Your answer to the software project management gap The Complete Software Project Manager: From Planning to Launch and Beyond addresses an interesting problem experienced by today's project managers: they are often leading software projects, but have no background in technology. To close this gap in experience and help you improve your software project management skills, this essential text covers key topics, including: how to understand software development and why it is so difficult, how to plan a project, choose technology platforms, and develop project specifications, how to staff a project, how to develop a budget, test software development progress, and troubleshoot problems, and what to do when it all goes wrong. Real-life examples, hints, and management tools help you apply these new ideas, and lists of red flags, danger signals, and things to avoid at all costs assist in keeping your project on track. Companies have, due to the nature of the competitive environment, been somewhat forced to adopt new technologies. Oftentimes, the professionals leading the development of these technologies do not have any experience in the tech field and this can cause problems. To improve efficiency and effectiveness, this groundbreaking book offers guidance to professionals who need a crash course in software project management. * Review the basics of software project management, and dig into the more complicated topics that guide you in developing an effective management approach * Avoid common pitfalls by perusing red flags, danger signals, and things to avoid at all costs * Leverage practical roadmaps, charts, and step-by-step processes * Explore real-world examples to see effective software project management in action The Complete Software Project Manager: From Planning to Launch and Beyond is a fundamental resource for professionals who are leading software projects but do not have a background in technology.

This Volume contains the Keynote, Invited and Full Contributed papers presented at COMPSTAT'98. A companion volume (Payne & Lane, 1998) contains papers describing the Short Communications and Posters. COMPSTAT is a one-week conference held every two years under the auspices of the International Association of Statistical Computing, a section of the International Statistical Institute. COMPSTAT'98 is organised by IACR-Rothamsted, IACR-Long Ashton, the University of Bristol Department of Mathematics and the University of Bath Department of Mathematical Sciences. It is taking place from 24-28 August 1998 at University of Bristol. Previous COMPSTATs (from 1974-1996) were in Vienna, Berlin, Leiden, Edinburgh, Toulouse, Prague, Rome, Copenhagen, Dubrovnik, Neuchatel, Vienna and Barcelona. The conference is the main European forum for developments at the interface between statistics and computing. This was encapsulated as follows in the COMPSTAT'98 Call for Papers. Statistical computing provides the link between statistical theory and applied statistics. The scientific programme of COMPSTAT ranges over all aspects of this link, from the development and implementation of new computer-based statistical methodology through to innovative applications and software evaluation. The programme should appeal to anyone working in statistics and using computers, whether in universities, industrial companies, research institutes or as software developers.

Geschaftsvorgange werden zunehmend elektronisch abgewickelt. Electronic Commerce, Internet Banking und Global Supply Chain Management sind nur Beispiele dafur, in welcher atemberaubenden Geschwindigkeit sich Wirtschaft und Gesellschaft durch den Einsatz von Informationssystemen verandern.
Schwerpunkte des Buches sind Beitrage zu den Themenbereichen Internet und Elektronische Markte, Standardsoftware und Referenzmodelle, Geschaftsprozessoptimierung, Groupware und Workflow, Virtuelle Organisationsformen und Kooperationsmodelle, Softwareentwicklung und -bewertung, Wissensmanagement und Lernwelten.
Namhafte Autoren wie H. Plattner, T.W. Malone, P. Mertens haben an diesem Werk mitgewirkt. Das Buch richtet sich sowohl an Wissenschaftler als auch an Praktiker. Dem Praktiker soll das Buch Orientierungshilfe bieten und dem Wissenschaftler eine umfassende Darstellung des Forschungsfeldes."

This companion to The New Statistical Analysis of Data by Anderson and Finn provides a hands-on guide to data analysis using SPSS. Included with this guide are instructions for obtaining the data sets to be analysed via the World Wide Web. First, the authors provide a brief review of using SPSS, and then, corresponding to the organisation of The New Statistical Analysis of Data, readers participate in analysing many of the data sets discussed in the book. In so doing, students both learn how to conduct reasonably sophisticated statistical analyses using SPSS whilst at the same time gaining an insight into the nature and purpose of statistical investigation.

