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| science project data table: Plan-Develop-Display-Present Science Projects, Grades 3-6 Teacher Created Resources, Inc, 2008 Provide students with the skills and information they need to have enjoyable and successful science experiences. The standards-based activities allow students to practice the investigative process and develop scientific inquiry skills. |
| science project data table: Principles of Biology Lisa Bartee, Walter Shiner, Catherine Creech, 2017 The Principles of Biology sequence (BI 211, 212 and 213) introduces biology as a scientific discipline for students planning to major in biology and other science disciplines. Laboratories and classroom activities introduce techniques used to study biological processes and provide opportunities for students to develop their ability to conduct research. |
| science project data table: Janice VanCleave's Great Science Project Ideas from Real Kids Janice VanCleave, 2007-01-22 There's plenty for you to choose from in this collection of forty terrific science project ideas from real kids, chosen by well-known children's science writer Janice VanCleave. Developing your own science project requires planning, research, and lots of hard work. This book saves you time and effort by showing you how to develop your project from start to finish and offering useful design and presentation techniques. Projects are in an easy-to-follow format, use easy-to-find materials, and include dozens illustrations and diagrams that show you what kinds of charts and graphs to include in your science project and how to set up your project display. You’ll also find clear scientific explanations, tips for developing your own unique science project, and 100 additional ideas for science projects in all science categories. |
| science project data table: Janice VanCleave's Help! My Science Project Is Due Tomorrow! Easy Experiments You Can Do Overnight Janice VanCleave, 2002-07-15 Caught in the Last-Minute Science Project Scramble? Looking for Fun, Interesting Project Ideas? You're in luck! With Janice VanCleave's Help! My Science Project IsDue Tomorrow! you can choose from a wide variety of ideas drawingfrom all the scientific disciplines. Just pick any topic you'reinterested in-stars, telescopes, cells, spiders, chemical change,solutions, the water cycle, energy, and many more-read thebackground information, gather a few simple materials, and startexperimenting! Each chapter presents a simple scientific investigation thatincludes step-by-step instructions, a description of the desiredresult, and ideas on how to expand on the topic to make it yourvery own science project. And, as with all of Janice VanCleave'sexperiment books, the materials are safe, inexpensive, and easilyfound around the house. You'll not only find this book useful forany science project assignments all year round but a great resourcefor developing long-term science fair projects. |
| science project data table: R for Data Science Hadley Wickham, Garrett Grolemund, 2016-12-12 Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You'll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you've learned along the way. You'll learn how to: Wrangle—transform your datasets into a form convenient for analysis Program—learn powerful R tools for solving data problems with greater clarity and ease Explore—examine your data, generate hypotheses, and quickly test them Model—provide a low-dimensional summary that captures true signals in your dataset Communicate—learn R Markdown for integrating prose, code, and results |
| science project data table: Math Trailblazers 2E G2 Teacher Implemenation Guide Kendall/Hunt Publishing Company TIMS Project National Science Foundation (U.S.) University of Illinois at Chicago, 2004 |
| science project data table: CK-12 Middle School Math Grade 7, Volume 2 Of 2 CK-12 Foundation, 2012-02-20 Explores foundational math concepts that will prepare students for Algebra and more advanced subjects. Material includes decimals, fractions, exponents, integers, percents, inequalities, and some basic geometry. Volume 2 includes the last 6 chapters. |
| science project data table: Data Science Quick Reference Manual Analysis and Visualization Mario A. B. Capurso, This work follows the 2021 curriculum of the Association for Computing Machinery for specialists in Data Sciences, with the aim of producing a manual that collects notions in a simplified form, facilitating a personal training path starting from specialized skills in Computer Science or Mathematics or Statistics. It has a bibliography with links to quality material but freely usable for your own training and contextual practical exercises. Second of a series of books, it covers methodological aspects, analysis and visualization. It describes the CRISP DM methodology, the working phases, the success criteria, the languages and the environments that can be used, the application libraries. Since this book uses Orange for the application aspects, its installation and widgets are described. In visualization, historical notes are made, and next the book describes the characteristics of an effective visualization, the types of messages that can be conveyed, the Grammar of Graphics, the use of a graph and a dashboard, the software and libraries that can be used, the role and use of color. 