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All of the mathematics required beyond basic calculus is developed “from scratch.” Moreover, the book generally alternates between “theory” and “applications”: one or two chapters on a particular set of purely mathematical concepts are followed by one or two chapters on algorithms and applications; the mathematics provides the theoretical underpinnings for the applications, while the applications both motivate and illustrate the mathematics. Of course, this dichotomy between theory and applications is not perfectly maintained: the chapters that focus mainly on applications include the development of some of the mathematics that is specific to a particular application, and very occasionally, some of the chapters that focus mainly on mathematics include a discussion of related algorithmic ideas as well. The mathematical material covered includes the basics of number theory (including unique factorization, congruences, the distribution of primes, and quadratic reciprocity) and of abstract algebra (including groups, rings, fields, and vector spaces). It also includes an introduction to discrete probability theory—this material is needed to properly treat the topics of probabilistic algorithms and cryptographic applications. The treatment of all these topics is more or less standard, except that the text only deals with commutative structures (i.e., abelian groups and commutative rings with unity) — this is all that is really needed for the purposes of this text, and the theory of these structures is much simpler and more transparent than that of more general, non-commutative structures. There are a few sections that are marked with a “(∗),” indicating that the material covered in that section is a bit technical, and is not needed else- where. There are many examples in the text, which form an integral part of the book, and should not be skipped. There are a number of exercises in the text that serve to reinforce, as well as to develop important applications and generalizations of, the material presented in the text. Some exercises are underlined. These develop important (but usually simple) facts, and should be viewed as an integral part of the book. It is highly recommended that the reader work these exercises, or at the very least, read and understand their statements. In solving exercises, the reader is free to use any previously stated results in the text, including those in previous exercises. However, except where otherwise noted, any result in a section marked with a “(∗),” or in §5.5, need not and should not be used outside the section in which it appears. There is a very brief “Preliminaries” chapter, which fixes a bit of notation and recalls a few standard facts. This should be skimmed over by the reader. There is an appendix that contains a few useful facts; where such a fact is used in the text, there is a reference such as “see §An,” which refers to the item labeled “An” in the appendix.
- Subjects:
- Mathematics and Statistics
- Keywords:
- Algebra Textbooks Number theory Computer science -- Mathematics
- Resource Type:
- e-book
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e-book
Russell Cooper and Andrew John have written an economics text aimed directly at students from its very inception. You're thinking, ”Yeah, sure. I've heard that before.“ This textbook, Macroeconomics: Theory Through Applications, centers around student needs and expectations through two premises: … Students are motivated to study economics if they see that it relates to their own lives. … Students learn best from an inductive approach, in which they are first confronted with a problem, and then led through the process of solving that problem. Many books claim to present economics in a way that is digestible for students; Russell and Andrew have truly created one from scratch. This textbook will assist you in increasing students' economic literacy both by developing their aptitude for economic thinking and by presenting key insights about economics that every educated individual should know. How? Russell and Andrew have done three things in this text to accomplish that goal: 1. Applications Ahead of Theory: They present all the theory that is standard in Principles books. But by beginning with applications, students get to learn why this theory is needed. The authors take the kind of material that other authors put in ”applications boxes“ and place it at the heart of their book. Each chapter is built around a particular business or policy application, such as social security, globalization, and the wealth and poverty of nations. Why take this approach? Traditional courses focus too much on abstract theory relative to the interests and capabilities of the average undergraduate. Students are rarely engaged and the formal theory is never integrated into the way students think about economic issues. And traditional books are organized around theoretical constructs that mean nothing to students. The authors' applications-first approach ensures that students will not see chapters with titles like ”Cost Functions“ or ”Short-Run Fluctuations“. They introduce tools and ideas as and when they are needed. Each chapter is designed with two goals. First, the application upon which the chapter is built provides a ”hook“ that gets students' attention. Second, the application is a suitable vehicle a vehicle for teaching the principles of economics. 2. Learning through Repetition: Important tools appear over and over again, allowing students to learn from repetition and to see how one framework can be useful in many different contexts. Each piece of economic theory in this text is first introduced and explained in the context of a specific application. Most are re-used in other chapters, so students see them in action on multiple occasions. As students progress through the book, they accumulate a set of techniques and ideas. These are collected separately in a ”toolkit“ that provides students with an easy reference and also gives them a condensed summary of economic principles for examination preparation. 3. A Student's Table of Contents vs. An Instructor's Table of Contents: There is no further proof that Russell and Andrew have created a book aimed specifically at educating students about economics than their two tables of contents. The Student's Table of Contents speaks to students, piquing their interest to involve them in the economics, and a Instructor's Table of Contents with the economics to better help you organize your teaching—and frankly, you don't need to get excited by economics, you already are.
