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| coursera financial aid answers: Learning How to Learn Barbara Oakley, PhD, Terrence Sejnowski, PhD, Alistair McConville, 2018-08-07 A surprisingly simple way for students to master any subject--based on one of the world's most popular online courses and the bestselling book A Mind for Numbers A Mind for Numbers and its wildly popular online companion course Learning How to Learn have empowered more than two million learners of all ages from around the world to master subjects that they once struggled with. Fans often wish they'd discovered these learning strategies earlier and ask how they can help their kids master these skills as well. Now in this new book for kids and teens, the authors reveal how to make the most of time spent studying. We all have the tools to learn what might not seem to come naturally to us at first--the secret is to understand how the brain works so we can unlock its power. This book explains: Why sometimes letting your mind wander is an important part of the learning process How to avoid rut think in order to think outside the box Why having a poor memory can be a good thing The value of metaphors in developing understanding A simple, yet powerful, way to stop procrastinating Filled with illustrations, application questions, and exercises, this book makes learning easy and fun. |
| coursera financial aid answers: Python for Everybody Charles R. Severance, 2016-04-09 Python for Everybody is designed to introduce students to programming and software development through the lens of exploring data. You can think of the Python programming language as your tool to solve data problems that are beyond the capability of a spreadsheet.Python is an easy to use and easy to learn programming language that is freely available on Macintosh, Windows, or Linux computers. So once you learn Python you can use it for the rest of your career without needing to purchase any software.This book uses the Python 3 language. The earlier Python 2 version of this book is titled Python for Informatics: Exploring Information.There are free downloadable electronic copies of this book in various formats and supporting materials for the book at www.pythonlearn.com. The course materials are available to you under a Creative Commons License so you can adapt them to teach your own Python course. |
| coursera financial aid answers: Machine Learning in Finance Matthew F. Dixon, Igor Halperin, Paul Bilokon, 2020-07-01 This book introduces machine learning methods in finance. It presents a unified treatment of machine learning and various statistical and computational disciplines in quantitative finance, such as financial econometrics and discrete time stochastic control, with an emphasis on how theory and hypothesis tests inform the choice of algorithm for financial data modeling and decision making. With the trend towards increasing computational resources and larger datasets, machine learning has grown into an important skillset for the finance industry. This book is written for advanced graduate students and academics in financial econometrics, mathematical finance and applied statistics, in addition to quants and data scientists in the field of quantitative finance. Machine Learning in Finance: From Theory to Practice is divided into three parts, each part covering theory and applications. The first presents supervised learning for cross-sectional data from both a Bayesian and frequentist perspective. The more advanced material places a firm emphasis on neural networks, including deep learning, as well as Gaussian processes, with examples in investment management and derivative modeling. The second part presents supervised learning for time series data, arguably the most common data type used in finance with examples in trading, stochastic volatility and fixed income modeling. Finally, the third part presents reinforcement learning and its applications in trading, investment and wealth management. Python code examples are provided to support the readers' understanding of the methodologies and applications. The book also includes more than 80 mathematical and programming exercises, with worked solutions available to instructors. As a bridge to research in this emergent field, the final chapter presents the frontiers of machine learning in finance from a researcher's perspective, highlighting how many well-known concepts in statistical physics are likely to emerge as important methodologies for machine learning in finance. |
| coursera financial aid answers: The Great Upheaval Arthur Levine, Scott J. Van Pelt, 2021-09-14 How will America's colleges and universities adapt to remarkable technological, economic, and demographic change? The United States is in the midst of a profound transformation the likes of which hasn't been seen since the Industrial Revolution, when America's classical colleges adapted to meet the needs of an emerging industrial economy. Today, as the world shifts to an increasingly interconnected knowledge economy, the intersecting forces of technological innovation, globalization, and demographic change create vast new challenges, opportunities, and uncertainties. In this great upheaval, the nation's most enduring social institutions are at a crossroads. In The Great Upheaval, Arthur Levine and Scott Van Pelt examine higher and postsecondary education to see how it has changed to become what it is today—and how it might be refitted for an uncertain future. Taking a unique historical, cross-industry perspective, Levine and Van Pelt perform a 360-degree survey of American higher education. Combining historical, trend, and comparative analyses of other business sectors, they ask • how much will colleges and universities change, what will change, and how will these changes occur? • will institutions of higher learning be able to adapt to the challenges they face, or will they be disrupted by them? • will the industrial model of higher education be repaired or replaced? • why is higher education more important than ever? The book is neither an attempt to advocate for a particular future direction nor a warning about that future. Rather, it looks objectively at the contexts in which higher education has operated—and will continue to operate. It also seeks to identify likely developments that will aid those involved in steering higher education forward, as well as the many millions of Americans who have a stake in its future. Concluding with a detailed agenda for action, The Great Upheaval is aimed at policy makers, college administrators, faculty, trustees, and students, as well as general readers and people who work for nonprofits facing the same big changes. |