55 types of graphs are then analyzed, reporting meaning, use, examples and visual dimensions also with a vocabulary of graphs and summary tables. Examples are given in Orange and the possible use of Python with Orange is explained. Visualization-based inference is discussed, exploratory and confirmatory analysis is defined and techniques are reported. The book is accompanied by supporting material and it is possible to download the project samples in Orange and sample data. |
| science project data table: Teaching and Learning Online Franklin S. Allaire, Jennifer E. Killham, 2023-01-01 Science is unique among the disciplines since it is inherently hands-on. However, the hands-on nature of science instruction also makes it uniquely challenging when teaching in virtual environments. How do we, as science teachers, deliver high-quality experiences to secondary students in an online environment that leads to age/grade-level appropriate science content knowledge and literacy, but also collaborative experiences in the inquiry process and the nature of science? The expansion of online environments for education poses logistical and pedagogical challenges for early childhood and elementary science teachers and early learners. Despite digital media becoming more available and ubiquitous and increases in online spaces for teaching and learning (Killham et al., 2014; Wong et al., 2018), PreK-12 teachers consistently report feeling underprepared or overwhelmed by online learning environments (Molnar et al., 2021; Seaman et al., 2018). This is coupled with persistent challenges related to elementary teachers’ lack of confidence and low science teaching self-efficacy (Brigido, Borrachero, Bermejo, & Mellado, 2013; Gunning & Mensah, 2011). Teaching and Learning Online: Science for Secondary Grade Levels comprises three distinct sections: Frameworks, Teacher’s Journeys, and Lesson Plans. Each section explores the current trends and the unique challenges facing secondary teachers and students when teaching and learning science in online environments. All three sections include alignment with Next Generation Science Standards, tips and advice from the authors, online resources, and discussion questions to foster individual reflection as well as small group/classwide discussion. Teacher’s Journeys and Lesson Plan sections use the 5E model (Bybee et al., 2006; Duran & Duran, 2004). Ideal for undergraduate teacher candidates, graduate students, teacher educators, classroom teachers, parents, and administrators, this book addresses why and how teachers use online environments to teach science content and work with elementary students through a research-based foundation. |
| science project data table: Science Fair Success Experiland, 2010-09-23 Is the deadline for your science fair project quickly approaching? Not to worry, ‘SCIENCE FAIR SUCCESS’ is written in an easy to follow format that will guide you, step-by-step, how to create an exciting project that not only demonstrates good scientific practice but gives you the first-prize edge. Experiland’s complimentary ‘SCIENCE FAIR SUCCESS’ e-book will let you discover: How to choose a topic for your project and do research. How to design your experiment including what steps must be included in order to do a successful science fair project. A 6-week timeline that will help you stay on track and alleviate panic in the weeks approaching the science fair! What a hypothesis is and how to write one. What the 10 Steps of the scientific method are. How to write a professional project report according to the correct scientific method. How to interpret and record your data using tables & graphs. Details of how to make a professional display board. What the judges look for in a science fair project. And much, much more! |
| science project data table: Ace Your Sports Science Project Madeline P. Goodstein, Robert Gardner, Barbara Gardner Conklin, 2009 Presents several science experiments and project ideas dealing with the physics of sports--Provided by publisher. |
| science project data table: Learning Statistics with R Daniel Navarro, 2013-01-13 Learning Statistics with R covers the contents of an introductory statistics class, as typically taught to undergraduate psychology students, focusing on the use of the R statistical software and adopting a light, conversational style throughout. The book discusses how to get started in R, and gives an introduction to data manipulation and writing scripts. From a statistical perspective, the book discusses descriptive statistics and graphing first, followed by chapters on probability theory, sampling and estimation, and null hypothesis testing. After introducing the theory, the book covers the analysis of contingency tables, t-tests, ANOVAs and regression. Bayesian statistics are covered at the end of the book. For more information (and the opportunity to check the book out before you buy!) visit http://ua.edu.au/ccs/teaching/lsr or http://learningstatisticswithr.com |
