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Assessing Model-Based Reasoning using Evidence- Centered Design: A Suite of Research-Based Design Patterns (SpringerBriefs in Statistics)
by Robert J Mislevy Geneva Haertel Michelle Riconscente Daisy Wise Rutstein Cindy ZikerThis Springer Brief provides theory, practical guidance, and support tools to help designers create complex, valid assessment tasks for hard-to-measure, yet crucial, science education standards. Understanding, exploring, and interacting with the world through models characterizes science in all its branches and at all levels of education. Model-based reasoning is central to science education and thus science assessment. Current interest in developing and using models has increased with the release of the Next Generation Science Standards, which identified this as one of the eight practices of science and engineering. However, the interactive, complex, and often technology-based tasks that are needed to assess model-based reasoning in its fullest forms are difficult to develop. Building on research in assessment, science education, and learning science, this Brief describes a suite of design patterns that can help assessment designers, researchers, and teachers create tasks for assessing aspects of model-based reasoning: Model Formation, Model Use, Model Elaboration, Model Articulation, Model Evaluation, Model Revision, and Model-Based Inquiry. Each design pattern lays out considerations concerning targeted knowledge and ways of capturing and evaluating students' work. These design patterns are available at http://design-drk. padi. sri. com/padi/do/NodeAction'state=listNodes&NODE_TYPE=PARADIGM_TYPE. The ideas are illustrated with examples from existing assessments and the research literature.
Assessing Performance
by Robert Johnson James PennyA comprehensive resource for assessment practitioners, this book provides step-by-step guidance for developing, administering, scoring, and validating a range of performance tasks, including literacy and other types of proficiency assessments. The authors explore how to establish the purpose of the assessment and how to develop scoring tools, train raters, reduce rater bias, review scores and report results, and use item-level and test-level analyses to optimize reliability and validity. Clearly written and well organized, the book includes many practical examples and accessible explanations of concepts and statistical procedures. It encompasses the breadth of applications of performance assessment today, from educational testing and the credentialing of professionals to research and program evaluation. User-friendly features include Checklists of activities to complete at each stage of a performance assessment End-of-chapter questions to facilitate self-study Annotated suggestions for further reading A quick-reference glossary of terms Examples drawn from multiple educational and professional licensure contexts
Assessing Policy Effectiveness using AI and Language Models: Applications for Economic and Social Sustainability (International Series in Operations Research & Management Science #354)
by Chandrasekar VuppalapatiThis volume uses advanced machine learning techniques to analyze government communication to evaluate policy effectiveness. The book develops policy effectiveness foundation models by cohorting historical budget policies with statistical models which are built on well reputed data sources including economic events, macroeconomic trends, and ratings and commerce terms from international institutions. By signal mining policies to the economic outcome patterns, the book aims to create a rich source of successful policy insights in terms of their effectiveness in bringing development to the poor and underserved communities to ensure the spread of wealth, social wellbeing, and standard of living to the common denomination of society rather than a selected quotient. Enabling academics and practitioners across disciplines to develop applications for effective policy interventions, this volume will be of interest to a wide audience including software engineers, data scientists, social scientists, economists, and agriculture practitioners.
Assessing the Accuracy of Remotely Sensed Data: Principles and Practices, Third Edition (Mapping Science Ser.)
by Russell G. Congalton Kass GreenThe past 10 years have brought amazing changes to the technologies used to turn remotely sensed data into maps. As a result, the principles and practices necessary for assessing the accuracy of those maps have also evolved and matured. This third edition of Assessing the Accuracy of Remotely Sensed Data: Principles and Practices is thoroughly updated and includes five new chapters. Now 15 chapters long, this text is the only one of its kind to provide geospatial analysts with the requisite considerations, tools, and theory necessary to conduct successful and efficient map accuracy assessments; and map users with the knowledge to fully understand the assessment process to ensure effective use of maps. See What’s New in the Third Edition: All original chapters have been updated to include new standards, practices, and methodologies. A new chapter on planning accuracy assessments. A new chapter on assessing maps created using object-based technologies. Two case study chapters - one showcasing the assessment of maps created from traditional methods, and one on the assessment of object-based maps. Emphasis on considering and planning for positional accuracy in concert with thematic accuracy. An appendix containing the internationally recognized ASPRS Positional Accuracy Standards. A new final chapter summarizing the key concepts, considerations and lessons learned by the authors in their decades of implementing and evaluating accuracy assessments. Assessing map accuracy is complex; however, the discussions in this book, together with the many figures, tables, and case studies, clearly present the necessary concepts and considerations for conducting an assessment that is both is practical, statistically reliable, and achievable.