- Subjects:
- Economics
- Keywords:
- Macroeconomics Textbooks
- Resource Type:
- e-book
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e-book
Human Resource Management teaches HRM strategies and theories that any manager—not just those in HR—needs to know about recruiting, selecting, training, and compensating people. Most students will be managing people at some point in their careers and not necessarily in a human resource management capacity. As businesses cut back, they may outsource HR duties to outside vendors. Or, in smaller businesses, the HR department is sometimes small or non-existent, and managers from other departments have to perform their own HRM. Therefore, teaching HRM from the perspective of a general manager, in addition to an HR manager, provides more relevance to students' careers and will give them a competitive advantage in the workplace. This text also provides practical applications of theory relevant to today's workplace. You won't find discussions about “posting vacancies on a job board” or “sending memos.” In the real world, HRM leverages technology in every aspect of the job—from online training modules to technology for better managing flex-time workers and telecommuters. Consider how most companies have gone “paperless” with pay stubs by using software. While such technology has made HRM easier, it has also created a new set of challenges. For example, how does a manager actually implement a new pay system? Therefore, it's important for students to understand what kinds of platforms exist in today's workplace to enhance their effectiveness as future managers. The conversational style of Human Resource Management engages students, while the academic rigor of its content provides them with the tools that any manager needs—whether they work in HR or a different department. PLUS it offers an array of supplements that gives them practice creating real HR documents and role-playing real HR scenarios. Add value to your students' education, enhance the relevance of your curriculum, and make your students more employable by adopting this book for your HRM class. Read it now online today!
- Subjects:
- Management
- Keywords:
- Personnel management Textbooks
- Resource Type:
- e-book
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e-book
Russell Cooper and Andrew John have written an economics text aimed directly at students from its very inception. You're thinking, ”Yeah, sure. I've heard that before.“ This textbook, Microeconomics: Theory Through Applications, centers around student needs and expectations through two premises: … Students are motivated to study economics if they see that it relates to their own lives. … Students learn best from an inductive approach, in which they are first confronted with a problem, and then led through the process of solving that problem. Many books claim to present economics in a way that is digestible for students; Russell and Andrew have truly created one from scratch. This textbook will assist you in increasing students' economic literacy both by developing their aptitude for economic thinking and by presenting key insights about economics that every educated individual should know. How? Russell and Andrew have done three things in this text to accomplish that goal: 1. Applications Ahead of Theory: They present all the theory that is standard in Principles books. But by beginning with applications, students get to learn why this theory is needed. The authors take the kind of material that other authors put in ”applications boxes“ and place it at the heart of their book. Each chapter is built around a particular business or policy application, such as minimum wages, the stock exchange, and auctions. Why take this approach? Traditional courses focus too much on abstract theory relative to the interests and capabilities of the average undergraduate. Students are rarely engaged and the formal theory is never integrated into the way students think about economic issues. And traditional books are organized around theoretical constructs that mean nothing to students. The authors' applications-first approach ensures that students will not see chapters with titles like ”Cost Functions“ or ”Short-Run Fluctuations“. They introduce tools and ideas as and when they are needed. Each chapter is designed with two goals. First, the application upon which the chapter is built provides a ”hook“ that gets students' attention. Second, the application is a suitable vehicle a vehicle for teaching the principles of economics. 2. Learning through Repetition: Important tools appear over and over again, allowing students to learn from repetition and to see how one framework can be useful in many different contexts. Each piece of economic theory in this text is first introduced and explained in the context of a specific application. Most are re-used in other chapters, so students see them in action on multiple occasions. As students progress through the book, they accumulate a set of techniques and ideas. These are collected separately in a ”toolkit“ that provides students with an easy reference and also gives them a condensed summary of economic principles for examination preparation. 3. A Student's Table of Contents vs. An Instructor's Table of Contents: There is no further proof that Russell and Andrew have created a book aimed specifically at educating students about economics than their two tables of contents. The Student's Table of Contents speaks to students, piquing their interest to involve them in the economics, and a Instructor's Table of Contents with the economics to better help you organize your teaching—and frankly, you don't need to get excited by economics, you already are.
