Fundamentals Of Logical Reasoning Data Interpretation

This edition of GKP is the sole source of preparation for the MBA entrance examination's very important segment which is the fundamentals of Logical Reasoning and Data Analysis. This will help to make your preparation upgraded, focused and targeted. It also has fresh worked-out examples as per the latest pattern for improved practice. This book has 3 sections in which the section A explains the various concepts of Data interpretation, Logical Reasoning and Data Sufficiency, section 2 comprises practice exercises for both Data Analysis and Logical Reasoning and Section 3 is LRDI practice tests with solutions and explanations and appendix . This book is also helpful for the other management exams such as XAT, NMAT, CAT, MAT, SNAP, IIFT Etc . Key features: 1. Comprehensive study material for MBA, CAT, MAT, NMAT, XAT, IIFT, SNAP . 2. Lucrative and evident . 3. Practice test papers with solutions and explanations .

This book over the years has proved to be a great architect in shaping student's ability to master Logical Reasoning and Data Interpretation for CAT examination. The fifth edition covers all the fundamental and advanced topics, supported by ample number of worked out examples, caselets, and exercises . It also provides clarity and knowledge of the concepts and questions that are asked in various MBA entrance examinations such as XAT, SNAP, IIFT, IRMA, MAT, NMAT, etc.

The Essentials of Data Science: Knowledge Discovery Using R presents the concepts of data science through a hands-on approach using free and open source software. It systematically drives an accessible journey through data analysis and machine learning to discover and share knowledge from data. Building on over thirty years’ experience in teaching and practising data science, the author encourages a programming-by-example approach to ensure students and practitioners attune to the practise of data science while building their data skills. Proven frameworks are provided as reusable templates. Real world case studies then provide insight for the data scientist to swiftly adapt the templates to new tasks and datasets. The book begins by introducing data science. It then reviews R’s capabilities for analysing data by writing computer programs. These programs are developed and explained step by step. From analysing and visualising data, the framework moves on to tried and tested machine learning techniques for predictive modelling and knowledge discovery. Literate programming and a consistent style are a focus throughout the book.

Yoost and Crawford’s Fundamentals of Nursing is back for a second-edition encore! The text that made its name by focusing on simple language and active learning continues its focus on helping you truly understand, apply, and retain important nursing information and concepts. Using a warm and conversational style, this new second edition guides you towards a basic understanding of the nursing profession and then logically progresses through the nursing process and into the safe and systematic methods of applying care. Each chapter features realistic and complex case studies and critical thinking exercises woven throughout the content to help you continually apply what you've learned to actual patient care. A conceptual care mapping approach — created by Yoost and Crawford themselves — further your ability to make clinical judgments and synthesize knowledge as you develop plans of care after analyzing and clustering related patient assessment data. All of this paired with a wealth of student-friendly learning features and clinically-focused content offers up a fundamentally different — and effective — way for you to easily master the fundamentals of nursing. UNIQUE! Warm, friendly writing style slows down the pace of information to give readers time to critically think and master all fundamental concepts and skills. UNIQUE! Building block approach groups topics and concepts together thematically, in the order needed for readers to build their knowledge. UNIQUE! Objective-driven approach presents clearly defined, numbered objectives that coordinate with all content and then wrap up with Objective Summaries. UNIQUE! Active learning activities are incorporated throughout every chapter to help readers learn to apply chapter content to broader nursing concepts and realistic patient scenarios. UNIQUE! Conceptual care mapping is taught and used throughout the text in conjunction with the Conceptual Care Map Creator. UNIQUE! Emphasis on QSEN reinforces the Quality and Safety Education for Nurses competencies, including: patient-centered care, teamwork and collaboration, evidence-based practice, quality improvement, safety, and informatics. Special feature boxes cover the areas of: diversity consideration, evidence-based practice, informatics, patient education, healthy literacy, health assessment questions, interprofessional collaboration and delegation, ethical and legal practice, home care considerations, safe practice alerts, QSEN, critical thinking exercises, and nursing care guidelines. NEW! Interprofessional collaboration and delegation content appears throughout the text along with new IPE activities that are integrated into the Evolve resources. NEW & UNIQUE! Review and exam questions tied to learning objectives use a building-block style approach that starts at lower Bloom’s taxonomy levels in early chapters and builds to more complex levels as readers acquire more knowledge. NEW! Emphasis on assignment and delegation covers the differences between them and how and when they’re appropriate for an RN. NEW! Content on complementary therapies has been integrated throughout the text to reflect the changes to the NCLEX exam. NEW! Additional information has been added in the areas of HCAHPS, Health Literacy, Patient Education, Drugs of Abuse, Zika, Ebola, and more.

This textbook aims to help the reader develop an in-depth understanding of logical reasoning and gain knowledge of the theory of computation. The book combines theoretical teaching and practical exercises; the latter is realised in Isabelle/HOL, a modern theorem prover, and PAT, an industry-scale model checker. I also give entry-level tutorials on the two software to help the reader get started. By the end of the book, the reader should be proficient in both software. Content-wise, this book focuses on the syntax, semantics and proof theory of various logics; automata theory, formal languages, computability and complexity. The final chapter closes the gap with a discussion on the insight that links logic with computation. This book is written for a high-level undergraduate course or a Master's course. The hybrid skill set of practical theorem proving and model checking should be helpful for the future of readers should they pursue a research career or engineering in formal methods.