Social Science Made Simple strictly adheres to the syllabus of the Social Science books published by the NCERT for Classes 6 to 8. The books contain a plethora of study material to help reinforce the concepts taught in the NCERT books, along with numerous exercises covering all aspects of the chapter.Social Science Made Simple strictly adheres to the syllabus of the Social Science books published by the NCERT for Classes 6 to 8. The books contain a plethora of study material to help reinforce the concepts taught in the NCERT books, along with numerous exercises covering all aspects of the chapter.

A Course Book on Science

Social Science Made Simple strictly adheres to the syllabus of the Social Science books published by the NCERT for Classes 6 to 8. The books contain a plethora of study material to help reinforce the concepts taught in the NCERT books, along with numerous exercises covering all aspects of the chapter.Social Science Made Simple strictly adheres to the syllabus of the Social Science books published by the NCERT for Classes 6 to 8. The books contain a plethora of study material to help reinforce the concepts taught in the NCERT books, along with numerous exercises covering all aspects of the chapter.

Social Science Made Simple strictly adheres to the syllabus of the Social Science books published by the NCERT for Classes 6 to 8. The books contain a plethora of study material to help reinforce the concepts taught in the NCERT books, along with numerous exercises covering all aspects of the chapter.Social Science Made Simple strictly adheres to the syllabus of the Social Science books published by the NCERT for Classes 6 to 8. The books contain a plethora of study material to help reinforce the concepts taught in the NCERT books, along with numerous exercises covering all aspects of the chapter.

This book is designed to introduce doctoral and graduate students to the process of conducting scientific research in the social sciences, business, education, public health, and related disciplines. It is a one-stop, comprehensive, and compact source for foundational concepts in behavioral research, and can serve as a stand-alone text or as a supplement to research readings in any doctoral seminar or research methods class. This book is currently used as a research text at universities on six continents and will shortly be available in nine different languages.

Science communication is a rapidly expanding area and meaningful engagement between scientists and the public requires effective communication. Designed to help the novice scientist get started with science communication, this unique guide begins with a short history of science communication before discussing the design and delivery of an effective engagement event. Along with numerous case studies written by highly regarded international contributors, the book discusses how to approach face-to-face science communication and engagement activities with the public while providing tips to avoid potential pitfalls. This book has been written for scientists at all stages of their career, including undergraduates and postgraduates wishing to engage with effective science communication for the first time, or looking to develop their science communication portfolio.

This established textbook introduces the essentials of classification as used for information processing. The third edition takes account of developments that have taken place since the second edition was published in 2002. Classification Made Simple provides a useful gateway to more advanced works and the study of specific schemes. As an introductory text, it will be invaluable to students of information work and to anyone inside or outside the information profession who needs to understand the manner in which classification can be utilized to facilitate and enhance organisation and retrieval.

"Data analysis has become a necessary skill across the social sciences, and recent advancements in computing power have made knowledge of programming an essential component. Yet most data science books are intimidating and overwhelming to a non-specialist audience, including most undergraduates. This book will be a shorter, more focused and accessible version of Kosuke Imai's Quantitative Social Science book, which was published by Princeton in 2018 and has been adopted widely in graduate level courses of the same title. This book uses the same innovative approach as Quantitative Social Science , using real data and 'R' to answer a wide range of social science questions. It assumes no prior knowledge of statistics or coding. It starts with straightforward, simple data analysis and culminates with multivariate linear regression models, focusing more on the intuition of how the math works rather than the math itself. The book makes extensive use of data visualizations, diagrams, pictures, cartoons, etc., to help students understand and recall complex concepts, provides an easy to follow, step-by-step template of how to conduct data analysis from beginning to end, and will be accompanied by supplemental materials in the appendix and online for both students and instructors"--

Discover and explore simple ways to teach digital literacy skills throughout the day and across various content areas, without a formal digital literacy curriculum. Digital literacy describes skills and ways of thinking related to the use of technology, including the technical competence to communicate, evaluate and interpret digital information, navigate websites and understand why all these skills are important. All students need these skills to be responsible participants in school and society. However, teaching digital literacy can be challenging for teachers who have many other content standards they must address. In this book, two innovative educators demonstrate how to weave digital literacy skills throughout instruction in small ways, with simple strategies to discuss, model, mentor, build a learning culture and create digital experiences to improve students’ digital literacy skills and habits. The book: • Defines the fundamental elements of digital literacy and why they are important for students to understand. • Offers teaching strategies for integrating digital literacy into lessons across a range of content areas. • Provides case studies of classroom teachers using mini-strategies to improve students’ digital literacy skills and habits. • Includes resources for teachers to use as they develop digital literacy strategies. Through the use of practical examples that all teachers can implement immediately, this book is a useful guide for any teacher working to encourage digital literacy in their students. Audience: Elementary and secondary teachers; instructional coaches; technology leaders; and school library media specialists

DescriptionThis book is designed to give you on insight of the art and science of Computers. the book does not ned any special background to comprehend the subject matter.The book covers the entire course contents of Computer Science with Python Language for Class XI prescribed by Central Board of Secondary Education (C.B.S.E.) according to new Syllabus 2018-2019 onwards) in a clear and simple English language. It discusses Programming and Computational Thinking. Computer Systems and Organisation Concepts in very comprehensive manner to build a strong foundation. The Programming methodology and Introduction to Python language are described in easy-to-understand language. Different topics such as Control structures, Strings, Lists, Dictionaries and Tuples are explained in a very easy to understand language. Programming with Python language is explained with maximum number of examples. It presents a detailed discussion of topics such as Database Concepts, SQL, Relational Algebra, MangoDB and CyberSafety.FeaturesAmple number of diagrams are used to illustrate the subject matter for easy understandingSolved Exercises are added at the end of each chapter so that the readers can evaluate their progress by comparing their answers with the answers given in the book.Summary and Glossary related to particular chapter are given at the end of each chapter.A Lab Exercise is added at the end of each chapter.Contents Unit-1 Programming and Computational Thinking Programming Concepts, Problem Solving Methodology and Techniques, Getting Started with Python, Data Types, Variables and Constants, Operators and Expressions, Flow of Control, Functions, String Manipulation, List Manipulation, Dictionaries , Tuples, Exception Handling and DebuggingUnit-2 Computer Systems and Organisation Basic Computer Organisation, Software Concepts, Data Representation, Boolean Algebra Unit-3 Database Management Database Management Concepts Unit-4 Society, Law and Ethics - Cyber Safety Society, Law and Ethics- Cyber SafetySummary, Glossary, Solved Exercise, AssignmentsProject Work, Sample Question Paper 1 & 2