- Subjects:
- Economics
- Keywords:
- Microeconomics Textbooks
- Resource Type:
- e-book
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e-book
Collaborative Statistics was written by Barbara Illowsky and Susan Dean, faculty members at De Anza Collegein Cupertino, California. The textbook was developed over several years and has been used in regularand honors-level classroom settings and in distance learning classes. Courses using this textbook have beenarticulated by the University of California for transfer of credit. The textbook contains full materials forcourse offerings, including expository text, examples, labs, homework, and projects. A Teacher's Guide iscurrently available in print form and on the Connexions site at and supplemental course materials including additional problem sets and video lectures are available. The on-line text for each of these collections collections willmeet the Section 508 standards for accessibility. An on-line course based on the textbook was also developed by Illowsky and Dean. It has won an awardas the best on-line California community college course. The on-line course will be available at a later dateas a collection in Connexions, and each lesson in the on-line course will be linked to the on-line textbookchapter. The on-line course will include, in addition to expository text and examples, videos of courselectures in captioned and non-captioned format. The original preface to the book as written by professors Illowsky and Dean, now follows: This book is intended for introductory statistics courses being taken by students at two– and four–yearcolleges who are majoring in fields other than math or engineering. Intermediate algebra is the only prerequisite.The book focuses on applications of statistical knowledge rather than the theory behind it. Thetext is named Collaborative Statistics because students learn best by doing. In fact, they learn best byworking in small groups. The old saying “two heads are better than one” truly applies here. Our emphasis in this text is on four main concepts: thinking statistically incorporating technology working collaboratively writing thoughtfully These concepts are integral to our course. Students learn the best by actively participating, not by justwatching and listening. Teaching should be highly interactive. Students need to be thoroughly engagedin the learning process in order to make sense of statistical concepts. Collaborative Statistics providestechniques for students to write across the curriculum, to collaborate with their peers, to think statistically,and to incorporate technology. This book takes students step by step. The text is interactive. Therefore, students can immediately applywhat they read. Once students have completed the process of problem solving, they can tackle interestingand challenging problems relevant to today's world. The problems require the students to apply theirnewly found skills. In addition, technology (TI-83 graphing calculators are highlighted) is incorporatedthroughout the text and the problems, as well as in the special group activities and projects. The book alsocontains labs that use real data and practices that lead students step by step through the problem solvingprocess. At De Anza, along with hundreds of other colleges across the country, the college audience involves alarge number of ESL students as well as students from many disciplines. The ESL students, as well asthe non-ESL students, have been especially appreciative of this text. They find it extremely readable andunderstandable. Collaborative Statistics has been used in classes that range from 20 to 120 students, and inregular, honor, and distance learning classes.
