A New Approach to Growth, Development, and Social Progress
Author: Joseph E. Stiglitz
Publisher: Columbia University Press
Category: Business & Economics
It has long been recognized that an improved standard of living results from advances in technology, not from the accumulation of capital. It has also become clear that what truly separates developed from less-developed countries is not just a gap in resources or output but a gap in knowledge. In fact, the pace at which developing countries grow is largely a function of the pace at which they close that gap. Thus, to understand how countries grow and develop, it is essential to know how they learn and become more productive and what government can do to promote learning. In Creating a Learning Society, Joseph E. Stiglitz and Bruce C. Greenwald cast light on the significance of this insight for economic theory and policy. Taking as a starting point Kenneth J. Arrow's 1962 paper "Learning by Doing," they explain why the production of knowledge differs from that of other goods and why market economies alone typically do not produce and transmit knowledge efficiently. Closing knowledge gaps and helping laggards learn are central to growth and development. But creating a learning society is equally crucial if we are to sustain improved living standards in advanced countries. Combining accessible prose with technical economic analysis, Stiglitz and Greenwald provide new models of "endogenous growth," up-ending thowhe thinking about both domestic and global policy and trade regimes. They show well-designed government trade and industrial policies can help create a learning society, and how poorly designed intellectual property regimes can retard learning. They also explain how virtually every government policy has effects, both positive and negative, on learning, a fact that policymakers must recognize. They demonstrate why many standard policy prescriptions, especially those associated with "neoliberal" doctrines focusing on static resource allocations, have impeded learning. Among the provocative implications are that free trade may lead to stagnation whereas broad-based industrial protection and exchange rate interventions may bring benefits—not just to the industrial sector, but to the entire economy. The volume concludes with brief commentaries from Philippe Aghion and Michael Woodford, as well as from Nobel Laureates Kenneth J. Arrow and Robert M. Solow.
After many of years of teaching C and C++ and continually searching for the 'perfect' book, we decided to write our own. Although the first edition under a different name sold world-wide, it is now out of print. We have retained our rights to the book and have entered into the self-publishing world.This textbook is designed to teach beginning programming at the college level. It has a strong focus based upon procedural programming using the C++ language. Additionally, at the end of each chapter we show how these concepts apply to the C programming language. Book materials can be downloaded from: sharepoint.cset.oit.edu/LearnByDoing/.PrerequisitesThe text is targeted at the broad base of students taking their first programming course. It assumes no prior programming knowledge. However, because of the mathematical nature of some of the programming assignments, the student should have an understanding of algebraic concepts. How we are differentIn the past we have used several books within our introductory courses taken by programming students. Every few years we tend to alternate between these books, only to find that they all fall short of our objectives. Our text is different in the following ways: a. We include a more "learn by doing" approach to presenting materials.b. Throughout the text, exercises are presented for the students to complete as they work through a specific topic.c. We clearly stress a more procedural approach to learning programming throughout the majority of the text.d. At the end of each chapter, we point out the corresponding C language constructs related to the specific topic being presented.e. The writing style seeks to actively engage the reader in a "learn by doing" fashion and makes extensive use of various aspects associated with using the debugger to help solidify concepts.f. The writing style presents information concisely and makes good use of many code examples to help present the topics.
Engaged Learning for Programming in C++: A Laboratory Course takes an interactive, learn-by-doing approach to programming, giving students the ability to discover and learn programming through a no-frills, hands-on learning experience. In each laboratory exercise, students create programs that apply a particular language feature and problem solving technique. As they create these programs, they learn how C++ works and how it can be applied. Object-Oriented Programming (OOP) is addressed within numerous laboratory activities.
It seems as if everyone is writing applications for Apple’s iPhone and iPad, but how do they all do it? It’s best to learn Objective-C, the native language of both the iOS and Mac OS X, but where to begin? Right here, even if you’ve never programmed before! Objective-C for Absolute Beginners will teach you how to write software for your Mac, iPhone, or iPad using Objective-C, an elegant and powerful language with a rich set of developer tools. Using a hands-on approach, you’ll learn to think in programming terms, how to use Objective-C to build program logic, and how to write your own applications and apps. With over 50 collective years in software development and based on an approach pioneered at Carnegie Mellon University, the authors have developed a remarkably effective approach to learning Objective-C. Since the introduction of Apple’s iPhone, the authors have taught hundreds of absolute beginners how to develop Mac, iPhone,and iPad apps, including many that became popular apps in the iTunes App Store.
C++: An Active Learning Approachprovides a hands-on introduction to the C++ language through active learning exercises and numerous programming projects. C++ is taught with an emphasis on procedural programming, beginning with an introduction to object-oriented programming. Ideal for the introductory programming course, this text includes the latest C++ upgrades without losing sight of the C underpinnings still required for all computing fields.
• covers latest MOE syllabus • comprehensive examples and solutions for quick revision • helps students to familiarise with various exam question-types • complete edition and concise edition eBooks available
The motivation for reading this book is the need of practical training and knowledge in low level C and microcontroller architectures for embedded products. The aim of the book is to prepare the designer for embedded system projects by walking step by step through an entire design of an embedded system together with adequate theory.
Like a pianist who practices from a book of âtudes, readers of Programming Projects in C for Students of Engineering, Science, and Mathematics will learn by doing. Written as a tutorial on how to think about, organize, and implement programs in scientific computing, this book achieves its goal through an eclectic and wide-ranging collection of projects. Each project presents a problem and an algorithm for solving it. The reader is guided through implementing the algorithm in C and compiling and testing the results. It is not necessary to carry out the projects in sequential order. The projects÷contain suggested algorithms and partially completed programs for implementing them to enable the reader to exercise and develop skills in scientific computing;÷require only a working knowledge of undergraduate multivariable calculus, differential equations, and linear algebra; and÷are written in platform-independent standard C, and the Unix command-line is used to illustrate compilation and execution. The primary audience of this book is graduate students in mathematics, engineering, and the sciences. The book will also be of interest to advanced undergraduates and working professionals who wish to exercise and hone their skills in programming mathematical algorithms in C. A working knowledge of the C programming language is assumed.
Take your coding skills to the next level with this extensive guide to Objective–C, the native programming language for developing sophisticated software applications for Mac OS X. Objective–C is a powerful, object–oriented extension of C, making this book the perfect follow–up to Dave Mark's bestselling Learn C on the Mac, Mac OS X Edition. Whether you're an experienced C programmer or you're coming from a different language such as C++ or Java, leading Mac experts Mark Dalrymple and Scott Knaster show you how to harness the powers of Objective–C in your applications! A complete course on the basics of Objective–C using Apple's free Xcode tools An introduction to object–oriented programming Comprehensive coverage of inheritance, composition, object initialization, categories, protocols, memory management, and organizing source files A brief tour of Cocoa's foundation framework and AppKit A helpful “learning curve” guide for non–C developers