Maple V Mathematics Programming Guide is the fully updated language and programming reference for Maple V Release 5. It presents a detailed description of Maple V Release 5 - the latest release of the powerful, interactive computer algebra system used worldwide as a tool for problem-solving in mathematics, the sciences, engineering, and education. This manual describes the use of both numeric and symbolic expressions, the data types available, and the programming language statements in Maple. It shows how the system can be extended or customized through user defined routines and gives complete descriptions of the system's user interface and 2D and 3D graphics capabilities.

This upper-division laboratory supplement for courses in abstract algebra consists of several Mathematica packages programmed as a foundation for group and ring theory. Additionally, the "user's guide" illustrates the functionality of the underlying code, while the lab portion of the book reflects the contents of the Mathematica-based electronic notebooks. Students interact with both the printed and electronic versions of the material in the laboratory, and can look up details and reference information in the user's guide. Exercises occur in the stream of the text of the lab, which provides a context within which to answer, and the questions are designed to be either written into the electronic notebook, or on paper. The notebooks are available in both 2.2 and 3.0 versions of Mathematica, and run across all platforms for which Mathematica exits. A very timely and unique addition to the undergraduate abstract algebra curriculum, filling a tremendous void in the literature.

Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare.

Before use, standard ERP systems such as SAP R/3 need to be customized to meet the concrete requirements of the individual enterprise. This book provides an overview of the process models, methods, and tools offered by SAP and its partners to support this complex and time-consuming process. It begins by characterizing the foundations of the latest ERP systems from both a conceptual and technical viewpoint, whereby the most important components and functions of SAP R/3 are described. The main part of the book then goes on to present the current methods and tools for the R/3 implementation based on newer process models (roadmaps).

Enhancing Enterprise Intelligence: Leveraging ERP, CRM, SCM, PLM, BPM, and BI takes a fresh look at the benefits of enterprise systems (ES), focusing on the fact that ES collectively contribute to enhancing the intelligence quotient of an enterprise. The book provides an overview of the characteristic domains (i.e., business functions, processes, and activities) addressed by the various categories of ES, namely, ERP, CRM, SCM, PLM, BPM, and BI. The book begins with an overview of agile enterprises and dimensions of intelligent enterprises. The middle chapters detail CRM's decisive concept of customer centricity, SCM's differentiating concept of customer responsiveness, and PLM's stupendous transformative potential for renewing the enterprise along with the establishment of a collaborative enterprise with BPM and enterprise BPM methodology. The latter chapters deal with the realization of an informed enterprise with BI coupled with the novel concept of decision patterns. The author highlights the fact that any end-user application's effectiveness and performance can be enhanced by transforming it from a bare transaction to one clothed by a surrounding context formed from an aggregate of all relevant past decision patterns. The final chapter examines various aspects relating to a successful ES implementation project, and the appendix provides an overview of the SAP Business Suite to give you a practical context to the discussions presented in the book.

S+SPATIALSTATS is the first comprehensive, object-oriented package for the analysis of spatial data. Providing a whole new set of analysis tools, S+SPATIALSTATS was created specifically for the exploration and modeling of spatially correlated data. It can be used to analyze data arising in areas such as environmental, mining, and petroleum engineering, natural resources, geography, epidemiology, demography, and others where data is sampled spatially. This users manual provides the documentation for the S+SPATIALSTATS module.

Die Schwelle zur Informationsgesellschaft ist nach 30 Jahren Diskussion schon uberschritten, auch wenn weltweit noch uber die Wege dorthin diskutiert wird. Aber anstatt Betrachtungen uber Diskussionszyklen erfordert die Unumkehrbarkeit der Informatisierung in allen Lebensbereichen die klare Analyse der gewachsenen Strukturen in Technik, OEkonomie, Recht und Gesellschaft, um darauf Zukunft konkret zu gestalten. Rund um den Begriff eines "informationellen Vertrauens, das in den letzten Jahrzehnten noch nicht entstanden ist, das aber notwendigerweise und dringend zur Informationsgesellschaft gehoert, beschreiben die Autoren aus Wissenschaft und Praxis aus allen Disziplinen die Ausgestaltung unserer bereits vernetzten Welt. Der Jahres-Reader versteht sich als eine Grundlage einer anstehenden Neuorientierung hin zu einer systematischen und abgestimmten Gestaltung der technischen, wirtschaftlichen und regulativen Organisation kunftiger Infrastrukturen.