- Subjects:
- Mathematics and Statistics
- Keywords:
- Textbooks Statistics
- Resource Type:
- e-book
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e-book
Business Communication for Success (BCS) provides a comprehensive, integrated approach to the study and application of written and oral business communication to serve both student and professor. This series features chapters with the following elements: Learning Objectives Introductory Exercises Clear expectations, relevant background, and important theories Practical, real-world examples Key Takeaways or quick internal summaries Key terms that are easily identified In-chapter assignments Postchapter assessments linked to objectives and skills acquisition Each chapter is self-contained, allowing for mix-and-match flexibility and custom or course-specific design. Each chapter focuses on clear objectives and skill demonstrations that can be easily linked to your syllabus and state or federal requirements. Supported by internal and external assessments, each chapter features time-saving and learning-enhancement support for instructors and students. BCS is designed to help students identify important information, reinforce for retention, and demonstrate mastery with a clear outcome product. The text has three content categories: Foundations Process and products Contexts The first three chapters form the core foundation for the study of oral and written business communication. The next sequence of chapters focus on the process of writing, then oral performance with an emphasis on results. The final sequence focuses on contexts where business communication occurs, from interpersonal to intercultural, from groups to leadership. In each of the process and product chapter sequences, the chapters follow a natural flow, from prewriting to revision, from preparation for a presentation to performance. Each sequence comes together in a concluding chapter that focuses on action—where we apply the skills and techniques of written or oral communication in business, from writing a letter to presenting a sales speech. These performances not only serve to reinforce real-world applications but also may serve as course assessments. This text has been used in classes at: Ohio University, Miami University – Oxford, Kent State University – Salem Campus, Cuyahoga Community College – West, University of Toledo, Cuyahoga Community College – District, Northern Arizona University, Gateway Community College, University of Arizona, Arizona Western College, Boise State University,Western Governors University, Doane College, Mcpherson College, University of Nebraska Med Center, Suny Fredonia, State University of New York Institute of Technology at Utica/Rome, Trinidad State Junior College, University of Delaware, Brenau University, Brewton-Parker College, Loras College, Kapiolani Community College, Muscatine Community College, Greenville College, University of Illinois – Chicago, Millikin University, Rockland Community College, Cornell University, National-Louis University – Lisle, St. Gregory's University, University of Southern Indiana, Missouri State University – W Plains, Bucks County Community College – Newton, Clarion University of Pennsylvania, Pulaski Technical College, Temple University, Dixie State College of Utah, Averett University, Virginia Polytech Institute, Fond Du Lac Tribal Community College, Lipscomb University, Edgewood College, University of Wisconsin – Stout, Wisconsin Lutheran College, Virginia State University, North Georgia Technical College – Blairsville, Paradise Valley Community College, Fordham University – Lincoln Center, New England College of Business/Finance, Eastern New Mexico University, University of Alabama, Albertus Magnus College, Pepperdine University, Fullerton College, Santa Ana College, Miracosta College – Oceanside, San Jose State University, De Anza College, University of The Southwest, Florida Institute of Technology, Forida State University, Dean College, California State University, University of Massachusetts, Suffolk University, Stevenson University, Worcester State College, University of Maryland, Clover Park Technical College, Minnesota State University – Moorhead, College of St. Scholastica, Ferris State University, Concordia University, Southern New Hampshire University, Lower Columbia College, University of North Carolina – Greensboro, Rockingham Community College, Stanly Community College, Wayland Baptist University, Bunker Hill Community College, Salve Regina University, University of The Incarnate Word, St. Mary's University, University of Rhode Island, Texarkana College, Renton Technical College, Tarleton State University, Wayland Baptist University – Plainview, University of Houston, Stephen F. Austin State University, Bates Technical College, Chabot College, Bakersfield College, Azusa Pacific University, University of Houston – Downtown, California Southern University, Miracosta College, American Public University, American Public University System, Huntington Junior College, Flat World Knowledge University, Jackson Senior High School, Holmes High School, Dlielc, Clintondale High School, American University in Kosovo in Conjunction with Rochester Institute of Technology, Southeast Lauderdale High School, Benedict Business Hotel Management School, University of the People, Kwame Nkrumah University of Science and Technology, New Brunswick College of Craft and Design, New England School of English, Comsats Institute of Information Technology, Wayland Baptist University – Anchorage, Volcano Vista High School, Wayland Baptist University – San Antonio, Morrill High School, North Island College – B Campus, Seneca College, APOU, University of North Carolina – Greensboro, Southern New Hampshire University, University of Maryland University College, Harrisburg High School
- Subjects:
- English Language
- Keywords:
- Business writing English language -- Business English Business communication Textbooks
- Resource Type:
- e-book
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Others
The website of Nursing Theories:A Companion to Nursing Theories and Models covers the topics of nursing theoris, research, mental health nursing etc. For example, the topic of application of nursing theories, goal attainment theory, Orem's self-care deficit theory, suchman’s stages of illness model, and Betty Neuman's systems model in nursing care.
