Streamlined ID presents a focused and generalizable approach to instructional design and development – one that addresses the needs of ID novices as well as practitioners in a variety of career environments. Highlighting essentials and big ideas, this guide advocates a streamlined approach to instructional design: producing instruction that is sustainable, optimized, appropriately redundant, and targeted at continuous improvement. The book’s enhanced version of the classic ADDIE model (Analysis, Design, Development, Implementation, and Evaluation) emphasizes the iterative nature of design and the role of evaluation throughout the design/development process. It clearly lays out a systematic approach that emphasizes the use of research-based theories, while acknowledging the need to customize the process to accommodate a variety of pedagogical approaches. This thoroughly revised second edition reflects recent advances and changes in the field, adds three new chapters, updates reference charts, job aids, and tips to support practitioners working in a variety of career environments, and speaks more clearly than ever to ID novices and graduate students.

“The Business Process Improvement methodology established by Dr. H. James Harrington and his group brings revolutionary improvement not only in quality of products and services, but also in the business processes.” —Professor Yoshio Kondo The Book That Goes Beyond Six Sigma and Lean . . . The Next Evolutionary Step in Business Process Management “Don’t design for Six Sigma—design for maximum performance.” H. James Harrington How would you like to streamline your operations, lower your costs, improve your quality, and increase your profits—all at the same time? It’s not an impossible dream. It’s the next evolutionary breakthrough in process improvement that goes beyond Process Reengineering, TRIZ, Six Sigma, and Lean to deliver actual, quantifiable results. And now it’s yours. Streamlined Process Improvement (SPI) is the powerful new program developed by H. James Harrington. After 40 years of improving processes for IBM, Ernst & Young, the Chinese government, and many other private and governmental organizations, Harrington has become the go-to leader in the field. His revolutionary guide shows you how to: Discover the latest process tools—to make faster, more dramatic improvements using the revolutionary PASIC improvement methodology Use walk-through questionnaires and checklists—to streamline your job, resulting in optimum value to your stakeholders Use the newest methodologies—including simulation modeling, risk analysis, Five Ss, Process Innovation, Information Technology, Lean, and Six Sigma—to take your business to the next level Increase innovation—to drive growth and profits for many years to come Harrington’s groundbreaking system is organized and explained step by step to help you achieve maximum results with a minimum of stress. His simple PASIC approach shows you how to Plan, Analyze, Streamline, Implement, and Continuously Improve throughout the entire process. He walks you through the basics of how to analyze each process, how to decide which to focus on first, and how to prepare for organizational change. You’ll be surprised by just how quickly you can make things run more efficiently and effectively. With Harrington’s proven techniques, you can sell your products and services at a lower price, satisfy your customers, make work more enjoyable for your employees, and still earn greater profits than your competitors. This powerful process guide is the definitive handbook for operations managers, quality consultants, Six Sigma practitioners, knowledge workers, and Lean thinkers for a new generation.

"This book is both a snapshot of streaming media in higher education as it is today and a window into the many developments already underway, forecasting of areas yet to be developed"-- Provided by publisher.

Before you can build analytics tools to gain quick insights, you first need to know how to process data in real time. With this practical guide, developers familiar with Apache Spark will learn how to put this in-memory framework to use for streaming data. You’ll discover how Spark enables you to write streaming jobs in almost the same way you write batch jobs. Authors Gerard Maas and François Garillot help you explore the theoretical underpinnings of Apache Spark. This comprehensive guide features two sections that compare and contrast the streaming APIs Spark now supports: the original Spark Streaming library and the newer Structured Streaming API. Learn fundamental stream processing concepts and examine different streaming architectures Explore Structured Streaming through practical examples; learn different aspects of stream processing in detail Create and operate streaming jobs and applications with Spark Streaming; integrate Spark Streaming with other Spark APIs Learn advanced Spark Streaming techniques, including approximation algorithms and machine learning algorithms Compare Apache Spark to other stream processing projects, including Apache Storm, Apache Flink, and Apache Kafka Streams

Forget the 10,000 hour rule— what if it’s possible to learn the basics of any new skill in 20 hours or less? Take a moment to consider how many things you want to learn to do. What’s on your list? What’s holding you back from getting started? Are you worried about the time and effort it takes to acquire new skills—time you don’t have and effort you can’t spare? Research suggests it takes 10,000 hours to develop a new skill. In this nonstop world when will you ever find that much time and energy? To make matters worse, the early hours of prac­ticing something new are always the most frustrating. That’s why it’s difficult to learn how to speak a new language, play an instrument, hit a golf ball, or shoot great photos. It’s so much easier to watch TV or surf the web . . . In The First 20 Hours, Josh Kaufman offers a systematic approach to rapid skill acquisition— how to learn any new skill as quickly as possible. His method shows you how to deconstruct com­plex skills, maximize productive practice, and remove common learning barriers. By complet­ing just 20 hours of focused, deliberate practice you’ll go from knowing absolutely nothing to performing noticeably well. Kaufman personally field-tested the meth­ods in this book. You’ll have a front row seat as he develops a personal yoga practice, writes his own web-based computer programs, teaches himself to touch type on a nonstandard key­board, explores the oldest and most complex board game in history, picks up the ukulele, and learns how to windsurf. Here are a few of the sim­ple techniques he teaches: Define your target performance level: Fig­ure out what your desired level of skill looks like, what you’re trying to achieve, and what you’ll be able to do when you’re done. The more specific, the better. Deconstruct the skill: Most of the things we think of as skills are actually bundles of smaller subskills. If you break down the subcompo­nents, it’s easier to figure out which ones are most important and practice those first. Eliminate barriers to practice: Removing common distractions and unnecessary effort makes it much easier to sit down and focus on deliberate practice. Create fast feedback loops: Getting accu­rate, real-time information about how well you’re performing during practice makes it much easier to improve. Whether you want to paint a portrait, launch a start-up, fly an airplane, or juggle flaming chain­saws, The First 20 Hours will help you pick up the basics of any skill in record time . . . and have more fun along the way.

