Math in Society is a survey of contemporary mathematical topics, appropriate for a college-level topics course for liberal arts major, or as a general quantitative reasoning course.This book is an open textbook; it can be read free online at http://www.opentextbookstore.com/mathinsociety/. Editable versions of the chapters are available as well.
Updated in its 3rd edition, Basic Methods of Policy Analysis and Planning presents quickly applied methods for analyzing and resolving planning and policy issues at state, regional, and urban levels. Divided into two parts, Methods which presents quick methods in nine chapters and is organized around the steps in the policy analysis process, and Cases which presents seven policy cases, ranging in degree of complexity, the text provides readers with the resources they need for effective policy planning and analysis. Quantitative and qualitative methods are systematically combined to address policy dilemmas and urban planning problems. Readers and analysts utilizing this text gain comprehensive skills and background needed to impact public policy.
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
The purpose of this Open Access compendium, written by experienced researchers in mathematics education, is to serve as a resource for early career researchers in furthering their knowledge of the state of the field and disseminating their research through publishing. To accomplish this, the book is split into four sections: Empirical Methods, Important Mathematics Education Themes, Academic Writing and Academic Publishing, and a section Looking Ahead. The chapters are based on workshops that were presented in the Early Career Researcher Day at the 13th International Congress on Mathematical Education (ICME-13). The combination of presentations on methodological approaches and theoretical perspectives shaping the field in mathematics education research, as well as the strong emphasis on academic writing and publishing, offered strong insight into the theoretical and empirical bases of research in mathematics education for early career researchers in this field. Based on these presentations, the book provides a state-of-the-art overview of important theories from mathematics education and the broad variety of empirical approaches currently widely used in mathematics education research. This compendium supports early career researchers in selecting adequate theoretical approaches and adopting the most appropriate methodological approaches for their own research. Furthermore, it helps early career researchers in mathematics education to avoid common pitfalls and problems while writing up their research and it provides them with an overview of the most important journals for research in mathematics education, helping them to select the right venue for publishing and disseminating their work.
Have you ever glanced around to realize you're the only woman in the room? Does a small voice in your head whisper you don't belong? Do you fear for your daughter in math and science? The research says female students and professionals in STEM - Science, Technology, Engineering and Math - are angry, frustrated and discouraged. No one knows these swirling emotions better than engineering psychologist Dr. Melanie Polkosky, who worked for over a decade in the STEM field where women are most underrepresented. In Uncovering Truffles, Polkosky examines the underlying reasons girls shy away from math and science and over half of female professionals leave their careers before the age of 40. Following a review of cutting-edge cognitive-neuroscience research and mythological perspectives on femininity, Polkosky offers twenty practical lessons to uncover the priceless value of women who integrate their masculine and feminine aspects, along with a hopeful vision for the future of inclusive work. Uncovering Truffles combines searing memoir with tools and inspiration that encourage women to design engaging and meaningful careers, increase gender diversity and establish supportive, healthy workplaces. Written with wisdom and startling honesty, Polkosky offers a clarion call to action for any forward-thinking individual who believes STEM, and business in general, can be a mechanism for serving humanity's greater good.
Since the creation of the National Cooperative Educational Statistics System in 1988, states have joined with the National Center for Education Statistics to produce and maintain comparable and uniform education statistics. Through the National Forum on Education Statistics, states have met to develop and propose a set of basic data elements for voluntary use. Using these data elements will provide more comparable and reliable education information for any educational system adopting the common terminology. The basic data elements will not meet every education information purpose, but a set of basic data elements should help answer the most frequently asked questions about the administration, status, quality, operation, and performance of schools and school systems. This report presents a process for selecting and including new data elements in an information system and the student and staff elements that can be used to create information for conducting the day-to-day administration of schools and school districts; completing federal and state reports, and creating indicators that address questions about the success and functioning of education systems. The basic data elements selected for student information systems are grouped into categories of: (1) personal information; (2) enrollment; (3) school participation and activities; (4) assessment; (5) transportation; (6) health conditions, special program participation, and student support services; and (7) discipline. Similar elements defined for staff information systems include personal information, educational background, qualification information, current employment, assignments, and information on career development and separation from employment. An appendix contains discussions of policy questions, indicators, and basic data elements. (SLD)
A Step-by-Step Guide to Showing the Value of Soft Skill Programs As organizations rise to meet the challenges of technological innovation, globalization, changing customer needs and perspectives, demographic shifts, and new work arrangements, their mastery of soft skills will likely be the defining difference between thriving and merely surviving. Yet few executives champion the expenditure of resources to develop these critical skills. Why is that and what can be done to change this thinking? For years, managers convinced executives that soft skills could not be measured and that the value of these programs should be taken on faith. Executives no longer buy that argument but demand the same financial impact and accountability from these functions as they do from all other areas of the organization. In Proving the Value of Soft Skills, measurement and evaluation experts Patti Phillips, Jack Phillips, and Rebecca Ray contend that efforts can and should be made to demonstrate the effect of soft skills. They also claim that a proven methodology exists to help practitioners articulate those effects so that stakeholders’ hearts and minds are shifted toward securing support for future efforts. This book reveals how to use the ROI Methodology to clearly show the impact and ROI of soft skills programs. The authors guide readers through an easy-to-apply process that includes: business alignment design evaluation data collection isolation of the program effects cost capture ROI calculations results communication. Use this book to align your programs with organizational strategy, justify or enhance budgets, and build productive business partnerships. Included are job aids, sample plans, and detailed case studies.
Exam board: Cambridge Assessment International Education Level: A-level Subject: Mathematics First teaching: September 2018 First exams: Summer 2020 Endorsed by Cambridge Assessment International Education to provide full support for Paper 5 of the syllabus for examination from 2020. Take mathematical understanding to the next level with this accessible series, written by experienced authors, examiners and teachers. - Improve confidence as a mathematician with clear explanations, worked examples, diverse activities and engaging discussion points. - Advance problem-solving, interpretation and communication skills through a wealth of questions that promote higher-order thinking. - Prepare for further study or life beyond the classroom by applying mathematics to other subjects and modelling real-world situations. - Reinforce learning with opportunities for digital practice via links to the Mathematics in Education and Industry's (MEI) Integral platform in the Boost eBook.* *To have full access to the eBook and Integral resources you must be subscribed to both Boost and Integral. To trial our eBooks and/or subscribe to Boost, visit: www.hoddereducation.com/Boost; to view samples of the Integral resources and/or subscribe to Integral, visit integralmaths.org/international Please note that the Integral resources have not been through the Cambridge International endorsement process. This book covers the syllabus content for Probability and Statistics 1, including representation of data, permutations and combinations, probability, discrete random variables and the normal distribution.