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Evaluation in Distance Education and E-Learning
by Valerie Ruhe Bruno ZumboWith the rapid proliferation of distance education and e-learning courses, the need is growing for a comprehensive, professional approach to evaluating their effectiveness. This indispensable book offers a road map to guide evaluation practice in these innovative learning environments. Providing practical, step-by-step guidelines and tools for conducting evaluation studies including how to deal with stakeholders, develop surveys and interview protocols, collect other scientific evidence, and analyze and blend mixed-methods data the work also features a template for writing high-quality reports. The "unfolding model" developed by the authors draws on Messick's influential assessment framework and applies it to program evaluation. Two case studies of actual programs (a distance learning course and an e-learning course) demonstrate the unfolding model in action.
Evaluation of the Achievement Levels for Mathematics and Reading on the National Assessment of Educational Progress
by Engineering Medicine National Academies of SciencesSince 1969, the National Assessment of Educational Progress (NAEP) has been providing policymakers, educators, and the public with reports on academic performance and progress of the nation’s students. The assessment is given periodically in a variety of subjects: mathematics, reading, writing, science, the arts, civics, economics, geography, U.S. history, and technology and engineering literacy. NAEP is given to representative samples of students across the U.S. to assess the educational progress of the nation as a whole. Since 1992, NAEP results have been reported in relation to three achievement levels: basic, proficient, and advanced. However, the use of achievement levels has provoked controversy and disagreement, and evaluators have identified numerous concerns. This publication evaluates the NAEP student achievement levels in reading and mathematics in grades 4, 8, and 12 to determine whether the achievement levels are reasonable, reliable, valid, and informative to the public, and recommends ways that the setting and use of achievement levels can be improved.
Evaluierte Lernumgebungen zum Modellieren (Realitätsbezüge Im Mathematikunterricht Ser.)
by Werner Blum Stanislaw SchukajlowDas Buch stellt empirisch gesicherte Erkenntnisse über Lernumgebungen im Bereich Modellieren vor. Dabei wird den Bestrebungen nach mehr Wissenschaftlichkeit einerseits und einer hinreichend ausführlichen Beschreibung der untersuchten Lernumgebungen andererseits Rechnung getragen. Die vorgestellten Ansätze zur Förderung der Modellierungskompetenz sind in die aktuelle Modellierungsdiskussion eingebunden und wurden mit qualitativen oder quantitativen Methoden evaluiert. Der Hauptfokus wird in diesem Band aber auf die Lernumgebungen und zugehörige Unterrichtsmaterialien gelegt. Die Lernumgebungen wurden alle in der Praxis erprobt und stellen in diesem Sinne „Best-Practice“-Beispiele dar, die Anregungen und Ermutigungen für praktizierende und künftige Lehrer und Hochschullehrer geben sollen.
Evangelista Torricelli: Mathematiker des Großherzogs Ferdinand II. der Toskana (Mathematik im Kontext)
by Renato AcamporaDie meisten Nichtmathematiker werden Torricelli durch das nach ihm benannte Ausflussgesetz kennen, wonach die Geschwindigkeit eines aus einem Gefäss austretenden Wasserstrahls proportional zur Quadratwurzel aus der Füllhöhe ist, ebenso wie durch seinen Nachweis des Luftdrucks mithilfe seines Vakuumexperiments. Viel bedeutender aber sind seine Leistungen auf dem Gebiet der Mathematik als virtuoser Vertreter von Cavalieris umstrittener Indivisiblenmethode, wobei er seine Ergebnisse aber stets mit Beweisen nach der allgemein anerkannten „Art der Alten“ absicherte. Auf diese Weise gelang ihm die Quadratur der Parabeln und Hyperbeln höherer Ordnung, der Zykloide, der logarithmischen Spirale (ebenso wie deren Rektifikation) und die Bestimmung der Schwerpunkte zahlreicher ebener und räumlicher Figuren.
Even Convexity and Optimization: Handling Strict Inequalities (EURO Advanced Tutorials on Operational Research)
by Miguel A. Goberna Margarita M.L. Rodríguez María D. Fajardo José Vicente-PérezThis tutorial is the first comprehensive introduction to (possibly infinite) linear systems containing strict inequalities and evenly convex sets. The book introduces their application to convex optimization. Particular attention is paid to evenly convex polyhedra and finite linear systems containing strict inequalities. The book also analyzes evenly convex and quasiconvex functions from a conjugacy and duality perspective. It discusses the applications of these functions in economics. Written in an expository style the main concepts and basic results are illustrated with suitable examples and figures..
