Matteo Colombo – författare
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Scientific literacy is an essential aspect of any undergraduate education. Recipes for Science responds to this need by providing an accessible introduction to the nature of science and scientific methods appropriate for any beginning college student. The book is adaptable to a wide variety of different courses, such as introductions to scientific reasoning, methods courses in scientific disciplines, science education, and philosophy of science.
Special features of Recipes for Science include contemporary and historical case studies from many fields of physical, life, and social sciences; visual aids to clarify and illustrate ideas; text boxes to explore related topics; plenty of exercises to support student recall and application of concepts; suggestions for further readings at the end of each chapter; a glossary with helpful definitions of key terms; and a companion website with course syllabi, internet resources, PowerPoint presentations, lecture notes, additional exercises, and original short videos on key topics.
Key Updates to the Second Edition
13 short chapters of uniform length that make it easier to adapt to a college semester Case studies and examples featuring new research and important historical research across many fields of science Added discussion of timely topics, including large research collaborations, trust and distrust of science, machine learning and other technology-driven advances, diversity in science, and connections to indigenous knowledge Streamlined and simplified discussion of some topics, such as experimentation and statistical hypothesis-testing Exercises that are clearly aligned with learning goals and sorted into types: Recall, Apply, and Think Additional online exercises and a series of original videos on key topics Exercise solutions available on an instructor-only section of the website746 kr
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Scientific literacy is an essential aspect of any undergraduate education. Recipes for Science responds to this need by providing an accessible introduction to the nature of science and scientific methods appropriate for any beginning college student. The book is adaptable to a wide variety of different courses, such as introductions to scientific reasoning, methods courses in scientific disciplines, science education, and philosophy of science.
Special features of Recipes for Science include contemporary and historical case studies from many fields of physical, life, and social sciences; visual aids to clarify and illustrate ideas; text boxes to explore related topics; plenty of exercises to support student recall and application of concepts; suggestions for further readings at the end of each chapter; a glossary with helpful definitions of key terms; and a companion website with course syllabi, internet resources, PowerPoint presentations, lecture notes, additional exercises, and original short videos on key topics.
Key Updates to the Second Edition
13 short chapters of uniform length that make it easier to adapt to a college semester Case studies and examples featuring new research and important historical research across many fields of science Added discussion of timely topics, including large research collaborations, trust and distrust of science, machine learning and other technology-driven advances, diversity in science, and connections to indigenous knowledge Streamlined and simplified discussion of some topics, such as experimentation and statistical hypothesis-testing Exercises that are clearly aligned with learning goals and sorted into types: Recall, Apply, and Think Additional online exercises and a series of original videos on key topics Exercise solutions available on an instructor-only section of the website275 kr
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742 kr
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811 kr
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Computational approaches dominate contemporary cognitive science, promising a unified, scientific explanation of how the mind works. However, computational approaches raise major philosophical and scientific questions. In what sense is the mind computational? How do computational approaches explain perception, learning, and decision making? What kinds of challenges should computational approaches overcome to advance our understanding of mind, brain, and behaviour?
The Routledge Handbook of the Computational Mind is an outstanding overview and exploration of these issues and the first philosophical collection of its kind. Comprising thirty-five chapters by an international team of contributors from different disciplines, the Handbook is organised into four parts:
History and future prospects of computational approaches Types of computational approach Foundations and challenges of computational approaches Applications to specific parts of psychology.
Essential reading for students and researchers in philosophy of mind, philosophy of psychology, and philosophy of science, The Routledge Handbook of the Computational Mind will also be of interest to those studying computational models in related subjects such as psychology, neuroscience, and computer science.
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Computational approaches dominate contemporary cognitive science, promising a unified, scientific explanation of how the mind works. However, computational approaches raise major philosophical and scientific questions. In what sense is the mind computational? How do computational approaches explain perception, learning, and decision making? What kinds of challenges should computational approaches overcome to advance our understanding of mind, brain, and behaviour?
The Routledge Handbook of the Computational Mind is an outstanding overview and exploration of these issues and the first philosophical collection of its kind. Comprising thirty-five chapters by an international team of contributors from different disciplines, the Handbook is organised into four parts:
History and future prospects of computational approaches Types of computational approach Foundations and challenges of computational approaches Applications to specific parts of psychology.
Essential reading for students and researchers in philosophy of mind, philosophy of psychology, and philosophy of science, The Routledge Handbook of the Computational Mind will also be of interest to those studying computational models in related subjects such as psychology, neuroscience, and computer science.
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927 kr
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This textbook presents applicative examples of the main methods of structural analysis of statically indeterminate frame structures. It begins with a brief description of the kinematic analysis for plane frames. The Force Method, the Displacement Method and the Mixed method are applied for the solutions of statically indeterminate plane structures. The book first deals with the solution of simple reference cases where the most common structural situations, such as inclined rods, extensional and rotational springs, thermal variations, symmetry and anti-symmetry (just to mention some of them) are treated singularly. It then reports the complete solution of complex plane frames where the most common structural situations, individually analyzed in the previous chapter, are combined.
Given the diverse and wide range of examples covered, the volume represents an ideal learning resource for students of Civil and Building Engineering and Architecture, and a valuable reference guide for structural engineering professionals.
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