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Organization of Programming Languages
Author: Bernd Teufel
language: en
Publisher: Springer Science & Business Media
Release Date: 2012-12-06
Beside the computers itself, programming languages are the most important tools of a computer scientist, because they allow the formulation of algorithms in a way that a computer can perform the desired actions. Without the availability of (high level) languages it would simply be impossible to solve complex problems by using computers. Therefore, high level programming languages form a central topic in Computer Science. It should be a must for every student of Computer Science to take a course on the organization and structure of programming languages, since the knowledge about the design of the various programming languages as well as the understanding of certain compilation techniques can support the decision to choose the right language for a particular problem or application. This book is about high level programming languages. It deals with all the major aspects of programming languages (including a lot of examples and exercises). Therefore, the book does not give an detailed introduction to a certain program ming language (for this it is referred to the original language reports), but it explains the most important features of certain programming languages using those pro gramming languages to exemplify the problems. The book was outlined for a one session course on programming languages. It can be used both as a teacher's ref erence as well as a student text book.
Speech Perception, Production and Acquisition
This book addresses important issues of speech processing and language learning in Chinese. It highlights perception and production of speech in healthy and clinical populations and in children and adults. This book provides diverse perspectives and reviews of cutting-edge research in past decades on how Chinese speech is processed and learned. Along with each chapter, future research directions have been discussed. With these unique features and the broad coverage of topics, this book appeals to not only scholars and students who study speech perception in preverbal infants and in children and adults learning Chinese, but also to teachers with interests in pedagogical applications in teaching Chinese as Second Language.
Learn R for Applied Statistics
Gain the R programming language fundamentals for doing the applied statistics useful for data exploration and analysis in data science and data mining. This book covers topics ranging from R syntax basics, descriptive statistics, and data visualizations to inferential statistics and regressions. After learning R’s syntax, you will work through data visualizations such as histograms and boxplot charting, descriptive statistics, and inferential statistics such as t-test, chi-square test, ANOVA, non-parametric test, and linear regressions. Learn R for Applied Statistics is a timely skills-migration book that equips you with the R programming fundamentals and introduces you to applied statistics for data explorations. What You Will Learn Discover R, statistics, data science, data mining, and big data Master the fundamentals of R programming, including variables and arithmetic, vectors, lists, data frames, conditional statements, loops, and functions Work with descriptive statistics Create data visualizations, including bar charts, line charts, scatter plots, boxplots, histograms, and scatterplots Use inferential statistics including t-tests, chi-square tests, ANOVA, non-parametric tests, linear regressions, and multiple linear regressions Who This Book Is For Those who are interested in data science, in particular data exploration using applied statistics, and the use of R programming for data visualizations.