| coursera financial aid answers: Beyond Silicon Valley Michael Goldberg, 2018-04-21 In Beyond Silicon Valley: How One Online Course Helped Support Global Entrepreneurs, Professor Michael Goldberg takes readers on a global entrepreneurial adventure. He tells the stories of students who took his groundbreaking and hugely popular Beyond Silicon Valley massive open online course (MOOC), the most translated in Coursera history. To date, over 135,000 people have registered for Beyond Silicon Valley, and in this book, readers will meet nearly 20 students who started and grew their businesses, mentored other entrepreneurs, became innovation consultants, grew their entrepreneurial advocacy organizations, and more. These entrepreneurs live and work in transitioning economies throughout Europe, the Middle East, Asia, Africa, and the Americas. Goldberg also poignantly connects these startup struggles and successes to his hometown of Cleveland, Ohio, a region that is making a transition of its own. Join Goldberg as he inspires--and finds inspiration from--innovators and entrepreneurial supporters everywhere. |
| coursera financial aid answers: Investor Behavior H. Kent Baker, Victor Ricciardi, 2014-02-10 WINNER, Business: Personal Finance/Investing, 2015 USA Best Book Awards FINALIST, Business: Reference, 2015 USA Best Book Awards Investor Behavior provides readers with a comprehensive understanding and the latest research in the area of behavioral finance and investor decision making. Blending contributions from noted academics and experienced practitioners, this 30-chapter book will provide investment professionals with insights on how to understand and manage client behavior; a framework for interpreting financial market activity; and an in-depth understanding of this important new field of investment research. The book should also be of interest to academics, investors, and students. The book will cover the major principles of investor psychology, including heuristics, bounded rationality, regret theory, mental accounting, framing, prospect theory, and loss aversion. Specific sections of the book will delve into the role of personality traits, financial therapy, retirement planning, financial coaching, and emotions in investment decisions. Other topics covered include risk perception and tolerance, asset allocation decisions under inertia and inattention bias; evidenced based financial planning, motivation and satisfaction, behavioral investment management, and neurofinance. Contributions will delve into the behavioral underpinnings of various trading and investment topics including trader psychology, stock momentum, earnings surprises, and anomalies. The final chapters of the book examine new research on socially responsible investing, mutual funds, and real estate investing from a behavioral perspective. Empirical evidence and current literature about each type of investment issue are featured. Cited research studies are presented in a straightforward manner focusing on the comprehension of study findings, rather than on the details of mathematical frameworks. |
| coursera financial aid answers: Storytelling with Data Cole Nussbaumer Knaflic, 2015-10-09 Don't simply show your data—tell a story with it! Storytelling with Data teaches you the fundamentals of data visualization and how to communicate effectively with data. You'll discover the power of storytelling and the way to make data a pivotal point in your story. The lessons in this illuminative text are grounded in theory, but made accessible through numerous real-world examples—ready for immediate application to your next graph or presentation. Storytelling is not an inherent skill, especially when it comes to data visualization, and the tools at our disposal don't make it any easier. This book demonstrates how to go beyond conventional tools to reach the root of your data, and how to use your data to create an engaging, informative, compelling story. Specifically, you'll learn how to: Understand the importance of context and audience Determine the appropriate type of graph for your situation Recognize and eliminate the clutter clouding your information Direct your audience's attention to the most important parts of your data Think like a designer and utilize concepts of design in data visualization Leverage the power of storytelling to help your message resonate with your audience Together, the lessons in this book will help you turn your data into high impact visual stories that stick with your audience. Rid your world of ineffective graphs, one exploding 3D pie chart at a time. There is a story in your data—Storytelling with Data will give you the skills and power to tell it! |
| coursera financial aid answers: Bioinformatics Algorithms Phillip Compeau, Pavel Pevzner, 1986-06 Bioinformatics Algorithms: an Active Learning Approach is one of the first textbooks to emerge from the recent Massive Online Open Course (MOOC) revolution. A light-hearted and analogy-filled companion to the authors' acclaimed online course (http://coursera.org/course/bioinformatics), this book presents students with a dynamic approach to learning bioinformatics. It strikes a unique balance between practical challenges in modern biology and fundamental algorithmic ideas, thus capturing the interest of students of biology and computer science students alike.Each chapter begins with a central biological question, such as Are There Fragile Regions in the Human Genome? or Which DNA Patterns Play the Role of Molecular Clocks? and then steadily develops the algorithmic sophistication required to answer this question. Hundreds of exercises are incorporated directly into the text as soon as they are needed; readers can test their knowledge through automated coding challenges on Rosalind (http://rosalind.info), an online platform for learning bioinformatics.The textbook website (http://bioinformaticsalgorithms.org) directs readers toward additional educational materials, including video lectures and PowerPoint slides. |