Event Analytics across Languages and Communities
by Ivana Marenzi Simon Gottschalk Jane Winters Eric Müller-Budack Marko TadićThis open access book presents interdisciplinary and cross-sectoral research results fostering event analytics across languages and communities. It is based on the CLEOPATRA International Training Network, which explored how we analyze and understand the major events that influence and shape our lives and societies, and how they unfold online. This analysis was achieved through various case studies, the development of novel methodologies in fields such as data mining and natural language processing, and the creation of new event-centric datasets aggregated in the Open Event Knowledge Graph (OEKG), a multilingual event-centric knowledge graph that contains more than 1 million events in 15 languages. The book is divided into three parts, focusing on different aspects of event analytics across languages and communities: Part I Event-centric Multilingual and Multimodal NLP Technologies presents five chapters reporting on recent developments in NLP technologies required to process multilingual information. Next, the four chapters of Part II: Event-centric Multilingual Knowledge Technologies discuss technologies integrating multilingual event-centric information in knowledge graphs and providing user access to such information. Finally, Part III: Event Analytics covers three selected aspects of multilingual event analytics, namely an analysis of event-centric news spreading barriers, claim detection in social media, and the narrativization of events as a means of presenting event data. This book is mainly written for researchers in academia and industry, who work on topics like natural language processing, large language models, multilingual information retrieval or event analytics.
Event Attendance Prediction in Social Networks (SpringerBriefs in Statistics)
by Guohong Cao Xiaomei ZhangThis volume focuses on predicting users’ attendance at a future event at specific time and location based on their common interests. Event attendance prediction has attracted considerable attention because of its wide range of potential applications. By predicting event attendance, events that better fit users’ interests can be recommended, and personalized location-based or topic-based services related to the events can be provided to users. Moreover, it can help event organizers estimating the event scale, identifying conflicts, and help manage resources. This book first surveys existing techniques on event attendance prediction and other related topics in event-based social networks. It then introduces a context-aware data mining approach to predict the event attendance by learning how users are likely to attend future events. Specifically, three sets of context-aware attributes are identified by analyzing users’ past activities, including semantic, temporal, and spatial attributes. This book illustrates how these attributes can be applied for event attendance prediction by incorporating them into supervised learning models, and demonstrates their effectiveness through a real-world dataset collected from event-based social networks.
Event Classification in Liquid Scintillator Using PMT Hit Patterns: for Neutrinoless Double Beta Decay Searches (Springer Theses)
by Jack DungerThe search for neutrinoless double beta decay is one of the highest priority areas in particle physics today; it could provide insights to the nature of neutrino masses (currently not explained by the Standard Model) as well as how the universe survived its early stages. One promising experimental approach involves the use of large volumes of isotope-loaded liquid scintillator, but new techniques for background identification and suppression must be developed in order to reach the required sensitivity levels and clearly distinguish the signal. The results from this thesis constitute a significant advance in this area, laying the groundwork for several highly effective and novel approaches based on a detailed evaluation of state-of-the-art detector characteristics. This well written thesis includes a particularly clear and comprehensive description of the theoretical motivations as well as impressively demonstrating the effective use of diverse statistical techniques. The professionally constructed signal extraction framework contains clever algorithmic solutions to efficient error propagation in multi-dimensional space. In general, the techniques developed in this work will have a notable impact on the field.
Event Detection in Time Series (Synthesis Lectures on Data Management)
by Esther Pacitti Eduardo Ogasawara Rebecca Salles Fabio PortoThis book is dedicated to exploring and explaining time series event detection in databases. The focus is on events, which are pervasive in time series applications where significant changes in behavior are observed at specific points or time intervals. Event detection is a basic function in surveillance and monitoring systems and has been extensively explored over the years, but this book provides a unified overview of the major types of time series events with which researchers should be familiar: anomalies, change points, and motifs. The book starts with basic concepts of time series and presents a general taxonomy for event detection. This taxonomy includes (i) granularity of events (punctual, contextual, and collective), (ii) general strategies (regression, classification, clustering, model-based), (iii) methods (theory-driven, data-driven), (iv) machine learning processing (supervised, semi-supervised, unsupervised), and (v) data management (ETL process). This taxonomy is weaved throughout chapters dedicated to the specific event types: anomaly detection, change-point, and motif discovery. The book discusses state-of-the-art metric evaluations for event detection methods and also provides a dedicated chapter on online event detection, including the challenges and general approaches (static versus dynamic), including incremental and adaptive learning. This book will be of interested to graduate or undergraduate students of different fields with a basic introduction to data science or data analytics.