The Agile Guide to Business Analysis and Planning presents clear, actionable guidance for every product owner, product and program manager, business analyst, requirements engineer, and project manager seeking to improve agile analysis and planning. Renowned author and consultant Howard Podeswa teaches best practices drawn from agile and agile-adjacent frameworks, including ATDD, BDD, DevOps, CI/CD, Kanban, Scrum, SAFe, XP, Lean Thinking, Lean Startup, Circumstance-Based Market Segmentation, and theories of disruptive innovation. He offers a comprehensive agile roadmap for analyzing customer needs and planning product development, including discussion of legacy business analysis tools that still offer immense value to agile teams.

Using a running case study, Podeswa walks through the full agile product lifecycle, from visioning through release and continuous value delivery. You learn how to carry out agile analysis and planning responsibilities more effectively, using tools such as Kano analysis, minimum viable products (MVPs), minimum marketable features (MMFs), story maps, product roadmaps, customer journey mapping, value stream mapping, spikes, and the definition of ready (DoR). Podeswa presents each technique in context: what you need to know and when to apply each tool. Read this book to

• Master principles, frameworks, concepts, and practices of agile analysis and planning in order to maximize value delivery throughout the product's lifecycle
• Explore planning and analysis for short-term, long-term, and scaled agile initiatives using MVPs and data-informed learning to test hypotheses and find high-value features
• Split features into MMFs and small stories that deliver significant value and enable quick wins
• Refine, estimate, and specify features, stories, and their acceptance criteria, following ATDD/BDD guidance
• Address the unique analysis and planning challenges of scaled agile organizations
• Implement 13 practices for optimizing enterprise agility

Angesichts der tiefgreifenden A"nderungen der Transformationsprozesse im Finanzdienstleistungsbereich und in der betrieblichen Finanzwirtschaft sind innovative Financial-Management-LAsungen heute mehr denn je gefragt. Dieses Buch, welches sich gleichermaAen an EntscheidungstrAger und Fachexperten aus Praxis und Wissenschaft richtet, greift diesen Bedarf auf und prAsentiert richtungsweisende Forschungs- und Praxisarbeiten insbesondere in den Themenbereichen: Elektronische Finanzdienstleistungswirtschaft, Intermediation im elektronischen Wertpapierhandel/Online Brokerage, Risikomanagement und Kapitalallokation in Kreditinstituten und e-Insurance. Das Buch zeigt somit auf, welche vielversprechenden LAsungspotentiale durch den integrierten Einsatz informationstechnischer und finanzwirtschaftlicher Methoden und Konzepte erAffnet werden.

Das erfolgreiche Fachbuch widmet sich der psychosozialen Dimension der Projektarbeit. Vor diesem Hintergrund werden alle Projektphasen beleuchtet. Schwerpunkte sind: Planung und Gestaltung des Projektbeginns, methodische Hinweise zur Teamarbeit, Regeln der Gesprachsfuhrung, Umgang mit Macht, Hierarchie und Widerstand im Rahmen der Projektarbeit, Partizipation, Gestaltung des Projektendes, Rolle und Anforderungsprofil des Projektleiters.
Fachlich kompetent und ubersichtlich gestaltet, gibt das Arbeitsbuch eine ebenso praxisgerechte wie breitgefacherte Hilfestellung fur Projektleiter und Fuhrungskrafte in den verschiedensten Bereichen. In der Neuauflage wurden die Entwicklungen in der Praxis berucksichtigt. Das Buch ist zu einem Klassiker der Projektarbeit geworden und wird in vielen Firmen und Seminaren als Lehrbuch eingesetzt."

