The methods are more practical than the common probabilistic based algorithms, since these can be appiled in unknown but bounded noisy environment.

Teaching at Scale explores the characteristics and parameters of large-scale online learning by identifying, in its perceived drawbacks, a wealth of educational opportunities in disguise. Scalable learning platforms have exploded in popularity over recent years, with MOOCS (massive open online courses), online degree programs, informal learning communities, and alternative credentials all drawing significant enrollments. But, as many educators are asking, are the challenges to delivering education at scale too great and the compromises too many? This book guides instructors to leverage their complex responsibilities-open-ended assessments at scale, individuated feedback to students, academic integrity in less controlled environments, and more-into significant assets. Informed by real-world institutional experience as well as key research in cognitive science and the learning sciences, each chapter provides practical strategies for educators and administrators seeking to solve problems and fulfill the high-quality, broad-access potential of large-scale instruction for lifelong learners.

Vulnerability management (VM) has been around for millennia. Cities, tribes, nations, and corporations have all employed its principles. The operational and engineering successes of any organization depend on the ability to identify and remediate a vulnerability that a would-be attacker might seek to exploit. What were once small communities became castles. Cities had fortifications and advanced warning systems. All such measures were the result of a group recognizing their vulnerabilities and addressing them in different ways. Today, we identify vulnerabilities in our software systems, infrastructure, and enterprise strategies. Those vulnerabilities are addressed through various and often creative means. Vulnerability Management demonstrates a proactive approach to the discipline. Illustrated with examples drawn from Park Foreman's more than three decades of multinational experience, the book demonstrates how much easier it is to manage potential weaknesses than to clean up after a violation. Covering the diverse realms that CISOs need to know and the specifics applicable to singular areas of departmental responsibility, he provides both the strategic vision and action steps needed to prevent the exploitation of IT security gaps, especially those that are inherent in a larger organization. Completely updated, the second edition provides a fundamental understanding of technology risks-including a new chapter on cloud vulnerabilities and risk management-from an interloper's perspective. This book is a guide for security practitioners, security or network engineers, security officers, and CIOs seeking understanding of VM and its role in the organization. To serve various audiences, it covers significant areas of VM. Chapters on technology provide executives with a high-level perspective of what is involved. Other chapters on process and strategy, although serving the executive well, provide engineers and security managers with perspective on the role of VM technology and processes in the success of the enterprise.

Linear algebra is growing in importance. 3D entertainment, animations in movies and video games are developed using linear algebra. Animated characters are generated using equations straight out of this book. Linear algebra is used to extract knowledge from the massive amounts of data generated from modern technology. The Fourth Edition of this popular text introduces linear algebra in a comprehensive, geometric, and algorithmic way. The authors start with the fundamentals in 2D and 3D, then move on to higher dimensions, expanding on the fundamentals and introducing new topics, which are necessary for many real-life applications and the development of abstract thought. Applications are introduced to motivate topics. The subtitle, A Geometry Toolbox, hints at the book's geometric approach, which is supported by many sketches and figures. Furthermore, the book covers applications of triangles, polygons, conics, and curves. Examples demonstrate each topic in action. This practical approach to a linear algebra course, whether through classroom instruction or self-study, is unique to this book. New to the Fourth Edition: Ten new application sections. A new section on change of basis. This concept now appears in several places. Chapters 14-16 on higher dimensions are notably revised. A deeper look at polynomials in the gallery of spaces. Introduces the QR decomposition and its relevance to least squares. Similarity and diagonalization are given more attention, as are eigenfunctions. A longer thread on least squares, running from orthogonal projections to a solution via SVD and the pseudoinverse. More applications for PCA have been added. More examples, exercises, and more on the kernel and general linear spaces. A list of applications has been added in Appendix A. The book gives instructors the option of tailoring the course for the primary interests of their students: mathematics, engineering, science, computer graphics, and geometric modeling.

