"Of all the books I have covered in the Forum to date, this set is the most unique and possibly the most useful to the SIGACT community, in support both of teaching and research.... The books can be used by anyone wanting simply to gain an understanding of one of these areas, or by someone desiring to be in research in a topic, or by instructors wishing to find timely information on a subject they are teaching outside their major areas of expertise."
"This is a reference which has a place in every computer science library."
The two volumes contain thirty-seven chapters, with extensive chapter references and individual tables of contents for each chapter. There are 5,387 entry subject indexes that include notational symbols, and a list of contributors and affiliations in each volume.
An in-depth look at soft computing methods and their applications in the human sciences, such as the social and the behavioral sciences. Soft computing methods - including fuzzy systems, neural networks, evolutionary computing and probabilistic reasoning - are state-of-the-art methods in theory formation and model construction. The powerful application areas of these methods in the human sciences are demonstrated, including the replacement of statistical models by simpler numerical or linguistic soft computing models and the use of computer simulations with approximate and linguistic constituents.
"Dr. Niskanen's work opens new vistas in application of soft computing, fuzzy logic and fuzzy set theory to the human sciences. This book is likely to be viewed in retrospect as a landmark in its field"
Recent government publications such as "Benchmarks for Scientific Literacy" and "Science for All Americans" have given teachers a mandate for improving science education in America. What we know about how learners construct meaning--particularly in the natural sciences--has undergone a virtual revolution in the past 25 years. Teachers, as well as researchers, are now grappling with how to better teach science, as well as how to assess whether students are learning. Assessing Science Understanding is a companion volume to Teaching Science for Understanding and explores how to assess whether learning has taken place. The book discusses a range of promising new and practical tools for assessment, including concept maps, vee diagrams, clinical interviews, problem sets, performance-based assessments, computer-based methods, visual and observational testing, portfolios, explanatory models, and national examinations.
A complete overview of the geometry associated with computer graphics that provides everything a reader needs to understand the topic.
Includes a summary hundreds of formulae used to solve 2D and 3D geometric problems; worked examples; proofs; mathematical strategies for solving geometric problems; a glossary of terms used in geometry.
One of the most important and consistent voices in the reform of science education over the last thirty years has been that of Peter Fensham. His vision of a democratic and socially responsible science education for all has inspired change in schools and colleges throughout the world. Often moving against the tide, Fensham travelled the world to promote his radical ideology. He was appointed Australia's first Professor of Science Education, and was later made a Member of the Order of Australia in recognition of his work in this new and emerging field of study.
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