Ranking task exercises in physics (student edition). PDF Download
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Author: Thomas L. O'Kuma
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
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Book Description
Author: Thomas L. O'Kuma
Publisher: Pearson
ISBN: 9780131448513
Category : Physics
Languages : en
Pages : 0
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Book Description
A supplement for courses in Algebra-Based Physics and Calculus-Based Physics. Ranking Task Exercises in Physics are an innovative type of conceptual exercise that asks students to make comparative judgments about variations on a particular physicals situation. It includes 200 exercises covering classical physics and optics.
Author: Thomas L. O'Kuma
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
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Book Description
Author: C. Hieggelke
Publisher: Pearson
ISBN: 9780321753755
Category : Physics
Languages : en
Pages : 0
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Book Description
Resource added for the Physics ?10-806-150? courses.
Author: C. J. Hieggelke
Publisher: Addison-Wesley
ISBN: 9780132854580
Category : Science
Languages : en
Pages : 427
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Book Description
TIPERs: Sensemaking Tasks for Introductory Physics gives introductory physics students the type of practice they need to promote a conceptual understanding of problem solving. This supplementary text helps students to connect the physical rules of the universe with the mathematical tools used to express them. The exercises in this workbook are intended to promote sensemaking. The various formats of the questions are difficult to solve just by using physics equations as formulas. Students will need to develop a solid qualitative understanding of the concepts, principles, and relationships in physics. In addition, they will have to decide what is relevant and what isn't, which equations apply and which don't, and what the equations tell one about physical situations. The goal is that when students are given a physics problem where they are asked solve for an unknown quantity, they will understand the physics of the problem in addition to finding the answer.
Author: Wolfgang Christian and Mario Belloni
Publisher: Davidson College Physics
ISBN: 0990580563
Category : Science
Languages : en
Pages : 443
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Book Description
Physlet Physics 3E: Volume I contains a collection of exercises spanning the introductory physics sequence. These exercises use computer animations generated in JavaScript applets to show physics content on desktop and laptop computers. We call these Java applets Physlets (Physics content simulated with JavaScript applets written at Davidson College). Every chapter of Physlet Physics contains three quite different Physlet-based exercises: Illustrations, Explorations, and Problems. Illustrations are designed to demonstrate physical concepts. Explorations are tutorial in nature. Problems are interactive versions of the kind of exercises typically assigned for homework. This electronic book contains the narrative to all 800 exercises and links to the interactive content. The interactive content requires a desktop, laptop, tablet or phone and a JavaScript-enabled browser to run. The first edition of Physlet Physics was an interactive book and CD for the teaching of introductory modern physics and quantum mechanics on the college level. Physlet Physics was originally published as part of Prentice Hall’s Series in Educational Innovation. The second edition of Physlet Physics represented a major change in how the 800 Physlet-based interactive materials were delivered to teachers and students alike. Instead of accessing materials off of the CD that came with the first edition, accessed the Physlet Physics 2E AAPT ComPADRE site via a Java-enabled browser on desktop and laptop computers. For the third edition of Physlet Physics, all applets are now JavaScript and can be accessed on any device and browser via links in this book or directly at http://compadre.org/physlets/. The JavaScript-based materials described in this book run on tablets and phones, as well as desktop and laptop computers.
