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Sportinformatik: Modellbildung, Simulation, Datenanalyse und Visualisierung von sportbezogenen Daten
by Daniel MemmertIn den letzten Jahren ist die Sportinformatik extrem gewachsen, vor allem weil immer mehr und neuere Daten verfügbar wurden. Sportinformatische Tools – sei es im Training zur Gegnervorbereitung, im Wettkampf oder in der Wissenschaft – sind im Sport heute auf unterschiedlichen Expertise-Ebenen unverzichtbar. Durch den Einsatz in den vier großen Anwendungsfeldern Vereine und Verbände, Wirtschaft, Wissenschaft sowie Medien ist ein völlig neuer Markt entstanden, der innerhalb der universitären Forschungs- und Lehraktivitäten zunehmend an Bedeutung gewinnt.Dieses Lehrbuch möchte der mittlerweile breiten Vielfalt der Sportinformatik gerecht werden, indem mehr als 30 Autorinnen und Autoren aus ihrem Spezialgebiet berichten und neueste Erkenntnisse prägnant zusammenfassen. Das Werk gliedert sich in vier Hauptabschnitte: Datensätze, Modellbildung, Simulation sowie Datenanalyse. Neben Hintergründen zu Programmiersprachen und zur Visualisierung wird es von der Historie und einem Ausblick eingerahmt. Studierende mit Bezug zur Sportwissenschaft erhalten einen umfassenden Einblick in die Sportinformatik, unterstützt durch ein didaktisch ausgefeiltes Konzept, das eine einfache Vermittlung der Lerninhalte ermöglicht. Zahlreiche digitale Übungsfragen untermauern den Lerneffekt und gewährleisten eine optimale Prüfungsvorbereitung. Für Fortgeschrittene bietet die vertiefende Diskussion von Zeitreihen Data Mining, künstlichen neuronalen Netzwerken, Convolution Kernel, Transfer Learning und Random Forests einen zusätzlichen Mehrwert.
Sports Analytics in Practice with R
by Ted KwartlerSports Analytics in Practice with R A practical guide for those looking to employ the latest and leading analytical software in sport In the last twenty years, sports organizations have become a data-driven business. Before this, most decisions in sports were qualitatively driven by subject-matter experts. In the years since numerous teams found success with “Money Ball” analytical perspectives, the industry has sought to advance its analytical acumen to improve on- and off-field outcomes. The increasing demand for data to inform decisions for coaches, scouts, and players before and during sporting events has led to intriguing efforts to build upon this quantitative approach. As this methodology for assessing performance has matured and grown in importance, so too has the open-source R software emerged as one of the leading analytical software packages. In fact, R is a top 10 programming language that is useful in academia and industry for statistics, machine learning, and rapid prototyping. Sports Analytics in Practice with R neatly marries these two advances to teach basic analytics for sports-related use—from cricket to baseball, from basketball to tennis, from soccer to sports gambling, and more. Sports Analytics in Practice with R readers will also find: A broad perspective of sports, focusing on a wide range of sports rather than just one The first book of its kind that features coding examples Case study approach throughout the book Companion website including data sets to work through alongside the explanations Sports Analytics in Practice with R is a helpful tool for students and professionals in the sports management field, but also for sports enthusiasts who have a coding background.
Sports Analytics: A Guide for Coaches, Managers, and Other Decision Makers
by Benjamin AlamarBenjamin C. Alamar founded the first journal dedicated to sports statistics, the Journal of Quantitative Analysis in Sports. He developed and teaches a class on sports analytics for managers at the University of San Francisco and has published numerous cutting-edge studies on strategy and player evaluation. Today, he cochairs the sports statistics section of the International Statistics Institute and consults with several professional teams and businesses in sports analytics. There isn't a better representative of this emerging field to show diverse organizations how to implement analytics into their decision-making strategies, especially as analytic tools grow increasingly complex. Alamar provides a clear, easily digestible survey of the practice and a detailed understanding of analytics' vast possibilities. He explains how to evaluate different programs and put them to use. Using concrete examples from professional sports teams and case studies demonstrating the use and value of analytics in the field, Alamar designs a roadmap for managers, general managers, and other professionals as they build their own programs and teach their approach to others.
