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| cheap computer science masters: Graduate STEM Education for the 21st Century National Academies of Sciences, Engineering, and Medicine, Policy and Global Affairs, Board on Higher Education and Workforce, Committee on Revitalizing Graduate STEM Education for the 21st Century, 2018-09-21 The U.S. system of graduate education in science, technology, engineering, and mathematics (STEM) has served the nation and its science and engineering enterprise extremely well. Over the course of their education, graduate students become involved in advancing the frontiers of discovery, as well as in making significant contributions to the growth of the U.S. economy, its national security, and the health and well-being of its people. However, continuous, dramatic innovations in research methods and technologies, changes in the nature and availability of work, shifts in demographics, and expansions in the scope of occupations needing STEM expertise raise questions about how well the current STEM graduate education system is meeting the full array of 21st century needs. Indeed, recent surveys of employers and graduates and studies of graduate education suggest that many graduate programs do not adequately prepare students to translate their knowledge into impact in multiple careers. Graduate STEM Education for the 21st Century examines the current state of U.S. graduate STEM education. This report explores how the system might best respond to ongoing developments in the conduct of research on evidence-based teaching practices and in the needs and interests of its students and the broader society it seeks to serve. This will be an essential resource for the primary stakeholders in the U.S. STEM enterprise, including federal and state policymakers, public and private funders, institutions of higher education, their administrators and faculty, leaders in business and industry, and the students the system is intended to educate. |
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| cheap computer science masters: Data Structures and Algorithm Analysis in Java, Third Edition Clifford A. Shaffer, 2012-09-06 Comprehensive treatment focuses on creation of efficient data structures and algorithms and selection or design of data structure best suited to specific problems. This edition uses Java as the programming language. |
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| cheap computer science masters: Computer Science Distilled Wladston Ferreira Filho, 2017-01-17 A walkthrough of computer science concepts you must know. Designed for readers who don't care for academic formalities, it's a fast and easy computer science guide. It teaches the foundations you need to program computers effectively. After a simple introduction to discrete math, it presents common algorithms and data structures. It also outlines the principles that make computers and programming languages work. |
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| cheap computer science masters: Data Privacy and Security J. J. P. Kenny, 1985 |
| cheap computer science masters: The Elements of Computing Systems Noam Nisan, Shimon Schocken, 2008 This title gives students an integrated and rigorous picture of applied computer science, as it comes to play in the construction of a simple yet powerful computer system. |
| cheap computer science masters: Mama, PhD Elrena Evans, Caroline Grant, 2008 Every year, American universities publish glowing reports stating their commitment to diversity, often showing statistics of female hires as proof of success. Yet, although women make up increasing numbers of graduate students, graduate degree recipients, and even new hires, academic life remains overwhelming a man's world. The reality that the statistics fail to highlight is that the presence of women, specifically those with children, in the ranks of tenured faculty has not increased in a generation. Further, those women who do achieve tenure track placement tend to report slow advancement, income disparity, and lack of job satisfaction compared to their male colleagues. Amid these disadvantages, what is a Mama, PhD to do? This literary anthology brings together a selection of deeply felt personal narratives by smart, interesting women who explore the continued inequality of the sexes in higher education and suggest changes that could make universities more family-friendly workplaces. The contributors hail from a wide array of disciplines and bring with them a variety of perspectives, including those of single and adoptive parents. They address topics that range from the level of policy to practical day-to-day concerns, including caring for a child with special needs, breastfeeding on campus, negotiating viable maternity and family leave policies, job-sharing and telecommuting options, and fitting into desk/chair combinations while eight months pregnant. Candid, provocative, and sometimes with a wry sense of humor, the thirty-five essays in this anthology speak to and offer support for any woman attempting to combine work and family, as well as anyone who is interested in improving the university's ability to live up to its reputation to be among the most progressive of American institutions. |
| cheap computer science masters: Think Stats Allen B. Downey, 2011-07-01 If you know how to program, you have the skills to turn data into knowledge using the tools of probability and statistics. This concise introduction shows you how to perform statistical analysis computationally, rather than mathematically, with programs written in Python. You'll work with a case study throughout the book to help you learn the entire data analysis process—from collecting data and generating statistics to identifying patterns and testing hypotheses. Along the way, you'll become familiar with distributions, the rules of probability, visualization, and many other tools and concepts. Develop your understanding of probability and statistics by writing and testing code Run experiments to test statistical behavior, such as generating samples from several distributions Use simulations to understand concepts that are hard to grasp mathematically Learn topics not usually covered in an introductory course, such as Bayesian estimation Import data from almost any source using Python, rather than be limited to data that has been cleaned and formatted for statistics tools Use statistical inference to answer questions about real-world data |
| cheap computer science masters: Mechanism Analysis Lyndon O. Barton, 2016-04-19 This updated and enlarged Second Edition provides in-depth, progressive studies of kinematic mechanisms and offers novel, simplified methods of solving typical problems that arise in mechanisms synthesis and analysis - concentrating on the use of algebra and trigonometry and minimizing the need for calculus.;It continues to furnish complete coverag |