Author: Wolfgang Christian and Mario Belloni
Publisher: Davidson College Physics
ISBN: 0990580571
Category : Science
Languages : en
Pages : 324
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Book Description
Physlet Physics 3E: Volume II contains a collection of exercises spanning the introductory physics sequence. These exercises use computer animations generated in JavaScript applets to show physics content on desktop and laptop computers. We call these Java applets Physlets (Physics content simulated with JavaScript applets written at Davidson College). Every chapter of Physlet Physics contains three quite different Physlet-based exercises: Illustrations, Explorations, and Problems. Illustrations are designed to demonstrate physical concepts. Explorations are tutorial in nature. Problems are interactive versions of the kind of exercises typically assigned for homework. This electronic book contains the narrative to all 800 exercises and links to the interactive content. The interactive content requires a desktop, laptop, tablet or phone and a JavaScript-enabled browser to run. The first edition of Physlet Physics was an interactive book and CD for the teaching of introductory modern physics and quantum mechanics on the college level. Physlet Physics was originally published as part of Prentice Hall’s Series in Educational Innovation. The second edition of Physlet Physics represented a major change in how the 800 Physlet-based interactive materials were delivered to teachers and students alike. Instead of accessing materials off of the CD that came with the first edition, accessed the Physlet Physics 2E AAPT ComPADRE site via a Java-enabled browser on desktop and laptop computers. For the third edition of Physlet Physics, all applets are now JavaScript and can be accessed on any device and browser via links in this book or directly at http://compadre.org/physlets/. The JavaScript-based materials described in this book run on tablets and phones, as well as desktop and laptop computers.
Author: Avrim Blum
Publisher: Cambridge University Press
ISBN: 1108617360
Category : Computers
Languages : en
Pages : 433
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Book Description
This book provides an introduction to the mathematical and algorithmic foundations of data science, including machine learning, high-dimensional geometry, and analysis of large networks. Topics include the counterintuitive nature of data in high dimensions, important linear algebraic techniques such as singular value decomposition, the theory of random walks and Markov chains, the fundamentals of and important algorithms for machine learning, algorithms and analysis for clustering, probabilistic models for large networks, representation learning including topic modelling and non-negative matrix factorization, wavelets and compressed sensing. Important probabilistic techniques are developed including the law of large numbers, tail inequalities, analysis of random projections, generalization guarantees in machine learning, and moment methods for analysis of phase transitions in large random graphs. Additionally, important structural and complexity measures are discussed such as matrix norms and VC-dimension. This book is suitable for both undergraduate and graduate courses in the design and analysis of algorithms for data.
Author: Randall Dewey Knight
Publisher: Pearson
ISBN:
Category : Business & Economics
Languages : en
Pages : 410
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Book Description
This widely admired standalone guide is packed with creative tips on how to enhance and expand your physics class instruction techniques. It's an invaluable companion for novice and veteran professors teaching any physics course.
Author: Marc Peter Deisenroth
Publisher: Cambridge University Press
ISBN: 1108569323
Category : Computers
Languages : en
Pages : 392
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Book Description
The fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions, vector calculus, optimization, probability and statistics. These topics are traditionally taught in disparate courses, making it hard for data science or computer science students, or professionals, to efficiently learn the mathematics. This self-contained textbook bridges the gap between mathematical and machine learning texts, introducing the mathematical concepts with a minimum of prerequisites. It uses these concepts to derive four central machine learning methods: linear regression, principal component analysis, Gaussian mixture models and support vector machines. For students and others with a mathematical background, these derivations provide a starting point to machine learning texts. For those learning the mathematics for the first time, the methods help build intuition and practical experience with applying mathematical concepts. Every chapter includes worked examples and exercises to test understanding. Programming tutorials are offered on the book's web site.
Author: Page Keeley
Publisher: Corwin Press
ISBN: 1506336647
Category : Education
Languages : en
Pages : 165
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Book Description
Everything you need to promote mathematical thinking and learning! Good math teachers have a robust repertoire of strategies to move students’ learning forward. This new volume from award-winning author Page Keeley and mathematics expert Cheryl Rose Tobey helps you improve student outcomes with 50 all-new formative assessment classroom techniques (FACTS) that are embedded throughout a cycle of instruction. Descriptions of how the FACTs promote learning and inform teaching, including illustrative examples, support the inextricable link between instruction and learning. Useful across disciplines, Keeley and Tobey’s purposeful assessment techniques help K-12 math teachers: Promote conceptual understanding Link techniques to core ideas and practices Modify instruction for diverse learners Seamlessly embed formative assessment throughout the stages of instruction Focus on learning targets and feedback Instead of a one-size fits all approach, you can build a bridge between your students’ initial ideas and correct mathematical thinking with this one-of-a-kind resource!
