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Item Open Access Analysis of Course Schedule Generation Tool and Its Integration to University Automation System(Faculty of Engineering and Natural Science, 2020) Zhuniskhanov M.This research examines the university course schedule generation problem. It begins with the definition of the inconveniences of the old system. Then determine the importance of reducing the resource usage while integrating with the university automation system. This discussion integrates with an overview of the problem itself both from practical and academic perspectives. Then course schedule generation algorithms discussed with the ways of implementing it. This is followed by benchmark and resource usage comparison.Item Open Access Variety of Bicommutative Algebras defined by identity(Faculty of Engineering and Natural Science, 2022) Makhasheva A.One of the important questions in modern algebra is to study algebras satisfying certain identities. There are two questions in the theory of polynomial identities. The first is to describe an algebra by a defined identity. The second is to describe identities in algebra. The study of identities will help us in the construction of basis of free algebra, in the study of the Hilbert sequence, the Specht problem and problems of the finite basis. In this work, we used two different research methods. First, the theory of representations of symmetric groups. Second, the theory of representations of linear groups. In this research paper, we have completely described the subvariety of variety of bicommutative algebras defined by the identity α[(ab)c+(ba)c+(ca)b]+β[a(bc)+a(cb)+b(ca)]=0.Item Open Access Principal component analysis and it’s application to analysing factors affecting choice of university major(Faculty of Engineering and Natural Science, 2020) Assanbayeva G.The study is considered the identification of the main factors affecting the selection of study field.As an application, we develop a construct to measure factors that affect college students in their major selection.It is a multilingual building in three languages,namely,Kazakh,Russian,English.We conducted a survey of 27 Likert scale items in 3 languages,which is being conducted among 314 undergraduate students in Kazakhstan.The overall reliability of the test is calculated to be 0,856.The nine scales are the effect of Uniform National Testing, state grant affect, personal interest affect, skills affect, occupation salary affect, teacher affect, external affect, university cost affect, parent’s affect.The result of study can be used to help universities to improve their competences in attracting students.For these used PCA method and as a software used a Python programming language. Also,we investigate the main factors that influenced the Kazakhstani students most.We tested any differences in terms of gender when it comes to major selection factors.As most participants were among Suleyman Demirel University,we also wanted to see if there any differences between factors that influence Suleyman Demirel University students major selection to students of other local universities.The statistical data analysis show that students found themselves to be the most influential by 6 factors out of 9 ,namely,influence of state grant, influence of university cost, occupation salary impact, national test impact, influence of personal interest and influence of personal skills.Hypotheses testing are carried out using the T-test.Findings also suggested that, there is no difference between these 6 factors depending on gender.Also,no differences were found among university and factors.Item Open Access Development of a mathematical model of the real estate provision system in Kazakhstan(Faculty of Engineering and Natural Science, 2020) Bayadilova G.This dissertation presents the results of the analysis of state housing programs for citizens of the Republic of Kazakhstan. The main parameters and requirements for making decisions on the housing issues were analyzed in the framework of compliance with the state requirements. As a result of the analysis, a table was developed that includes the main criteria and requirements for the state program, which serves to determine the number of steps