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Learning by Building

Author: William J. Carpenter

Publisher: John Wiley & Sons

Published: 1997-04-03

Total Pages: 196

ISBN-13: 9780471287933

Learning by Building challenges today’s architects and students to experience the energy and creativity of construction. Based on the example of famous architects such as Frank Lloyd Wright and Le Corbusier, who considered construction an integral part of the design process, "design-build" is standard practice in growing numbers of today’s architecture firms. Architect and professor William J. Carpenter explores ways to integrate construction into architectural education, bridging the gap between theory and practice—between designing and building. Mr. Carpenter traces the history of construction in architectural education, from medieval times, to Jefferson’s Monticello, to the German Bauhaus. He cites twentieth-century artists such as Richard Serra and Donald Judd, whose work is generated by the process of making; like the artist, "the architect should be immersed in the potential of construction." Ten in-depth case studies of schools that have incorporated design-build into their curriculum illustrate how construction studios help future architects learn real-life pragmatics and collaboration. Through text and photographs, Mr. Carpenter recounts the diverse experiences of high-profile schools such as Cranbrook and Yale University, providing models for other schools that wish to include design-build in their curriculums. Mr. Carpenter also gives a helpful outline of the practical details involved in design-build, such as team issues, legal issues, and built applications of the process. Learning by Building is a wake-up call to architects and students alike to immerse themselves in the process of architecture—to rediscover, or witness for the first time, the excitement of building.

Building Machine Learning Powered Applications

Author: Emmanuel Ameisen

Publisher: "O'Reilly Media, Inc."

Published: 2020-01-21

Total Pages: 267

ISBN-13: 1492045063

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Learn the skills necessary to design, build, and deploy applications powered by machine learning (ML). Through the course of this hands-on book, you’ll build an example ML-driven application from initial idea to deployed product. Data scientists, software engineers, and product managers—including experienced practitioners and novices alike—will learn the tools, best practices, and challenges involved in building a real-world ML application step by step. Author Emmanuel Ameisen, an experienced data scientist who led an AI education program, demonstrates practical ML concepts using code snippets, illustrations, screenshots, and interviews with industry leaders. Part I teaches you how to plan an ML application and measure success. Part II explains how to build a working ML model. Part III demonstrates ways to improve the model until it fulfills your original vision. Part IV covers deployment and monitoring strategies. This book will help you: Define your product goal and set up a machine learning problem Build your first end-to-end pipeline quickly and acquire an initial dataset Train and evaluate your ML models and address performance bottlenecks Deploy and monitor your models in a production environment

How Buildings Learn

Author: Stewart Brand

Publisher: Penguin

Published: 1995-10-01

Total Pages: 252

ISBN-13: 1101562641

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Buildings have often been studies whole in space, but never before have they been studied whole in time. How Buildings Learn is a masterful new synthesis that proposes that buildings adapt best when constantly refined and reshaped by their occupants, and that architects can mature from being artists of space to becoming artists of time. From the connected farmhouses of New England to I.M. Pei's Media Lab, from "satisficing" to "form follows funding," from the evolution of bungalows to the invention of Santa Fe Style, from Low Road military surplus buildings to a High Road English classic like Chatsworth—this is a far-ranging survey of unexplored essential territory. More than any other human artifacts, buildings improve with time—if they're allowed to. How Buildings Learn shows how to work with time rather than against it.

Teaching and Learning Building Design and Construction

Author: David Dowdle

Publisher: Routledge

Published: 2017-06-29

Total Pages:

ISBN-13: 9781138409132

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Innovation in building design and construction depends on innovative strategies being developed by teachers and practitioners, made available to students and then professionally adopted. Successful transfer of this knowledge relies on appropriate support for both students and academics to ensure the new knowledge is translated into a format appropriate to the learner's current state of understanding, often using a constructivist, student-centred learning approach. This special issue of the journal Architectural Engineering and Design Management examines new strategies to manage effectively a growing number of students and a changing student profile in the built environment sector. Written by international experts in the field, core themes covered include student-centred learning, practice-based learning, good practice and evaluation, and instructional systems design. Several papers are devoted to virtual learning, focusing on e-pedagogy, standardisation, bridging the gap between academia and industry, and virtual learning environments. This peer-reviewed publication will be invaluable reading for lecturers and students on architecture and civil engineering courses, professional architects and engineers, and all interested in T&L, continuing professional development and distance learning in the built environment sector.

Building Online Learning Communities

Author: Rena M. Palloff

Publisher: John Wiley & Sons

Published: 2009-12-30

Total Pages: 335

ISBN-13: 0470605464

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Building Online Learning Communities further explores the development of virtual classroom environments that foster a sense of community and empower students to take charge of their learning to successfully achieve learning outcomes. This is the second edition of the groundbreaking book by Rena Palloff and Keith Pratt and has been completely updated and expanded to include the most current information on effective online course development and delivery. A practical, hands-on guide, this resource is filled with illustrative case studies, vignettes, and examples from a wide variety of successful online courses. The authors offer proven strategies for handling challenges that include: Engaging students in the formation of an online learning community. Establishing a sense of presence online. Maximizing participation. Developing effective courses that include collaboration and reflection. Assessing student performance. Written for faculty in any distance learning environment, this revised edition is based on the authors many years of work in faculty development for online teaching as well as their extensive personal experience as faculty in online distance education. Rena M. Palloff and Keith Pratt share insights designed to guide readers through the steps of online course design and delivery.