| science project data table: School Science and Mathematics , 1909 |
| science project data table: The Good Research Guide: For Small-Scale Social Research Projects Denscombe, Martyn, 2014-08-01 The Good Research Guide is a best-selling introductory book on the basics of social research. |
| science project data table: Genetics and Evolution Science Fair Projects, Using the Scientific Method Robert Gardner, 2010-01-01 Why do some humans have curved thumbs while others have straight thumbs? What is DNA? What happens during cell division? Using easy-to-find materials, young scientists will explore genetics, evolution, and classification, and more, all with the help of the scientific method. For students interested in competing in science fairs, this book contains great suggestions and ideas for further experiments. |
| science project data table: Janice VanCleave's A+ Science Fair Workbook and Project Journal, Grades 7-12 Janice VanCleave, 2003-10-02 A great way to prepare for any science fair This comprehensive workbook from Janice VanCleave promotes science success in school and at science fair time. It features 50 complete experiments from all areas of the science curriculum, supplemented with notebook pages and a personal project journal. Middle and high school students will find plenty of suggestions for changing the experiments and designing their own, along with unique projects on related topics. With lots of illustrations and explanations that make the subject matter easy to understand, the experiments can be done at home or in the classroom and require only easy-to-find materials. |
| science project data table: Championship Science Fair Projects Sudipta Bardhan-Quallen, 2007-08 With these 100 proven projects, students will have a really winning science fair experience--and hone their analytical skills, too. Best of all, the author makes even the most complicated subjects--such as DNA research--marvelously clear. The wide range of topics offers something for everyone: the many faces of acids and bases, the science of life (cells, enzymes, algae), perfect plant projects, the nature of hot and cold, chemical conundrums, and lots more. Students can construct a solar oven in a pizza box, figure out how many phone books can balance on a couple of eggshells, concoct a snail salad,” and other blue-ribbon ideas. |
| science project data table: Data Science in Practice Tom Alby, 2023-09-22 Data Science in Practice is the ideal introduction to data science. With or without math skills, here, you get the all-round view that you need for your projects. This book describes how to properly question data, in order to unearth the treasure that data can be. You will get to know the relevant analysis methods, and will be introduced to the programming language R, which is ideally suited for data analysis. Associated tools like notebooks that make data science programming easily accessible are included in this introduction. Because technology alone is not enough, this book also deals with problems in project implementation, illuminates various fields of application, and does not forget to address ethical aspects. Data Science in Practice includes many examples, notes on errors, decision-making aids, and other practical tips. This book is ideal as a complementary text for university students, and is a useful learning tool for those moving into more data-related roles. Key Features: Success factors and tools for all project phases Includes application examples for various subject areas Introduces many aspects of Data Science, from requirements analysis to data acquisition and visualization |
| science project data table: R Machine Learning Projects Dr. Sunil Kumar Chinnamgari, 2019-01-14 Master a range of machine learning domains with real-world projects using TensorFlow for R, H2O, MXNet, and more Key FeaturesMaster machine learning, deep learning, and predictive modeling concepts in R 3.5Build intelligent end-to-end projects for finance, retail, social media, and a variety of domainsImplement smart cognitive models with helpful tips and best practicesBook Description R is one of the most popular languages when it comes to performing computational statistics (statistical computing) easily and exploring the mathematical side of machine learning. With this book, you will leverage the R ecosystem to build efficient machine learning applications that carry out intelligent tasks within your organization. This book will help you test your knowledge and skills, guiding you on how to build easily through to complex machine learning projects. You will first learn how to build powerful machine learning models with ensembles to predict employee attrition. Next, you’ll implement a joke recommendation engine and learn how to perform sentiment analysis on Amazon reviews. You’ll also explore different clustering