Sports Analytics: A Guide for Coaches, Managers, and Other Decision Makers
by Benjamin AlamarData and analytics have the potential to provide sports organizations with a competitive advantage both on and off the field. Yet even as the use of analytics in sports has become commonplace, teams regularly find themselves making big investments without significant payoff.This book is a practical, nontechnical guide to incorporating sports data into decision making, giving leaders the knowledge they need to maximize their organization’s investment in analytics. Benjamin C. Alamar—a leading expert who has built high-performing analytics groups—surveys the current state of the use of data in sports, including both specifics around the tools and how to deploy them most effectively. Sports Analytics offers a clear, easily digestible overview of data management, statistical models, and information systems and a detailed understanding of their vast possibilities. It walks readers through the essentials of understanding the value of different types of data and strategies for building and managing an analytics team. Throughout, Alamar illustrates the value of analytics with real-world examples and case studies from both the sports and business sides.Sports Analytics has guided a range of sports professionals to success since its original publication in 2013. This second edition adds examples and strategies that focus on using data on the business side of a sports organization, provides concrete strategies for incorporating different types of data into decision making, and updates all discussions for the rapid technological developments of the last decade.
Sports Analytics: Data-Driven Sports and Decision Intelligence
by Dieu Hack-Polay Ali B. Mahmoud P. Mary Jeyanthi A. MansuraliIn "Sports Analytics: Data-Driven Sports and Decision Intelligence," embark on a journey through the exhilarating world of sports enhanced by the power of data-driven insights. From the nail-biting moments on the field to the strategic decisions behind the scenes, this comprehensive guide unveils the secrets that propel teams to victory and champions to greatness.It explores the cutting-edge techniques and methodologies that revolutionize the way we understand and analyze sports performance. From player evaluations to game strategies, injury prevention to fan engagement, this book equips you with the tools to gain a competitive edge in any sport. Whether you're a coach, player, analyst, or simply a passionate fan, this book will change the way you see the game. This book details how to use analytics and machine learning to highlight key performance indicators (KPIs) of sports for analysis. The authors show how to apply various statistical techniques, machine learning and data mining algorithms for on-field and off-field analysis. They go on to show how analytical algorithms are used in the sports ecosystem to derive solutions for the team and leadership, helping team managers and coaches to monitor games and player information through dashboards. The book then shows how to deploy machine learning algorithms for validating and improving teams and players performance. The book is relevant to professionals and academics working in machine learning and data analysis related to sports.
Sports Data Mining
by Hsinchun Chen Osama K. Solieman Robert P. SchumakerData mining is the process of extracting hidden patterns from data, and it's commonly used in business, bioinformatics, counter-terrorism, and, increasingly, in professional sports. First popularized in Michael Lewis' best-selling Moneyball: The Art of Winning An Unfair Game, it is has become an intrinsic part of all professional sports the world over, from baseball to cricket to soccer. While an industry has developed based on statistical analysis services for any given sport, or even for betting behavior analysis on these sports, no research-level book has considered the subject in any detail until now. Sports Data Mining brings together in one place the state of the art as it concerns an international array of sports: baseball, football, basketball, soccer, greyhound racing are all covered, and the authors (including Hsinchun Chen, one of the most esteemed and well-known experts in data mining in the world) present the latest research, developments, software available, and applications for each sport. They even examine the hidden patterns in gaming and wagering, along with the most common systems for wager analysis.