and opportunities for obtaining housing in the Republic of Kazakhstan. These analysis results determine the requirements criteria for constructing a mathematical model and assessing the obtaining housing under the state program, depending on the time and steps for implementing the demand of state programs. The first chapter is Introduction chapter. Where we describe in detail, the current situation in the housing market and the main problems faced by those in need of housing. Chapter 2 is Preliminaries. Here we briefly described the problem that needs to be solved. In chapter 3, statistics on the provision of housing for citizens of the Republic of Kazakhstan were reviewed. The ratios between the number of new apartments commissioned and the newlyweds by the family are calculated. As well as the relationship between new apartments and demographic growth. The types of social security programs of other countries are considered. In chapter 4, we analyzed the main state housing programs in the Republic of Kazakhstan. All conditions of state and market mortgage lending programs are described. When studying the housing market of the republic, mortgage programs for the acquisition of housing and rental of housing were highlighted. In chapter 5, discussed the results of a study to build a mathematical model to calculate the effectiveness of government programs. The basic parameters of constructing a mathematical model of housing acquisition are described. A mathematical model for the acquisition of housing under existing programs in the Republic of Kazakhstan has been developed. Considered 8 ways to purchase housing. The mathematical model is developed separately for each program. And in chapter 6, we conclude our conclusion. Briefly outlined is the work on the synthesis of housing processes for the main steps. And also it is written about the work done on the analysis of convergence, the identity of processes and operations. The area of use of the mathematical model is described.Item Open Access Nonlinear modeling of COVID-19 and the significance of testing: the case of Kazakhstan(Faculty of Engineering and Natural Science, 2022) Kali A.It has been more than two years since the world faced a global pandemic of COVID-19, which affected the global economy negatively and took many human lives. This paper considers the extended susceptible-exposed-infectious-recovered (SEIR) model and finds out whether it is effective for the government of Kazakhstan to conduct massive free PCR testing of the exposed population. To this end, we constructed a new mathematical model and the government cost function that incorporates the hospital cost for the COVID-19 treatment and the cost of PCR testing. To address the above-mentioned objectives, we constructed nonlinear differential equations for our epidemic model and numerically solved them. Furthermore, the government’s cost was modeled as a function that depends on the rate of PCR tests. The findings of the numerical analysis show that the government’s cost is minimized if the exposed individuals were tested for the disease as often as possible. Moreover, testing both susceptible and exposed individuals is not beneficial in terms of the economic cost.Item Open Access Development of algorithms and software for recognition of airway inflammation based on image processing(Faculty of Engineering and Natural Science, 2020) Tastembekov A.Every person is always happy to make sure that everything is good with his body and that he is not ill. It is the desire of doctors and their patients not to face the consequences of diseases, but to timely detect or prevent them makes diagnostic procedures so popular. The X-ray is one of the most common methods for diagnosing various lung diseases and is prescribed much more often than other types of examinations - magnetic resonance imaging or computed tomography. In this thesis, we develop an algorithm and application to analyze X-ray images to predict airway inflammation. We preprocess the data by cropping the lung area to have more accurate results at analysis. Our goal is to help the medical system in a mass preliminary inspection during the SARS-COV-2 pandemic. The results obtained in this work can be used in the future to help doctors to