Assessing the Reliability of Complex Models
by Board on Mathematical Sciences And Their Applications National Research Council Committee on Mathematical Foundations of Verification, Validation, and Uncertainty Quantification Division on Engineering and Physical SciencesAdvances in computing hardware and algorithms have dramatically improved the ability to simulate complex processes computationally. Today's simulation capabilities offer the prospect of addressing questions that in the past could be addressed only by resource-intensive experimentation, if at all. Assessing the Reliability of Complex Models recognizes the ubiquity of uncertainty in computational estimates of reality and the necessity for its quantification. As computational science and engineering have matured, the process of quantifying or bounding uncertainties in a computational estimate of a physical quality of interest has evolved into a small set of interdependent tasks: verification, validation, and uncertainty of quantification (VVUQ). In recognition of the increasing importance of computational simulation and the increasing need to assess uncertainties in computational results, the National Research Council was asked to study the mathematical foundations of VVUQ and to recommend steps that will ultimately lead to improved processes. Assessing the Reliability of Complex Models discusses changes in education of professionals and dissemination of information that should enhance the ability of future VVUQ practitioners to improve and properly apply VVUQ methodologies to difficult problems, enhance the ability of VVUQ customers to understand VVUQ results and use them to make informed decisions, and enhance the ability of all VVUQ stakeholders to communicate with each other. This report is an essential resource for all decision and policy makers in the field, students, stakeholders, UQ experts, and VVUQ educators and practitioners.
Assessing Urban Transportation with Big Data Analysis (Urban Sustainability)
by Dongyuan Yang Zhengyu DuanThis book chiefly focuses on urban traffic, an area supported by massive amounts of data. The application of big data to urban traffic provides strategic and technical methods for the multi-directional and in-depth observation of complex adaptive systems, thus transforming conventional urban traffic planning and management methods. Sharing valuable insights into how big data can be applied to urban traffic, it offers a valuable asset for information technicians, traffic engineers and traffic data analysts alike.
Assessment in Mathematics Education: Large-Scale Assessment and Classroom Assessment (ICME-13 Topical Surveys)
by Denisse R. Thompson Christine Suurtamm Rae Young Kim Leonora Diaz Moreno Nathalie Sayac Stanislaw Schukajlow Edward Silver Stefan Ufer Pauline VosThis book provides an overview of current research on a variety of topics related to both large-scale and classroom assessment. First, the purposes, traditions and principles of assessment are considered, with particular attention to those common to all levels of assessment and those more connected with either classroom or large-scale assessment. Assessment design based on sound assessment principles is discussed, differentiating between large-scale and classroom assessment, but also examining how the design principles overlap. The focus then shifts to classroom assessment and provides specific examples of assessment strategies, before examining the impact of large-scale assessment on curriculum, policy, instruction, and classroom assessment. The book concludes by discussing the challenges that teachers currently face, as well as ways to support them. The book offers a common language for researchers in assessment, as well as a primer for those interested in understanding current work in the area of assessment. In summary, it provides the opportunity to discuss large-scale and classroom assessment by addressing the following main themes: . Purposes, Traditions and Principles of Assessment . Design of Assessment Tasks . Classroom Assessment in Action . Interactions of Large-Scale and Classroom Assessment . Enhancing Sound Assessment Knowledge and Practices It also suggests areas for future research in assessment in mathematics education. "
Assessment of Authentic Performance in School Mathematics
by Richard Lesh Susan J. LamonThis book is the result of a conference sponsored by the Educational Testing Service and the University of Wisconsin's National Center for Research in Mathematical Sciences Education. The purpose of the conference was to facilitate the work of a group of scholars whose interests included the assessment of higher-order understandings and processes in foundation-level (pre-high school) mathematics. Discussions focused on such issues as the purposes of assessment, guidelines for producing and scoring "real-life" assessment activities, and the meanings of such terms as "deeper and higher-order understanding," "cognitive objectives," and "authentic mathematical activities." Assessment was viewed as a critical component of complex, dynamic, and continually adapting educational systems. During the time that the chapters in this book were being written, sweeping changes in mathematics education were being initiated in response to powerful recent advances in technology, cognitive psychology, and mathematics, as well as to numerous public demands for educational reform. These changes have already resulted in significant reappraisals of what it means to understand mathematics, of the nature of mathematics teaching and learning, and of the real-life situations in which mathematics is useful. The challenge was to pursue assessment-related initiatives that are systematically valid, in the sense that they work to complement and enhance other improvements in the educational system rather than act as an impediment to badly needed curriculum reforms. To address these issues, most chapters in this book focus on clarifying and articulating the goals of assessment and instruction, and they stress the content of assessment above its mode of delivery. Computer- or portfolio-based assessments are interpreted as means to ends, not as ends in themselves. Assessment is conceived as an ongoing documentation process, seamless with instruction, whose quality hinges upon its ability to provide complete and appropriate information as needed to inform priorities in instructional decision making. This book tackles some of the most complicated issues related to assessment, and it offers fresh perspectives from leaders in the field--with the hope that the ultimate consumer in the instruction/assessment enterprise, the individual student, will reclaim his or her potential for self-directed mathematics learning.