Event History Analysis With Stata: 2nd Edition
by Thorsten Schneider Hans-Peter Blossfeld Gotz RohwerNowadays, event history analysis can draw on a well-established set of statistical tools for the description and causal analysis of event history data. The second edition of Event History Analysis with Stata provides an updated introduction to event history modeling, along with many instructive Stata examples. Using the latest Stata software, each of these practical examples develops a research question, refers to useful substantive background information, gives a short exposition of the underlying statistical concepts, describes the organization of the input data and the application of the statistical Stata procedures, and assists the reader in performing a substantive interpretation of the obtained results. Emphasising the strengths and limitations of event history model techniques in each field of application, this book demonstrates that event history models provide a useful approach with which to uncover causal relationships or to map out a system of causal relations. It demonstrates how long-term processes can be studied and how changing context information on the micro, meso, and macro levels can be integrated easily into a dynamic analysis of longitudinal data. Event History Analysis with Stata is an invaluable resource for both novice students and researchers who need an introductory textbook and experienced researchers (from sociology, economics, political science, pedagogy, psychology, or demography) who are looking for a practical handbook for their research.
Event History Analysis with R (Chapman & Hall/CRC The R Series)
by Göran BroströmWith an emphasis on social science applications, Event History Analysis with R presents an introduction to survival and event history analysis using real-life examples. Keeping mathematical details to a minimum, the book covers key topics, including both discrete and continuous time data, parametric proportional hazards, and accelerated failure times. Features Introduces parametric proportional hazards models with baseline distributions like the Weibull, Gompertz, Lognormal, and Piecewise constant hazard distributions, in addition to traditional Cox regression Presents mathematical details as well as technical material in an appendix Includes real examples with applications in demography, econometrics, and epidemiology Provides a dedicated R package, eha, containing special treatments, including making cuts in the Lexis diagram, creating communal covariates, and creating period statistics A much-needed primer, Event History Analysis with R is a didactically excellent resource for students and practitioners of applied event history and survival analysis.
Event History Analysis with R (Chapman & Hall/CRC The R Series)
by Göran BroströmWith an emphasis on social science applications, Event History Analysis with R, Second Edition, presents an introduction to survival and event history analysis using real-life examples. Since publication of the first edition, focus in the field has gradually shifted towards the analysis of large and complex datasets. This has led to new ways of tabulating and analysing tabulated data with the same precision and power as that of an analysis of the full data set. Tabulation also makes it possible to share sensitive data with others without violating integrity. The new edition extends on the content of the first by both improving on already given methods and introducing new methods. There are two new chapters, Explanatory Variables and Regression, and Register- Based Survival Data Models. The book has been restructured to improve the flow, and there are significant updates to the computing in the supporting R package. Features • Introduction to survival and event history analysis and how to solve problems with incomplete datausing Cox regression.• Parametric proportional hazards models, including the Weibull, Exponential, Extreme Value, andGompertz distributions.• Parametric accelerated failure time models with the Lognormal, Loglogistic, Gompertz, Exponential,Extreme Value, and Weibull distributions.• Proportional hazards models for occurrence/exposure data, useful with tabular and register based data,often with a huge amount of observed events.• Special treatments of external communal covariates, selections from the Lexis diagram, and creatingperiod as well as cohort statistics.• “Weird bootstrap” sampling suitable for Cox regression with small to medium-sized data sets.• Supported by an R package (https://CRAN.R-project.org/package=eha), including code and data formost examples in the book.• A dedicated home page for the book at http://ehar.se/r/ehar2 This substantial update to this popular book remains an excellent resource for researchers and practitionersof applied event history analysis and survival analysis. It can be used as a text for a course for graduatestudents or for self-study.
Event Mining: Algorithms and Applications (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series #38)
by Tao LiWith a focus on computing system management, this book presents a variety of event mining approaches for improving the quality and efficiency of IT service and system management. It covers different components in the data-driven framework, from system monitoring and event generation to pattern discovery and summarization. The book explores recent developments in event mining, such as new clustering-based approaches, as well as various applications of event mining, including social media.