- Course related:
- SN210 Fundamental Concepts of Health & Nurisng
- Subjects:
- Nursing
- Keywords:
- Psychiatric nursing Psychiatric nurses
- Resource Type:
- Others
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MOOC
Machine learning is the science of getting computers to act without being explicitly programmed. In the past decade, machine learning has given us self-driving cars, practical speech recognition, effective web search, and a vastly improved understanding of the human genome. Machine learning is so pervasive today that you probably use it dozens of times a day without knowing it. Many researchers also think it is the best way to make progress towards human-level AI. In this class, you will learn about the most effective machine learning techniques, and gain practice implementing them and getting them to work for yourself. More importantly, you'll learn about not only the theoretical underpinnings of learning, but also gain the practical know-how needed to quickly and powerfully apply these techniques to new problems. Finally, you'll learn about some of Silicon Valley's best practices in innovation as it pertains to machine learning and AI. This course provides a broad introduction to machine learning, datamining, and statistical pattern recognition. Topics include: (i) Supervised learning (parametric/non-parametric algorithms, support vector machines, kernels, neural networks). (ii) Unsupervised learning (clustering, dimensionality reduction, recommender systems, deep learning). (iii) Best practices in machine learning (bias/variance theory; innovation process in machine learning and AI). The course will also draw from numerous case studies and applications, so that you'll also learn how to apply learning algorithms to building smart robots (perception, control), text understanding (web search, anti-spam), computer vision, medical informatics, audio, database mining, and other areas.
- Course related:
- COMP4434 Big Data Analytics and EIE6207 Theoretical Fundamental and Engineering Approaches for Intelligent Signal and. Information Processing
- Subjects:
- Computing, Data Science and Artificial Intelligence
- Keywords:
- Artificial intelligence Machine learning
- Resource Type:
- MOOC
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Courseware
Offshore Hydromechanics includes the following modules: 1. Hydrostatics, static floating stability, constant 2-D potential flow of ideal fluids, and flows in real fluids. Introduction to resistance and propulsion of ships. Review of linear regular and irregular wave theory. 2. Analytical and numerical means to determine the flow around, forces on, and motions of floating bodies in waves. 3. Higher order potential theory and inclusion of non-linear effects in ship motions. Applications to motion of moored ships and to the determination of workability. 4. Interaction between the sea and sea bottom as well as the hydrodynamic forces and especially survival loads on slender structures.
- Subjects:
- Hydraulic Engineering
- Keywords:
- Offshore structures -- Hydrodynamics Hydrostatics Fluid mechanics
- Resource Type:
- Courseware
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Courseware
This course discusses the requirement, interpretation, methods and design of hydrological measurements. Following topics are covered: Accuracy requirements of measurements and error propagation: Related to a problem the required accuracy of measurements and the consequences for accuracy in the final result are discussed. Different types of errors are handled. Propagation of errors; for dependent and independent measurements, from mathematical relations and regression is demonstrated. Recapitulated is the theory of regression and correlation. Interpretation of measurements, data completion: By standard statistical methods screening of measured data is performed; double mass analysis, residual mass, simple rainfall-runoff modelling. Detection of trends; split record tests, Spearman rank tests. Methods to fill data gaps and do filtering on data series for noise reduction. Methods of hydrological measurements and measuring equipment: To determine quantitatively the most important elements in the hydrological cycle an overview is presented of most common hydrological measurements, measuring equipment and indirect determination methods i.e. for precipitation, evaporation, transpiration, river discharge and groundwater tables. Use, purpose and measurement techniques for tracers in hydrology is discussed. Advantages and disadvantages and specific condition/application of methods are discussed. Equipment is demonstrated and discussed. Areal distributed observation: Areal interpolation techniques of point observations; inverse distance, Thiessen, contouring, Kriging. Comparison of interpolation techniques and estimation of errors. Correlation analysis of areal distributed observation of rainfall. Design of measuring networks: Based on correlation characteristics from point measurements (e.g. rainfall stations) and accuracy requirements the design of a network of stations is demonstrated.
- Subjects:
- Hydraulic Engineering
- Keywords:
- Hydrology -- Measurement Hydrology
- Resource Type:
- Courseware