| coursera financial aid answers: Fundamentals of Financial Accounting Fred Phillips, Robert Libby, Patricia A. Libby, 2011-01 |
| coursera financial aid answers: The Model Thinker Scott E. Page, 2018-11-27 Work with data like a pro using this guide that breaks down how to organize, apply, and most importantly, understand what you are analyzing in order to become a true data ninja. From the stock market to genomics laboratories, census figures to marketing email blasts, we are awash with data. But as anyone who has ever opened up a spreadsheet packed with seemingly infinite lines of data knows, numbers aren't enough: we need to know how to make those numbers talk. In The Model Thinker, social scientist Scott E. Page shows us the mathematical, statistical, and computational models—from linear regression to random walks and far beyond—that can turn anyone into a genius. At the core of the book is Page's many-model paradigm, which shows the reader how to apply multiple models to organize the data, leading to wiser choices, more accurate predictions, and more robust designs. The Model Thinker provides a toolkit for business people, students, scientists, pollsters, and bloggers to make them better, clearer thinkers, able to leverage data and information to their advantage. |
| coursera financial aid answers: Reservoir Geomechanics Mark D. Zoback, 2010-04-01 This interdisciplinary book encompasses the fields of rock mechanics, structural geology and petroleum engineering to address a wide range of geomechanical problems that arise during the exploitation of oil and gas reservoirs. It considers key practical issues such as prediction of pore pressure, estimation of hydrocarbon column heights and fault seal potential, determination of optimally stable well trajectories, casing set points and mud weights, changes in reservoir performance during depletion, and production-induced faulting and subsidence. The book establishes the basic principles involved before introducing practical measurement and experimental techniques to improve recovery and reduce exploitation costs. It illustrates their successful application through case studies taken from oil and gas fields around the world. This book is a practical reference for geoscientists and engineers in the petroleum and geothermal industries, and for research scientists interested in stress measurements and their application to problems of faulting and fluid flow in the crust. |
| coursera financial aid answers: Introduction to Financial Accounting Andrew Thomas, Anne Marie Ward, 2012 The new seventh edition of 'Introduction to Financial Accounting' has been fully revised and updated to reflect the very latest developments in this dynamic field and offers contemporary and comprehensive coverage of Financial Accounting today. |
| coursera financial aid answers: Introduction to Information Retrieval Christopher D. Manning, Prabhakar Raghavan, Hinrich Schütze, 2008-07-07 Class-tested and coherent, this textbook teaches classical and web information retrieval, including web search and the related areas of text classification and text clustering from basic concepts. It gives an up-to-date treatment of all aspects of the design and implementation of systems for gathering, indexing, and searching documents; methods for evaluating systems; and an introduction to the use of machine learning methods on text collections. All the important ideas are explained using examples and figures, making it perfect for introductory courses in information retrieval for advanced undergraduates and graduate students in computer science. Based on feedback from extensive classroom experience, the book has been carefully structured in order to make teaching more natural and effective. Slides and additional exercises (with solutions for lecturers) are also available through the book's supporting website to help course instructors prepare their lectures. |
| coursera financial aid answers: The Johns Hopkins Guide to Psychological First Aid George S. Everly Jr., Jeffrey M. Lating, 2022-08-02 Psychological first aid (PFA) is designed to mitigate the effects of acute stress and trauma and assist those in crisis to cope effectively with adversity. The second edition of this essential guide describes the principles and practices underpinning the evidence-informed and evidence-based Johns Hopkins RAPID-PFA model in an easy-to-follow, prescriptive, and practical manner-- |
| coursera financial aid answers: The College Conversation Eric J. Furda, Jacques Steinberg, 2021-09-21 From an Ivy League dean and a college admissions expert, a guide to help parents support their children as they navigate their way to college The College Conversation is a comprehensive resource for mapping the path through the college application process that provides practical advice and reassurance to keep both anxious parents and confused children sane and grounded. Rather than adding to the existing canon of How to Get In college guides or rankings, Eric Furda and Jacques Steinberg provide a step-by-step approach to having the tough conversations on this topic with less stress and more success. The book is organized around key discussions and themes that trace the chronological arc of admissions and financial aid--beginning before the assembly of a list of potential colleges and continuing through the receipt of decisions--with a final section that includes advice on the first year of college. The topics include preliminary conversations about the search, and specifically how parents can think about their children's interests and what kind of college would best suit them; choosing a college (based on its curriculum, culture, and community); writing the most effective essays; assessing acceptances, including considerations of finances and aid; and making the transition from high school to college life. The College Conversation will provide parents, students, and counselors with the credible, level-headed information often missing in this process, as well as a much-needed dash of perspective borne of experience. |