This comprehensive reference text discusses nature inspired algorithms and their applications. It presents the methodology to write new algorithms with the help of MATLAB programs and instructions for better understanding of concepts. It covers well-known algorithms including evolutionary algorithms, genetic algorithm, particle Swarm optimization and differential evolution, and recent approached including gray wolf optimization. A separate chapter discusses test case generation using techniques such as particle swarm optimization, genetic algorithm, and differential evolution algorithm. The book- Discusses in detail various nature inspired algorithms and their applications Provides MATLAB programs for the corresponding algorithm Presents methodology to write new algorithms Examines well-known algorithms like the genetic algorithm, particle swarm optimization and differential evolution, and recent approaches like gray wolf optimization. Provides conceptual linking of algorithms with theoretical concepts The text will be useful for graduate students in the field of electrical engineering, electronics engineering, computer science and engineering. Discussing nature inspired algorithms and their applications in a single volume, this text will be useful as a reference text for graduate students in the field of electrical engineering, electronics engineering, computer science and engineering. It discusses important algorithms including deterministic algorithms, randomized algorithms, evolutionary algorithms, particle swarm optimization, big bang big crunch (BB-BC) algorithm, genetic algorithm and grey wolf optimization algorithm. "

Guides the reader into the mysteries of water. Provides a state-of-the-art overview in computer simulations and experiments on water. Brings together leading scientists in the field of water.

Digital transformation is a multidimensional concept and involves many moving parts. Successful digital transformation requires a fresh approach to harnessing people, processes, technology, and data to develop new business models and digital ecosystems. One main barrier could be an overemphasis on applying technology to expand the business rather than transforming the people's mindsets to do things differently. Thus, it is important to develop a holistic view of these parts and assemble them to foster the right conditions for digital transformation to happen. Business leaders and executives must be equipped with a wide range of digital competencies to thrive in a rapidly changing digital environment. Digital Transformation: Strategy, Execution, and Technology provides an overall view on the strategy, execution, and technology for organizations aiming to transform digitally. It offers insights on how to become more successful in the digital age by explaining the importance and relevance of the various building blocks which form the foundation of a digital organization. It shows the reader how to develop these building blocks in the organization as part of the digital transformation journey from both a business and technical perspective. Highlights of the book include: Digital transformation strategy Digital governance and risk management Digital organization and change management Experimental learning and design thinking Digital product management Agile and DevSecOps Digital enterprise architecture Business applications of digital technology This practical guide is written keeping business and information technology professionals and digital transformation practitioners in mind. It is also suitable for students pursuing postgraduate degrees and participants attending executive education programs in business and information technology.

Written by an author that has real world experience in launching a cyber consulting company. Comprehensive coverage ranging all the way from the legal formation to be used to which segment of the Cybersecurity Industry should be targeted. Explains how CISOs can market their services and get key customers.

The first COVID-19 case in the US was reported on January 20, 2020. As the first cases were being reported in the US, Washington State became a reliable source not just for hospital bed demand based on incidence and community spread but also for modeling the impact of skilled nursing facilities and assisted living facilities on hospital bed demand. Various hospital bed demand modeling efforts began in earnest across the United States in university settings, private consulting and health systems. Nationally, the University of Washington Institute of Health Metrics and Evaluation seemed to gain a footing and was adopted as a source for many states for its ability to predict the epidemiological curve by state, including the peak. This book therefore addresses a compelling need for documenting what has been learned by the academic and professional healthcare communities in healthcare analytics and disaster preparedness to this point in the pandemic. What is clear, at least from the US perspective, is that the healthcare system was unprepared and uncoordinated from an analytics perspective. Learning from this experience will only better prepare all healthcare systems and leaders for future crisis. Both prospectively, from a modeling perspective and retrospectively from a root cause analysis perspective, analytics provide clarity and help explain causation and data relationships. A more structured approach to teaching healthcare analytics to students, using the pandemic and the rich dataset that has been developed, provides a ready-made case study from which to learn and inform disaster planning and preparedness. The pandemic has strained the healthcare and public health systems. Researchers and practitioners must learn from this crisis to better prepare our processes for future pandemics, at minimum. Finally, government officials and policy makers can use this data to decide how best to assist the healthcare and public health systems in crisis.