conduct the examination more efficiently, which will reduce the time spent on each person.Item Open Access Speech Recognition of Kazakh Language(Faculty of Engineering and Natural Science, 2020) Aitimov K.In this research, an overage implementation of speech recognition revised. Here you can find algorithms and logic of how to convert digital signal into reasonable text. In common, all the signals recorded in m4a file format. You also will learn how to convert sound waves into digital signals, so you can use it wherever you like. In our days IT, technologies are expanding in an exponential level. There are many robots, which can understand human speech. Why we can’t create one of our own? Kazakh language will also be presented in technology world. That is our goal!Item Open Access СОЗДАНИЕ ВИРТУАЛЬНОЙ ИНФОРМАЦИОННОЙ СИСТЕМЫ АНАЛИЗИРОВАНИЯ И НАБЛЮДЕНИЯ ЗНАНИЙ УЧЕНИКА(Faculty of Engineering and Natural Science, 2013) Тунжер И.Одно из самых важных в процессе обучения является измерение знаний и оценка. В ходе процесса обучения при помощи оценки мы можем определить уровень знаний учащихся. Чтобы узнать, насколько понят и освоен материал, необходима регулярная проверка знаний. В понятие проверки входит оценивание (как процесс) и оценка (результат). Основная задача контроля - выявление уровня правильности, объема, глубины усвоенных учениками знаний, получение информации о характере познавательной деятельности, об уровне самостоятельности и активности учащихся в учебном процессе. определение эффективности методов, форм и способов их учения. После завершения контроля знаний и оценки, необходимо как можно раньше провести работу над ошибками и как можно раньше уведомить родителей. В наш век информационных технологий проблему предоставления точной информации в срок можно решить достаточно эффективно, ведь есть интернет, есть мобильный телефон.Item Open Access ОҚУ ҮРДІСІНІҢ КӨПМАҚСАТТЫ АВТОМАТТАНДЫРЫЛҒАН ОМІЛМЕ ЖҮЙЕСІН ҚҰРУ(Faculty of Engineering and Natural Science, 2013) Омаров Б.Ш.Мектеп оқушыларының білім алуы мемлекетіміздің болашағы, әрбір отбасының болашаққа деген үміті. Осы орайда қазіргі нарықтық заманда барлық дерлік ата-аналардың өз бүлдіршіндерін толықтай бақылауға алуға мүмкіндіктері жоқтың қасы. Барлығы дерлік жұмыста. Мектеп әкімшілігі, ұстаздары мен ата-аналар арасындағы байланыс әрдайым жоғары дәрежеде болуы керек. Кейде баланың білім алуы күрт төмендеп кетеді. Осы мәліметтерді ата-аналарға әрдайым қолжетімді қылудың бірден-бір жолы интернет желісін пайдалану арқылы болып отыр. Қараусыз қалған баланың сабақтардан алыстап, дұрыс жолды емес бұрыс жолды таңдауы әбден мүмкін. Мектеп, ұста және ата-ана қадағалауындаболатын оқушыға дер кезінде көмек көрсетуге болады. Тәрбие мен білім әрдайым бірге жүретін ұғым. Бұл диссертациялық жұмыстың мақсаты интернет желісінде мектеп оқушыларының үлгерімі, емтихан нәтижелері, олимпиадаға дайындықтары, 11- сынып оқушыларының ҰБТ-ға дайындықтарының нәтижелелерінің берілгендер қорын құрып әрдайым оқушы мея оның ата-анасына қолжетімді ету. НТМІ, РНР және МҮ 50ОІГ, сияқты веб программалауға арналған тілдердің көмегімен осы қойылған мақсатты шешу бағытында веб сайт дайындалған. Онда жоғарыда аталған мәліметтермен қатар оқушы өтілген тақырып бойынша өзінің қаншалықты түсінгенін бақылау мақсатында онлайн режимінде тест емтиханын тапсырып нәтижесін көре алады. Қазіргі таңда электронды үйрену өте қарқынды дамып келе жатыр. Себебі бүкіл балалар техникаға, оның ішінде компьютер мен интернет желісіне өте қатты қызығады. Осы қызығушылықты пайдаланып оқушыларға білім беру қазіргі таңдағы ұстаздардың басты міндеттерінің бірі. Оқушылар интернетті тек хат, хабар алысу үшін ғана емес, оны өз білім дәрежесін бақылайтын орта, өз-өзін сынайтын ортаға айналдыру көзделген. Оқушы ата-анам мектепке келмейді бағаларымды білмейді дегеннен құтылады. Себебі көптеген жұмыс орындарында, үйде интернет барлық жанұяларға дерлік қолжетімді.Item Open Access «FLASH» БАҒДАРЛАМАСЫН ӨЗДІГІМЕН ҮЙРЕНУ(Faculty of Engineering and Natural Science, 2013) Жаңабай Қ.