Event-Based State Estimation
by Tongwen Chen Dawei Shi Ling ShiThis book explores event-based estimation problems. It shows how several stochastic approaches are developed to maintain estimation performance when sensors perform their updates at slower rates only when needed. The self-contained presentation makes this book suitable for readers with no more than a basic knowledge of probability analysis, matrix algebra and linear systems. The introduction and literature review provide information, while the main content deals with estimation problems from four distinct angles in a stochastic setting, using numerous illustrative examples and comparisons. The text elucidates both theoretical developments and their applications, and is rounded out by a review of open problems. This book is a valuable resource for researchers and students who wish to expand their knowledge and work in the area of event-triggered systems. At the same time, engineers and practitioners in industrial process control will benefit from the event-triggering technique that reduces communication costs and improves energy efficiency in wireless automation applications.
Event-Driven Architecture in Golang: Building complex systems with asynchronicity and eventual consistency
by Michael StackBegin building event-driven microservices, including patterns to handle data consistency and resiliencyKey FeaturesExplore the benefits and tradeoffs of event-driven architectures with practical examples and use casesUnderstand synergy with event sourcing, CQRS, and domain-driven development in software architectureBuild an end-to-end robust application architecture by the end of the bookBook DescriptionEvent-driven architecture in Golang is an approach used to develop applications that shares state changes asynchronously, internally, and externally using messages. EDA applications are better suited at handling situations that need to scale up quickly and the chances of individual component failures are less likely to bring your system crashing down. This is why EDA is a great thing to learn and this book is designed to get you started with the help of step-by-step explanations of essential concepts, practical examples, and more. You'll begin building event-driven microservices, including patterns to handle data consistency and resiliency. Not only will you learn the patterns behind event-driven microservices but also how to communicate using asynchronous messaging with event streams. You'll then build an application made of several microservices that communicates using both choreographed and orchestrated messaging. By the end of this book, you'll be able to build and deploy your own event-driven microservices using asynchronous communication.What you will learnUnderstand different event-driven patterns and best practicesPlan and design your software architecture with easeTrack changes and updates effectively using event sourcingTest and deploy your sample software application with easeMonitor and improve the performance of your software architectureWho this book is forThis hands-on book is for intermediate-level software architects, or senior software engineers working with Golang and interested in building asynchronous microservices using event sourcing, CQRS, and DDD. Intermediate-level knowledge of the Go syntax and concurrency features is necessary.
Event-Triggered Sliding Mode Control: A New Approach To Control System Design (Studies In Systems, Decision And Control #139)
by Bijnan Bandyopadhyay Abhisek K. BeheraThis edited monograph provides a comprehensive and in-depth analysis of sliding mode control, focusing on event-triggered implementation. The technique allows to prefix the steady-state bounds of the system, and this is independent of any boundary disturbances. The idea of event-triggered SMC is developed for both single input / single output and multi-input / multi-output linear systems. Moreover, the reader learns how to apply this method to nonlinear systems. The book primarily addresses research experts in the field of sliding mode control, but the book may also be beneficial for graduate students.
Ever Smaller: Nature's Elementary Particles, From the Atom to the Neutrino and Beyond
by Antonio EreditatoIdeas, theories, experiments, and unanswered questions in particle physics, explained (with anecdotes) for the general reader.The elementary particles of matter hold the secrets of Nature together with the fundamental forces. In Ever Smaller, neutrino physicist Antonito Ereditato describes the amazing discoveries of the "particle revolution," explaining ideas, theories, experiments, and unanswered questions in particle physics in a way that is accessible (and enjoyable) for the general reader. Ereditato shows us that physics is not the exclusive territory of scientists in white lab coats exclaiming "Eureka" but that its revelations can be appreciated by any reader curious about the mysteries of the universe.
Every Bit Counts: Posit Computing (Chapman & Hall/CRC Computational Science)
by John L. GustafsonWritten by one of the foremost experts in high-performance computing and the inventor of Gustafson’s law, Every Bit Counts: Posit Computing explains the foundations of a new way for computers to calculate that saves time, storage, energy, and power by packing more information into every bit than do legacy approaches. Both the AI and HPC communities are increasingly using the posit approach that Gustafson introduced in 2017, which may be the future of technical computing.What may seem like a dry subject is made engaging by including the human and historical side of the struggle to represent numbers on machines. The book is richly illustrated in full color throughout, with every effort made to make the material as clear and accessible as possible, and even humorous.Starting with the simplest form of the idea, the chapters gradually add concepts according to stated mathematical and engineering design principles, building a robust tool kit for creating application-specific number systems. There is also a thorough explanation of the Posit™ Standard (2022), with motivations and examples that expand on that terse 12-page document.
