Teaching Tennis Volume 3

Teaching Tennis Volume 3
Author: Martin van Daalen
Publisher: Xlibris Corporation
Total Pages: 321
Release: 2019-12-16
Genre: Sports & Recreation
ISBN: 1796075000

Teaching Tennis Volume 3 is a comprehensive book for players, coaches, and parents about the specifics of competitive tennis. The Development of Champions is the last of the trilogy of instructional tennis books. It will enhance the understanding of methodology and progression in teaching tournament players. After the fundamentals of the game are explained in volume 1, readers are able to build on that information in the second book with specific details on how to develop advanced technical, tactical, mental, and physical skills. Volume 3 is for instructing tournament players of all levels for individual and team competition. It is beneficial for readers to examine these books in order. The books complement one another in the development, progression, and application process while improving your game.

Master Shots

Master Shots
Author: Christopher Kenworthy
Publisher: Michael Wiese Productions
Total Pages: 229
Release: 2012
Genre: Performing Arts
ISBN: 9781615930876

Enhanced by stills from famous motion pictures and computer-generated images, explains framing, composition, and camera movement for achieving a high-budget look for such actions as building tension, anticipating motion, and developing a character's fear.

The Great Mental Models, Volume 1

The Great Mental Models, Volume 1
Author: Shane Parrish
Publisher: Penguin
Total Pages: 209
Release: 2024-10-15
Genre: Business & Economics
ISBN: 0593719972

Discover the essential thinking tools you’ve been missing with The Great Mental Models series by Shane Parrish, New York Times bestselling author and the mind behind the acclaimed Farnam Street blog and “The Knowledge Project” podcast. This first book in the series is your guide to learning the crucial thinking tools nobody ever taught you. Time and time again, great thinkers such as Charlie Munger and Warren Buffett have credited their success to mental models–representations of how something works that can scale onto other fields. Mastering a small number of mental models enables you to rapidly grasp new information, identify patterns others miss, and avoid the common mistakes that hold people back. The Great Mental Models: Volume 1, General Thinking Concepts shows you how making a few tiny changes in the way you think can deliver big results. Drawing on examples from history, business, art, and science, this book details nine of the most versatile, all-purpose mental models you can use right away to improve your decision making and productivity. This book will teach you how to: Avoid blind spots when looking at problems. Find non-obvious solutions. Anticipate and achieve desired outcomes. Play to your strengths, avoid your weaknesses, … and more. The Great Mental Models series demystifies once elusive concepts and illuminates rich knowledge that traditional education overlooks. This series is the most comprehensive and accessible guide on using mental models to better understand our world, solve problems, and gain an advantage.

Education and Learning to Think

Education and Learning to Think
Author: Division of Behavioral and Social Sciences and Education
Publisher: National Academies Press
Total Pages: 73
Release: 1987-02-01
Genre: Education
ISBN: 0309037859

The economic and social challenges confronting the nation today demand that all citizens acquire and learn to use complex reasoning and thinking skills. Education and Learning to Think confronts the issues facing our schools as they take on this mission. This volume reviews previous research, highlights successful learning strategies, and makes specific recommendations about problems and directions requiring further study. Among the topics covered are the nature of thinking and learning, the possibilities of teaching general reasoning, the attempts to improve intelligence, thinking skills in academic disciplines, methods of cultivating the disposition toward higher order thinking and learning, and the integral role motivation plays in these activities.

IJER Vol 3-N4

IJER Vol 3-N4
Author: International Journal of Educational Reform
Publisher: Rowman & Littlefield
Total Pages: 134
Release: 1994-10-01
Genre: Education
ISBN: 1475815980

The mission of the International Journal of Educational Reform (IJER) is to keep readers up-to-date with worldwide developments in education reform by providing scholarly information and practical analysis from recognized international authorities. As the only peer-reviewed scholarly publication that combines authors’ voices without regard for the political affiliations perspectives, or research methodologies, IJER provides readers with a balanced view of all sides of the political and educational mainstream. To this end, IJER includes, but is not limited to, inquiry based and opinion pieces on developments in such areas as policy, administration, curriculum, instruction, law, and research. IJER should thus be of interest to professional educators with decision-making roles and policymakers at all levels turn since it provides a broad-based conversation between and among policymakers, practitioners, and academicians about reform goals, objectives, and methods for success throughout the world. Readers can call on IJER to learn from an international group of reform implementers by discovering what they can do that has actually worked. IJER can also help readers to understand the pitfalls of current reforms in order to avoid making similar mistakes. Finally, it is the mission of IJER to help readers to learn about key issues in school reform from movers and shakers who help to study and shape the power base directing educational reform in the U.S. and the world.

Algorithms for Decision Making

Algorithms for Decision Making
Author: Mykel J. Kochenderfer
Publisher: MIT Press
Total Pages: 701
Release: 2022-08-16
Genre: Computers
ISBN: 0262047012

A broad introduction to algorithms for decision making under uncertainty, introducing the underlying mathematical problem formulations and the algorithms for solving them. Automated decision-making systems or decision-support systems—used in applications that range from aircraft collision avoidance to breast cancer screening—must be designed to account for various sources of uncertainty while carefully balancing multiple objectives. This textbook provides a broad introduction to algorithms for decision making under uncertainty, covering the underlying mathematical problem formulations and the algorithms for solving them. The book first addresses the problem of reasoning about uncertainty and objectives in simple decisions at a single point in time, and then turns to sequential decision problems in stochastic environments where the outcomes of our actions are uncertain. It goes on to address model uncertainty, when we do not start with a known model and must learn how to act through interaction with the environment; state uncertainty, in which we do not know the current state of the environment due to imperfect perceptual information; and decision contexts involving multiple agents. The book focuses primarily on planning and reinforcement learning, although some of the techniques presented draw on elements of supervised learning and optimization. Algorithms are implemented in the Julia programming language. Figures, examples, and exercises convey the intuition behind the various approaches presented.