Assessment of Power System Reliability: Methods and Applications
by Marko ČepinThe importance of power system reliability is demonstrated when our electricity supply is disrupted, whether it decreases the comfort of our free time at home or causes the shutdown of our companies and results in huge economic deficits. The objective of Assessment of Power System Reliability is to contribute to the improvement of power system reliability. It consists of six parts divided into twenty chapters. The first part introduces the important background issues that affect power system reliability. The second part presents the reliability methods that are used for analyses of technical systems and processes. The third part discusses power flow analysis methods, because the dynamic aspect of a power system is an important part of related reliability assessments. The fourth part explores various aspects of the reliability assessment of power systems and their parts. The fifth part covers optimization methods. The sixth part looks at the application of reliability and optimization methods. Assessment of Power System Reliability has been written in straightforward language that continues into the mathematical representation of the methods. Power engineers and developers will appreciate the emphasis on practical usage, while researchers and advanced students will benefit from the simple examples that can facilitate their understanding of the theory behind power system reliability and that outline the procedure for application of the presented methods.
Assessment of the Quality of Passenger Transportation by Train Using Multiple Criteria Decision Making Methods (Lecture Notes in Intelligent Transportation and Infrastructure)
by Henrikas Sivilevičius Lijana MaskeliūnaitėThis book presents a study of the rail travel process, where passengers under normal (non-emergency) conditions choose their own itinerary considering the offered timetable, travel expenses, comfort, potential risks, quality of service and other factors. Upon identifying many criteria that are critical for this kind of transport, the authors show how to use them to generate a multicriteria mathematical models to calculate the quality of the travel. The model is used to compare road, rail, and air transport alternatives against each other. The results are presented, together with the technical details to build up the model. This book is intended for students, researchers and decision makers working on the development and quality assessment of rail transport.
Assessments in der Palliativausbildung und -versorgung: Eine psychometrische Instrumententestung (Palliative Care und Forschung)
by Martin W. Schnell Christian Schulz-Quach Christine DungerDie Steuerung der Patientenbehandlung in der Palliativversorgung erfolgt durch Assessmentinstrumente. Sie erfassen den Zustand des Patienten, seine Symptome, Bedürfnisse und erleichtern die weitere Planung. Eine gelungene Verwendung derartiger Instrumente beinhaltet, dass sie gültig, sensibel und zuverlässig sind. Diesem Nachweis dient die Instrumententestung. Am Beispiel von Assessments der Palliativversorgung wird in diesem Band eine solche Testung vorgeführt, erläutert und reflektiert.
Asset and Liability Management for Banks and Insurance Companies
by Jacques Janssen William Gehin Marine Corlosquet-Habart Raimondo MancaThis book introduces ALM in the context of banks and insurance companies. Although this strategy has a core of fundamental frameworks, models may vary between banks and insurance companies because of the different risks and goals involved. The authors compare and contrast these methodologies to draw parallels between the commonalities and divergences of these two services and thereby provide a deeper understanding of ALM in general.