techniques to segment customers using wholesale data. In addition to this, the book will get you acquainted with credit card fraud detection using autoencoders, and reinforcement learning to make predictions and win on a casino slot machine. By the end of the book, you will be equipped to confidently perform complex tasks to build research and commercial projects for automated operations. What you will learnExplore deep neural networks and various frameworks that can be used in RDevelop a joke recommendation engine to recommend jokes that match users’ tastesCreate powerful ML models with ensembles to predict employee attritionBuild autoencoders for credit card fraud detectionWork with image recognition and convolutional neural networks Make predictions for casino slot machine using reinforcement learningImplement NLP techniques for sentiment analysis and customer segmentationWho this book is for If you’re a data analyst, data scientist, or machine learning developer who wants to master machine learning concepts using R by building real-world projects, this is the book for you. Each project will help you test your skills in implementing machine learning algorithms and techniques. A basic understanding of machine learning and working knowledge of R programming is necessary to get the most out of this book. |
| science project data table: Ace Your Human Biology Science Project Robert Gardner, Barbara Gardner Conklin, 2009-08-01 How do joints work? How do sense receptors work? What type of personality do you have? Readers will learn the answers to these questions and more with the fun experiments in this book. Young scientists will explore human body systems and behavior. Many experiments include ideas readers can use for their science fair. Readers will learn about the scientific method, too. |
| science project data table: Conference Proceedings. New Perspectives in Science Education Pixel, 2017 |
| science project data table: Urban Bird Ecology and Conservation Christopher A. Lepczyk, Paige S. Warren, 2012-10-26 Now that more than half of the world’s population lives in cities, the study of birds in urban ecosystems has emerged at the forefront of ornithological research. An international team of leading researchers in urban bird ecology and conservation from across Europe and North America presents the state of this diverse field, addressing classic questions while proposing new directions for further study. Areas of particular focus include the processes underlying patterns of species shifts along urban-rural gradients, the demography of urban birds and the role of citizen science, and human-avian interaction in urban areas. This important reference fills a crucial need for scientists, planners, and managers of urban spaces and all those interested in the study and conservation of birds in the world’s expanding metropolises. |
| science project data table: Exemplary Science In Informal Education Settings:Standards-Based Success Stories Robert Yager, John Falk, 2007-10-04 |
| science project data table: Forces and Motion Science Fair Projects, Revised and Expanded Using the Scientific Method Robert Gardner, 2013-07 How can you tell if a moving object is accelerating? Why are pulleys used to lift objects? Can you observe weightlessness in everyday situations? Using easy-to-find materials and the scientific method, you can learn the answers to these questions and more. If you are interested in competing in science fairs, the book contains lots of great suggestions and ideas for further experiments. |
| science project data table: The Frugal Science Teacher, 6-9 Linda Froschauer, 2010 By following the recommendations found in this book. writes Froschauer, a retired classroom teacher of 35 years, you will find creative ways to keep expenses down and stretch your funds while building student understanding. --Book Jacket. |
| science project data table: Science Fair Projects for Elementary Schools Patricia Hachten Wee, 1998 Offers step-by-step instructions for a hands-on learning experience for children in grades 2-5 who are doing science fair projects. |
| science project data table: Citizen Science Nancy M. Trautmann, 2013 The editors of this book have a straightforward goal: to inspire you to engage your students through public collaboration in scientific research--also known as citizen science. The book is specifically designed to get you comfortable using citizen science to support independent inquiry through which your students can learn both content and process skills. Citizen Science offers you: Real-life case studies of classes that engaged in citizen science and learned authentic scientific processes and the habits of mind associated with scientific reasoning. Fifteen stimulating lessons you can use to build data collection and analysis into your teaching. Plenty of flexibility. You can use the lessons with or without access to field or lab facilities; whether or not your students can collect and submit data of their own; and inside your classroom or outside through fieldwork in schoolyards, parks, or other natural areas in urban or rural settings. You don't need an advanced degree in science to guide your students in productive participation in one of a growing variety of citizen science projects.As the editors note, Such involvement can scaffold teachers' entry into facilitating student investigation while connecting students with relevant, meaningful, and real experiences with science. |
