"Open For Business: An Introduction to the Real World introduces today's time-starved community college students to the world of business. Written by long-time community college educators, this introductory level business textbook provides all of the necessary information in an easily readable and retainable format." -- Back cover
Introduction to Business covers the scope and sequence of most introductory business courses. The book provides detailed explanations in the context of core themes such as customer satisfaction, ethics, entrepreneurship, global business, and managing change. Introduction to Business includes hundreds of current business examples from a range of industries and geographic locations, which feature a variety of individuals. The outcome is a balanced approach to the theory and application of business concepts, with attention to the knowledge and skills necessary for student success in this course and beyond. This is an adaptation of Introduction to Business by OpenStax. You can access the textbook as pdf for free at openstax.org. Minor editorial changes were made to ensure a better ebook reading experience. Textbook content produced by OpenStax is licensed under a Creative Commons Attribution 4.0 International License.
"In every chapter, Ferris and Stein use examples from everyday life and pop culture to draw students into thinking sociologically and to show the relevance of sociology to their relationships, jobs, and future goals. Data Workshops in every chapter give students a chance to apply theoretical concepts to their personal lives and actually do sociology.
Writing for the Real World is a two-level course in writing for practical purposes. The Teacher's Guide includes notes on using the Student Book, optional ideas for mixed ability classes, and photocopiable activities.
Language in the Real World challenges traditional approaches to linguistics to provide an innovative introduction to the subject. By first examining the real world applications of core areas of linguistics and then addressing the theory behind these applications, this text offers an inductive, illustrative, and interactive overview for students. Key areas covered include animal communication, phonology, language variation, gender and power, lexicography, translation, forensic linguistics, language acquisition, ASL, and language disorders. Each chapter, written by an expert in the field, is introduced by boxed notes listing the key points covered and features an author’s note to readers that situates the chapter in its real world context. Activities and pointers for further study and reading are also integrated into the chapters and an end of text glossary is provided to aid study. Professors and students will benefit from the interactive Companion Website that includes a student section featuring comments and hints on the chapter exercises within the book, a series of flash cards to test knowledge and further reading and links to key resources. Material for professors includes essay and multiple choice questions based on each chapter and additional general discussion topics. Language in the Real World shows that linguistics can be appreciated, studied, and enjoyed by actively engaging real world applications of linguistic knowledge and principles and will be essential reading for students with an interest in language. Visit the Companion Website at www.routledge.com/textbooks/languagerealworld
This up-to-date business analytics textbook (published in July 2020) will get you harnessing the power of the R programming language to: manipulate and model data, discover and communicate insight, to visually communicate that insight, and successfully advocate for change within an organization. Book Description A frequent teaching-award winning professor with an analytics-industry background shares his hands-on guide to learning business analytics. It is the first textbook addressing a complete and modern business analytics workflow that includes data manipulation, data visualization, modelling business problems with graphical models, translating graphical models into code, and presenting insights back to stakeholders. Book Highlights Content that is accessible to anyone, even most analytics beginners. If you have taken a stats course, you are good to go. Assumes no knowledge of the R programming language. Provides introduction to R, RStudio, and the Tidyverse. Provides a solid foundation and an implementable workflow for anyone wading into the Bayesian inference waters. Provides a complete workflow within the R-ecosystem; there is no need to learn several programming languages or work through clunky interfaces between software tools. First book introducing two powerful R-packages - `causact` for visual modelling of business problems and `greta` which is an R interface to `TensorFlow` used for Bayesian inference. Uses the intuitive coding practices of the `tidyverse` including using `dplyr` for data manipulation and `ggplot2` for data visualization. Datasets that are freely and easily accessible. Code for generating all results and almost every visualization used in the textbook. Do not learn statistical computation or fancy math in a vacuum, learn it through this guide within the context of solving business problems.
This practical text combines social research methods with coverage of statistical analysis to help students develop the applied research skills needed for future careers in public and private organizations, while also delivering a solid foundation for those going on to graduate school. Throughout the book, the author offers a real-world example and then breaks it down into a decision tree, which helps lead students to a possible statistical decision (rather than starting with the statistic). This text gives students a toolbox of the most common and in-demand skills and demonstrates how those skills can be used to make the best research decisions. The book takes students through the entire real-world research process, from the formation of a research topic to measurement and sampling, to methods for gathering information and making sense of the data, and finally presenting to a non-academic audience in a way that "gets the job done." Resources for instructors and students are available on an accompanying website for the book.
An introduction to algorithms for readers with no background in advanced mathematics or computer science, emphasizing examples and real-world problems. Algorithms are what we do in order not to have to do something. Algorithms consist of instructions to carry out tasks—usually dull, repetitive ones. Starting from simple building blocks, computer algorithms enable machines to recognize and produce speech, translate texts, categorize and summarize documents, describe images, and predict the weather. A task that would take hours can be completed in virtually no time by using a few lines of code in a modern scripting program. This book offers an introduction to algorithms through the real-world problems they solve. The algorithms are presented in pseudocode and can readily be implemented in a computer language. The book presents algorithms simply and accessibly, without overwhelming readers or insulting their intelligence. Readers should be comfortable with mathematical fundamentals and have a basic understanding of how computers work; all other necessary concepts are explained in the text. After presenting background in pseudocode conventions, basic terminology, and data structures, chapters cover compression, cryptography, graphs, searching and sorting, hashing, classification, strings, and chance. Each chapter describes real problems and then presents algorithms to solve them. Examples illustrate the wide range of applications, including shortest paths as a solution to paragraph line breaks, strongest paths in elections systems, hashes for song recognition, voting power Monte Carlo methods, and entropy for machine learning. Real-World Algorithms can be used by students in disciplines from economics to applied sciences. Computer science majors can read it before using a more technical text.
In this introductory textbook, the author contextualises approaches and theories on cornmunication studies by making use of local examples from the mass media, as well as relevant political and social experiences. The book is divided into two parts. The first provides students with a strong foundation in communication while the second focuses on the areas of specialisation within communication studies. Each chapter starts with the learning Outcomes and a short overview of the chapter. Students can monitor their learning by using the summaries and 'test yourself' questions at the end of every chapter. Scenarios provide examples of how the theory can be applied in practice. This makes for a learner-friendly and accessible book which will prove invaluable to Students and professionals alike. Beginner students majoring in Communication Studies, as well as those studying towards various degrees or qualifications where communication is a prerequisite will find this book useful.
