Carnegie Learning Algebra II PDF Download

Author:
Publisher:
ISBN: 9781609724184
Category : Algebra
Languages : en
Pages : 0

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Author: Toni Theisen
Publisher:
ISBN: 9780821959978
Category : French language
Languages : en
Pages : 592

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"This is a program that focuses on all 3 modes of communication (interpersonal, persentational, interpretive) and was designed with the Common Core State Standards (CCSS) in mind."--Amazon/Publisher.

Author: Randy Pausch
Publisher:
ISBN: 9780340978504
Category : Cancer
Languages : en
Pages : 0

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The author, a computer science professor diagnosed with terminal cancer, explores his life, the lessons that he has learned, how he has worked to achieve his childhood dreams, and the effect of his diagnosis on him and his family.

Author: Anthony S. Bryk
Publisher: Harvard Education Press
ISBN: 161250793X
Category : Education
Languages : en
Pages : 309

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As a field, education has largely failed to learn from experience. Time after time, promising education reforms fall short of their goals and are abandoned as other promising ideas take their place. In Learning to Improve, the authors argue for a new approach. Rather than “implementing fast and learning slow,” they believe educators should adopt a more rigorous approach to improvement that allows the field to “learn fast to implement well.” Using ideas borrowed from improvement science, the authors show how a process of disciplined inquiry can be combined with the use of networks to identify, adapt, and successfully scale up promising interventions in education. Organized around six core principles, the book shows how “networked improvement communities” can bring together researchers and practitioners to accelerate learning in key areas of education. Examples include efforts to address the high rates of failure among students in community college remedial math courses and strategies for improving feedback to novice teachers. Learning to Improve offers a new paradigm for research and development in education that promises to be a powerful driver of improvement for the nation’s schools and colleges.

Author: Susan A. Ambrose
Publisher: John Wiley & Sons
ISBN: 0470617608
Category : Education
Languages : en
Pages : 336

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Praise for How Learning Works "How Learning Works is the perfect title for this excellent book. Drawing upon new research in psychology, education, and cognitive science, the authors have demystified a complex topic into clear explanations of seven powerful learning principles. Full of great ideas and practical suggestions, all based on solid research evidence, this book is essential reading for instructors at all levels who wish to improve their students' learning." —Barbara Gross Davis, assistant vice chancellor for educational development, University of California, Berkeley, and author, Tools for Teaching "This book is a must-read for every instructor, new or experienced. Although I have been teaching for almost thirty years, as I read this book I found myself resonating with many of its ideas, and I discovered new ways of thinking about teaching." —Eugenia T. Paulus, professor of chemistry, North Hennepin Community College, and 2008 U.S. Community Colleges Professor of the Year from The Carnegie Foundation for the Advancement of Teaching and the Council for Advancement and Support of Education "Thank you Carnegie Mellon for making accessible what has previously been inaccessible to those of us who are not learning scientists. Your focus on the essence of learning combined with concrete examples of the daily challenges of teaching and clear tactical strategies for faculty to consider is a welcome work. I will recommend this book to all my colleagues." —Catherine M. Casserly, senior partner, The Carnegie Foundation for the Advancement of Teaching "As you read about each of the seven basic learning principles in this book, you will find advice that is grounded in learning theory, based on research evidence, relevant to college teaching, and easy to understand. The authors have extensive knowledge and experience in applying the science of learning to college teaching, and they graciously share it with you in this organized and readable book." —From the Foreword by Richard E. Mayer, professor of psychology, University of California, Santa Barbara; coauthor, e-Learning and the Science of Instruction; and author, Multimedia Learning

Author: PRICE ET AL
Publisher: McGraw-Hill Education
ISBN: 9780021454259
Category : Mathematics
Languages : en
Pages : 464

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The Glencoe Math Student Edition is an interactive text that engages students and assist with learning and organization. It personalizes the learning experience for every student. The write-in text, 3-hole punched, perfed pages allow students to organize while they are learning.

Author: Halsey Royden
Publisher: Pearson Modern Classics for Advanced Mathematics Series
ISBN: 9780134689494
Category : Functional analysis
Languages : en
Pages : 0

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This text is designed for graduate-level courses in real analysis. Real Analysis, 4th Edition, covers the basic material that every graduate student should know in the classical theory of functions of a real variable, measure and integration theory, and some of the more important and elementary topics in general topology and normed linear space theory. This text assumes a general background in undergraduate mathematics and familiarity with the material covered in an undergraduate course on the fundamental concepts of analysis.

Author: William S. Hadley
Publisher:
ISBN: 9781934800003
Category : Algebra
Languages : en
Pages : 0

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Author: Eric Lehman
Publisher:
ISBN: 9789888407064
Category : Business & Economics
Languages : en
Pages : 988

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This book covers elementary discrete mathematics for computer science and engineering. It emphasizes mathematical definitions and proofs as well as applicable methods. Topics include formal logic notation, proof methods; induction, well-ordering; sets, relations; elementary graph theory; integer congruences; asymptotic notation and growth of functions; permutations and combinations, counting principles; discrete probability. Further selected topics may also be covered, such as recursive definition and structural induction; state machines and invariants; recurrences; generating functions.

Author:
Publisher: McDougal Littel
ISBN: 9780618195695
Category : Juvenile Nonfiction
Languages : es
Pages : 202

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