| science project data table: Modern Data Science with R Benjamin S. Baumer, Daniel T. Kaplan, Nicholas J. Horton, 2021-03-31 From a review of the first edition: Modern Data Science with R... is rich with examples and is guided by a strong narrative voice. What’s more, it presents an organizing framework that makes a convincing argument that data science is a course distinct from applied statistics (The American Statistician). Modern Data Science with R is a comprehensive data science textbook for undergraduates that incorporates statistical and computational thinking to solve real-world data problems. Rather than focus exclusively on case studies or programming syntax, this book illustrates how statistical programming in the state-of-the-art R/RStudio computing environment can be leveraged to extract meaningful information from a variety of data in the service of addressing compelling questions. The second edition is updated to reflect the growing influence of the tidyverse set of packages. All code in the book has been revised and styled to be more readable and easier to understand. New functionality from packages like sf, purrr, tidymodels, and tidytext is now integrated into the text. All chapters have been revised, and several have been split, re-organized, or re-imagined to meet the shifting landscape of best practice. |
| science project data table: Financing Construction Russell Kenley, 2003-09-02 This professional text provides a considered analysis of the tools and techniques of project financial management in construction, notably it covers cash flow modelling and provides the first detailed investigation of cash farming. |
| science project data table: Designing a Winning Science Fair Project Sandra Buczynski, 2014-08-01 Learn how to design, carry out, and present the results of a science project. Students will use relevant prior knowledge of scientific experiments to present their ideas in a new way. The domain-specific vocabulary helps students grow deeper in their understanding of how to carry out experiments effectively. |
| science project data table: Engineering Management Fausto Pedro García Márquez, Benjamin Lev, 2013-03-06 The Engineering Management book synthesises the engineering principles with business practice, i.e. the book provides an interface between the main disciplines of engineering/technology and the organizational, administrative, and planning abilities of management. It is complementary to other sub-disciplines such as economics, finance, marketing, decision and risk analysis, etc. This book is intended for engineers, economics and researchers who are developing new advances in engineering management, or who employ the engineering management discipline as part of their work. The authors of this volume describe their pioneering work in the area or provide material for case studies successfully applying the engineering management discipline in real life cases. |
| science project data table: Intelligence-Based Cardiology and Cardiac Surgery Anthony C Chang, Alfonso Limon, Robert Brisk, Francisco Lopez- Jimenez, Louise Y Sun, 2023-09-06 Intelligence-Based Cardiology and Cardiac Surgery: Artificial Intelligence and Human Cognition in Cardiovascular Medicine provides a comprehensive survey of artificial intelligence concepts and methodologies with real-life applications in cardiovascular medicine. Authored by a senior physician-data scientist, the book presents an intellectual and academic interface between the medical and data science domains. The book's content consists of basic concepts of artificial intelligence and human cognition applications in cardiology and cardiac surgery. This portfolio ranges from big data, machine and deep learning, cognitive computing and natural language processing in cardiac disease states such as heart failure, hypertension and pediatric heart care. The book narrows the knowledge and expertise chasm between the data scientists, cardiologists and cardiac surgeons, inspiring clinicians to embrace artificial intelligence methodologies, educate data scientists about the medical ecosystem, and create a transformational paradigm for healthcare and medicine. - Covers a wide range of relevant topics from real-world data, large language models, and supervised machine learning to deep reinforcement and federated learning - Presents artificial intelligence concepts and their applications in many areas in an easy-to-understand format accessible to clinicians and data scientists - Discusses using artificial intelligence and related technologies with cardiology and cardiac surgery in a myriad of venues and situations - Delineates the necessary elements for successfully implementing artificial intelligence in cardiovascular medicine for improved patient outcomes - Presents the regulatory, ethical, legal, and financial issues embedded in artificial intelligence applications in cardiology |