Sports Engineering and Computer Science: Proceedings of the International Conference on Sport Science and Computer Science (SSCS 2014), Singapore, 16-17 September 2014 (Advances in Sports Engineering and Technology)
by Qi LuoSports Engineering and Computer Science contains papers presented at the 2014 International Conference on Sport Science and Computer Science (SSCS 2014), held September 16-17, 2014 in Singapore and at the 2014 International Conference on Biomechanics and Sports Engineering (BSE 2014), held October 24-25, 2014, in Riga, Latvia. The contributions hav
Sports Math (Math 24/7)
by Rae SimonsThe speed of a pitch, the number of points scored, the time left on the clock . . . math is everywhere in the world of sports. Learn about the numbers and statistics behind sports like baseball, basketball, and football--and you'll find you understand the sports you love even better. In Sports Math, you'll discover that the math you learn in the classroom is just as important on the soccer field and basketball court.
Sports Research with Analytical Solution using SPSS
by J. P. VermaA step-by-step approach to problem-solving techniques using SPSS® in the fields of sports science and physical education Featuring a clear and accessible approach to the methods, processes, and statistical techniques used in sports science and physical education, Sports Research with Analytical Solution using SPSS® emphasizes how to conduct and interpret a range of statistical analysis using SPSS. The book also addresses issues faced by research scholars in these fields by providing analytical solutions to various research problems without reliance on mathematical rigor. Logically arranged to cover both fundamental and advanced concepts, the book presents standard univariate and complex multivariate statistical techniques used in sports research such as multiple regression analysis, discriminant analysis, cluster analysis, and factor analysis. The author focuses on the treatment of various parametric and nonparametric statistical tests, which are shown through the techniques and interpretations of the SPSS outputs that are generated for each analysis. Sports Research with Analytical Solution using SPSS® also features: Numerous examples and case studies to provide readers with practical applications of the analytical concepts and techniques Plentiful screen shots throughout to help demonstrate the implementation of SPSS outputs Illustrative studies with simulated realistic data to clarify the analytical techniques covered End-of-chapter short answer questions, multiple choice questions, assignments, and practice exercises to help build a better understanding of the presented concepts A companion website with associated SPSS data files and PowerPoint® presentations for each chapter Sports Research with Analytical Solution using SPSS® is an excellent textbook for upper-undergraduate, graduate, and PhD-level courses in research methods, kinesiology, sports science, medicine, nutrition, health education, and physical education. The book is also an ideal reference for researchers and professionals in the fields of sports research, sports science, physical education, and social sciences, as well as anyone interested in learning SPSS.
Spots: Counting Creatures from Sky to Sea
by Carolyn LesserFrom one leopard ray in the open ocean to ten tundra butterflies in the Arctic sky, Carolyn Lesser's playful language celebrates the rich and varied wildlife of our earth. Each of the ten creatures presented lives in a different biome.
Sprachbildung in der Lehramtsausbildung Mathematik: Konzepte für eine sprachbewusste Hochschullehre
by Florian Schacht Susanne GuckelsbergerWie lassen sich Fachdidaktik und Sprachbildung im Lehramtsstudium so verknüpfen, dass zukünftige Mathematiklehrkräfte optimal auf sprachbewussten Fachunterricht vorbereitet werden? Dieser Frage geht dieses Open Access Buch aus interdisziplinärer Perspektive nach – fachlich fundiert, forschungsorientiert und anschaulich:Die vorgestellten Leitideen und Design-Prinzipien für eine sprachbewusste Hochschullehre bilden den konzeptionellen Rahmen, der auch für die Weiterentwicklung eigener Lehrveranstaltungen genutzt werden kann.An zahlreichen empirischen Beispielen aus Schule und Hochschule werden Synergien zwischen Mathematikdidaktik und Sprachbildung aufgezeigt und Vorschläge für die konkrete Ausgestaltung der Hochschullehre gemacht.Einen besonderen Schwerpunkt bildet das Forschende Lernen in Praxisphasen an der Schnittstelle von Fach und Sprache.Impulse aus anderen Fachdidaktiken (Informatik, Chemie) eröffnen Transfermöglichkeiten.Mit seinen vielfältigen Einblicken in das hochaktuelle Thema Sprachbildung im Fachunterricht als Gegenstand einer sprachbewussten Hochschullehre ist das Buch für Hochschuldozierende und Studierende in der Lehramtsausbildung Mathematik gleichermaßen von Interesse.Das Buchbietet Konzepte für die Verknüpfung von Mathematikdidaktik und Sprachbildung in der Lehrkräfteausbildung Mathematik,ist interdisziplinär und forschungsorientiert,ist geeignet für Hochschuldozierende und Studierende.Das Buch ist unter den Bedingungen der Creative Commons Attribution 4.0 International License über SpringerLink (link.springer.com) frei zugänglich.
