Thư viện số
Giáo trình, tài liệu tham khảo và tài nguyên học tập mở.
Nguồn ngoài
Workplace Software and Skills
Tammie Bolling; Angela Mitchell; Tanya Scott; Nyrobi Wheeler · OpenStax, Rice University
Workplace Software and Skills is designed to flexibly support a range of courses covering computer literacy, Microsoft Office, and Google Suite applications. The textbook covers both hard and soft skills that are applicable to a broad range of academic majors and careers. Chapters combine studio learning and guided practice with scaffolded activities designed to reinforce a student’s ability to perform higher-order tasks independently. Workplace Software and Skills leverages complementary product features in spreadsheet, word processing, presentation, and similar applications. Modules are designed for maximum flexibility by including both Microsoft Office Suite and Google Suite applications, in order to best reflect the skills needed for today’s workforce. Authentic activities and real-world contexts develop a cumulative and thorough understanding, which reinforces the importance of cross-platform proficiency. Highly visible features also note Apple/Mac functions as needed.
Nguồn ngoài
Principles of Data Science
Dr. Shaun V. Ault; Dr. Soohyun Nam Liao; Larry Musolino; Wisam Bukaita · OpenStax, Rice University
Principles of Data Science is intended to support one- or two-semester courses in data science. It is appropriate for data science majors and minors as well as students concentrating in business, finance, health care, engineering, the sciences, and a number of other fields where data science has become critically important. The authors have included a diverse mix of scenarios, examples, and data types for analysis and discussion purposes. These include both fictional contexts and real-world sources, such as the Federal Reserve Economic Database and Nasdaq. Data sets focus on a range of topics: business, science, social sciences. Applications include healthcare, physical sciences, demographics, policy, and finance. Data ethics and the emergence of artificial intelligence are covered deeply – both in their own chapters and as consistent threads throughout the course material. The authors and contributors have developed rich in-chapter example problems and extensive practice exercises that encourage students to apply concepts in a variety of situations. Technical illustrations and Python code support and supplement the principles and theory. The text also includes direct links to downloadable data sets and Python code, as well as guidance on how to use them.
Nguồn ngoài
Introduction to Intellectual Property
David Kline; David Kappos; Kerry L. Bundy; Randall E. Kahnke · OpenStax, Rice University
Introduction to Intellectual Property provides a clear, effective introduction to patents, copyright, trademarks, and trade secrets. The text may be used by students and instructors in formal courses, as well as those applying intellectual property considerations to entrepreneurship, marketing, law, computer science, engineering, design, or other fields. The luminaries involved with this project represent the forefront of knowledge and experience, and the material offers considerable examples and scenarios, as well as exercises and references. Introduction to Intellectual Property was originally developed by the Michelson 20MM Foundation, released under the title The Intangible Advantage. Presented by Gary K. Michelson, M.D.