| coursera financial aid answers: Everything Bad is Good for You Steven Johnson, 2006-05-02 From the New York Times bestselling author of How We Got To Now and Farsighted Forget everything you’ve ever read about the age of dumbed-down, instant-gratification culture. In this provocative, unfailingly intelligent, thoroughly researched, and surprisingly convincing big idea book, Steven Johnson draws from fields as diverse as neuroscience, economics, and media theory to argue that the pop culture we soak in every day—from Lord of the Rings to Grand Theft Auto to The Simpsons—has been growing more sophisticated with each passing year, and, far from rotting our brains, is actually posing new cognitive challenges that are actually making our minds measurably sharper. After reading Everything Bad is Good for You, you will never regard the glow of the video game or television screen the same way again. With a new afterword by the author. |
| coursera financial aid answers: Reinforcement Learning, second edition Richard S. Sutton, Andrew G. Barto, 2018-11-13 The significantly expanded and updated new edition of a widely used text on reinforcement learning, one of the most active research areas in artificial intelligence. Reinforcement learning, one of the most active research areas in artificial intelligence, is a computational approach to learning whereby an agent tries to maximize the total amount of reward it receives while interacting with a complex, uncertain environment. In Reinforcement Learning, Richard Sutton and Andrew Barto provide a clear and simple account of the field's key ideas and algorithms. This second edition has been significantly expanded and updated, presenting new topics and updating coverage of other topics. Like the first edition, this second edition focuses on core online learning algorithms, with the more mathematical material set off in shaded boxes. Part I covers as much of reinforcement learning as possible without going beyond the tabular case for which exact solutions can be found. Many algorithms presented in this part are new to the second edition, including UCB, Expected Sarsa, and Double Learning. Part II extends these ideas to function approximation, with new sections on such topics as artificial neural networks and the Fourier basis, and offers expanded treatment of off-policy learning and policy-gradient methods. Part III has new chapters on reinforcement learning's relationships to psychology and neuroscience, as well as an updated case-studies chapter including AlphaGo and AlphaGo Zero, Atari game playing, and IBM Watson's wagering strategy. The final chapter discusses the future societal impacts of reinforcement learning. |
| coursera financial aid answers: Algorithms Robert Sedgewick, Kevin Wayne, 2014-02-01 This book is Part I of the fourth edition of Robert Sedgewick and Kevin Wayne’s Algorithms, the leading textbook on algorithms today, widely used in colleges and universities worldwide. Part I contains Chapters 1 through 3 of the book. The fourth edition of Algorithms surveys the most important computer algorithms currently in use and provides a full treatment of data structures and algorithms for sorting, searching, graph processing, and string processing -- including fifty algorithms every programmer should know. In this edition, new Java implementations are written in an accessible modular programming style, where all of the code is exposed to the reader and ready to use. The algorithms in this book represent a body of knowledge developed over the last 50 years that has become indispensable, not just for professional programmers and computer science students but for any student with interests in science, mathematics, and engineering, not to mention students who use computation in the liberal arts. The companion web site, algs4.cs.princeton.edu contains An online synopsis Full Java implementations Test data Exercises and answers Dynamic visualizations Lecture slides Programming assignments with checklists Links to related material The MOOC related to this book is accessible via the Online Course link at algs4.cs.princeton.edu. The course offers more than 100 video lecture segments that are integrated with the text, extensive online assessments, and the large-scale discussion forums that have proven so valuable. Offered each fall and spring, this course regularly attracts tens of thousands of registrants. Robert Sedgewick and Kevin Wayne are developing a modern approach to disseminating knowledge that fully embraces technology, enabling people all around the world to discover new ways of learning and teaching. By integrating their textbook, online content, and MOOC, all at the state of the art, they have built a unique resource that greatly expands the breadth and depth of the educational experience. |
| coursera financial aid answers: College Success Amy Baldwin, 2020-03 |
