Characterizing the Learning Curve PDF Download

Author: Nile Wade Hatch
Publisher:
ISBN:
Category : Learning curve (Industrial engineering).
Languages : en
Pages : 226

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Author: Winfred B. Hirschmann
Publisher:
ISBN: 9780000641076
Category :
Languages : en
Pages : 15

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Author: Mandy Berman
Publisher: Random House
ISBN: 039958935X
Category : Fiction
Languages : en
Pages : 401

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How are young women supposed to see each other clearly when they can't even see themselves? This razor-sharp novel “perfectly captures [the] power dynamics and identity issues that . . . women are forced to face.”—Marie Claire (Best Books of the Year) Fiona and Liv are seniors at Buchanan College, a small liberal arts school in rural Pennsylvania. Fiona, who is still struggling emotionally after the death of her younger sister, is spending her final college year sleeping with abrasive men she meets in bars. Liv is happily coupled and on the fast track to marriage with an all-American frat boy. Both of their journeys, and their friendship, will be derailed by the relationships they develop with Oliver Ash, a ruggedly good-looking visiting literature professor whose first novel was published to great success when he was twenty-six. But now Oliver is in his early forties, with thinning hair and a checkered past, including talk of a relationship with an underage woman—a former student—at a previous teaching job. Meanwhile, Oliver’s wife, Simone, is pursuing an academic research project in Berlin, raising their five-year-old son, dealing with her husband’s absence, and wondering if their marriage is beyond repair. This sly, stunning, wise-beyond-its-years novel is told from the perspectives of the three women and showcases Mandy Berman’s talent for exploring the complexities of desire, friendship, identity, and power dynamics in the contemporary moment. Praise for The Learning Curve “Readers expecting a typical love triangle won’t find one. Instead, Berman delivers a thorough and incredibly timely investigation into relationship power imbalances that’s sure to start a lot of conversations.”—The Millions “Fiona and Liv are two best friends who became inseparable after Fiona experienced a family tragedy. Senior year of college, their lives are headed in different directions, and their differences are only highlighted by the sudden arrival of famed writer and controversial figure Oliver Ash. It’s not what you think—at least, not entirely. This novel, through different perspectives, explores loss, grief, sex, friendship, power dynamics, and much more.”—Betches “You win some, you learn some. The Learning Curve by Mandy Berman follows two roommates who develop relationships with a visiting professor with a questionable past. Spoiler: things get complicated.”—The Skimm

Author: Matthew S. Goldberg
Publisher: Institute for Operations Research and Management Sciences Nf
ISBN:
Category : Business & Economics
Languages : en
Pages : 200

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operations research and management science

Author: Kriengsak Panuwatwanich
Publisher: Springer Nature
ISBN: 9811519102
Category : Technology & Engineering
Languages : en
Pages : 663

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This book gathers the proceedings of the EPPM 2019 conference, and highlights innovative work by researchers and practitioners active in various industries around the globe. Recent advances in science and technology have made it possible to seamlessly connect and integrate various elements of engineering systems, and opened the door for innovations that have transformed how we live and work. While these developments have yielded enhanced efficiency and numerous improvements in our current practices, the problems caused by the increased complexity of these integrated systems can be extremely difficult. Accordingly, solving these problems involves applying cross-disciplinary expertise to address the heterogeneity of the various elements inherent in the system. These proceedings address four main themes: (I) Smart and Sustainable Construction, (II) Advances in Project Management Practices, (III) Toward Safety and Productivity Improvement, and (IV) Smart Manufacturing, Design, and Logistics. As such, they will be of interest to and valuable to researchers and practitioners in a range of industries seeking an update on the translational fields of engineering, project, and production management.

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: Richard M. Satava
Publisher: Springer Science & Business Media
ISBN: 3540396004
Category : Medical
Languages : en
Pages : 163

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This book discusses the effects of emerging technologies on surgeons and surgical practice. The book opens with an overview of disruptive technologies, and their economic, scientific, ethical and social implications. Next comes a section describing how the Internet, virtual reality and simulation technology will change training and education. A section on Robotics covers computer-guided surgery, robotics and endoluminal therapies. Innovations in surgical instruments, including MEMS and Nanotechnology are outlined, as well. Next, the book reviews tissue engineering and artificial organs, genetic engineering, stem cells, emerging transplantation technologies and the brain-machine interface. A concluding section discusses ways of adapting to future technologies.

Author: Arturo Giordano
Publisher: Springer
ISBN: 303005912X
Category : Medical
Languages : en
Pages : 550

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Book Description
This book provides comprehensive information on transcatheter aortic valve implantation (TAVI), which was introduced for the treatment of aortic valve disease less than two decades ago. It explains how TAVI has delivered satisfactory results even in high and intermediate risk patients and outlines how it continues to evolve, thus requiring awareness of state of the art approaches to indication, risk stratification, device choice, procedure, and follow-up. In addition, it reports on the complex and multidisciplinary approach needed to maximize the efficacy, safety, and appropriateness of TAVI, providing detailed clinical, interventional and surgical perspectives focusing on the development of this cardiovascular intervention. Starting with the history of TAVI, addressing the interventional anatomy of aortic valve disease, and reporting on the expert authors’ day-to-day experiences, this highly informative book offers an essential update for all cardiologists and surgeons interested in transcatheter aortic valve implantation, as well as any clinician, decision-maker and stakeholder involved in patient selection, procedural management, and follow-up.

Author: Siddharth Misra
Publisher: Gulf Professional Publishing
ISBN: 0128177373
Category : Technology & Engineering
Languages : en
Pages : 442

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Book Description
Machine Learning for Subsurface Characterization develops and applies neural networks, random forests, deep learning, unsupervised learning, Bayesian frameworks, and clustering methods for subsurface characterization. Machine learning (ML) focusses on developing computational methods/algorithms that learn to recognize patterns and quantify functional relationships by processing large data sets, also referred to as the "big data." Deep learning (DL) is a subset of machine learning that processes "big data" to construct numerous layers of abstraction to accomplish the learning task. DL methods do not require the manual step of extracting/engineering features; however, it requires us to provide large amounts of data along with high-performance computing to obtain reliable results in a timely manner. This reference helps the engineers, geophysicists, and geoscientists get familiar with data science and analytics terminology relevant to subsurface characterization and demonstrates the use of data-driven methods for outlier detection, geomechanical/electromagnetic characterization, image analysis, fluid saturation estimation, and pore-scale characterization in the subsurface. - Learn from 13 practical case studies using field, laboratory, and simulation data - Become knowledgeable with data science and analytics terminology relevant to subsurface characterization - Learn frameworks, concepts, and methods important for the engineer's and geoscientist's toolbox needed to support

Author: Léna Soler
Publisher: Springer Science & Business Media
ISBN: 9400727593
Category : Science
Languages : en
Pages : 377

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Mature sciences have been long been characterized in terms of the “successfulness”, “reliability” or “trustworthiness” of their theoretical, experimental or technical accomplishments. Today many philosophers of science talk of “robustness”, often without specifying in a precise way the meaning of this term. This lack of clarity is the cause of frequent misunderstandings, since all these notions, and that of robustness in particular, are connected to fundamental issues, which concern nothing less than the very nature of science and its specificity with respect to other human practices, the nature of rationality and of scientific progress; and science’s claim to be a truth-conducive activity. This book offers for the first time a comprehensive analysis of the problem of robustness, and in general, that of the reliability of science, based on several detailed case studies and on philosophical essays inspired by the so-called practical turn in philosophy of science.