Sprachliche Variationen von mathematischen Textaufgaben: Entwicklung eines Instruments zur Textanpassung für Textaufgaben im Mathematikunterricht (Bielefelder Schriften zur Didaktik der Mathematik #5)
by David BednorzIn diesem Open-Access-Buch wird gezeigt, dass ein Instrument zur sprachlichen adaptiven Anpassung benötigt wird, um auf die sprachlichen Lernvoraussetzungen bei Textaufgaben von Lernenden im Mathematikunterricht reagieren zu können. Auf Basis eines quantitativen Vorgehens werden die sprachlichen Variationen in mathematische Textaufgaben festgestellt und als Grundlage für sprachliche Veränderungspraktiken genutzt. Anhand der Ergebnisse dieser Arbeit werden fünf Faktoren herausgestellt, die für die Variation von Textaufgaben bedeutsam sind: der erklärende, komprimierende, beschreibende, informative und instruktive Faktor. Zur Konzeption des Instruments werden der Einfluss auf die Aufgabenschwierigkeit und die Verbindung zu fachlich-kontextuellen Merkmalen bestimmt.
Sprachsensibler Aufbau des Vektorbegriffs: Eine Entwicklungsforschungsstudie in der Sekundarstufe II
by Sarah-Sofie ArmbrustIn diesem Buch wird auf Basis bereits etablierter Design-Prinzipien ein sprachsensibles Lehr-Lern-Arrangement zum Aufbau des Vektorbegriffs entwickelt. Dieses wird im Zuge einer Entwicklungsforschungsstudie mit Lernenden der Sekundarstufe II empirisch erprobt und erforscht. Dabei steht die qualitative Analyse individueller sprachlicher und fachlicher Lernverläufe im Fokus. Die Autorin liefert vielfältige Ergebnisse, die sowohl die mathematik-didaktische Forschung als auch die Bildungspraxis bereichern: Erstens wird ein sprachsensibles Lehr-Lern-Arrangement für den Vektorbegriff vorgestellt, dessen Lernwirksamkeit hinsichtlich des Aufbaus von Grundvorstellungen durch die Ergebnisse der empirischen Erprobung nahegelegt wird. Es kann folglich von Akteur*innen aus der Bildungspraxis für die Förderung von sprachlich und fachlich schwachen Lernenden eingesetzt werden. Zweitens werden auf theoretischer Basis sprachliche und fachliche Anforderungen des Themenbereichs Vektoren identifiziert. In diesem Rahmen werden auf der Grundlage von fachlichen Analysen Grundvorstellungen für den Vektorbegriff abgeleitet, wodurch einem bestehenden Forschungsdesiderat begegnet wird.
Spreadsheet Problem Solving and Programming for Engineers and Scientists
by David E. Clough Steven C. ChapraSpreadsheet Problem Solving and Programming for Engineers and Scientists provides a comprehensive resource essential to a full understanding of modern spreadsheet skills needed for engineering and scientific computations. Beginning with the basics of spreadsheets and programming, this book builds on the authors’ decades of experience teaching spreadsheets and programming to both university students and professional engineers and scientists. Following on from this, it covers engineering economics, key numerical methods, and applied statistics. Finally, this book details the Visual Basic for Applications (VBA) programming system that accompanies Excel. With each chapter including examples and a set of exercises, this book is an ideal companion for all engineering courses and also for self-study. Based on the latest version of Excel (Microsoft Excel for Microsoft 365), it is also compatible with earlier versions of Excel dating back to Version 2013. Including numerous case studies, this book will be of interest to students and professionals working in all areas of engineering and science.