Asset Management and Institutional Investors: Methods and Tools for Asset Allocation, Portfolio Management and Performance Evaluation (Contributions to Finance and Accounting)
by Ignazio Basile Pierpaolo FerrariThis second edition of the book analyses the latest developments in investment management policy for institutional investors. It is divided into four parts, which have been updated to include the newest approaches and strategies in asset allocation, portfolio management and performance evaluation. The first part analyses the different types of institutional investors, i.e. institutions that professionally manage portfolios of financial and real assets on behalf of a wide range of individuals. This part goes on with an in-depth analysis of the economic, technical and regulatory characteristics of the various categories of investment funds and of other types of asset management products, which have a high rate of substitutability with investment funds and represent their natural competitors. The second part of the book identifies and investigates the stages of the investment portfolio management. Given the importance of strategic asset allocation in explaining the ex post performance of any type of investment portfolio, this part provides an in-depth analysis of asset allocation methods, illustrating the different theoretical and operational solutions available to institutional investors. The third part describes performance assessment, its breakdown and risk control, with an in-depth examination of performance evaluation techniques, returns-based style analysis approaches and performance attribution models. Finally, the fourth part deals with the subject of diversification into alternative asset classes, identifying the common characteristics and their possible role within the framework of investment management policy. This part analyses hedge funds, private equity, private debt, real estate, infrastructures, commodities and currency overlay techniques.
Asset Price Dynamics, Volatility, and Prediction
by Stephen J. TaylorThis book shows how current and recent market prices convey information about the probability distributions that govern future prices. Moving beyond purely theoretical models, Stephen Taylor applies methods supported by empirical research of equity and foreign exchange markets to show how daily and more frequent asset prices, and the prices of option contracts, can be used to construct and assess predictions about future prices, their volatility, and their probability distributions. Stephen Taylor provides a comprehensive introduction to the dynamic behavior of asset prices, relying on finance theory and statistical evidence. He uses stochastic processes to define mathematical models for price dynamics, but with less mathematics than in alternative texts. The key topics covered include random walk tests, trading rules, ARCH models, stochastic volatility models, high-frequency datasets, and the information that option prices imply about volatility and distributions. Asset Price Dynamics, Volatility, and Prediction is ideal for students of economics, finance, and mathematics who are studying financial econometrics, and will enable researchers to identify and apply appropriate models and methods. It will likewise be a valuable resource for quantitative analysts, fund managers, risk managers, and investors who seek realistic expectations about future asset prices and the risks to which they are exposed.
Asset Pricing Theory (Princeton Series in Finance)
by Costis SkiadasAsset Pricing Theory is an advanced textbook for doctoral students and researchers that offers a modern introduction to the theoretical and methodological foundations of competitive asset pricing. Costis Skiadas develops in depth the fundamentals of arbitrage pricing, mean-variance analysis, equilibrium pricing, and optimal consumption/portfolio choice in discrete settings, but with emphasis on geometric and martingale methods that facilitate an effortless transition to the more advanced continuous-time theory. Among the book's many innovations are its use of recursive utility as the benchmark representation of dynamic preferences, and an associated theory of equilibrium pricing and optimal portfolio choice that goes beyond the existing literature. Asset Pricing Theory is complete with extensive exercises at the end of every chapter and comprehensive mathematical appendixes, making this book a self-contained resource for graduate students and academic researchers, as well as mathematically sophisticated practitioners seeking a deeper understanding of concepts and methods on which practical models are built. Covers in depth the modern theoretical foundations of competitive asset pricing and consumption/portfolio choice Uses recursive utility as the benchmark preference representation in dynamic settings Sets the foundations for advanced modeling using geometric arguments and martingale methodology Features self-contained mathematical appendixes Includes extensive end-of-chapter exercises
Assistiert Altern: Die Entwicklung digitaler Technologien für und mit älteren Menschen (Altern & Gesellschaft)
by Cordula EndterDigitale Assistenztechnologien sollen ältere Menschen unterstützen, auch bei altersbedingten Einschränkungen möglichst lange selbstbestimmt leben zu können. Wie aber werden diese Technologien entwickelt? Welche Vorstellungen von Alter(n) spielen dabei eine Rolle? Wie werden ältere Menschen in die Technikentwicklung eingebunden? Und welche Ziele verfolgen Politik, Technikentwickler*innen und Gesellschaft mit der Entwicklung digitaler Asssistenztechnologien? Das Buch gibt anhand einer ethnographischen Studie Antworten auf diese Fragen und zeigt auf, welche Voraussetzungen in Forschung und Entwicklung geschaffen werden müssen, damit digitale Technologien den Bedürfnissen älterer Menschen entsprechen und sie in ihrem Alltag unterstützen.