1) Provides the reader with self-study problems to solve, such as 2D models to model in 3D using CATIA 2) Includes access to video tutorials for further understanding of 3D technical modelling 3) Covers topics including programming, automation and scripting 4) Provides examples of realistic and commonly encountered examples, rather than complex theory

Unique selling point: Exploration of the societal and ethical issues surrounding the use and development of digital technology Core audience: IT managers and executives; academic researchers; students of IT Place in the market: Professional title with appeal to academics and students

As long as humans write software, the key to successful software security is making the software development program process more efficient and effective. Although the approach of this textbook includes people, process, and technology approaches to software security, Practical Core Software Security: A Reference Framework stresses the people element of software security, which is still the most important part to manage as software is developed, controlled, and exploited by humans. The text outlines a step-by-step process for software security that is relevant to today's technical, operational, business, and development environments. It focuses on what humans can do to control and manage a secure software development process using best practices and metrics. Although security issues will always exist, students learn how to maximize an organization's ability to minimize vulnerabilities in software products before they are released or deployed by building security into the development process. The authors have worked with Fortune 500 companies and have often seen examples of the breakdown of security development lifecycle (SDL) practices. The text takes an experience-based approach to apply components of the best available SDL models in dealing with the problems described above. Software security best practices, an SDL model, and framework are presented in this book. Starting with an overview of the SDL, the text outlines a model for mapping SDL best practices to the software development life cycle (SDLC). It explains how to use this model to build and manage a mature SDL program. Exercises and an in-depth case study aid students in mastering the SDL model. Professionals skilled in secure software development and related tasks are in tremendous demand today. The industry continues to experience exponential demand that should continue to grow for the foreseeable future. This book can benefit professionals as much as students. As they integrate the book's ideas into their software security practices, their value increases to their organizations, management teams, community, and industry.

This book provides a collection of papers from the Ninth Workshop on Computing: Theory and Practice, WCTP 2019 devoted to theoretical and practical approaches to computation, which was organized by four top universities in Japan and the Philippines: Tokyo Institute of Technology, Osaka University, the University of the Philippines Diliman, and De La Salle University. The proceedings provide a broad overview of recent research trends in computer science research in Asia, particularly in these two countries. The papers included in the proceedings focus on both theoretical and practical aspects of computations, such as programming language theory, modeling of software systems, applications of machine learning, empathic computing, and various applications of information technology.

the first book on Unity for embedded systems design and robotics a comprehensive step-by-step guide packed with illustrations each chapter contains a real project

Data Science for Effective Healthcare Systems has a prime focus on the importance of data science in the healthcare domain. Various applications of data science in the health care domain have been studied to find possible solutions. In this period of COVID-19 pandemic data science and allied areas plays a vital role to deal with various aspect of health care. Image processing, detection & prevention from COVID-19 virus, drug discovery, early prediction, and prevention of diseases are some thrust areas where data science has proven to be indispensable. Key Features: The book offers comprehensive coverage of the most essential topics, including: Big Data Analytics, Applications & Challenges in Healthcare Descriptive, Predictive and Prescriptive Analytics in Healthcare Artificial Intelligence, Machine Learning, Deep Learning and IoT in Healthcare Data Science in Covid-19, Diabetes, Coronary Heart Diseases, Breast Cancer, Brain Tumor The aim of this book is also to provide the future scope of these technologies in the health care domain. Last but not the least, this book will surely benefit research scholar, persons associated with healthcare, faculty, research organizations, and students to get insights into these emerging technologies in the healthcare domain.

The text is written to provide readers with a comprehensive study of information security and management system, audit planning and preparation, audit techniques and collecting evidence, international information security (ISO) standard 27001, and asset management. It further discusses important topics such as security mechanisms, security standards, audit principles, audit competence and evaluation methods, and the principles of asset management. It will serve as an ideal reference text for senior undergraduate, graduate students, and researchers in fields including electrical engineering, electronics and communications engineering, computer engineering, and information technology. The book explores information security concepts and applications from an organizational information perspective and explains the process of audit planning and preparation. It further demonstrates audit techniques and collecting evidence to write important documentation by following the ISO 27001 standards. The book: Elaborates on the application of confidentiality, integrity, and availability (CIA) in the area of audit planning and preparation Covers topics such as managing business assets, agreements on how to deal with business assets, and media handling Demonstrates audit techniques and collects evidence to write the important documentation by following the ISO 27001 standards Explains how the organization's assets are managed by asset management, and access control policies Presents seven case studies

Align IT projects strategically to achieve business goals and objectives Project management and leadership to seize opportunities and manage threats Build and follow a roadmap to implement strategic governance Assess and improve project management capabilities Includes templates and case studies