| coursera financial aid answers: Negotiating for Success: Essential Strategies and Skills George J. Siedel, 2014-10-04 We all negotiate on a daily basis. We negotiate with our spouses, children, parents, and friends. We negotiate when we rent an apartment, buy a car, purchase a house, and apply for a job. Your ability to negotiate might even be the most important factor in your career advancement. Negotiation is also the key to business success. No organization can survive without contracts that produce profits. At a strategic level, businesses are concerned with value creation and achieving competitive advantage. But the success of high-level business strategies depends on contracts made with suppliers, customers, and other stakeholders. Contracting capability—the ability to negotiate and perform successful contracts—is the most important function in any organization. This book is designed to help you achieve success in your personal negotiations and in your business transactions. The book is unique in two ways. First, the book not only covers negotiation concepts, but also provides practical actions you can take in future negotiations. This includes a Negotiation Planning Checklist and a completed example of the checklist for your use in future negotiations. The book also includes (1) a tool you can use to assess your negotiation style; (2) examples of “decision trees,” which are useful in calculating your alternatives if your negotiation is unsuccessful; (3) a three-part strategy for increasing your power during negotiations; (4) a practical plan for analyzing your negotiations based on your reservation price, stretch goal, most-likely target, and zone of potential agreement; (5) clear guidelines on ethical standards that apply to negotiations; (6) factors to consider when deciding whether you should negotiate through an agent; (7) psychological tools you can use in negotiations—and traps to avoid when the other side uses them; (8) key elements of contract law that arise during negotiations; and (9) a checklist of factors to use when you evaluate your performance as a negotiator. Second, the book is unique in its holistic approach to the negotiation process. Other books often focus narrowly either on negotiation or on contract law. Furthermore, the books on negotiation tend to focus on what happens at the bargaining table without addressing the performance of an agreement. These books make the mistaken assumption that success is determined by evaluating the negotiation rather than evaluating performance of the agreement. Similarly, the books on contract law tend to focus on the legal requirements for a contract to be valid, thus giving short shrift to the negotiation process that precedes the contract and to the performance that follows. In the real world, the contracting process is not divided into independent phases. What happens during a negotiation has a profound impact on the contract and on the performance that follows. The contract’s legal content should reflect the realities of what happened at the bargaining table and the performance that is to follow. This book, in contrast to others, covers the entire negotiation process in chronological order beginning with your decision to negotiate and continuing through the evaluation of your performance as a negotiator. A business executive in one of the negotiation seminars the author teaches as a University of Michigan professor summarized negotiation as follows: “Life is negotiation!” No one ever stated it better. As a mother with young children and as a company leader, the executive realized that negotiations are pervasive in our personal and business lives. With its emphasis on practical action, and with its chronological, holistic approach, this book provides a roadmap you can use when navigating through your life as a negotiator. |
| coursera financial aid answers: Principles and Practice of Clinical Research John I. Gallin, Frederick P Ognibene, 2011-04-28 The second edition of this innovative work again provides a unique perspective on the clinical discovery process by providing input from experts within the NIH on the principles and practice of clinical research. Molecular medicine, genomics, and proteomics have opened vast opportunities for translation of basic science observations to the bedside through clinical research. As an introductory reference it gives clinical investigators in all fields an awareness of the tools required to ensure research protocols are well designed and comply with the rigorous regulatory requirements necessary to maximize the safety of research subjects. Complete with sections on the history of clinical research and ethics, copious figures and charts, and sample documents it serves as an excellent companion text for any course on clinical research and as a must-have reference for seasoned researchers.*Incorporates new chapters on Managing Conflicts of Interest in Human Subjects Research, Clinical Research from the Patient's Perspective, The Clinical Researcher and the Media, Data Management in Clinical Research, Evaluation of a Protocol Budget, Clinical Research from the Industry Perspective, and Genetics in Clinical Research *Addresses the vast opportunities for translation of basic science observations to the bedside through clinical research*Delves into data management and addresses how to collect data and use it for discovery*Contains valuable, up-to-date information on how to obtain funding from the federal government |
| coursera financial aid answers: Blown to Bits Harold Abelson, Ken Ledeen, Harry R. Lewis, 2008 'Blown to Bits' is about how the digital explosion is changing everything. The text explains the technology, why it creates so many surprises and why things often don't work the way we expect them to. It is also about things the information explosion is destroying: old assumptions about who is really in control of our lives. |
| coursera financial aid answers: Fundamentals of Deep Learning Nikhil Buduma, Nicholas Locascio, 2017-05-25 With the reinvigoration of neural networks in the 2000s, deep learning has become an extremely active area of research, one that’s paving the way for modern machine learning. In this practical book, author Nikhil Buduma provides examples and clear explanations to guide you through major concepts of this complicated field. Companies such as Google, Microsoft, and Facebook are actively growing in-house deep-learning teams. For the rest of us, however, deep learning is still a pretty complex and difficult subject to grasp. If you’re familiar with Python, and have a background in calculus, along with a basic understanding of machine learning, this book will get you started. Examine the foundations of machine learning and neural networks Learn how to train feed-forward neural networks Use TensorFlow to implement your first neural network Manage problems that arise as you begin to make networks deeper Build neural networks that analyze complex images Perform effective dimensionality reduction using autoencoders Dive deep into sequence analysis to examine language Learn the fundamentals of reinforcement learning |