Association Analysis Techniques and Applications in Bioinformatics
by Qingfeng ChenAdvances in experimental technologies have given rise to tremendous amounts of biology data. This not only offers valuable sources of data to help understand biological evolution and functional mechanisms, but also poses challenges for accurate and effective data analysis. This book offers an essential introduction to the theoretical and practical aspects of association analysis, including data pre-processing, data mining methods/algorithms, and tools that are widely applied for computational biology. It covers significant recent advances in the field, both foundational and application-oriented, helping readers understand the basic principles and emerging techniques used to discover interesting association patterns in diverse and heterogeneous biology data, such as structure-function correlations, and complex networks with gene/protein regulation. The main results and approaches are described in an easy-to-follow way and accompanied by sufficientreferences and suggestions for future research. This carefully edited monograph is intended to provide investigators in the fields of data mining, machine learning, artificial intelligence, and bioinformatics with a profound guide to the role of association analysis in computational biology. It is also very useful as a general source of information on association analysis, and as an overall accompanying course book and self-study material for graduate students and researchers in both computer science and bioinformatics.
The Association Graph and the Multigraph for Loglinear Models
by Harry J. KhamisThe Association Graph and the Multigraph for Loglinear Models will help students, particularly those studying the analysis of categorical data, to develop the ability to evaluate and unravel even the most complex loglinear models without heavy calculations or statistical software. This supplemental text reviews loglinear models, explains the association graph, and introduces the multigraph to students who may have little prior experience of graphical techniques, but have some familiarity with categorical variable modeling. The author presents logical step-by-step techniques from the point of view of the practitioner, focusing on how the technique is applied to contingency table data and how the results are interpreted.
Association Models in Epidemiology: Study Designs, Modeling Strategies, and Analytic Methods (Chapman & Hall/CRC Biostatistics Series)
by Hongjie LiuAssociation Models in Epidemiology: Study Designs, Modeling Strategies, and Analytic Methods is written by an epidemiologist for graduate students, researchers, and practitioners who will use regression techniques to analyze data. It focuses on association models rather than prediction models. The book targets students and working professionals who lack bona fide modeling experts but are committed to conducting appropriate regression analyses and generating valid findings from their projects. This book aims to offer detailed strategies to guide them in modeling epidemiologic data.Features Custom-Tailored Models: Discover association models specifically designed for epidemiologic study designs. Epidemiologic Principles in Action: Learn how to apply and translate epidemiologic principles into regression modeling techniques. Model Specification Guidance: Get expert guidance on model specifications to estimate exposure-outcome associations, accurately controlling for confounding bias. Accessible Language: Explore regression intricacies in user-friendly language, accompanied by real-world examples that make learning easier. Step-by-Step Approach: Follow a straightforward step-by-step approach to master strategies and procedures for analysis. Rich in Examples: Benefit from 120 examples, 77 figures, 86 tables, and 174 SAS® outputs with annotations to enhance your understanding. Book website located here. Crafted for two primary audiences, this text benefits graduate epidemiology students seeking to understand how epidemiologic principles inform modeling analyses and public health professionals conducting independent analyses in their work. Therefore, this book serves as a textbook in the classroom and as a reference book in the workplace. A wealth of supporting material is available for download from the book’s CRC Press webpage. Upon completing this text, readers should gain confidence in accurately estimating associations between risk factors and outcomes, controlling confounding bias, and assessing effect modification.
Associations and Correlations: Unearth the powerful insights buried in your data
by Lee BakerDiscover the story of your data using the essential elements of associations and correlations Key Features Get a comprehensive introduction to associations and correlations Explore multivariate analysis, understand its limitations, and discover the assumptions on which it's based Gain insights into the various ways of preparing your data for analysis and visualization Book Description Associations and correlations are ways of describing how a pair of variables change together as a result of their connection. By knowing the various available techniques, you can easily and accurately discover and visualize the relationships in your data. This book begins by showing you how to classify your data into the four distinct types that you are likely to have in your dataset. Then, with easy-to-understand examples, you'll learn when to use the various univariate and multivariate statistical tests. You'll also discover what to do when your univariate and multivariate results do not match. As the book progresses, it describes why univariate and multivariate techniques should be used as a tag team, and also introduces you to the techniques of visualizing the story of your data. By the end of the book, you'll know exactly how to select the most appropriate univariate and multivariate tests, and be able to use a single strategic framework to discover the true story of your data. What you will learn Identify a dataset that's fit for analysis using its basic features Understand the importance of associations and correlations Use multivariate and univariate statistical tests to confirm relationships Classify data as qualitative or quantitative and then into the four subtypes Build a visual representation of all the relationships in the dataset Automate associations and correlations with CorrelViz Who this book is for This is a book for beginners – if you're a novice data analyst or data scientist, then this is a great place to start. Experienced data analysts might also find value in this title, as it will recap the basics and strengthen your understanding of key concepts. This book focuses on introducing the essential elements of association and correlation analysis.