Every Fifth Child: The Population of China (Routledge Library Editions: Demography #9)
by Leo A. OrleansOriginally published in 1972, this book illustrates why China’s population problems are complex. It discusses at an introductory level 20th Century phenomena such as the decline in China’s death rate as a result of improved public health and medicine and the possible effects of density pressure on migration, on China’s ethnic minorities and on foreign policy. It examines these issues in areas where policy and daily life cross-over: education, farming, manufacturing output in a country that faces huge challenges of urbanization, technological education and manpower.
Every Math Learner, Grades 6-12: A Doable Approach to Teaching With Learning Differences in Mind (Corwin Mathematics Series)
by Nanci N. SmithAs a secondary mathematics teacher, you know that students are different and learn differently. And yet, when students enter your classroom, you somehow must teach these unique individuals deep mathematics content using rigorous standards. The curriculum is vast and the stakes are high. Is differentiation really the answer? How can you make it work? Nationally recognized math differentiation expert Nanci Smith debunks the myths, revealing what differentiation is and isn’t. In this engaging book Smith reveals a practical approach to teaching for real learning differences. You’ll gain insights into an achievable, daily differentiation process for ALL students. Theory-lite and practice-heavy, this book shows how to maintain order and sanity while helping your students know, understand, and even enjoy doing mathematics. Classroom videos, teacher vignettes, ready-to-go lesson ideas and rich mathematics examples help you build a manageable framework of engaging, sense-making math. Busy secondary mathematics teachers, coaches, and teacher teams will learn to Provide practical structures for assessing how each of your students learns and processes mathematics concepts Design, implement, manage, and formatively assess and respond to learning in a differentiated classroom Plan specific, standards-aligned differentiated lessons, activities, and assessments Adjust current instructional materials and program resources to better meet students′ needs This book includes classroom videos, in-depth student work samples, student surveys, templates, before-and-after lesson demonstrations, examples of 5-day sequenced lessons, and a robust companion website with downloadables of all the tools in the books plus other resources for further planning. Every Math Learner, Grades 6-12 will help you know and understand your students as learners for daily differentiation that accelerates their mathematics comprehension. "This book is an excellent resource for teachers and administrators alike. It clearly explains key tenants of effective differentiation and through an interactive approach offers numerous practical examples of secondary mathematics differentiation. This book is a must read for any educator looking to reach all students." —Brad Weinhold, Ed.D., Assistant Principal, Overland High School
Every Math Learner, Grades 6-12: A Doable Approach to Teaching With Learning Differences in Mind (Corwin Mathematics Series)
by Nanci N. SmithAs a secondary mathematics teacher, you know that students are different and learn differently. And yet, when students enter your classroom, you somehow must teach these unique individuals deep mathematics content using rigorous standards. The curriculum is vast and the stakes are high. Is differentiation really the answer? How can you make it work? Nationally recognized math differentiation expert Nanci Smith debunks the myths, revealing what differentiation is and isn’t. In this engaging book Smith reveals a practical approach to teaching for real learning differences. You’ll gain insights into an achievable, daily differentiation process for ALL students. Theory-lite and practice-heavy, this book shows how to maintain order and sanity while helping your students know, understand, and even enjoy doing mathematics. Classroom videos, teacher vignettes, ready-to-go lesson ideas and rich mathematics examples help you build a manageable framework of engaging, sense-making math. Busy secondary mathematics teachers, coaches, and teacher teams will learn to Provide practical structures for assessing how each of your students learns and processes mathematics concepts Design, implement, manage, and formatively assess and respond to learning in a differentiated classroom Plan specific, standards-aligned differentiated lessons, activities, and assessments Adjust current instructional materials and program resources to better meet students′ needs This book includes classroom videos, in-depth student work samples, student surveys, templates, before-and-after lesson demonstrations, examples of 5-day sequenced lessons, and a robust companion website with downloadables of all the tools in the books plus other resources for further planning. Every Math Learner, Grades 6-12 will help you know and understand your students as learners for daily differentiation that accelerates their mathematics comprehension. "This book is an excellent resource for teachers and administrators alike. It clearly explains key tenants of effective differentiation and through an interactive approach offers numerous practical examples of secondary mathematics differentiation. This book is a must read for any educator looking to reach all students." —Brad Weinhold, Ed.D., Assistant Principal, Overland High School
Every Math Learner, Grades K-5: A Doable Approach to Teaching With Learning Differences in Mind (Corwin Mathematics Series)
by Nanci N. SmithDifferentiation that shifts your instruction and boosts ALL student learning! Nationally recognized math differentiation expert Nanci Smith debunks the myths surrounding differentiated instruction, revealing a practical approach to real learning differences. Theory-lite and practice-heavy, this book provides a concrete and manageable framework for helping all students know, understand, and even enjoy doing mathematics. Busy K-5 mathematics educators learn to Provide practical structures for assessing how students learn and process mathematical concepts Design, implement, manage, and formatively assess and respond to learning in a standards-aligned differentiated classroom; and Adjust current instructional materials to better meet students' needs Includes classroom videos and a companion website.