| cheap computer science masters: Java Programming Fundamentals Premchand S. Nair, 2008-11-20 While Java texts are plentiful, it's difficult to find one that takes a real-world approach, and encourages novice programmers to build on their Java skills through practical exercise. Written by an expert with 19 experience teaching computer programming, Java Programming Fundamentals presents object-oriented programming by employing examples taken |
| cheap computer science masters: Build a Career in Data Science Emily Robinson, Jacqueline Nolis, 2020-03-24 Summary You are going to need more than technical knowledge to succeed as a data scientist. Build a Career in Data Science teaches you what school leaves out, from how to land your first job to the lifecycle of a data science project, and even how to become a manager. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology What are the keys to a data scientist’s long-term success? Blending your technical know-how with the right “soft skills” turns out to be a central ingredient of a rewarding career. About the book Build a Career in Data Science is your guide to landing your first data science job and developing into a valued senior employee. By following clear and simple instructions, you’ll learn to craft an amazing resume and ace your interviews. In this demanding, rapidly changing field, it can be challenging to keep projects on track, adapt to company needs, and manage tricky stakeholders. You’ll love the insights on how to handle expectations, deal with failures, and plan your career path in the stories from seasoned data scientists included in the book. What's inside Creating a portfolio of data science projects Assessing and negotiating an offer Leaving gracefully and moving up the ladder Interviews with professional data scientists About the reader For readers who want to begin or advance a data science career. About the author Emily Robinson is a data scientist at Warby Parker. Jacqueline Nolis is a data science consultant and mentor. Table of Contents: PART 1 - GETTING STARTED WITH DATA SCIENCE 1. What is data science? 2. Data science companies 3. Getting the skills 4. Building a portfolio PART 2 - FINDING YOUR DATA SCIENCE JOB 5. The search: Identifying the right job for you 6. The application: Résumés and cover letters 7. The interview: What to expect and how to handle it 8. The offer: Knowing what to accept PART 3 - SETTLING INTO DATA SCIENCE 9. The first months on the job 10. Making an effective analysis 11. Deploying a model into production 12. Working with stakeholders PART 4 - GROWING IN YOUR DATA SCIENCE ROLE 13. When your data science project fails 14. Joining the data science community 15. Leaving your job gracefully 16. Moving up the ladder |
| cheap computer science masters: Student's Guide to Writing College Papers Kate L. Turabian, 2010-04-15 High school students, two-year college students, and university students all need to know how to write a well-reasoned, coherent research paper—and for decades Kate Turabian’s Student’s Guide to Writing College Papers has helped them to develop this critical skill. In the new fourth edition of Turabian’s popular guide, the team behind Chicago’s widely respected The Craft of Research has reconceived and renewed this classic for today’s generation. Designed for less advanced writers than Turabian’s Manual of Writers of Research Papers, Theses, and Dissertations, Seventh Edition, Gregory G. Colomb and Joseph M. Williams here introduce students to the art of defining a topic, doing high-quality research with limited resources, and writing an engaging and solid college paper. The Student’s Guide is organized into three sections that lead students through the process of developing and revising a paper. Part 1, Writing Your Paper, guides students through the research process with discussions of choosing and developing a topic, validating sources, planning arguments, writing drafts, avoiding plagiarism, and presenting evidence in tables and figures. Part 2, Citing Sources, begins with a succinct introduction to why citation is important and includes sections on the three major styles students might encounter in their work—Chicago, MLA, and APA—all with full coverage of electronic source citation. Part 3, Style, covers all matters of style important to writers of college papers, from punctuation to spelling to presenting titles, names, and numbers. With the authority and clarity long associated with the name Turabian, the fourth edition of Student’s Guide to Writing College Papers is both a solid introduction to the research process and a convenient handbook to the best practices of writing college papers. Classroom tested and filled with relevant examples and tips, this is a reference that students, and their teachers, will turn to again and again. |
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| cheap computer science masters: Internet Economics Lee W. McKnight, Joseph P. Bailey, 1998 The Internet has rapidly become an important element of the economic system. The lack of accepted metrics for economic analysis of Internet transactions is therefore increasingly problematic. This book, one of the first to bring together research on Internet engineering and economics, attempts to establish such metrics. The chapters, which developed out of a 1995 workshop held at MIT, include architectural models and analyses of Internet usage, as well as alternative pricing policies. The book is organized into six sections: 1) Introduction to Internet Economics, 2) The Economics of the Internet, 3) Interconnection and Multicast Economics, 4) Usage Sensitive Pricing, 5) Internet Commerce, and 6) Internet Economics and Policy. Contributors Loretta Anania, Joseph P. Bailey, Nevil Brownlee, David Carver, David Clark, David W. Crawford, Ketil Danielsen, Deborah Estrin, Branko Gerovac, David Gingold, Jiong Gong, Alok Gupta, Shai Herzog, Clark Johnson, Martyne M. Hallgren, Frank P. Kelly, Charlie Lai, Alan K. McAdams, Jeffrey K. MacKie-Mason, Lee W. McKnight, Gennady Medvinsky, Liam Murphy, John Murphy, B. Clifford Neuman, Jon M. Peha, Joseph Reagle, Mitrabarun Sarkar, Scott Shenker, Marvin A. Sirbu, Richard Jay Solomon, Padmanabhan Srinagesh, Dale O. Stahl, Hal R. Varian, Qiong Wang, Martin Weiss, Andrew B. Whinston |
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| cheap computer science masters: Psychology Applied to Teaching Robert Frederick Biehler, 1971 |
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