Дайындалған диссертацияның негізгі мақсаты: Оқушылардың Flash бағдарламасын үй жағдайында өздігімен меңгере білуіне мүмкіндік жасау. Оқу құралы ретінде веб-сайт дайындалды. Веб-сайт видео сабақтар, практикалық жаттығулар және өз білімін тексеретін тесттерден құрастырылған. Оқушы сабақ уақытында сол күнгі сабақты дұрыс түсінбеген жағдайда немесе белгілі себептермен қатыспаған болса, оқушы бос уақытында қосымша сабақ ретінде оқу құралын қолданып дайындала алады. Видео сабақтар оқу бағдарламасына сай бекітілген тақырыптарға түсірілген. Тақырыптар кіші топтарға бөлініп оқушыларға оқу материалдарын меңгеруін тездетуге және оңайлатуға мүмкіндік жасап, ең маңызды, керекті жақтары алынып және оларға жақсы мысалдар беру арқылы түсіндірілген. Нәтижеде оқушылар оқу құралын пайдала отырып Flash бағдарламасына деген қызығушылығы артты. Олар өздігімен түрлі анимациялар, ойындар және кіші мультфильмдер құрастыруға қабілеттері ашылды.Item Open Access JOOMLA МҮМКІНДІКТЕРІН ҚОЛДАНЫП МЕКТЕП САЙТЫН ҚҰРУ(Faculty of Engineering and Natural Science, 2013) Аширметов А.Республикамыздың білім беру жүйесін ақпараттандыру - еліміздің даму стратегиясының негізгі бағыттарының бірі, себебі ХХІ ғасыр - білім беру жүйесін ақпараттандыру ғасыры. Ұсынып отырған ғылыми жұмысты бастауға осындай ізгі мақсат түрткі болды. Бұл жоба болашақта мектеп қабырғасында УУеһ - сайт құру технологияларын қолданып, үлкен жобалар жасауына түрткі болар деген сеніммен осы ғылыми жұмысты ұсындым. УУеь-сайт бұл дүниенін кішкентай моделі. Бұрынғы кезде У/е5-сайтты бір адам - У/еһ-мастер жасаған болса, қазіргі кезде У/Уер-сайттарды бірнеше адам жасайды. Олар У/еһ-дизайнер, программист, бизнес-кеңесші, маркетинг бойынша басқарушы, менеджер. У/еһ-мастер мамандығы қазіргі кезде өзінің кұпиялығын жоғалтып жатыр, ал сайт жасау технологиясы зертхана сыртына шығып көпшілікке белгілі болып жатыр. Бұның негізгі белгісі Интернетжобаларға өсіп жатқан инвестициялар, УУев-сайттардың күрделі білімдік, ғылыми, комерциялық мүмкіндіктері. Өзіміз білетіндей Іпіегпей желісі түрлі сайттардан тұрады. Сайттарды пайдалана білуменқатар оны құра білу де қажет. Ол әрине көптеген. жұмыстарды қажет етеді, ең бастысы ол не мақсатта құрылып жатыр? Әрбір УУев-сайт тексттен, суреттерден, Видео үнтаспаларынан тұруы мүмкін. Мұндай сайттар ғаламшардың кез-келген нүктесіндегі компьютерде болуы мүмкін. ҮУЕВ-тің негізгі қызметі- қажетті ақпаратты шапшаң түрде кіріп көру, жинастыру және де оны экранға шығаруды ұйымдастыру. Бұл диссертациялық жұмыста сайт жасаудың дайын сайтты басқарудың жүйесі яғни /оотпіа қолдануға немесе сайтты бағдарламалау тілдері яғни РНР, Руфоп, 7ауа, Регі, Авр арқылы өзінің басқару жүйесін жасау арқылы құруға болатындығы түсіндірдім. /оотіа - дүние жүзінде ашық кодты мәлеметтерді басқару жүйелері арасында бірінші орында. Ол бүкіл дүние жүзінде қолданылады, /оотіа арқылы шағын сайттардан бастап үлкен жобаларға дейін жасауға болады. Мысал ретінде /оопШа басқару жүйесі арқылы жасалған ууууу/.рауК.К2 сайтын жасау барысы қарастырылды.Item Open Access «МУЛЬТИСЕРВИСНАЯ СЕТЬ КАМПУСА СДУ»(Faculty of Engineering and Natural Science, 2012) Амреев М.Б.В последнее время с завидным постоянством идет речь о новинках интернеттехнологий, анонсируемых тем или иным оператором связи. Речь пойдет о технологии, которая в ближайшее время может заменить Егате Веау/АТМ. Это технология МРГ5, которая будет интересна по соотношению цена /качество прежде всего корпоративным клиентам. МРГ.$ (МиаРгоюсо| Габе! Зет?) — это технология коммутации пакетов на основе использования меток в многопротокольных сетях. МРГ5 изначально предназначена для построения магистральных [Р-сетей с высокими возможностями в области управления трафиком и качеством сервиса. Мешо Ещегте — это технология построения сетей агрегации на основе технологии Ефегпе{. Выбор Ефегтее не случаен, так как эта технология давно уже является стандартом де-факто для локальных сетей. Мено Еее: представляет собой концепцию предоставления услуг сети Ефегле: в масштабах города. Гибкость технологии Ефегпеь её относительная дешевизна, а также очень большая распространенность и вероятность поддержки сетевым оборудованием различных производителей делает Мено Ефегие! сети практически идеальным выбором для построения пакетной агрегационной магистрали города. Клиент в этом случае получает несколько вариантов виртуальных каналов связи с большим количеством параметров, ответственных за качество услуги, снижая при этом свои затраты на сетевое оборудование (сетевые интерфейсы типа Ефегпе! имеют низкую