Every Math Learner, Grades K-5: A Doable Approach to Teaching With Learning Differences in Mind (Corwin Mathematics Series)
by Nanci N. SmithDifferentiation that shifts your instruction and boosts ALL student learning! Nationally recognized math differentiation expert Nanci Smith debunks the myths surrounding differentiated instruction, revealing a practical approach to real learning differences. Theory-lite and practice-heavy, this book provides a concrete and manageable framework for helping all students know, understand, and even enjoy doing mathematics. Busy K-5 mathematics educators learn to Provide practical structures for assessing how students learn and process mathematical concepts Design, implement, manage, and formatively assess and respond to learning in a standards-aligned differentiated classroom; and Adjust current instructional materials to better meet students' needs Includes classroom videos and a companion website.
Everydata: The Misinformation Hidden in the Little Data You Consume Every Day
by John H. Johnson Mike GluckWhile everyone is talking about "big data," the truth is that understanding the "little data" (stock reports, newspaper headlines, weather forecasts, etc.) is what will help you make smarter decisions at work, at home, and in every aspect of your life. The average person consumes approximately 30 gigabytes of data every single day, but has no idea how to interpret it correctly. Everydata explains, through the eyes of an expert economist and statistician, how to correctly interpret all of the small bytes of data we consume in a day. Readers will become effective, skeptical consumers of everyday data. * Everydata is filled with countless examples of people misinterpreting data - oftentimes with catastrophic results: * Millions of women avoid caffeine during pregnancy because they interpret correlation as causation * The initial launch of HealthCare.gov failed in part because key decision-makers couldn't observe all of the data * A baby food company was investigated by the Federal Trade Commission for cherry picking data * Attorneys faced a $1 billion jury verdict because of outlier data * The Space Shuttle Challenger exploded because the engineers were dealing with a limited sample set * Hedge fund companies claim they can make smarter predictions - but the market data says otherwise Each chapter of Everydata highlights one commonly misunderstood data concept, using both real-world and hypothetical examples from a wide range of topics, including business, politics, advertising, law, engineering, retail, parenting, and more. Readers will get the answer to the question--"Now what?"--along with concrete ways they can use this information to immediately start making smarter decisions, today and every day.
Everyday Calculus
by Oscar E. FernandezCalculus. For some of us, the word conjures up memories of ten-pound textbooks and visions of tedious abstract equations. And yet, in reality, calculus is fun, accessible, and surrounds us everywhere we go. In Everyday Calculus, Oscar Fernandez shows us how to see the math in our coffee, on the highway, and even in the night sky. Fernandez uses our everyday experiences to skillfully reveal the hidden calculus behind a typical day's events. He guides us through how math naturally emerges from simple observations--how hot coffee cools down, for example--and in discussions of over fifty familiar events and activities. Fernandez demonstrates that calculus can be used to explore practically any aspect of our lives, including the most effective number of hours to sleep and the fastest route to get to work. He also shows that calculus can be both useful--determining which seat at the theater leads to the best viewing experience, for instance--and fascinating--exploring topics such as time travel and the age of the universe. Throughout, Fernandez presents straightforward concepts, and no prior mathematical knowledge is required. For advanced math fans, the mathematical derivations are included in the appendixes. Whether you're new to mathematics or already a curious math enthusiast, Everyday Calculus invites you to spend a day discovering the calculus all around you. The book will convince even die-hard skeptics to view this area of math in a whole new way.