This book deals with selected problems of machine perception, using various 2D and 3D imaging sensors. It proposes several new original methods, and also provides a detailed state-of-the-art overview of existing techniques for automated, multi-level interpretation of the observed static or dynamic environment. To ensure a sound theoretical basis of the new models, the surveys and algorithmic developments are performed in well-established Bayesian frameworks. Low level scene understanding functions are formulated as various image segmentation problems, where the advantages of probabilistic inference techniques such as Markov Random Fields (MRF) or Mixed Markov Models are considered. For the object level scene analysis, the book mainly relies on the literature of Marked Point Process (MPP) approaches, which consider strong geometric and prior interaction constraints in object population modeling. In particular, key developments are introduced in the spatial hierarchical decomposition of the observed scenarios, and in the temporal extension of complex MRF and MPP models. Apart from utilizing conventional optical sensors, case studies are provided on passive radar (ISAR) and Lidar-based Bayesian environment perception tasks. It is shown, via several experiments, that the proposed contributions embedded into a strict mathematical toolkit can significantly improve the results in real world 2D/3D test images and videos, for applications in video surveillance, smart city monitoring, autonomous driving, remote sensing, and optical industrial inspection.

Past events have shed light on the vulnerability of mission-critical computer systems at highly sensitive levels. It has been demonstrated that common hackers can use tools and techniques downloaded from the Internet to attack government and commercial information systems. Although threats may come from mischief makers and pranksters, they are more likely to result from hackers working in concert for profit, hackers working under the protection of nation states, or malicious insiders. Securing an IT Organization through Governance, Risk Management, and Audit introduces two internationally recognized bodies of knowledge: Control Objectives for Information and Related Technology (COBIT 5) from a cybersecurity perspective and the NIST Framework for Improving Critical Infrastructure Cybersecurity (CSF). Emphasizing the processes directly related to governance, risk management, and audit, the book provides details of a cybersecurity framework (CSF), mapping each of the CSF steps and activities to the methods defined in COBIT 5. This method leverages operational risk understanding in a business context, allowing the information and communications technology (ICT) organization to convert high-level enterprise goals into manageable, specific goals rather than unintegrated checklist models. The real value of this methodology is to reduce the knowledge fog that frequently engulfs senior business management, and results in the false conclusion that overseeing security controls for information systems is not a leadership role or responsibility but a technical management task. By carefully reading, implementing, and practicing the techniques and methodologies outlined in this book, you can successfully implement a plan that increases security and lowers risk for you and your organization.

A greatly expanded and heavily revised second edition, this popular guide provides instructions and clear examples for running analyses of variance (ANOVA) and several other related statistical tests of significance with SPSS. No other guide offers the program statements required for the more advanced tests in analysis of variance. All of the programs in the book can be run using any version of SPSS, including versions 11 and 11.5. A table at the end of the preface indicates where each type of analysis (e.g., simple comparisons) can be found for each type of design (e.g., mixed two-factor design).
Providing comprehensive coverage of the basic and advanced topics in ANOVA, this is the only book available that provides extensive coverage of SPSS syntax, including the commands and subcommands that tell SPSS what to do, as well as the pull-down menu point-and-click method (PAC). Detailed explanation of the syntax, including what is necessary, desired, and optional helps ensure that users can validate the analysis being performed. The book features the output of each design along with a complete explanation of the related printout.
The new edition was reorganized to provide all analysis related to one design type in the same chapter. It now features expanded coverage of analysis of covariance (ANCOVA) and mixed designs, new chapters on designs with random factors, multivariate designs, syntax used in PAC, and all new examples of output with complete explanations. The new edition is accompanied by a CD-ROM with all of the book's data sets, as well as exercises for each chapter.
This book is ideal for readers familiar with the basic concepts of the ANOVA technique including both practicing researchers and data analysts, as well as advanced students learning analysis of variance.

COMPSTAT symposia have been held regularly since 1974 when they started in Vienna. This tradition has made COMPSTAT a major forum for the interplay of statistics and computer sciences with contributions from many well known scientists all over the world. The scientific programme of COMPSTAT '96 covers all aspects of this interplay, from user-experiences and evaluation of software through the development and implementation of new statistical ideas. All papers presented belong to one of the three following categories: - Statistical methods (preferable new ones) that require a substantial use of computing; - Computer environments, tools and software useful in statistics; - Applications of computational statistics in areas of substantial interest (environment, health, industry, biometrics, etc.).