| coursera financial aid answers: Online Learning For Dummies Susan Manning, Kevin E. Johnson, 2020-10-15 Identify the best online program for you Get organized to succeed at learning at a distance Be the best learner you can be Get your best education online Whether you're a college student, adult learner, or professional in continuing education, some—and sometimes all—of your learning will happen in a virtual classroom. This book is your friendly guide to the fast-growing possibilities of this world, from choosing the right course and mastering the software to polishing up your online communication and study skills. Whatever you want from your study experience—school success, professional development, or just pursuing your passion—this is your road map to online educational success! Inside... Find the right course for you Prep successfully for classes Manage time online Apply for study funding Transfer credits Master the software Get the right hardware Develop online etiquette |
| coursera financial aid answers: Engineering Education 4.0 Sulamith Frerich, Tobias Meisen, Anja Richert, Marcus Petermann, Sabina Jeschke, Uwe Wilkesmann, A. Erman Tekkaya, 2017-04-12 This book presents a collection of results from the interdisciplinary research project “ELLI” published by researchers at RWTH Aachen University, the TU Dortmund and Ruhr-Universität Bochum between 2011 and 2016. All contributions showcase essential research results, concepts and innovative teaching methods to improve engineering education. Further, they focus on a variety of areas, including virtual and remote teaching and learning environments, student mobility, support throughout the student lifecycle, and the cultivation of interdisciplinary skills. |
| coursera financial aid answers: Emergency Triage Assessment and Treatment (ETAT) World Health Organization, 2005-10-25 The Manual for participants is also available separately (ISBN 9241546875) |
| coursera financial aid answers: The Psychology of Social Media Ciarán Mc Mahon, 2019-03-25 Are we really being ourselves on social media? Can we benefit from connecting with people we barely know online? Why do some people overshare on social networking sites? The Psychology of Social Media explores how so much of our everyday lives is played out online, and how this can impact our identity, wellbeing and relationships. It looks at how our online profiles, connections, status updates and sharing of photographs can be a way to express ourselves and form connections, but also highlights the pitfalls of social media including privacy issues. From FOMO to fraping, and from subtweeting to selfies, The Psychology of Social Media shows how social media has developed a whole new world of communication, and for better or worse is likely to continue to be an essential part of how we understand our selves. |
| coursera financial aid answers: C++ for C Programmers J. T. Kalnay, 2012-01-16 A textbook of C++ examples intended for C programmers. This book is not a starting point for new C++ programmers who do not know C. It is a transition tool for C programmers. |
| coursera financial aid answers: Open educational resources: policy, costs, transformation Miao, Fengchun, Mishra, Sanjaya, McGreal, Rory, 2016-04-18 |
| coursera financial aid answers: The Everything New Nurse Book Kathy Quan, 2006-03-13 As a new nurse, you're entering one of the most challenging and rewarding fields! Still, you may feel a little nervous about stepping into the brave new world of medical facilities. The Everything New Nurse Book addresses all your concerns and more. Covering the nation's top ten types of nursing, this comprehensive handbook concentrates on the issues that new nurses face every day on the job--from dealing with patients to juggling multiple responsibilities. Highlights include how to balance a hectic new schedule (for work AND sleep!); deal with the doctors' Old Boy Network; avoid illness yourself; continue your education while working at the same time; cope with the death of patients; and more. Written by Kathy Quan, a registered nurse with thirty years experience, The Everything New Nurse Book guides you through those first critical months on the job. If you want to know what to expect on your first day and beyond--this is the book for you! |
| coursera financial aid answers: Introduction to Mathematical Thinking Keith J. Devlin, 2012 Mathematical thinking is not the same as 'doing math'--unless you are a professional mathematician. For most people, 'doing math' means the application of procedures and symbolic manipulations. Mathematical thinking, in contrast, is what the name reflects, a way of thinking about things in the world that humans have developed over three thousand years. It does not have to be about mathematics at all, which means that many people can benefit from learning this powerful way of thinking, not just mathematicians and scientists.--Back cover. |
