Unilibrary. Oliy ta'lim muassasalarining yagona elektron kutubxona axborot tizimi.

Вычислительные системы,сети и телекоммуникации

Вычислительные машины, системы и сети уже давно выполняют задачи, выходящие за рамки обычных вычислений. Ключевыми словами в наши дни становятся информация, обработка информации. Более того, информация — это самый ценный ресурс в современном мире. Устройствам ее хранения, организации, передачи и обработки и посвящена эта книга.

Энергосберегающий Асинхронный электропривод

Изложены основные сведения о наиболее распространенных классах современных систем регулируемых асинхронных электроприводов и их энергетических показателях. Рассмотрены в общем виде возможности снижения энергопотребления в асинхронных электроприводах при работе в установившихся и переходных режимах. Обоснована целесообразность автоматизации энергоемких технологических процессов с использованием регулируемых асинхронных электроприводов, что позволяет решать задачи энергосбережения. Приведены рациональные структуры энергосберегающих автоматизированных частотно-регулируемых асинхронных электроприводов для типовых производственных механизмов.

Sxemotexnika

Darslikda integral mikrosxemalar (IMS), analog va raqamli IMSlarning negiz texnik yechimlari, keng qo'llaniladigan IMSlar asosidagi analog va raqamli qurilmalar, kombi- natsion va ketma-ketli mantiqiy qurilmalarning xarakteristikalari va parametrlari, yarim- o'tkazgichli xotira qurilmalari, mikroprotsessorlar, raqamli sxemotexnikaning istiqbolli yo'nalishlari haqida ma'lumotlar yoritilgan. Darslikda laboratoriya ishlariga ham katta e'tibor qaratilgan bo'lib, unda LabVIEW amaliy dasturi paketiga asoslangan ko'pfunksional NI ELVIS laboratoriya stansiyasi yordamida bajarilishi mumkin bo'lgan laboratoriya ishlari majmuyi berilgan.

Introductory Business Statistics

There are two common definitions of statistics. The first is "turning data into information", the second is "making inferences about populations from samples". These two definitions are quite different, but between them they capture most of what you will learn in most introductory statistics courses. The first, "turning data into information," is a good definition of descriptive statistics—the topic of the first part of this, and most, introductory texts. The second, "making inferences about populations from samples", is a good definition of inferential statistics —the topic of the latter part of this, and most, introductory texts. To reach an understanding of the second definition an understanding of the first definition is needed; that is why we will study descriptive statistics before inferential statistics. To reach an understanding of how to turn data into information, an understanding of some terms and concepts is needed. This first chapter provides an explanation of the terms and concepts you will need before you can do anything statistical.

Introductory Map Theory

As an introductory book, this book contains the elementary materials in map theory, including embeddings of a graph, abstract maps, duality, orientable and non-orientable maps, isomorphisms of maps and the enumeration of rooted or unrooted maps, particularly, the joint tree representation of an embedding of a graph on two dimensional manifolds, which enables one to make the complication much simpler on map enumeration. All of these are valuable for researchers and students in combinatorics, graphs and low dimensional topology. A Smarandache system (Sigma;R) is such a system with at least one Smarandachely denied rule, non-r in R, such that it behaves in at least two different ways within the same set Sigma, i.e. validated and invalided, or only invalided but in multiple distinct ways. A map is a 2-cell decomposition of surface, which can be seen as a connected graph in development from partition to permutation, also a basis for constructing Smarandache systems, particularly, Smarandache 2-manifolds for Smarandache geometry.

Introductory Statistics. V. 1 of 2

Introductory Statistics is designed for the one-semester, introduction to statistics course and is geared toward students majoring in fields other than math or engineering. This text assumes students have been exposed to intermediate algebra, and it focuses on the applications of statistical knowledge rather than the theory behind it. The foundation of this textbook is Collaborative Statistics, by Barbara Illowsky and Susan Dean. Additional topics, examples, and ample opportunities for practice have been added to each chapter. The development choices for this textbook were made with the guidance of many faculty members who are deeply involved in teaching this course. These choices led to innovations in art, terminology, and practical applications, all with a goal of increasing relevance and accessibility for students. We strove to make the discipline meaningful, so that students can draw from it a working knowledge that will enrich their future studies and help them make sense of the world around them.

Introductory Statistics. V. 2: of 2 Appendices

Introductory Statistics is designed for the one-semester, introduction to statistics course and is geared toward students majoring in fields other than math or engineering. This text assumes students have been exposed to intermediate algebra, and it focuses on the applications of statistical knowledge rather than the theory behind it. The foundation of this textbook is Collaborative Statistics, by Barbara Illowsky and Susan Dean. Additional topics, examples, and ample opportunities for practice have been added to each chapter. The development choices for this textbook were made with the guidance of many faculty members who are deeply involved in teaching this course. These choices led to innovations in art, terminology, and practical applications, all with a goal of increasing relevance and accessibility for students. We strove to make the discipline meaningful, so that students can draw from it a working knowledge that will enrich their future studies and help them make sense of the world around them.

