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From Algorithms to Z-Scores. Probabilistic and Statistical Modeling in Computer Science
Computer science examples are used throughout, in areas such as: computer networks; data and text mining; computer security; remote sensing; computer performance evaluation; software engineering; data management; etc. The R statistical/data manipulation language is used throughout. Since this is a computer science audience, a greater sophistication in programming can be assumed. There is considerable discussion of the intuition involving probabilistic concepts, and the concepts themselves are defined through intuition. However, all models and so on are described precisely in terms of random variables and distributions.
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From Classical to Quantum Shannon Theory
In these first few chapters, our aim is to establish a firm grounding so that we can address some fundamental questions regarding information transmission over quantum channels. This area of study has become known as “quantum Shannon theory” in the broader quantum information community, in order to distinguish this topic from other areas of study in quantum information science. In this text, we will use the terms “quantum Shannon theory” and “quantum information theory” somewhat interchangeably. We will begin by briefly overviewing several fundamental aspects of the quantum theory. Our study of the quantum theory, in this chapter and future ones, will be at an abstract level, without giving preference to any particular physical system such as a spin-1/2 particle or a photon. This approach will be more beneficial for the purposes of our study, but, here and there, we will make some reference to actual physical systems to ground us in reality.
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Psixologiya
Mazkur darslik umumiy psixologiya faniga bag‘ishlangan bo‘lib, psixologiyaga kirish, shaxs va uning individual-tipologik xususiyatlari to‘g‘risidagi materiallarni qamrab olgan. Kitobda shaxs ehtiyojlari, qiziqishi, hissiyoti, xarakteri, irodasi, temperamenti, bilish jarayonlariga oid masalalar qiziqarli aks ettirilgan.
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Fundamental Data Structures
In computer science, an abstract data type (ADT) is a mathematical model for a certain class of data structures that have similar behavior; or for certain data types of one or more programming languages that have similar semantics. An abstract data type is defined indirectly, only by the operations that may be performed on it and by mathematical constraints on the effects (and possibly cost) of those operations. Abstract data types are purely theoretical entities, used (among other things) to simplify the description of abstract algorithms, to classify and evaluate data structures, and to formally describe the type systems of programming languages. However, an ADT may be implemented by specific data types or data structures, in many ways and in many programming languages; or described in a formal specification language. ADTs are often implemented as modules: the module's interface declares procedures that correspond to the ADT operations, sometimes with comments that describe the constraints. This information hiding strategy allows the implementation of the module to be changed without disturbing the client programs.
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Fundamentals of Calculus
Calculus is the study of rates of change, and of how change accumulates. The y axis of this graph is a certain weighted average of the prices of stock, and the x axis is time, measured in years. This is an example of the concept of a mathematical function, which you've learned about in a previous course. We say that the stock index is a function of time, meaning that it depends on time. What makes this graph the graph of a function is that a vertical line only intersects it in one place. This means that at any given time, there is only one value of the index, not more than one
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Умумий психология
Мазкур дарсликда психология фанининг муаммолари, билиш жараёнлари, шахснинг индивидуал психологик хусусиятлари ва псикхик ривожланиш қонуниятлари баён этилган.
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International transport corridors
The concept of corridors plays an important role in economic development as economics have to be supported by efficient and sustainable logistics. It is often used as a development concept to create fast lanes between points of origin and points of destinatsion in different counties.
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Fundamentals of Geometry
Geometry is the branch of mathematics that deals with shapes, angles, dimensions and sizes of a variety of things we see in everyday life. Geometry is derived from Ancient Greek words – ‘Geo’ means ‘Earth’ and ‘metron’ means ‘measurement’. In Euclidean geometry, there are two-dimensional shapes and three-dimensional shapes. In a plane geometry, 2d shapes such as triangles, squares, rectangles, circles are also called flat shapes. In solid geometry, 3d shapes such as a cube, cuboid, cone, etc. are also called solids. The basic geometry is based on points, lines and planes explained in coordinate geometry.