Sprechstunde Bachelorarbeit und Masterarbeit: In 10 Schritten ohne Stress und Zweifel zum Erfolg bei wissenschaftlichen Arbeiten
by Vera SpillnerDieses Buch hilft Dir, Deine Bachelor- oder Masterarbeit erfolgreich und stressfrei zu erstellen. Von der Idee zur fertigen Arbeit werden schrittweise alle Etappen des wissenschaftlichen Arbeitens aufgezeigt und gemeinsam mit Dir eingeübt, um Deine Arbeit auf den richtigen Weg zu bringen. Die Abschlussarbeit im Studium ist kein Sprint, sondern ein Marathon. Vera Spillner zeigt Dir, wie Du diese Langstrecke bewältigst, wie Du die einzelnen Etappen planst, die wissenschaftlichen Anforderungen richtig erfüllst und Dich motivierst, wenn es mal schwierig wird. Als Betreuerin von Abschlussarbeiten hat die Autorin vielfach erlebt, dass ein systematisches Vorgehen plus eine positive Einstellung der Schlüssel zum Erfolg ist. Genau diesen Schlüssel hältst Du nun mit diesem Buch in den Händen. In dieser Sprechstunde werden Fragen, Schritte und Stolperfallen des wissenschaftlichen Arbeitens systematisch aufgearbeitet: Wie finde ich ein Thema, das auf meinen Interessen abgestimmt ist? Wie entwickle ich eine machbare und relevante Forschungsfrage? Welche Methode wende ich hierfür an? Wie schreibe ich ein Exposé, wie eine Einleitung? Was muss alles in die Gliederung? Wie finde ich einen Erst- und Zweitbetreuer? Wie viel Zeit sollte ich für meine Abschlussarbeit einplanen? Wie sieht wissenschaftliches Arbeiten aus? Was muss ich während der Schreibphase alles beachten? Was muss ich bei der Abgabe alles beachten?Die Autorin bietet für all diese Fragen (und mehr) Tipps, konkrete Vorschläge, Beispiele und gelegentliche Teepausen, um ohne Stress und Zweifel durch die Abschlussarbeit zu kommen.
SpringBoard Mathematics, Course 2
by Betty Barnett Allen Dimacali John NelsonNIMAC-sourced textbook
SpringBoard Mathematics: Algebra 2
by Betty Barnett Allen Dimacali John NelsonNIMAC-sourced textbook
SpringBoard Mathematics: Course 2 (Common Core Edition)
by College BoardWith its main goal to help students achieve high academic standards to meet their own goals and have a successful future in mathematics studies in school, at work and life too, Springboard Mathematics is written with the readers in mind.
SpringBoard Mathmatics: Algebra 1
by Betty Barnett Allen Dimacali John NelsonNIMAC-sourced textbook
Springer Handbook of Bio-/Neuroinformatics
by Nikola KasabovThe Springer Handbook of Bio-/Neuro-Informatics is the first published book in one volume that explains together the basics and the state-of-the-art of two major science disciplines in their interaction and mutual relationship, namely: information sciences, bioinformatics and neuroinformatics. Bioinformatics is the area of science which is concerned with the information processes in biology and the development and applications of methods, tools and systems for storing and processing of biological information thus facilitating new knowledge discovery. Neuroinformatics is the area of science which is concerned with the information processes in biology and the development and applications of methods, tools and systems for storing and processing of biological information thus facilitating new knowledge discovery. The text contains 62 chapters organized in 12 parts, 6 of them covering topics from information science and bioinformatics, and 6 cover topics from information science and neuroinformatics. Each chapter consists of three main sections: introduction to the subject area, presentation of methods and advanced and future developments. The Springer Handbook of Bio-/Neuroinformatics can be used as both a textbook and as a reference for postgraduate study and advanced research in these areas. The target audience includes students, scientists, and practitioners from the areas of information, biological and neurosciences. With Forewords by Shun-ichi Amari of the Brain Science Institute, RIKEN, Saitama and Karlheinz Meier of the University of Heidelberg, Kirchhoff-Institute of Physics and Co-Director of the Human Brain Project.