Introductory Statistics with Randomization and Simulation

This textbook may be downloaded as a free PDF on the project's website. OpenIntro develops free textbooks and course resources for introductory statistics that exceeds the quality standards of traditional textbooks and resources, and that maximizes accessibility options for the typical student. The approach taken in this textbooks differs from OpenIntro Statistics in its introduction to inference. The foundations for inference are provided using randomization and simulation methods. Once a solid foundation is formed, a transition is made to traditional approaches, where the normal and t distributions are used for hypothesis testing and the construction of confidence intervals.

Introductory Statistics

Introductory Statistics is designed for the one-semester, introduction to statistics course and is geared toward students majoring in fields other than math or engineering. This text assumes students have been exposed to intermediate algebra, and it focuses on the applications of statistical knowledge rather than the theory behind it. The foundation of this textbook is Collaborative Statistics, by Barbara Illowsky and Susan Dean. Additional topics, examples, and ample opportunities for practice have been added to each chapter. The development choices for this textbook were made with the guidance of many faculty members who are deeply involved in teaching this course. These choices led to innovations in art, terminology, and practical applications, all with a goal of increasing relevance and accessibility for students.

Introductory-Statistics

This book is meant to be a textbook for a standard one-semester introductory statistics course for general education students. Our motivation for writing it is twofold: 1.) to provide a low-cost alternative to many existing popular textbooks on the market; and 2.) to provide a quality textbook on the subject with a focus on the core material of the course in a balanced presentation. The high cost of textbooks has spiraled out of control in recent years. The high frequency at which new editions of popular texts appear puts a tremendous burden on students and faculty alike, as well as the natural environment. Against this background we set out to write a quality textbook with materials such as examples and exercises that age well with time and that would therefore not require frequent new editions.

Ijtimoiy soha iqtisodiyoti

Ijtimоiy tаrmоqlаr mаjmuаsi, аhоligа ijtimоiy аhаmiyatgа egа bo’lgаn хizmаtlаr ko’rsаtish bilаn shug’ullаnuvchi fаоliyat turlаri mаjmuаsidаn ibоrаt, ulаr jumlаsigа tа’lim, mаdаniyat, sоg’liqni sаqlаsh, pеntsiya tа’minоtа, uy-jоy kоmmunаl хo’jаligi, jismоniy tаrbiya vа spоrt, ijtimоiy хizmаt ko’rsаtish vа bоshqаlаr kirаdi. Ushbu хizmаtlаrni ishlаb chiqаrish vа istе’mоl qilish nаtijаsidа mа’nаviy bоy vа jismоniy sоg’lоm kishilаrni shаkillаntirish imkоniyatlаri kеngаyadi.

Intuitive Infinitesimal Calculus

In mathematics, infinitesimals are things so small that there is no way to measure them. The insight with exploiting infinitesimals was that entities could still retain certain specific properties, such as angle or slope, even though these entities were quantitatively small. The word infinitesimal comes from a 17th-century Modern Latin coinage infinitesimus, which originally referred to the "infinite-th" item in a sequence. It was originally introduced around 1670 by either Nicolaus Mercator or Gottfried Wilhelm Leibniz. Infinitesimals are a basic ingredient in the procedures of infinitesimal calculus as developed by Leibniz, including the law of continuity and the transcendental law of homogeneity. In common speech, an infinitesimal object is an object that is smaller than any feasible measurement, but not zero in size—or, so small that it cannot be distinguished from zero by any available means. Hence, when used as an adjective, "infinitesimal" means "extremely small". To give it a meaning, it usually must be compared to another infinitesimal object in the same context (as in a derivative). Infinitely many infinitesimals are summed to produce an integral.

Just Enough R. Learn data analysis with R in a day

If your job involves working with data in any manner, you cannot afford to ignore the R revolution! If your domain is called data analysis, analytics, informatics, data science, reporting, business intelligence, data management, big data, or visualization, you just have to learn R as this programming language is a game-changing sledgehammer. However, if you have looked at a standard text on R or read some of the online discussions, you might feel that there is a steep learning curve of six months or more to grok the language. I will debunk this myth through my book by focusing on practical essentials instead of theory. If you have programmed in some language in the past (whether that language be SAS, SPSS, C, C++, C#, Java, Python, Perl, Visual Basic, Ruby, Scala, shell scripts, or plain old SQL), even if you are rusty, this book will get you up and running with R in a single day, writing programs for data analysis and visualization. At the end of this book you will be able to. Write R programs to execute on the 3 major data-analysis phases. Visualize data in an illustrative and interactive manner. Move on to using R for big data analytics

Техническая гидромеханика

При констировании многих типов современных машин необходимы глубокие знания механики жидкостей и газов.

Геодезия

Ушбу дарслик геодезия хақида умумий маълумотлар, геодезияда қўлланиладиган координата системалари, ориентирлаш, план олиш ва ўлчаш хатолари тўғрисида тушунча берилган

Гигиена

В учебнике рассмотрены основные проблемы, стоящие перед современной гигиенической наукой и практикой. Представлены методы исследований, применяемые в гигиене; показаны пути развития гигиены на разных этапах исторического развития у нас в стране и за рубежом. Дана характеристика различных факторов окружающей среды, принципов их гигиенического нормирования, влияния факторов воздушной среды, воды, почвы, климата, урбанизации на здоровье населения.