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Dasturlash asoslari

O‘quv qo'llanma 330000 - «Kompyuter texnologiyalari va informatika» ta’lim sohasi yo'nalishlarida. 5130100 - «Matema­tika». 5130200 - «Amaliy matermatika va informatika», 5140300- «Mexanika» bakalavriat ta’lim yo'nalishlarida, ham- da mustaqil o'rganuvchilar uchun mo'ljallangan. Qo'llanma «Dasturlash asoslari» fanining asosiy mavzularini qamrab olgan bo'lib, talabalar fanni o’zlashtirishda foydalanishlari niumkin.

DASTURLASH ASOSLARI

Dasturlash asoslarini o'zlashtirishdan asosiy maqsad - talabalarga qo‘yiigan tadbiqiy masalani anglash, yechish algoritmini ishlab chiqish va dasturiy ta’minotini yaratish asoslarini o'rgatishdir. Dasturlash asoslarini o'zlashtirish jarayonida talaba axborot, uni saqlash usullari, qayta ishlash va uzatish, hisoblash tizimlarining matematik va dasturiy ta’ininoti, ulami fan sohaiarida, ishlab chiqarish va ta’limda qo'llash xususiyatlari, kompyutemi dasturiy ta’minoti, dastur turlari va xususiyatlari, dastumi optimallashtirish va umumlashtirish, dasturlashda modulli tamoyillami qo‘llash, kompyuter texnologiyalari yutuqlarini zamonaviy hisoblash tizimlarining matematik va dasturiy ta’minotida qo'llash. yuqori darajadagi dasturlash tillarini, dasturiy ta’minotni, dasturlash texnologiyalarini, tadbiqiy va hisoblash matematikasi masalalarini yechish algoritmlarini, modulli tahlil va modulli dasturlash asoslarini, samarali dastur va dasturlar kompleksini yaratish usullarini bilish va ulardan foydalana olish, tadbiqiy masalalami yechish algoritmini tuzish, matematik (kompyuter) modelini qurish va uning dasturiy ta’minotmi yaratish ko‘nikmalariga ega bo'ladi.

Педагогика

Республикамизнинг ҳозирги даврдаги ижтимоий-иқтисодий ривожланиш тамойиллари жахондаги тараққий этган мамлакатлар қаторидан муносиб ўрин олиш учун маънавий салоҳиятимизни ва иқтисодий қудратимизни янада оширишни талаб қилади. Бунинг учун халқимиз, айниқса, ёшларимиз дунёқарашини ўзгартириш, уларнинг билим ва маънавиятларини жахон андозалари даражасига кўтариш зарур.

МАКТАБГАЧА ПЕДАГОГИКА

МАКТАБГАЧА ПЕДАГОГИКА

Python tilida dasturlash asoslari (i-qism)

Mazkur qo‘llanma dasturlash asoslari fanini Python dasturlash tili misolida qarab o‘tilgan. Python dasturlash tili tarkibidagi barcha turdagi operatorlar, kalit so‘zlar va qoidalar batafsil keltirib o‘tilgan.

Dasturlash tili

Respublikamizda axborot – kommunikatsiya texnologiyalarini keng miqyosda qo‘llashni amalga oshirish yuqori malakali dasturchilarni tayyorlash masalasini ko‘ndalang qo‘ymoqda. Shu maqsadda tayyorlangan ushbu o‘quv qo‘llanma 5330200 – “Informatika va axborot texnologiyalari”(dasturiy ta’minot) ta’lim yo‘nalishi talabalariga "PYTHON dasturlash tili” fanini o‘qitishga mo‘ljallangan, xuddi shuningdek,

Педагогика маҳорат (ўқитувчи фаолиятини педагогик ташхислаш)

Ўқув қўлланма 5110900-Педагогика ва психология таълим йўналишда тахсил олувчи мутахассисларга мўлжалланган бўлиб унда педагогик ташхиснинг мазмуни,

Axborot texnologiyalari atamalarining izohli lug'ati

Ushbu lug'at O'zbekiston Respublikasi Prezidentining "Mamlakatimizda o'zbek tilini yanada rivojlantirish va til siyosatini takomillashtirish chora-tadbirlari to'g'risida"gi Farmoni ijrosi doirasida ART sohasi xodimlari, oliy va o'rta-maxsus o'quv yurtlari talabalari hamda barcha qiziquvchilar foydalanishi mumkin bo'lgan terminologik bazani shakllantirish maqsadida tuzildi.