Associative and Non-Associative Algebras and Applications: 3rd MAMAA, Chefchaouen, Morocco, April 12-14, 2018 (Springer Proceedings in Mathematics & Statistics #311)
by Mercedes Siles Molina Laiachi El Kaoutit Mohamed Louzari L’Moufadal Ben Yakoub Mohamed BenslimaneThis book gathers together selected contributions presented at the 3rd Moroccan Andalusian Meeting on Algebras and their Applications, held in Chefchaouen, Morocco, April 12-14, 2018, and which reflects the mathematical collaboration between south European and north African countries, mainly France, Spain, Morocco, Tunisia and Senegal. The book is divided in three parts and features contributions from the following fields: algebraic and analytic methods in associative and non-associative structures; homological and categorical methods in algebra; and history of mathematics. Covering topics such as rings and algebras, representation theory, number theory, operator algebras, category theory, group theory and information theory, it opens up new avenues of study for graduate students and young researchers. The findings presented also appeal to anyone interested in the fields of algebra and mathematical analysis.
Assouad Dimension and Fractal Geometry (Cambridge Tracts in Mathematics #222)
by Jonathan M. FraserThe Assouad dimension is a notion of dimension in fractal geometry that has been the subject of much interest in recent years. This book, written by a world expert on the topic, is the first thorough account of the Assouad dimension and its many variants and applications in fractal geometry and beyond. It places the theory of the Assouad dimension in context among up-to-date treatments of many key advances in fractal geometry, while also emphasising its diverse connections with areas of mathematics including number theory, dynamical systems, harmonic analysis, and probability theory. A final chapter detailing open problems and future directions for research brings readers to the cutting edge of this exciting field. This book will be an indispensable part of the modern fractal geometer's library and a valuable resource for pure mathematicians interested in the beauty and many applications of the Assouad dimension.
Astronomically Speaking: A Dictionary of Quotations on Astronomy and Physics
by Carl C. Gaither Alma E. Cavazos-GaitherTo understand the history, accomplishments, failures, and meanings of astronomy requires a knowledge of what has been said about astronomy by philosophers, novelists, playwrights, poets, scientists, and laymen. Astronomically Speaking: A Dictionary of Quotations on Astronomy and Physics serves as a guide to what has been said about astronomy through the ages, from the past to the present. Containing approximately 1,550 quotations and numerous illustrations, this resource is the largest compilation of astronomy and astrophysics quotations published to date. A quick glance through the table of contents illustrates the variety of topics discussed. Readers can quickly and easily access the wit and wisdom of several hundred scientists, writers, philosophers, poets, and academics using the comprehensive indexes.
Astroparticle Physics: Theory and Phenomenology (Atlantis Studies in Astroparticle Physics and Cosmology #1)
by Günter SiglThis books aims at giving an overview over theoretical and phenomenological aspects of particle astrophysics and particle cosmology. To be of interest for both students and researchers in neighboring fields of physics, it keeps a balance between well established foundations that will not significantly change in the future and a more in-depth treatment of selected subfields in which significant new developments have been taking place recently. These include high energy particle astrophysics, such as cosmic high energy neutrinos, the interplay between detection techniques of dark matter in the laboratory and in high energy cosmic radiation, axion-like particles, and relics of the early Universe such as primordial magnetic fields and gravitational waves. It also contains exercises and thus will be suitable for both introductory and advanced courses in astroparticle physics.
Astrophysics Through Computation
by Brian Koberlein David MeiselThis new text surveys a series of fundamental problems in astrophysics, both analytically and computationally for advanced students in physics and astrophysics. The contents are supported by over 110 class-tested Mathematica notebooks, allowing rigorous solutions to be explored in a visually engaging way. Topics covered include many classical and historically interesting problems, enabling the students to appreciate the mathematical and scientific challenges that were overcome in the subject's development. The text also shows the advantages and disadvantages of using analytical and computational methods. It will serve students, professionals, and capable amateurs to master the quantitative details of modern astrophysics and the computational aspects of their research projects.