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Provides an innovative hands-on introduction to techniques for specifying the behaviour of software components. It is primarily intended for use as a text book for a course in the 2nd or 3rd year of Computer Science and Computer Engineering programs, but it is also suitable for self-study. Using this book will help the reader improve programming skills and gain a sound foundation and motivation for subsequent courses in advanced algorithms and data structures, software design, formal methods, compilers, programming languages, and theory. The presentation is based on numerous examples and case studies appropriate to the level of programming expertise of the intended readership. The main topics covered are techniques for using programmer-friendly assertional notations to specify, develop, and verify small but non-trivial algorithms and data representations, and the use of state diagrams, grammars, and regular expressions to specify and develop recognizers for formal languages.
Using Software in Qualitative Research is an essential introduction to the practice and principles of Computer Assisted Qualitative Data Analysis (CAQDAS). The book will help you to choose the most appropriate package for your needs and get the most out of the software once you are using it. This book considers a wide range of tasks and processes in the data management and analysis process, and shows how software can help you at each stage. In the new edition, the authors present three case studies with different forms of data (text, video and mixed methods data) and show how each step in the analysis process for each project could be supported by software. The new edition will be accompanied by an extensive companion website with step-by-step instructions produced by the software developers themselves. Software programmes covered in second edition include the latest versions of: * NVivo * ATLAS.ti * DEDOOSE * TRANSANA * HyperResearch * QDA Miner Ann Lewins and Christina Silver are leading experts in the field of CAQDAS and have trained thousands of students and researchers in using software. Reading this book is like having Anna and Christina at your shoulder as you analyse your data!
Computer science graduates often find software engineering knowledge and skills are more in demand after they join the industry. However, given the lecture-based curriculum present in academia, it is not an easy undertaking to deliver industry-standard knowledge and skills in a software engineering classroom as such lectures hardly engage or convince students. Overcoming Challenges in Software Engineering Education: Delivering Non-Technical Knowledge and Skills combines recent advances and best practices to improve the curriculum of software engineering education. This book is an essential reference source for researchers and educators seeking to bridge the gap between industry expectations and what academia can provide in software engineering education.
Computer-Supported Collaboration with Applications to Software Development reviews the theory of collaborative groups and the factors that affect collaboration, particularly collaborative software development. The influences considered derive from diverse sources: social and cognitive psychology, media characteristics, the problem-solving behavior of groups, process management, group information processing, and organizational effects. It also surveys empirical studies of computer-supported problem solving, especially for software development. The concluding chapter describes a collaborative model for program development.
Computer-Supported Collaboration with Applications to Software Development is designed for an academic and professional market in software development, professionals and researchers in the areas of software engineering, collaborative development, management information systems, problem solving, cognitive and social psychology. This book also meets the needs of graduate-level students in computer science and information systems.
The use of microcomputers as decision aids in law practice is increasing rapidly. Nagel here shows how developments in software over the last few years are making microcomputers practically indispensable to lawyers as decision aids. This is in contrast to his earlier book on Microcomputers as Decision Aids in Law Practice. It dealt speculatively with ways in which decision-aiding software could be used by lawyers for judicial prediction, litigation strategy, allocating scarce resources, and negotiation-mediation. The book is divided into three parts covering general developments, specific lawyer skills, and application to all fields of law. The first part previews various uses of decision-aiding software by practicing lawyers, including a general discussion of the potential and actual benefits of such software. How decision-aiding software enhances specific lawyer skills comprises the second and largest part of the work. Among the topics discussed are computer-aided counseling, computer-aided mediation, legal policy evaluation and computer-aided advocacy, law prediction, and legal administration. In the third part, Nagel assesses applications of decision-aiding software to all fields of law, with an emphasis on contracts, property, torts, family law, criminal law, constitutional law, economic regulation, international law, civil procedure, and criminal procedure. In a provocative concluding chapter, he deals with the thorny issues of individual ethics and professional responsibility in the context of microcomputers. Because decision-aiding software encourages decision makers to be much more explicit about their goals than they otherwise would be, its use raises questions as to whose goals should be pursued and to what degree. This is a nuts-and-bolts guidebook that will be a valuable tool for practicing attorneys with some knowledge of microcomputers and is recommended reading for legal scholars and law students.
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