The Training Design Manual 2nd Edition

This workbook and the accompanying online resources provide a one-stop reference manual to designing and delivering a successful training course. Written in a practical and user-friendly style, The Training Design Manual provides both theory and practical exercises; guiding the reader through the total design process from start to finish. Theory and concepts are followed by practical application and a blend of text and graphics appeals to a wide range of learning styles. Accompanying online material includes design templates which the reader can use to record ideas as they progress through the book so that by the end, they will have a complete course design. Online supporting resources include dozens of activities, examples and templates.

This newly expanded and updated second edition of the best-selling classic continues to take the "mystery" out of designing algorithms, and analyzing their efficacy and efficiency. Expanding on the first edition, the book now serves as the primary textbook of choice for algorithm design courses while maintaining its status as the premier practical reference guide to algorithms for programmers, researchers, and students. The reader-friendly Algorithm Design Manual provides straightforward access to combinatorial algorithms technology, stressing design over analysis. The first part, Techniques, provides accessible instruction on methods for designing and analyzing computer algorithms. The second part, Resources, is intended for browsing and reference, and comprises the catalog of algorithmic resources, implementations and an extensive bibliography. NEW to the second edition: • Doubles the tutorial material and exercises over the first edition • Provides full online support for lecturers, and a completely updated and improved website component with lecture slides, audio and video • Contains a unique catalog identifying the 75 algorithmic problems that arise most often in practice, leading the reader down the right path to solve them • Includes several NEW "war stories" relating experiences from real-world applications • Provides up-to-date links leading to the very best algorithm implementations available in C, C++, and Java

This comprehensive companion volume to the bestselling ASTD Training and Development Handbook (Craig, ed.) helps trainers design classroom, self-study, or technology-based training programs. Delivering the latest information on how adults learn best and human performance technology, it shows trainers how to prepare lesson plans, create visual aids, and deliver highly memorable presentations.

If you are designing a training program for the first time, this practical book is for you. Part of ATD’s Training Basics series, it zeroes in on how to design successful training for the face-to-face or virtual classroom. It also serves as a guide for developing self-study training programs, such as online tutorials and workbooks. Internationally renowned workplace learning expert and educator Saul Carliner not only delves into the analysis and evaluation phases of training design—where most books stop—but also gives prominence to core competencies like materials development, marketing, and administration. Updated to reflect changes in training practices, this second edition helps instructional designers hone key training skills. Major additions include guidance on live virtual and online tutorials, completely new training programs, and tips for how to adjust design practice when working under stringent conditions. In this book you will learn: Best practices for designing and developing training programs in the real world. Tactics to successfully launch and run training programs you’ve designed. How to adjust design practices along three tiers of effort in platinum, silver, and bronze scenarios.

This engaging and clearly written textbook/reference provides a must-have introduction to the rapidly emerging interdisciplinary field of data science. It focuses on the principles fundamental to becoming a good data scientist and the key skills needed to build systems for collecting, analyzing, and interpreting data. The Data Science Design Manual is a source of practical insights that highlights what really matters in analyzing data, and provides an intuitive understanding of how these core concepts can be used. The book does not emphasize any particular programming language or suite of data-analysis tools, focusing instead on high-level discussion of important design principles. This easy-to-read text ideally serves the needs of undergraduate and early graduate students embarking on an “Introduction to Data Science” course. It reveals how this discipline sits at the intersection of statistics, computer science, and machine learning, with a distinct heft and character of its own. Practitioners in these and related fields will find this book perfect for self-study as well. Additional learning tools: Contains “War Stories,” offering perspectives on how data science applies in the real world Includes “Homework Problems,” providing a wide range of exercises and projects for self-study Provides a complete set of lecture slides and online video lectures at www.data-manual.com Provides “Take-Home Lessons,” emphasizing the big-picture concepts to learn from each chapter Recommends exciting “Kaggle Challenges” from the online platform Kaggle Highlights “False Starts,” revealing the subtle reasons why certain approaches fail Offers examples taken from the data science television show “The Quant Shop” (www.quant-shop.com)

Exercise Technique Manual for Resistance Training, Fourth Edition With HKPropel Online Video, explains 100 resistance training exercises with step-by-step instructions, photos, and online video demonstrations

Apply design principles to your classes, preparing them for reuse. You will use package design principles to create packages that are just right in terms of cohesion and coupling, and are user- and maintainer-friendly at the same time. The first part of this book walks you through the five SOLID principles that will help you improve the design of your classes. The second part introduces you to the best practices of package design, and covers both package cohesion principles and package coupling principles. Cohesion principles show you which classes should be put together in a package, when to split packages, and if a combination of classes may be considered a "package" in the first place. Package coupling principles help you choose the right dependencies and prevent wrong directions in the dependency graph of your packages. What You'll LearnApply the SOLID principles of class designDetermine if classes belong in the same packageKnow whether it is safe for packages to depend on each other Who This Book Is For Software developers with a broad range of experience in the field, who are looking for ways to reuse,share, and distribute their code

The 2nd Edition of The Spec Manual provides fashion professionals and students with a -comprehensive guide for measuring garments using standard industry practices. This textbook/workbook contains front and back view croquis for women, off sizes, men, juniors, and children; spec sheet templates; illustrated measurement points; and tables with measurement points. The 2nd Edition also features a companion CD-ROM with electronic resources such as spec sheets and a flats library. Users with either beginning or advanced digital skills will learn how to create computer-generated spec sheets.