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This market-leading text provides a comprehensive introduction to probability and statistics for engineering students in all specialties. This proven, accurate book and its excellent examples evidence Jay Devore’s reputation as an outstanding author and leader in the academic community. Devore emphasizes concepts, models, methodology, and applications as opposed to rigorous mathematical development and derivations. Through the use of lively and realistic examples, students go beyond simply learning about statistics-they actually put the methods to use. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.
The proliferation of information and communication technology tools in recent years has led many educators to revise the way they teach and structure their learning environments. The growth of technology applications in teaching and training is not only gaining momentum, it is becoming a significant part of today's educational scene. This book presents research and case studies to explain how these technology-rich learning environments can be structured and positive results can be achieved. The authors, based on their extensive research data present the pedagogical and organizational implications of technology-rich learning environments and, more importantly, they provide practical models, ideas and exemplars for educators to actualize the full potential of technology in the future.
The goal of this book is to introduce a reader to a new philosophy of teaching and learning physics - Investigative Science Learning Environment, or ISLE (pronounced as a small island). ISLE is an example of an "intentional" approach to curriculum design and learning activities (MacMillan and Garrison 1988 A Logical Theory of Teaching: Erotetics and Intentionality). Intentionality means that the process through which the learning occurs is as crucial for learning as the final outcome or learned content. In ISLE, the process through which students learn mirrors the practice of physics.
A series of discovery-based activities focused on building confidence with physics concepts and problem solving by helping to connect new ideas with existing knowledge. The student learns to evaluate, draw, diagram, and graph physics concepts.
Today's physics textbooks have become encyclopedic, offering students dry discussions, rote formulas, and exercises with little relation to the real world. Physics: The First Science takes a different approach by offering uniquely accessible, student-friendly explanations, historical and philosophical perspectives and mathematics in easy-to-comprehend dialogue. It emphasizes the unity of physics and its place as the basis for all science. Examples and worked solutions are scattered throughout the narrative to help increase understanding. Students are tested and challenged at the end of each chapter with questions ranging from a guided-review designed to mirror the examples, to problems, reasoning skill building exercises that encourage students to analyze unfamiliar situations, and interactive simulations developed at the University of Colorado. With their experience instructing both students and teachers of physics for decades, Peter Lindenfeld and Suzanne White Brahmia have developed an algebra-based physics book with features to help readers see the physics in their lives. Students will welcome the engaging style, condensed format, and economical price.
While many scientists are familiar with fractals, fewer are familiar with scale-invariance and universality which underlie the ubiquity of their shapes. These properties may emerge from the collective behaviour of simple fundamental constituents, and are studied using statistical field theories. Initial chapters connect the particulate perspective developed in the companion volume, to the coarse grained statistical fields studied here. Based on lectures taught by Professor Kardar at MIT, this textbook demonstrates how such theories are formulated and studied. Perturbation theory, exact solutions, renormalization groups, and other tools are employed to demonstrate the emergence of scale invariance and universality, and the non-equilibrium dynamics of interfaces and directed paths in random media are discussed. Ideal for advanced graduate courses in statistical physics, it contains an integrated set of problems, with solutions to selected problems at the end of the book and a complete set available to lecturers at www.cambridge.org/9780521873413.
College Physics is the first text to use an investigative learning approach to teach introductory physics. This approach encourages you to take an active role in learning physics, to practice scientific skills such as observing, analyzing, and testing, and to build scientific habits of mind. The authors believe students learn physics best by doing physics.