their pages to explaining introductory programming concepts, The Python Workbook focuses exclusively on exercises, following the philosophy that computer programming is a skill best learned through experience and practice.Designed to support and encourage hands-on learning about programming, this student-friendly work contains 174 exercises, spanning a variety of academic disciplines and everyday situations. Solutions to selected exercises are also provided, supported by brief annotations that explain the technique used to solve the problem, or highlight specific points of Python syntax. No background knowledge is required to solve the exercises, beyond the material covered in a typical introductory Python programming course.Features: uses an accessible writing style and easy-to-follow structure; includes a mixture of classic exercises from the fields of computer science and mathematics, along with exercises that connect to other academic disciplines; presents the solutions to approximately half of the exercises; provides annotations alongside the solutions, which explain the approach taken to solve the problem and relevant aspects of Python syntax; offers a variety of exercises of different lengths and difficulties; contains exercises that help the development of programming skills using if statements, loops, basic functions, lists, dictionaries, files, and recursive functions.Undergraduate students undergoing their first programming course and wishing to enhance their programming abilities will find the exercises and solutions provided in this book to be ideal for their needs.

Digital Business Models

Bernd W. Wirtz

The spread of the Internet into all areas of business activities has put a particular focus on business models. The digitalization of business processes is the driver of changes in company strategies and management practices alike. This textbook provides a structured and conceptual approach, allowing students and other readers to understand the commonalities and specifics of the respective business models. The book begins with an overview of the business model concept in general by presenting the development of business models, analyzing definitions of business models and discussing the significance of the success of business model management. In turn, Chapter 2 offers insights into and explanations of the business model concept and provides the underlying approaches and ideas behind business models. Building on these foundations, Chapter 3 outlines the fundamental aspects of the digital economy. In the following chapters the book examines various core models in the business to consumer (B2C) context. The chapters follow a 4-C approach that divides the digital B2C businesses into models focusing on content, commerce, context and connection. Each chapter describes one of the four models and provides information on the respective business model types, the value chain, core assets and competencies as well as a case study. Based on the example of Google, Chapter 8 merges these approaches and describes the development of a hybrid digital business model. Chapter 9 is dedicated to business-to-business (B2B) digital business models. It shows how companies focus on business solutions such as online provision of sourcing, sales, supportive collaboration and broker services. Chapter 10 shares insight into the innovation aspect of digital business models, presenting structures and processes of digital business model innovation. The book is rounded out by a comprehensive case study on Google/Alphabet that combines all aspects of digital business models.Conceived as a textbook for students in advanced undergraduate courses, the book will also be useful for professionals and practitioners involved in business model innovation, and applied researchers.

Fundamentals of Business Process Management

Marcello La Rosa | Marlon Dumas | Hajo A. Reijers | Jan Mendling

This textbook covers the entire Business Process Management (BPM) lifecycle, from process identification to process monitoring, covering along the way process modelling, analysis, redesign and automation. Concepts, methods and tools from business management, computer science and industrial engineering are blended into one comprehensive and inter-disciplinary approach. The presentation is illustrated using the BPMN industry standard defined by the Object Management Group and widely endorsed by practitioners and vendors worldwide.In addition to explaining the relevant conceptual background, the book provides dozens of examples, more than 230 exercises – many with solutions – and numerous suggestions for further reading. This second edition includes extended and completely revised chapters on process identification, process discovery, qualitative process analysis, process redesign, process automation and process monitoring. A new chapter on BPM as an enterprise capability has been added, which expands the scope of the book to encompass topics such as the strategic alignment and governance of BPM initiatives.The textbook is the result of many years of combined teaching experience of the authors, both at the undergraduate and graduate levels as well as in the context of professional training. Students and professionals from both business management and computer science will benefit from the step-by-step style of the textbook and its focus on fundamental concepts and proven methods. Lecturers will appreciate the class-tested format and the additional teaching material available on the accompanying website.

ABRAMS Books

AccountingTools, Inc.,

Addison-Wesley Professional

American Library Association

Apple Academic Press

ASCD

Basic Books

Bedford/St. Martin's

Bloomsbury Publishing

BoD – Books on Demand

BPP

Brass Check Marketing

Business Expert Press

Business Law Seminar Group, LLC

Cambridge University Press

Career Press

Causey Enterprises, LLC

Cengage AU

Cengage Learning

Cengage Learning Emea

CRC Press

Crown Publishing Group

de Gruyter

Doubleday Canada

Edward Elgar Publishing

Elsevier

Elsevier Science

Emerald Group Publishing

Emerald Group Publishing Limited

EMRAH YAYICI

Financial Times Prentice Hall (a Pearson Education Company)

Financial Times/ Prentice Hall

Financial Times/Prentice Hall

FlatWorld

Gilles Kroger

Guilford Press

HarperCollins

HarperCollins Publishers

HBR Guide

I.B. Tauris

IAP

IGI Global

Independent Publishers Group

InterVarsity Press

Irwin/McGraw-Hill

Jaico Publishing House

John Wiley & Sons

John Wiley & Sons, Inc.

Jones & Bartlett Learning

Jones & Bartlett Learning LLC

Juta and Company Ltd

Knopf Doubleday Publishing Group

Kogan Page

Kogan Page Publishers

Kuperard

Little, Brown & Company

Longman

M.E. Sharpe

Macmillan Education UK

Macmillan Higher Education

Mark Smith

McGraw Hill

McGraw Hill Higher Education

McGraw-Hill Companies

McGraw-Hill Education

McGraw-Hill Education (UK)

McGraw-Hill Education (UK) Limited (ISE)

McGraw-Hill Education LLC

McGraw-Hill Higher Education

McGraw-Hill US Higher Ed ISE

McGraw-Hill/Irwin

MHE

MIT Press

New Age International

New York

Open Road Integrated Media

Open University Press

O'Reilly Media, Inc.

OUP Oxford

Oxford University Press