Teaching at Scale explores the characteristics and parameters of large-scale online learning by identifying, in its perceived drawbacks, a wealth of educational opportunities in disguise. Scalable learning platforms have exploded in popularity over recent years, with MOOCS (massive open online courses), online degree programs, informal learning communities, and alternative credentials all drawing significant enrollments. But, as many educators are asking, are the challenges to delivering education at scale too great and the compromises too many? This book guides instructors to leverage their complex responsibilities-open-ended assessments at scale, individuated feedback to students, academic integrity in less controlled environments, and more-into significant assets. Informed by real-world institutional experience as well as key research in cognitive science and the learning sciences, each chapter provides practical strategies for educators and administrators seeking to solve problems and fulfill the high-quality, broad-access potential of large-scale instruction for lifelong learners.

the first book on Unity for embedded systems design and robotics a comprehensive step-by-step guide packed with illustrations each chapter contains a real project

Portrays material through multidisciplinary lens of psychology, criminal justice, law, and security Provides consistent, practical information about online criminals and victims Compares online to offline versions of the same crime Discusses adequacy of current laws for prosecuting cybercriminals Considers elements of the online environment that foster criminal activity Describes social engineering techniques Considers the role of intimate partner violence in cybercrimes Reviews 21st century skills needed to educate and protect potential targets

While simulation has a vast area of application, this textbook focuses on the use of simulation to analyse business processes. It provides an up-to-date coverage of all stages of the discrete-event simulation (DES) process, covering important areas such as conceptual modelling, modelling input data, verification and validation and simulation output analysis. The book is comprehensive yet uncomplicated, covering the theoretical aspects of the subject and the practical elements of a typical simulation project, demonstrated by cases, examples and exercises. It also shows how simulation relates to new developments in machine learning, big data analytics and conceptual modelling techniques. Guidance is provided on how to build DES models using the Arena, Simio and Simul8 simulation software, and tutorials for using the software are incorporated throughout. Simulation Modelling offers a uniquely practical and end-to-end overview of the subject, which makes it perfect required or recommended reading for advanced undergraduate and postgraduate students studying business simulation and simulation modelling as part of operations research, business analytics, supply chain management and computer science courses.

Due to efficacy and optimization potential of genetic and evolutionary algorithms, they are used in learning and modeling especially with the advent of big data related problems. This book presents the algorithms and strategies specifically associated with pertinent issues in materials science domain. It discusses the procedures for evolutionary multi-objective optimization of objective functions created through these procedures and introduces available codes. Recent applications ranging from primary metal production to materials design are covered. It also describes hybrid modeling strategy, and other common modeling and simulation strategies like molecular dynamics, cellular automata etc. Features: Focuses on data-driven evolutionary modeling and optimization, including evolutionary deep learning. Include details on both algorithms and their applications in materials science and technology. Discusses hybrid data-driven modeling that couples evolutionary algorithms with generic computing strategies. Thoroughly discusses applications of pertinent strategies in metallurgy and materials. Provides overview of the major single and multi-objective evolutionary algorithms. This book aims at Researchers, Professionals, and Graduate students in Materials Science, Data-Driven Engineering, Metallurgical Engineering, Computational Materials Science, Structural Materials, and Functional Materials.

Shows how social services provided now and in the future can be enhanced through digitization. Contains country case-studies from USA, Brasil, Korea, Taiwan, Hong Kong (China), India, Zimbabwe, Morocco, Spain, Portugal, Ireland and Singapore. Will be of interest to all scholars and students of social work, social policy and social welfare provision.

The proposed book provides a comprehensive coverage of theory and methods in the areas of continuous optimization and variational inequality. It describes theory and solution methods for optimization with smooth and non-smooth functions, for variational inequalities with single-valued and multivalued mappings, and for related classes such as mixed variational inequalities, complementarity problems, and general equilibrium problems. The emphasis is made on revealing generic properties of these problems that allow creation of efficient solution methods. Salient Features The book presents a deep, wide-ranging introduction to the theory of the optimal control of processes governed by optimization techniques and variational inequality Several solution methods are provided which will help the reader to develop various optimization tools for real-life problems which can be modeled by optimization techniques involving linear and nonlinear functions. The book focuses on most recent contributions in the nonlinear phenomena, which can appear in various areas of human activities. This book also presents relevant mathematics clearly and simply to help solve real life problems in diverse fields such as mechanical engineering, management, control behavior, traffic signal, industry, etc. This book is aimed primarily at advanced undergraduates and graduate students pursuing computer engineering and electrical engineering courses. Researchers, academicians and industry people will also find this book useful.