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Systems Analysis and Design

Systems Analysis and Design PDF Author: Martin Hughes
Publisher:
ISBN: 9780333693438
Category : System analysis
Languages : en
Pages : 234

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Book Description

Systems Analysis and Design

Systems Analysis and Design PDF Author: Martin Hughes
Publisher:
ISBN: 9780333693438
Category : System analysis
Languages : en
Pages : 234

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Book Description


Mastering Systems Analysis Design

Mastering Systems Analysis Design PDF Author: Martin Hughes
Publisher: Red Globe Press
ISBN: 0333748034
Category : Computers
Languages : en
Pages : 234

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Book Description
This book provides a practically-based introduction to the tools and techniques of computer systems analysis and design. The notation and terminology used is compatible with the latest version of the official UK government method, SSADM version 4.2+, but the order and delivery has been simplified to make it suitable as a first text in the subject for students on Computing, Information Systems and Business Studies degrees, especially those on modular courses. To emphasise the practical aspects of the topic, reference material and case studies are supported by an independent example, so that teaching and learning activities can progress independently but in parallel. This allows the material to be used by students and lecturers to support more advanced practical courses, especially where group activities and role-playing are involved. In addition, advice on professional practice and common skills are made where appropriate throughout the text.

Mastering Non-Functional Requirements

Mastering Non-Functional Requirements PDF Author: Sameer Paradkar
Publisher: Packt Publishing Ltd
ISBN: 178829789X
Category : Computers
Languages : en
Pages : 230

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Book Description
This book covers the most critical 24 NFRs that are applicable to IT applications and systems. About This Book Explains three stages of nonfunctional requirements, that is, analysis, architecture, and assessment In-depth knowledge of NFR framework and taxonomy that provides guidance around the modelling phase for the NFRs Coverage of 24 critical and pivotal NFRs, including the analysis, architecture, and assessment. Who This Book Is For The primary audience for this title are the gamut of roles starting from IT consultant to chief architects who are responsible to deliver strategic, tactical, and operational engagements for fortune 100 customers worldwide. Nonfunctional requirements are the key to any software / IT program. They cannot be overlooked or ignored. The book provides a comprehensive approach from analysis, architecture, and measurement of nonfunctional requirements. The book includes considerations for bespoke (Java, .Net, and COTS applications). These are applicable to IT applications from various domains. The book outlines the methodology for capturing the NFRs and also describes a framework that can be leveraged by analysts and architects for tackling NFRs for various engagements. The audience for this book include business analysts, enterprise architects, business architects, solution architects, technical architects/designers, domain/security/integration architects, software developers, support engineers and test engineers, technical project managers, project leads/technical leads/technical project managers, and students from the computer science/IT stream What You Will Learn Learn techniques related to the analysis, architecture, and monitoring of NFRs Understand the various tools, techniques, and processes in order to improve the overall quality of the desired outcomes Embrace the best practices of architecting, metrics, and success factors for NFRs Identify the common pitfalls to be avoided and the patterns to leverage Understand taxonomy and framework for NFRs Learn the design guidelines for architecting applications and systems relating to NFRs Abstract different methodologies to analyze and gather NFRs In Detail Non-functional Requirements are key to any software/IT program and cannot be overlooked or ignored. This book provides a comprehensive approach to the analysis, architecture, and measurement of NFRs. It includes considerations for bespoke Java, .NET, and COTS applications that are applicable to IT applications/systems in different domains. The book outlines the methodology for capturing the NFRs and also describes a framework that can be leveraged by analysts and architects for tackling NFRs for various engagements. This book starts off by explaining the various KPIs, taxonomies, and methods for identifying NFRs. Learn the design guidelines for architecting applications and systems relating to NFRs and design principles to achieve the desired outcome. We will then move on to various key tiers/layers and patterns pertaining to the business, database, and integrating tiers. After this, we will dive deep into the topics pertaining to techniques related to monitoring and measurement of NFRs, such as sizing, analytical modeling, and quality assurance. Lastly, we end the book by describing some pivotal NFRs and checklists for the software quality attributes related to the business, application, data, and infrastructure domains. Style and approach The book takes a pragmatic approach, describing various techniques related to the analysis of NFRs, the architecture of NFRs, and assessment of NFRs.

Mastering Predictive Analytics with R

Mastering Predictive Analytics with R PDF Author: James D. Miller
Publisher: Packt Publishing Ltd
ISBN: 1787124355
Category : Computers
Languages : en
Pages : 448

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Book Description
Master the craft of predictive modeling in R by developing strategy, intuition, and a solid foundation in essential concepts About This Book Grasping the major methods of predictive modeling and moving beyond black box thinking to a deeper level of understanding Leveraging the flexibility and modularity of R to experiment with a range of different techniques and data types Packed with practical advice and tips explaining important concepts and best practices to help you understand quickly and easily Who This Book Is For Although budding data scientists, predictive modelers, or quantitative analysts with only basic exposure to R and statistics will find this book to be useful, the experienced data scientist professional wishing to attain master level status , will also find this book extremely valuable.. This book assumes familiarity with the fundamentals of R, such as the main data types, simple functions, and how to move data around. Although no prior experience with machine learning or predictive modeling is required, there are some advanced topics provided that will require more than novice exposure. What You Will Learn Master the steps involved in the predictive modeling process Grow your expertise in using R and its diverse range of packages Learn how to classify predictive models and distinguish which models are suitable for a particular problem Understand steps for tidying data and improving the performing metrics Recognize the assumptions, strengths, and weaknesses of a predictive model Understand how and why each predictive model works in R Select appropriate metrics to assess the performance of different types of predictive model Explore word embedding and recurrent neural networks in R Train models in R that can work on very large datasets In Detail R offers a free and open source environment that is perfect for both learning and deploying predictive modeling solutions. With its constantly growing community and plethora of packages, R offers the functionality to deal with a truly vast array of problems. The book begins with a dedicated chapter on the language of models and the predictive modeling process. You will understand the learning curve and the process of tidying data. Each subsequent chapter tackles a particular type of model, such as neural networks, and focuses on the three important questions of how the model works, how to use R to train it, and how to measure and assess its performance using real-world datasets. How do you train models that can handle really large datasets? This book will also show you just that. Finally, you will tackle the really important topic of deep learning by implementing applications on word embedding and recurrent neural networks. By the end of this book, you will have explored and tested the most popular modeling techniques in use on real- world datasets and mastered a diverse range of techniques in predictive analytics using R. Style and approach This book takes a step-by-step approach in explaining the intermediate to advanced concepts in predictive analytics. Every concept is explained in depth, supplemented with practical examples applicable in a real-world setting.