| coursera financial aid answers: Digital Copyright Jessica Litman, Professor Litman's work stands out as well-researched, doctrinally solid, and always piercingly well-written.-JANE GINSBURG, Morton L. Janklow Professor of Literary and Artistic Property, Columbia UniversityLitman's work is distinctive in several respects: in her informed historical perspective on copyright law and its legislative policy; her remarkable ability to translate complicated copyright concepts and their implications into plain English; her willingness to study, understand, and take seriously what ordinary people think copyright law means; and her creativity in formulating alternatives to the copyright quagmire. -PAMELA SAMUELSON, Professor of Law and Information Management; Director of the Berkeley Center for Law & Technology, University of California, BerkeleyIn 1998, copyright lobbyists succeeded in persuading Congress to enact laws greatly expanding copyright owners' control over individuals' private uses of their works. The efforts to enforce these new rights have resulted in highly publicized legal battles between established media and new upstarts.In this enlightening and well-argued book, law professor Jessica Litman questions whether copyright laws crafted by lawyers and their lobbyists really make sense for the vast majority of us. Should every interaction between ordinary consumers and copyright-protected works be restricted by law? Is it practical to enforce such laws, or expect consumers to obey them? What are the effects of such laws on the exchange of information in a free society?Litman's critique exposes the 1998 copyright law as an incoherent patchwork. She argues for reforms that reflect common sense and the way people actually behave in their daily digital interactions.This paperback edition includes an afterword that comments on recent developments, such as the end of the Napster story, the rise of peer-to-peer file sharing, the escalation of a full-fledged copyright war, the filing of lawsuits against thousands of individuals, and the June 2005 Supreme Court decision in the Grokster case.Jessica Litman (Ann Arbor, MI) is professor of law at Wayne State University and a widely recognized expert on copyright law. |
| coursera financial aid answers: Introduction to Deep Learning Using R Taweh Beysolow II, 2017-07-19 Understand deep learning, the nuances of its different models, and where these models can be applied. The abundance of data and demand for superior products/services have driven the development of advanced computer science techniques, among them image and speech recognition. Introduction to Deep Learning Using R provides a theoretical and practical understanding of the models that perform these tasks by building upon the fundamentals of data science through machine learning and deep learning. This step-by-step guide will help you understand the disciplines so that you can apply the methodology in a variety of contexts. All examples are taught in the R statistical language, allowing students and professionals to implement these techniques using open source tools. What You'll Learn Understand the intuition and mathematics that power deep learning models Utilize various algorithms using the R programming language and its packages Use best practices for experimental design and variable selection Practice the methodology to approach and effectively solve problems as a data scientist Evaluate the effectiveness of algorithmic solutions and enhance their predictive power Who This Book Is For Students, researchers, and data scientists who are familiar with programming using R. This book also is also of use for those who wish to learn how to appropriately deploy these algorithms in applications where they would be most useful. |
| coursera financial aid answers: Engineering Software as a Service Armando Fox, David A. Patterson, 2016 (NOTE: this Beta Edition may contain errors. See http://saasbook.info for details.) A one-semester college course in software engineering focusing on cloud computing, software as a service (SaaS), and Agile development using Extreme Programming (XP). This book is neither a step-by-step tutorial nor a reference book. Instead, our goal is to bring a diverse set of software engineering topics together into a single narrative, help readers understand the most important ideas through concrete examples and a learn-by-doing approach, and teach readers enough about each topic to get them started in the field. Courseware for doing the work in the book is available as a virtual machine image that can be downloaded or deployed in the cloud. A free MOOC (massively open online course) at saas-class.org follows the book's content and adds programming assignments and quizzes. See http://saasbook.info for details.(NOTE: this Beta Edition may contain errors. See http://saasbook.info for details.) A one-semester college course in software engineering focusing on cloud computing, software as a service (SaaS), and Agile development using Extreme Programming (XP). This book is neither a step-by-step tutorial nor a reference book. Instead, our goal is to bring a diverse set of software engineering topics together into a single narrative, help readers understand the most important ideas through concrete examples and a learn-by-doing approach, and teach readers enough about each topic to get them started in the field. Courseware for doing the work in the book is available as a virtual machine image that can be downloaded or deployed in the cloud. A free MOOC (massively open online course) at saas-class.org follows the book's content and adds programming assignments and quizzes. See http://saasbook.info for details. |
| coursera financial aid answers: Understanding Clinical Research Renato D. Lopes, Robert A. Harrington, 2013-05-22 A complete guide to understanding and applying clinical research results Ideal for both researchers and healthcare providers Understanding Clinical Research addresses both the operational challenges of clinical trials and the needs of clinicians to comprehend the nuances of research methods to accurately analyze study results. This timely resource covers all aspects of clinical trials--from study design and statistics to regulatory oversight--and it delivers a detailed yet streamlined overview of must-know research topics. The text features an accessible three-part organization that traces the evolution of clinical research and explains the bedrock principles and unique challenges of clinical experimentation and observational research. Reinforcing this content are real-life case examples--drawn from the authors' broad experience--that put chapter concepts into action and contribute to a working knowledge of integral research techniques. FEATURES: The most definitive guide to promoting excellence in clinical research, designed to empower healthcare providers to assess a study's strengths and weaknesses with confidence and apply this knowledge to optimize patient outcomes In-depth coverage of fundamental research methods and protocols from preeminent authorities provides readers with an instructive primer and a springboard for ongoing clinical research education Clear, comprehensive three-part organization: Section One: Evolution of Clinical Research offers a succinct history of clinical trials, drug regulations, and the role of the FDA while covering the impact of information technology and academic research organizations Section Two: Principles of Clinical Experimentation takes you through the typical phases of clinical trials in the development of medical products, from initial human subject research to postapproval surveillance studies Section Three: Observational Research highlights the underlying principles, pitfalls, and methods for case-control studies, cohort studies, registries, and subgroup analyses within randomized trials |