The book, which contains over two hundred illustrations, is designed for use in school computer labs or with home computers, running the computer algebra system Maple, or its student version. It supports the interactive Maple worksheets, which the authors have developed and which are available free of charge via anonymous ftp (ftp.utirc.utoronto.ca (/pub/ednet/maths/maple)). The book addresses readers who are learning calculus at a pre-university level.

Der Vertrieb als Bindeglied zwischen Kunden und Unternehmen beeinflusst vor allem durch die Akquise ganz wesentlich den Unternehmenserfolg. Dabei ist der Vertrieb auf IT-Unterst tzung angewiesen. Die Gestaltung dieser Informationssysteme wird derzeit durch neue Trends herausgefordert. Dazu geh ren u. a. die Individualisierung und Hybridisierung des Leistungsangebots. Der Autor stellt in seiner ganzheitlichen Betrachtung neue Ans tze zur Gestaltung von Vertriebsinformationssystemen aus der Perspektive von Anbietern, Anwendern und Nutzern vor.

Mathematica combines symbolic and numerical calculations, plots, graphics programming, list calculations and structured documentation into an interactive environment. This book covers the program and shows with practical examples how even more complex problems can be solved with just a few commands.

From the reviews: "A valuable introductory textbook on Mathematica and is very useful to scientists and engineers who use Mathematica in their work." -- ZENTRALBLATT MATH

This book assembles papers which were presented at the biennial sympo sium in Computational Statistics held und er the a uspices of the International Association for Statistical Computing (IASC), a section of ISI, the Interna tional Statistical Institute. This symposium named COMPSTAT '94 was organized by the Statistical Institutes of the University of Vienna and the University of Technology of Vienna, Austria. The series of COMPSTAT Symposia started 1974 in Vienna. Mean while they took place every other year in Berlin (Germany, 1976), Leiden (The Netherlands, 1978), Edinburgh (Great Britain, 1980), Toulouse (France, 1982), Prague (Czechoslovakia, 1984), Rom (Italy, 1986), Copenhagen (Den mark, 1988), Dubrovnik (Yugoslavia, 1990) and Neuchatel (Switzerland, 1992). This year we are celebrating the 20th anniversary in Vienna, Austria. It has obviously been observed a movement from "traditional" computa tional statistics with emphasis on methods which produce results quickly and reliably, to computationally intensive methods like resampling procedures, Bayesian methods, dynamic graphics, to very recent areas like neural net works, accentuation on spatial statistics, huge data sets, analysis strategies, etc. For the organization of the symposium, new guidelines worked out by the IASC in written form were in effect this time. The goal was to refresh somehow the spirit of the start of COMPSTAT '74, keep the tradition of the series and ensure a certain continuity in the sequence of biannual meetings."

The analysis of time series data is an important aspect of data analysis across a wide range of disciplines, including statistics, mathematics, business, engineering, and the natural and social sciences. This package provides both an introduction to time series analysis and an easy-to-use version of a well-known time series computing package called Interactive Time Series Modelling. The programs in the package are intended as a supplement to the text Time Series: Theory and Methods, 2nd edition, also by Peter J. Brockwell and Richard A. Davis. Many researchers and professionals will appreciate this straightforward approach enabling them to run desk-top analyses of their time series data. Amongst the many facilities available are tools for: ARIMA modelling, smoothing, spectral estimation, multivariate autoregressive modelling, transfer-function modelling, forecasting, and long-memory modelling. This version is designed to run under Microsoft Windows 3.1 or later. It comes with two diskettes: one suitable for less powerful machines (IBM PC 286 or later with 540K available RAM and 1.1 MB of hard disk space) and one for more powerful machines (IBM PC 386 or later with 8MB of RAM and 2.6 MB of hard disk space available).

Maple is a computer algebraic system with a fast-growing number of users in universities, schools and other institutions. Werner Burkhardt provides a detailed step-by-step introduction for all first-time users, enabling you to become familiar with the way Maple works, as quickly and easily as possible. Using as examples problems from many different aspects of mathematics, problem solving using Maple is fully described in this easy-to-follow tutorial text. Each chapter is self-contained, so you can easily select areas of your own special interest. There are some 'test yourself' problems at the end of each chapter to check your progress, with solutions provided at the end of the book.