Engineering Dependable Software Systems

Engineering Dependable Software Systems PDF Author: NATO Emerging Security Challenges Division
Publisher: IOS Press
ISBN: 161499207X
Category : Computers
Languages : en
Pages : 376

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Book Description
Because almost all technical systems are more or less interfaced with software these days, attacks against computer systems can cause considerable economic and physical damage. For this reason, understanding the dependability of such systems, as well as the improvement of cyber security and its development process, are amongst the most challenging and crucial issues in current computer science research. This book contains the lectures from the NATO Advanced Study Institute (ASI) Summer School entitled Engineering Dependable Software Systems, held in Marktoberdorf, Germany, in July and August 2012. This two week course for young computer scientists and mathematicians working in the field of formal software and systems was designed to give an in-depth presentation of state-of-the-art topics in the field, as well as promoting international contacts and collaboration and the teaming up of leading researchers and young scientists. The 12 lectures delivered at the school and presented here cover subjects including: model-based testing, formal modeling and verification, deductively verified software, model checking, performance analysis, integrating risk analysis, embedded systems and model checking, among others. The book will be of interest to all those whose work involves the development of large-scale, reliable and secure software systems.

Advanced Technology in Teaching

Advanced Technology in Teaching PDF Author: Wei Zhang
Publisher: Springer Science & Business Media
ISBN: 3642294588
Category : Technology & Engineering
Languages : en
Pages : 914

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Book Description
2012 International Conference on Teaching and Computational Science (ICTCS 2012) is held on April 1-2, 2012, Macao. This volume contains 120 selected papers presented at 2012 International Conference on Teaching and Computational Science (ICTCS 2012), which is to bring together researchers working in many different areas of teaching and computational Science to foster international collaborations and exchange of new ideas. This volume book can be divided into two sections on the basis of the classification of manuscripts considered. The first section deals with teaching. The second section of this volume consists of computational Science. We hope that all the papers here published can benefit you in the related researching fields.

Rethinking Systems Analysis & Design

Rethinking Systems Analysis & Design PDF Author: Gerald M. Weinberg
Publisher: Dorset House
ISBN: 9780932633088
Category : Science
Languages : en
Pages : 193

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Book Description
An Eye-Opening, Intuitive Approach to the More Subtle Problems of Analysis and Design Systems analysis and design have solved many problems, but they have also created many problems. This unique book tackles crucial analysis and design issues that are glossed over in conventional texts. It recognizes that while many problems are solved with systems analysis and design, many problems are also created. Using a short, highly readable essay format, Rethinking Systems Analysis & Design presents readers with both the logical and the more intuitive aspects of the analysis/design process. The book is not intended as an alternative to structured analysis and design, but rather as a supplement for those who must deal with the less structured processes of analysis and design. A witty and illustrative fable concludes each of this engaging book's seven parts. Among the informative topics are - mastering complexity - general systems thinking - observing and interviewing - trading off quality versus cost - understanding the designer's mind - design philosophy.

Mastering Biology

Mastering Biology PDF Author: Fred Kilgour
Publisher: Bloomsbury Publishing
ISBN: 1349140686
Category : Science
Languages : en
Pages : 405

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Book Description
Mastering Biology 3rd edition has been fully revised and updated to provide the information required for today's syllabuses. The book provides an interactive element where the readers can focus on the learning objectives, find them easily in each chapter, check their knowledge and understanding by answering the wide-ranging questions and revise their work using the end of chapter summaries. Mastering Biology can be a useful primer for students beginning A Level Biology after studying an integrated course at GCSE. It will also appeal to further education students.

Cybernetics and Algorithms in Intelligent Systems

Cybernetics and Algorithms in Intelligent Systems PDF Author: Radek Silhavy
Publisher: Springer
ISBN: 3319911929
Category : Technology & Engineering
Languages : en
Pages : 452

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Book Description
This book presents new approaches and methods applied to real-world problems, and in particular, exploratory research relating to novel approaches in the field of cybernetics and automation control theory. Particularly focusing on modern trends in selected fields of interest, it presents new algorithms and methods in intelligent systems in cybernetics. This book constitutes the third volume of the refereed proceedings of the Cybernetics and Algorithms in Intelligent Systems Section of the 7th Computer Science On-line Conference 2018 (CSOC 2018), held online in April 2018.

Unified Modeling Language: Systems Analysis, Design and Development Issues

Unified Modeling Language: Systems Analysis, Design and Development Issues PDF Author: Siau, Keng
Publisher: IGI Global
ISBN: 1930708998
Category : Computers
Languages : en
Pages : 288

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Book Description
UML is a large and complex language, with many features in need of refinement or clarification, and there are different views about how to use UML to build systems. This book sheds light on such issues, by illustrating how UML can be used successfully in practice as well as identifying various problematic aspects of UML and suggesting possible solutions.