| coursera financial aid answers: Higher Education Opportunity Act United States, 2008 |
| coursera financial aid answers: Program Arcade Games Paul Craven, 2015-12-31 Learn and use Python and PyGame to design and build cool arcade games. In Program Arcade Games: With Python and PyGame, Second Edition, Dr. Paul Vincent Craven teaches you how to create fun and simple quiz games; integrate and start using graphics; animate graphics; integrate and use game controllers; add sound and bit-mapped graphics; and build grid-based games. After reading and using this book, you'll be able to learn to program and build simple arcade game applications using one of today's most popular programming languages, Python. You can even deploy onto Steam and other Linux-based game systems as well as Android, one of today's most popular mobile and tablet platforms. You'll learn: How to create quiz games How to integrate and start using graphics How to animate graphics How to integrate and use game controllers How to add sound and bit-mapped graphics How to build grid-based games Audience“div>This book assumes no prior programming knowledge. |
| coursera financial aid answers: Transformative Digital Technology for Disruptive Teaching and Learning P Kaliraj, G Singaravelu, T Devi, 2024-02-16 Generation Z students are avid gamers and are always on social media. Smart like their phones, they must be educated in a smart manner, which involves the use of digital tools. Transformative Digital Technology for Disruptive Teaching and Learning provides smart education solutions and details ways in which Gen Z learners can be educated. It covers such digital learning strategies as blended learning, flipped learning, mobile learning, and gamification. It examines creative teaching–learning strategies to encourage modern learners to learn more quickly. The book discusses ways to accelerate the capabilities of teaching and learning transactions. It also covers innovative teaching and learning processes to meet the challenges of digital learners. Starting with an overview of digital learning resources and processes as well as their advantages and disadvantages, the book then discusses such approaches and strategies as follows: Learner-oriented and learner-friendly approaches Blended learning Active learning Experiential learning Virtual learning Applications of Cloud Computing and Artificial Intelligence Gamification LMS challenges and techno-pedagogical issues for modern life As digital technology is disrupting teaching and learning, especially the skill development of students in the era of Industry 4.0 and 5.0, this is a timely book. It provides methods, approaches, strategies, and techniques for innovative learning and teaching. It discusses how to leverage new technology to enhance educators’ and learners’ abilities and performance. A comprehensive reference guide for educational researchers and technology developers, the book also helps educators embrace the digital transformation of teaching and learning. |
| coursera financial aid answers: Deep Learning in Natural Language Processing Li Deng, Yang Liu, 2018-05-23 In recent years, deep learning has fundamentally changed the landscapes of a number of areas in artificial intelligence, including speech, vision, natural language, robotics, and game playing. In particular, the striking success of deep learning in a wide variety of natural language processing (NLP) applications has served as a benchmark for the advances in one of the most important tasks in artificial intelligence. This book reviews the state of the art of deep learning research and its successful applications to major NLP tasks, including speech recognition and understanding, dialogue systems, lexical analysis, parsing, knowledge graphs, machine translation, question answering, sentiment analysis, social computing, and natural language generation from images. Outlining and analyzing various research frontiers of NLP in the deep learning era, it features self-contained, comprehensive chapters written by leading researchers in the field. A glossary of technical terms and commonly used acronyms in the intersection of deep learning and NLP is also provided. The book appeals to advanced undergraduate and graduate students, post-doctoral researchers, lecturers and industrial researchers, as well as anyone interested in deep learning and natural language processing. |
| coursera financial aid answers: If You're So Smart Why Aren't You Happy Raj Raghunathan, 2016-04-28 What are the true determinants of a happy and fulfilling life? Widely admired psychological researcher Rag Raghunathan sets out to find the answer, undertaking extensive research into the happiness of students, business people, stay-at-home-parents, lawyers, and artists, among others. From his research he reveals a crucial discovery: many of the psychological traits that lead to success ironically get in the way of happiness. Forging a new way forward, Raghunathan shows how we can transform these key traits of success, namely the need to be loved, the need for importance and the need for control, and replace them with other behaviours, goals and values to improve our life-long levels of happiness. |
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