Springer Handbook of Engineering Statistics
by Hoang PhamIn today's global and highly competitive environment, continuous improvement in the processes and products of any field of engineering is essential for survival. This book gathers together the full range of statistical techniques required by engineers from all fields. It will assist them to gain sensible statistical feedback on how their processes or products are functioning and to give them realistic predictions of how these could be improved. The handbook will be essential reading for all engineers and engineering-connected managers who are serious about keeping their methods and products at the cutting edge of quality and competitiveness.
Springer Handbook of Experimental Solid Mechanics
by William N. Sharpe Jr.As a reference book, the Springer Handbook provides a comprehensive exposition of the techniques and tools of experimental mechanics. An informative introduction to each topic is provided, which advises the reader on suitable techniques for practical applications. New topics include biological materials, MEMS and NEMS, nanoindentation, digital photomechanics, photoacoustic characterization, and atomic force microscopy in experimental solid mechanics. Written and compiled by internationally renowned experts in the field, this book is a timely, updated reference for both practitioners and researchers in science and engineering.
Springer Handbook of Geographic Information
by Wolfgang Kresse David M. DankoComputer science provides a powerful tool that was virtually unknown three generations ago. Some of the classical fields of knowledge are geodesy (surveying), cartography, and geography. Electronics have revolutionized geodetic methods. Cartography has faced the dominance of the computer that results in simplified cartographic products. All three fields make use of basic components such as the Internet and databases. The Springer Handbook of Geographic Information is organized in three parts, Basics, Geographic Information and Applications. Some parts of the basics belong to the larger field of computer science. However, the reader gets a comprehensive view on geographic information because the topics selected from computer science have a close relation to geographic information. The Springer Handbook of Geographic Information is written for scientists at universities and industry as well as advanced and PhD students.
Springer Handbook of Geographic Information (Springer Handbooks)
by Wolfgang Kresse David DankoThis handbook provides an exhaustive, one-stop reference and a state-of-the-art description of geographic information and its use. This new, substantially updated edition presents a complete and rigorous overview of the fundamentals, methods and applications of the multidisciplinary field of geographic information systems. Designed to be a useful and readable desk reference book, but also prepared in various electronic formats, this title allows fast yet comprehensive review and easy retrieval of essential reliable key information. The Springer Handbook of Geographic Information is divided into three parts. Part A, Basics and Computer Science, provides an overview on the fundamentals, including descriptions of databases and encoding of geographic information. It also covers the underlying mathematical and statistics methods and modeling. A new chapter exemplifies the emerging use and analysis of big data in a geographic context. Part B offers rigorous descriptions of gathering, processing and coding of geographic information in a standardized way to allow interoperable use in a variety of systems; from traditional methods such as geodesy and surveying to state-of-the-art remote sensing and photogrammetry; from cartography to geospatial web services. Discussions on geosemantic interoperability and security of open distributed geospatial information systems complete the comprehensive coverage. The final part describes a wide array of applications in science, industry and society at large, such as agriculture, defense, transportation, energy and utilities, health and human services. The part is enhanced by new chapters on smart cities and building information modeling, as well as a complete overview of the currently available open-source geographic information systems. Using standardized international terminology, in accordance with ISO/TC 211 and INSPIRE, this handbook facilitates collaboration between different disciplines and is a must have for practitioners and new comers in industry and academia.