| science project data table: Global Environment Outlook – GEO-6: Healthy Planet, Healthy People UN Environment, 2019-06-06 Published to coincide with the Fourth United Nations Environmental Assembly, UN Environment's sixth Global Environment Outlook calls on decision makers to take bold and urgent action to address pressing environmental issues in order to protect the planet and human health. By bringing together hundreds of scientists, peer reviewers and collaborating institutions and partners, the GEO reports build on sound scientific knowledge to provide governments, local authorities, businesses and individual citizens with the information needed to guide societies to a truly sustainable world by 2050. GEO-6 outlines the current state of the environment, illustrates possible future environmental trends and analyses the effectiveness of policies. This flagship report shows how governments can put us on the path to a truly sustainable future - emphasising that urgent and inclusive action is needed to achieve a healthy planet with healthy people. This title is also available as Open Access on Cambridge Core. |
| science project data table: Manufacturing Science and Technology, ICMST2011 Wu Fan, 2011-11-22 Selected, peer reviewed papers from the 2011 International Conference on Manufacturing Science and Technology, (ICMST 2011), September 16-18, 2011, Singapore |
| science project data table: Proceedings of the European Cognitive Science Conference 2007 Stella Vosniadou, 2017-09-29 This volume contains the invited lectures, invited symposia, symposia, papers and posters presented at the 2nd European Cognitive Science Conference held in Greece in May 2007. The papers presented in this volume range from empirical psychological studies and computational models to philosophical arguments, meta-analyses and even to neuroscientific experimentation. The quality of the work shows that the Cognitive Science Society in Europe is an exciting and vibrant one. There are 210 contributions by cognitive scientists from 27 different countries, including USA, France, UK, Germany, Greece, Italy, Belgium, Japan, Spain, the Netherlands, and Australia. This book will be of interest to anyone concerned with current research in Cognitive Science. |
| science project data table: Drawdown Paul Hawken, 2017-04-18 • New York Times bestseller • The 100 most substantive solutions to reverse global warming, based on meticulous research by leading scientists and policymakers around the world “At this point in time, the Drawdown book is exactly what is needed; a credible, conservative solution-by-solution narrative that we can do it. Reading it is an effective inoculation against the widespread perception of doom that humanity cannot and will not solve the climate crisis. Reported by-effects include increased determination and a sense of grounded hope.” —Per Espen Stoknes, Author, What We Think About When We Try Not To Think About Global Warming “There’s been no real way for ordinary people to get an understanding of what they can do and what impact it can have. There remains no single, comprehensive, reliable compendium of carbon-reduction solutions across sectors. At least until now. . . . The public is hungry for this kind of practical wisdom.” —David Roberts, Vox “This is the ideal environmental sciences textbook—only it is too interesting and inspiring to be called a textbook.” —Peter Kareiva, Director of the Institute of the Environment and Sustainability, UCLA In the face of widespread fear and apathy, an international coalition of researchers, professionals, and scientists have come together to offer a set of realistic and bold solutions to climate change. One hundred techniques and practices are described here—some are well known; some you may have never heard of. They range from clean energy to educating girls in lower-income countries to land use practices that pull carbon out of the air. The solutions exist, are economically viable, and communities throughout the world are currently enacting them with skill and determination. If deployed collectively on a global scale over the next thirty years, they represent a credible path forward, not just to slow the earth’s warming but to reach drawdown, that point in time when greenhouse gases in the atmosphere peak and begin to decline. These measures promise cascading benefits to human health, security, prosperity, and well-being—giving us every reason to see this planetary crisis as an opportunity to create a just and livable world. |