ELASTIK PLASTIK QOBIQLAR

Ushbu o'quv qo'llanmada fan va texnikaning hozirgi kun talablari darajasini aks ettiruvchi, elastik-plastik qobiqlar asosiy savollari yoritilgan. Qobiqlar nazariyasi asosiy tenglamalari, silindrik qobiqlar ustivorligi, konussimon qobiqlar, tor qobiqlar, plastiklik nazariyasi asosiy qonunlari, ketma-ket yaqinlashish usulining yangi varianti asosida elastiklik chegarasidan keyin qobiqlarning kuchlanganlik va deformatsiya holati, yangi ustivorlik nazariyasi asosida silindrik va sferik qobiqlarning elastiklik chegarasidan keyingi ustivorligi bo'limlari, o'zlashtirib olish uchun qulay shaklda mukammal bayon qilingan.

O`zbek terminologiyasi

O‘quv qo'llanma talabalar, katta ilmiy xodim-izlanuvchilar va o'zbek tili terminologiyasi bilan shug'ullanuvchi tadqiqotchilar uchun mo‘lljallangan.

Visibility algorithms in the plane

A human observer can effortlessly identify visible positions of geometric objects present in the environment. However, computation of visible sections of objects from the viewpoint of a computer (robot) that operates in a Euclidean environment and moves in a physical space is not easy. To address the visibility problem, efficient algorithms have been developed. This book presents state-of-the-art visibility algorithms in two dimensions. Specifically, various problems of planar visibility, such as visibility inside connected polygons, paths, and minimal visibility polygons are discussed. Several visibility properties are enhanced through various examples and illustrations. With over 290 figures and hundreds of exercises, this book is ideal for graduate students interested in the interface of computational geometry, as well as computer graphics and a reference for researchers working on algorithms, robotics, computational geometry, and computer vision. Anyone who desires from the book can use it in a classroom or for self-study.

Neural networks: algorithms, applications, and programming techniques

The appearance of digital computers and the development of modern theories of learning and neural processing both occurred at about the same time, during the late 1940s. Since that time, the digital computer has been used as a tool to model individual neurons as well as classes of neurons, which are called neural networks. A large body of neurophysiological research has been completed since then. For a good review of these findings, see Neural and Brain Modeling by Ronald J. MacGregor (Plenum, 1987). The study of artificial neural systems (ANS) with computers mimics a similar field of biomedical research. Our interest in this area is not primarily neuroscience research. Rather, we wish to borrow conclusions and ideas from this neuroscience field to apply them to the solution of problems in areas such as science and engineering. Advances such as these are often based more on creative modeling following the results of basic research developed by any number of interdisciplinary teams. Therefore, we have highlighted the key outline and definitions of a book, but not the entire book.

Coding theory: algorithms, architectures, and applications

This book provides a comprehensive overview of key areas of coding theory and its applications in modern telecommunication systems, computer networks, and storage devices. By providing a unique blend of theoretical foundations, algorithms, and practical implementation techniques, the authors offer a valuable resource for both researchers and practitioners in the field. The text covers both classical and most recent coding techniques, ensuring readers are up to date with current trends and challenges in the domain of coding theory.

Synthesis and optimization of dsp algorithms

Digital signal processing (DSP) has undergone an immense expansion since the foundation of its theoretical underpinnings in the mid-1960s. New applications have flourished, and DSP technology itself is now central to a bewildering array of fields such as consumer multimedia, digital and mobile communications, speech, radar and sonar signal processing, biomedicine and control, to name but a few. This book provides an invaluable tutorial and reference to DSP algorithms and systems at the same time as discussing many of the emerging areas for DSP due to its enhanced relevance. Theoretical underpinnings, optimization frameworks as well as implementation details are included with microscientific rigour.

DASTURLASH ASOSLARI

M azkur o ‘quv qo‘llanmada C++ dasturlash tili haqida boshlang‘ich m a’lumotlar bayon qilingan. Asosiy e ’tibor ushbu tilda dastur yozishni boshlash uchun zarur b o ‘lgan m a’lumotlarga qaratilgan. Nazariy m a’lu motlami chuqur o ‘zlashtirish uchun qo‘llanm;u\i yctarli darajada namuna va amaliy ko‘rsatm alar kiritilgan. H ar bir m av/u bo'yicha olingan bilim larni tekshirish uchun savol va topshiriqlar tizimi keltirilgan.

ALGORITMLAR

Ushbu o‘quv qo‘ llanmada algoritm tushunchasi va uning xossalariJ algoritm ijrochilari, algoritmlami tasvirlash usullari, algoritmlarni ishlab chiqish metodlari, algoritmlar tahlili, saralash, qidiruv usullari, graflar bilan ishlovchi algoritmlar imkoniyatlari yoritib berilgan. 0 ‘quv qo'llanma bakalavriat yo‘nalishi: 5110700 - Informatika o'qitish meto dikasi ta’lim yo‘nalishida tahsil olayotgan talabalarning o‘zlashtirislii lozim bo'lgan bilimlarni o‘z ichiga oigan.