Building and Connecting Learning Communities

Author: Steven Katz

Publisher: Corwin Press

Published: 2009-09-01

Total Pages: 137

ISBN-13: 145221235X

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Networked learning communities: A powerful school improvement strategy for school leaders! Drawing on their work with schools in North America and England, the authors demonstrate how linking professional learning communities across school or district boundaries creates networked learning communities (NLCs) that can share professional knowledge. Through a sample school narrative, the book illustrates how NLCs can significantly improve instruction, increase student performance, and promote deep and sustained change. This resource examines: Collaborative inquiry as a process that challenges teachers’ thinking, generates new learning, and fosters trusting relationships Formal and informal leadership roles in NLCs How NLCs support systematic data analysis and accountability

Building Teaching and Learning Communities

Author: Craig Gibson

Publisher:

Published: 2019

Total Pages: 114

ISBN-13: 9780838946572

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"Teaching and learning communities are communities of practice in which a group of faculty and staff from across disciplines regularly meet to discuss topics of common interest and to learn together how to enhance teaching and learning. Since these teaching and learning communities can bring together members who might not have otherwise interacted, new ideas, practices, and synergies can arise. The role of librarians in teaching and learning has been reexamined and reinvigorated by the introduction of the ACRL Framework for Information Literacy for Higher Education, which offers a conceptual approach and theoretical foundations that are new and challenging. Building Teaching and Learning Communities: Creating Shared Meaning and Purpose goes beyond the library profession for inspiration and insights from leading experts in higher education pedagogy and educational development across North America to open a window on the wider world of teaching and learning, and includes discussion of pedagogical theories and practices including threshold concepts and stuck places; the Scholarship of Teaching and Learning (SoTL); disciplinary approaches to pedagogy; the role of signature pedagogies; inclusion of student voices; metaliteracy; reflective practice; affective, behavioral, and cognitive aspects of learning; liminal spaces; and faculty as learners. This unique collection asks each of the authors to address this question: What do we as educators need to learn (or unlearn) and experience so we can create teaching and learning communities across disciplines and learning levels based on shared meaning and purpose? Six fascinating chapters explore this question in different ways ... Building Teaching and Learning Communities is an entry into some of the most interesting conversations in higher education and offers ways for librarians to socialize in learning theory and begin 'thinking together' with faculty. It proposes questions, challenges assumptions, provides examples to be used and adapted, and can help you better prepare as teachers and pursue the essential role of conversation and collaboration with faculty and students."--

Building School-Based Teacher Learning Communities

Author: Milbrey W. McLaughlin

Publisher: Teachers College Press

Published: 2006

Total Pages: 162

ISBN-13: 0807774995

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Building on extensive evidence that school-based teacher learning communities improve student outcomes, this book lays out an agenda to develop and sustain collaborative professional cultures. McLaughlin and Talbert—foremost scholars of school change and teaching contexts—provide an inside look at the processes, resources, and system strategies that are necessary to build vibrant school-based teacher learning communities. Offering a compelling, straightforward blueprint for action, this book: Takes a comprehensive look at the problem of improving the quality of teaching across the United States, based on evidence and examples from the authors’ nearly two decades of research.Demonstrates how and why school-based teacher learning communities are bottom-line requirements for improved instruction. Outlines the resources and supports needed to build and sustain a long-term school-based teacher professional community. Discusses the nature of high-quality professional development to support learning and changes in teaching.Details the roles and responsibilities of policymakers at all levels of the school system. “This book offers vivid examples of how teacher learning communities are formed and sustained. A must-read for educators at all levels who are serious about enacting change.” —Amy M. Hightower, Assistant Director, American Federation of Teachers

Building Shared Responsibility for Student Learning

Author: Anne Conzemius

Publisher: ASCD

Published: 2001

Total Pages: 160

ISBN-13: 0871205971

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Who is responsible for student learning? Walk into an effective school and ask this question of anyone--a teacher, a student, the principal, a parent volunteer, a secretary--and you'll get the same answer: "I am."Shared responsibility is something school communities build from within. It's what happens when all school people accept that what they do makes a difference in how all students learn . . . when they have the knowledge they need to make informed decisions about the best way to promote learning . . . and when they have the skills and opportunities to translate their ideas into effective action.Anne Conzemius and Jan O'Neill present a practical framework for building shared responsibility within schools and school systems. They identify three critical components:* Focus--The common vision, mission, values, and expectations that provide clarity and lead to new levels of performance.* Reflection--The commitment to test assumptions, learn from data, and adjust practices accordingly. * Collaboration--The process of developing relationships where all work toward the same objectives and rely on each other to achieve their goals.Building shared responsibility for student learning is an ongoing activity--a journey and not a destination. This research-based resource provides a map in the form of effective structures, systems, processes, and policies. It explains how to set powerful goals and shares inspiring stories of educators who have embarked on this journey toward higher professional competency, increased staff satisfaction, rising test scores, and improved student results.

Building Machine Learning Systems with Python

Author: Willi Richert

Publisher: Packt Publishing Ltd

Published: 2013-01-01

Total Pages: 431

ISBN-13: 1782161414

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This is a tutorial-driven and practical, but well-grounded book showcasing good Machine Learning practices. There will be an emphasis on using existing technologies instead of showing how to write your own implementations of algorithms. This book is a scenario-based, example-driven tutorial. By the end of the book you will have learnt critical aspects of Machine Learning Python projects and experienced the power of ML-based systems by actually working on them.This book primarily targets Python developers who want to learn about and build Machine Learning into their projects, or who want to pro.