This book discusses common myths and misunderstandings about computer science. It is committed to solving these problems and trying to eliminate misconceptions in order to provide potential computer science pupils and the overall public a more realistic outlook of the field. It provides a perspective of different fields where computer science is applicable, such as the medical field, business, linguistics, robotics, agriculture, sports, and the environment. The book mentions that computer science (CS) is at the crossroads of most modern occupations. It discusses the development of human-computer interaction that has been going on for years, reshaping the way people do things today.

Selling your CTO on the merits of OpenShift and Kubernetes is only the beginning. To operate and scale OpenShift, you also need to know how to manage and expose resources to application teams and continuously deliver changes to the applications running in these environments. With this practical book, new and experienced developers and operators will learn specific techniques for operationalizing OpenShift and Kubernetes in the enterprise.

How to build test automation framework: How to build a perfect test automation framework
This book will not be a lot of programming or describing the huge number of patterns and instructions on how to write code. In this book, I tried to focus more on the concept of how and with what vision it is necessary to approach the creation of a test framework.

I wrote my first test framework back in 2014. It is still in use today. Yes, it added new versions, new modules. But the structure and the idea have not changed.

This book will be a lot of programming and describing the most popular design of patterns. In this book, I tried to focus more on the implementation concept of how and with what vision it is necessary to approach the creation of a test framework and an architecture.

I wrote my first automation testing framework back in 2014. This framework contained were a large number of architectural problems. But it is still in use today.

This comprehensive book gives an overview of how cognitive systems and artificial intelligence (AI) can be used in electronic warfare (EW). Readers will learn how EW systems respond more quickly and effectively to battlefield conditions where sophisticated radars and spectrum congestion put a high priority on EW systems that can characterize and classify novel waveforms, discern intent, and devise and test countermeasures. Specific techniques are covered for optimizing a cognitive EW system as well as evaluating its ability to learn new information in real time. The book presents AI for electronic support (ES), including characterization, classification, patterns of life, and intent recognition.

The topics covered in this book range from modeling and programming languages and environments, via approaches for design and verification, to issues of ethics and regulation. In terms of techniques, there are results on model-based engineering, product lines, mission specification, component-based development, simulation, testing, and proof. Applications range from manufacturing to service robots, to autonomous vehicles, and even robots than evolve in the real world. A final chapter summarizes issues on ethics and regulation based on discussions from a panel of experts.

Beyond Multiple Linear Regression: Applied Generalized Linear Models and Multilevel Models in R is designed for undergraduate students who have successfully completed a multiple linear regression course, helping them develop an expanded modeling toolkit that includes non-normal responses and correlated structure. Even though there is no mathematical prerequisite, the authors still introduce fairly sophisticated topics such as likelihood theory, zero-inflated Poisson, and parametric bootstrapping in an intuitive and applied manner. The case studies and exercises feature real data and real research questions; thus, most of the data in the textbook comes from collaborative research conducted by the authors and their students, or from student projects. Every chapter features a variety of conceptual exercises, guided exercises, and open-ended exercises using real data. After working through this material, students will develop an expanded toolkit and a greater appreciation for the wider world of data and statistical modeling.

This book provides a hands-on, application-oriented guide to the entire IEEE standard 1800 SystemVerilog language. Readers will benefit from the step-by-step approach to learning the language and methodology nuances, which will enable them to design and verify complex ASIC/SoC and CPU chips. The author covers the entire spectrum of the language, including random constraints, SystemVerilog Assertions, Functional Coverage, Class, checkers, interfaces, and Data Types, among other features of the language. Written by an experienced, professional end-user of ASIC/SoC/CPU and FPGA designs, this book explains each concept with easy to understand examples, simulation logs and applications derived from real projects. Readers will be empowered to tackle the complex task of multi-million gate ASIC designs.

This book describes computer networks from the perspective of administrators, pointing out that the network is fundamentally a private network consisting of a single independent system that cannot be accessed away from its physical and logical domains. The network may be a public network, it can be all-access, or a private network that only a few individuals can access. The book introduces computer networks and data communication, which is a system composed of interconnected computers and computer peripherals (such as printers and multimedia devices). This interconnection between computers facilitates information distribution between them. Wired and wireless multimedia communications are deliberated in the book. Similarly, there are topics about the physical and logical features of a network.

This book provides use case scenarios of machine learning, artificial intelligence, and real-time domains to supplement cyber security operations and proactively predict attacks and preempt cyber incidents. The authors discuss cybersecurity incident planning, starting from a draft response plan, to assigning responsibilities, to use of external experts, to equipping organization teams to address incidents, to preparing communication strategy and cyber insurance. They also discuss classifications and methods to detect cybersecurity incidents, how to organize the incident response team, how to conduct situational awareness, how to contain and eradicate incidents, and how to cleanup and recover. The book shares real-world experiences and knowledge from authors from academia and industry.