Brilliant introduction to keirseyan temperament theory, with tables, graphics and clear explanations to make it more straightforward. Not fully comprehensive, but a superb overview for someone wanting to learn about this topic without reading a lengthy book.
As individuals, we are each complex and adaptable, and one's behavior may not reflect natural preferences but rather the demands of the situation and the ways one has developed. This Quick Guide to the 16 Personality Types and Teams is a booklet for those who want to maximize the performance of their team through a better understanding of the interrelated influences on team dynamics and team success. It is written to help create a multidimensional awareness of one's contributions to a team and to give readers the tools to understand the talents, contributions, and perspectives of others. This booklet describes the sixteen personality types within each of the Team Essentials, including how th...
“Using interactive checklists, you will identify your learning style and preferences. Tips customized to your learning style will help you choose what, when, how and where to learn. ... You will see how to adapt to different learning settings, especially those that don't suit your preferences. Leaders, coaches, trainers, and teachers will find practical tips for customizing and enhancing their interventions.” - cover.
This volume helps take some of the "mystery" out of identifying and dealing with key algorithms. Drawing heavily on the author's own real-world experiences, the book stresses design and analysis. Coverage is divided into two parts, the first being a general guide to techniques for the design and analysis of computer algorithms. The second is a reference section, which includes a catalog of the 75 most important algorithmic problems. By browsing this catalog, readers can quickly identify what the problem they have encountered is called, what is known about it, and how they should proceed if they need to solve it. This book is ideal for the working professional who uses algorithms on a daily basis and has need for a handy reference. This work can also readily be used in an upper-division course or as a student reference guide.THE ALGORITHM DESIGN MANUAL comes with a CD-ROM that contains:* a complete hypertext version of the full printed book.* the source code and URLs for all cited implementations.* over 30 hours of audio lectures on the design and analysis of algorithms are provided, all keyed to on-line lecture notes.
“Examines what people must do to successful navigate change and provides strategies and tools to assist.” The booklet then introduces temperament theory and “delves into differences in the way each temperament tends to experience and react to change. With these individual differences in mind, readers can recognize more specifically what they need to make a change occur as smoothly as possible.” - page 1.
"Introduction to Computational Science" was developed over a period of two years at the University of Utah Department of Computer Science in conjunction with the U.S. Department of Energy-funded Undergraduate Computation in Engineering Science (UCES) program. Each chapter begins by introducing a problem and then guiding the student through its solution. The computational techniques needed to solve the problem are developed as necassary, making the motivation for learning the computing alwasy apparent. Each chapter will introduce a single problem that will be used to motivate a single computing concept. The notes currently consist of 15 chapters. The first seven chapters deal with Maple and the last eight with C. The textbook will contain 20 to 30 chapters covering a similar mix of concepts at a finer level of detail.
Accompanying the book, as with all TELOS sponsored publications, is an electronic component. In this case it is a DOS-Diskette produced by one of the coauthors, Paul Wellin. This diskette consists of Mathematica notebooks and packages which contain the codes for all examples and exercises in the book, as well as additional materials intended to extend many ideas covered in the text. It is of great value to teachers, students, and others using this book to learn how to effectively program with Mathematica .
The study of natural phenomena using computer simulation is a major new research tool in the physical, chemical, biological and social sciences. It is useful for studying simple systems, and it is essential for the study of complex systems. Using Mathematica, an integrated software environment for scientific programming, numerical analysis and visualization, this book describes computer simulations applicable to a wide range of phenomena.
Providing explanations of the importance and origins of hard problems whose explanations are usually difficult to find in the modern literature, this helpful guide also includes actual code for difficult algorithms. It focuses on solutions to problems, rather than problem posing.