| science project data table: SQL Server Database Programming with Visual Basic.NET Ying Bai, 2020-06-01 A guide to the practical issues and applications in database programming with updated Visual Basic.NET SQL Server Database Programming with Visual Basic.NET offers a guide to the fundamental knowledge and practical techniques for the design and creation of professional database programs that can be used for real-world commercial and industrial applications. The author—a noted expert on the topic—uses the most current version of Visual Basic.NET, Visual Basic.NET 2017 with Visual Studio.NET 2017. In addition, he introduces the updated SQL Server database and Microsoft SQL Server 2017 Express. All sample program projects can be run in the most updated version, Visual Basic.NET 2019 with Visual Studio.NET 2019. Written in an accessible, down-to-earth style, the author explains how to build a sample database using the SQL Server management system and Microsoft SQL Server Management Studio 2018. The latest version of ASP.NET, ASP.NET 4.7, is also discussed to provide the most up-to-date Web database programming technologies. This important book: Offers illustrative practical examples and detailed descriptions to aid in comprehension of the material presented Includes both fundamental and advanced database programming techniques Integrates images into associated database tables using a DevExpress UI tools -WindowsUI Written for graduate and senior undergraduate students studying database implementations and programming courses, SQL Server Database Programming with Visual Basic.NET shows how to develop professional and practical database programs in Visual Basic.NET 2017/Visual Basic.NET 2019. |
| science project data table: Oracle Database Programming with Visual Basic.NET Ying Bai, 2021-04-30 Oracle Database Programming with Visual Basic.NET Discover a detailed treatment of the practical considerations and applications of Oracle database programming with Visual Basic 2019 Oracle Database Programming with Visual Basic.NET: Concepts, Designs, and Implementations delivers a comprehensive exploration of the foundations of Oracle database programming using Visual Basic.NET. Using Visual Basic.NET 2019, Visual Studio.NET 2019, and Oracle 18c XE, the book introduces the Oracle database development system, Oracle SQL Developer and Modeler, and teaches readers how to implement a sample database solution. The distinguished author also demonstrates the use of dotConnect for Oracle to show readers how to create an effective connection to an Oracle 18c XE database. The current versions of the .NET framework, ASP.NET, and ASP.NET 4.7 are also explored and used to offer readers the most up to date web database programming techniques available today. The book provides practical example projects and detailed, line-by-line descriptions throughout to assist readers in the development of their database programming skill. Students will also benefit from the inclusion of: A thorough introduction to databases, including definitions, examples, descriptions of keys and relationships, and some database components in popular databases, like Access, SQL, and Oracle An exploration of ADO.NET, including its architecture and components, like the DataReader class, DataSet component, DataTable component, and the command and parameter classes A discussion of Language Integrated Query (LINQ), including its architecture and components, its relationship to objects, DataSet, Oracle, and Entities An explanation of how to access data in ASP.NET and ASP.NET Web Services with multiple real project examples. Perfect for college and university students taking courses related to database programming and applications, Oracle Database Programming with Visual Basic.NET will also earn a place in the libraries of programmers and software engineers seeking a comprehensive reference for database coding in Visual Basic.NET. |
| science project data table: Interdisciplinary Language Arts and Science Instruction in Elementary Classrooms Valarie L. Akerson, 2020-08-11 This volume brings together evidence-based approaches to interdisciplinary language arts and science instruction. Firmly grounded in the research showing cognitive parallels between the two subjects, and reflecting the many recommendations in recent years for using interdisciplinary instruction at the elementary level, its goal is to help teachers effectively use this kind of instruction in elementary classrooms. The book is organized around three themes: *Introduction to Interdisciplinary Science and Language Arts Instruction; *The Influence of Interdisciplinary Science and Language Arts Instruction on Children’s Learning; and *Research on Preparing Elementary Teachers to Use Interdisciplinary Science and Language Arts Instruction Each chapter summarizes the research on its focal topic. Examples of research applied to practice, and questions and prompts for discussion and reflection help readers apply what they are reading in their own classroom contexts. Teacher educators and prospective and practicing elementary teachers everywhere will benefit from this overview of current research and practice in interdisciplinary science and language arts instruction. |
| science project data table: Monitoring Coral Reefs for Global Change John Pernetta, 1993 |
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