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Umumiy pedagogika. Pedagogik mahorat
Mazkur darslik umumiy pedagogika fani mazmuniga bag`ishlangan bo`lib, oliy o`quv yurtlarining umumiy pedagogika dasturida ko`zda tutilgan talablar asosida tuzilgan.
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Materiallar qarshiligi
Muhandislik fanlarining asosi hisoblanmish materiallar qarshiligi fani vazifalari va muammolarini yoritishga, ulaming yechimini bayon etishga bag'ishlangan ushbu darsIikda predmetning asosiy mavzulari ham klassik, hamda zamonaviy uslublarda yoritilgan. Mazkur darslik orqali talaba mashina va inshoot qismlarini mustahkamlikka, bikrIikka va ustuvorlikka hisoblash usullari bilan tanishadi. Mashina va mexanizmlar.
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Fundamentals of Mathematics
Fundamentals of Mathematics is a work text that covers the traditional topics studied in a modern prealgebra course, as well as the topics of estimation, elementary analytic geometry, and introductory algebra. It is intended for students who. have had a previous course in prealgebra, wish to meet the prerequisite of a higher level course such as elementary algebra, and need to review fundamental mathematical concepts and techniques.
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Anatomiya 1-jild
Ushbu darslik O‘zbekiston Respublikasi Oliy va o‘rta maxsus ta’lim vazirligi hamda Sog‘Iiqni saqlash vazirligi tomonidan tasdiqlangan umumiy amaliyot shifokori tayyorlash o‘quv dasturi asosida yozildi. Darslik tibbiyot institutlarining barcha yo`nalishi talabalari uchun mo`ljallangan. Unga kattalar anatomiyasi bilan birga a ’zo va tizimlaming taraqqiyoti, bolalikning turli davrlarida kuzatiladigan yoshga xos o‘zgarishlari haqidagi ma’lumotlar ham kiritilgan. Lotin atamalari xalqaro anatomik terminologiyaga mos.
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Fundamentals of Matrix Algebra
A college (or advanced high school) level text dealing with the basic principles of matrix and linear algebra. It covers solving systems of linear equations, matrix arithmetic, the determinant, eigenvalues, and linear transformations. Numerous examples are given within the easy to read text. This third edition corrects several errors in the text and updates the font faces.
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Maxsus fanlarni o’qitish metodikasi
Darslikda maxsus fanlarni o’qitish metodikasi fanining maqsad va vazifalari, oily ta’limning o’quv-me’yoriy xujjatlari, ta’lim tamoyillari, maxsus fanlardan ma’ruza, tajriba va amaliy mashg’ulotlarini tashkil etish hamda o’tkazish metodikasi bo’yicha o’quv materiallar o’z aksini topgan. Shuningdek, darslikda talabalar bilim, ko’nikma va malakalarini nazorat qilish va baholash hamda modulli va masofaviy ta’lim texnologiyalariga oid materiallar ham berilgan.
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Yangi O'zbekistonning iste'dodli yoshlari.
O'zbekiston Respublikasi Oliy va o'rta maxsus ta'lim vazirligi, O'zbekiston Yoshlar ittfoqi, O'zbekiston Respublikasi iste'dodli yoshlarni qullab quvvatlash Ulug'bek jamg'armasi, Tuzuvchi va nashr uchun mas'uldir.
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Game Theory. Penn State Math 486 Lecture Notes
The lecture notes are loosely based on Luce and Raiffa's Games and Decisions: Introduction and Critical Survey. This is the same book Nash used when he taught (or so I've heard). There are elements from Myerson's book on Game Theory (more appropriate for economists) as well as Morris' book on Game Theory. Naturally, I've also included elements from Von Neuman and Morgenstern's classic tome. Most of these books are reasonably good, but each has some thing that I didn't like. Luce and Raiffa is not as rigorous as one would like for a math course; Myerson's book is not written for mathematicians; Morris' book has a host of problems, not the least of which is that it does not include a modern treatment of general sum games; Von Neumann's book is excellent but too thick and frightening for a first course{also it's old. If you choose any collection of books, you can find something wrong with them, I've picked on these only because I had them at hand when writing these notes. I also draw on other books referenced in the bibliography.