This three volume set (CCIS 853-855) constitutes the proceedings of the 17th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2017, held in Cádiz, Spain, in June 2018. The 193 revised full papers were carefully reviewed and selected from 383 submissions. The papers are organized in topical sections on advances on explainable artificial intelligence; aggregation operators, fuzzy metrics and applications; belief function theory and its applications; current techniques to model, process and describe time series; discrete models and computational intelligence; formal concept analysis and uncertainty; fuzzy implication functions; fuzzy logic and artificial intelligence problems; fuzzy mathematical analysis and applications; fuzzy methods in data mining and knowledge discovery; fuzzy transforms: theory and applications to data analysis and image processing; imprecise probabilities: foundations and applications; mathematical fuzzy logic, mathematical morphology; measures of comparison and entropies for fuzzy sets and their extensions; new trends in data aggregation; pre-aggregation functions and generalized forms of monotonicity; rough and fuzzy similarity modelling tools; soft computing for decision making in uncertainty; soft computing in information retrieval and sentiment analysis; tri-partitions and uncertainty; decision making modeling and applications; logical methods in mining knowledge from big data; metaheuristics and machine learning; optimization models for modern analytics; uncertainty in medicine; uncertainty in Video/Image Processing (UVIP).

Swim better—and enjoy every lap—with Total Immersion, a guide to improving your swimming from an expert with more than thirty years of experience in the water. Terry Laughlin, the world’s #1 authority on swimming success, has made his unique approach even easier for anyone to master. Whether you’re an accomplished swimmer or have always found swimming to be a struggle, Total Immersion will show you that it’s mindful fluid movement—not athletic ability—that will turn you into an efficient swimmer. This new edition of the bestselling Total Immersion features: -A thoughtfully choreographed series of skill drills—practiced in the mindful spirit of yoga—that can help anyone swim more enjoyably -A holistic approach to becoming one with the water and to developing a swimming style that’s always comfortable -Simple but thorough guidance on how to improve fitness and form -A complementary land-and-water program for achieving a strong and supple body at any age Based on more than thirty years of teaching, coaching, and research, Total Immersion has dramatically improved the physical and mental experience of swimming for thousands of people of all ages and abilities.

The application of machine learning is growing exponentially into every branch of business and science, including medical science. This book presents the integration of machine learning (ML) and deep learning (DL) algorithms that can be applied in the healthcare sector to reduce the time required by doctors, radiologists, and other medical professionals for analyzing, predicting, and diagnosing the conditions with accurate results. The book offers important key aspects in the development and implementation of ML and DL approaches toward developing prediction tools and models and improving medical diagnosis. The contributors explore the recent trends, innovations, challenges, and solutions, as well as case studies of the applications of ML and DL in intelligent system-based disease diagnosis. The chapters also highlight the basics and the need for applying mathematical aspects with reference to the development of new medical models. Authors also explore ML and DL in relation to artificial intelligence (AI) prediction tools, the discovery of drugs, neuroscience, diagnosis in multiple imaging modalities, and pattern recognition approaches to functional magnetic resonance imaging images. This book is for students and researchers of computer science and engineering, electronics and communication engineering, and information technology; for biomedical engineering researchers, academicians, and educators; and for students and professionals in other areas of the healthcare sector. Presents key aspects in the development and the implementation of ML and DL approaches toward developing prediction tools, models, and improving medical diagnosis Discusses the recent trends, innovations, challenges, solutions, and applications of intelligent system-based disease diagnosis Examines DL theories, models, and tools to enhance health information systems Explores ML and DL in relation to AI prediction tools, discovery of drugs, neuroscience, and diagnosis in multiple imaging modalities Dr. K. Gayathri Devi is a Professor at the Department of Electronics and Communication Engineering, Dr. N.G.P Institute of Technology, Tamil Nadu, India. Dr. Kishore Balasubramanian is an Assistant Professor (Senior Scale) at the Department of EEE at Dr. Mahalingam College of Engineering & Technology, Tamil Nadu, India. Dr. Le Anh Ngoc is a Director of Swinburne Innovation Space and Professor in Swinburne University of Technology (Vietnam).