стоимость) и расходы на приобретение услуги (стоимость услуги на базе Ейегпе: ниже аналогичных услуг ввиду меньших затрат и расходов провайдера на поддержание и эксплуатацию оборудования сети Е#егпей. Мировая тенденция такова, что количество подключений по протоколу Егате Кеау постепенно уменьшается, подключения по протоколу АТМ держаться примерно на одном уровне, а число подключений к УРМ, построенным на базе МРТ.5, стремительно растет. В России, например, данная технология очень активно внедряется такими крупными телекоммуникационными операторами, как Едиат, ВТСошш, ТрансТелеКом.Item Open Access ОБУЧЕНИЕ ОСНОВАМ ПРОГРАММИРОВАНИЯ СТУДЕНТОВ, ОБУЧАЮЩИХСЯ ПО СПЕЦИАЛЬНОСТИ “МАТЕМАТИКА”(Faculty of Engineering and Natural Science, 2013) Айтасов Р.Данная исследовательская работа заключает в себе разбор языков програмирования и выбор наиболее оптимального силабуса дальнейшего обучения студентов на специальности «Математика» инженерного факультета университета имени Сулеймана Демиреля. В докладе предлагается своеобразное новое направление курса «Языки програмирования для математиков», а именно выбран подходящий формат обучения програмированию с точки зрения математического мышления.Item Open Access СОЗДАНИЕ ИНФОРМАЦИОННОЙ БАЗЫ ПЛАНШЕТНЫХ КОМПЬЮТЕРОВ 1РАР ДЛЯ ИНТЕРАКТИВНОГО ВЕДЕНИЯ УЧЕБНОГО ПРОЦЕССА(Faculty of Engineering and Natural Science, 2013) Абылаев Ф.Учебно-воспитательный процесс в учебном заведении имеет целостный характер. Учитель постоянно контролирует учебно-познавательную деятельность своих учеников, корректирует их знания, навыки и умения, направляет их работу и вносит изменения и уточнения в их подготовку или усвоение знаний в соответствии с выявленными пробелами. Одной из проблем учебно-воспитательного процесса заключается в заинтересованности учащегося в преподаваемом предмете. Решить эту проблему можно при помощи планшетных компьютеров 1Рад. Потому что в этом планшетном компьютере обычные уроки становятся динамичными и интересными. Целью данной диссертационной работы состояло в создании информационной базы планшетных компьютеров {Ра4, чтобы сделать введение учебного процесса стало болёе интерактивным. Задача состояла в разработке приложения, с помощью которого можно было бы добавить в учебный процесс, интерактивность, используя новые технологии. Созданное приложение для планшетных компьютеров ТЕА является одним из тех приложении, которое может помочь преподавателям заинтересовать учеников и сделать урок еще более интерактивным. Ученики же в свою очередь смогут научиться пользоваться новыми технологиями с пользой для себя, а не только как средство для развлечений.Item Open Access Empowering Kazakh Text Generation: Developing a Meaningful Natural Language Processing Model for Kazakh Language(Faculty of Engineering and Natural Science, 2024) Karimov Zh.Nowadays, NLP is getting more and more popular due to the vast development of the computing units such as GPUs and CPUs. Especially, recent GPU models allow researchers to process analyse and process terabytes of text and audio data in a short period of time. The problem is that the data is not unlimited and has its own threshold value, therefore data augmentation is one of the techniques of data synthesis, the development of which can produce good effect on the Science of Kazakhstan, to be more precise on the kazakh language processing research area. This research aimed to develop and compare state-of-the-art uni-directional and bi-directional LSTM architectures in order to determine which one is more effective in a task of generating synthetic, kazakh language based text data. Generated synthetic data can be used in a variuos NLP tasks such as training NLP models, content generation, text classification and domain adaptation. By generating synthetic data scientist can overcome data limitations, model overfitting and open new abilities in adjusting and increasing model performance. Architectures used in this research are Uni-directional and Bi-directional LSTMs. After many training session and model parameters tuning the study shows that Bi-directional LSTM has its own pros and cons over the traditional Uni-directional LSTM. Bi-directional neural network learns well and understands the relationship between words better than Uni-directional one, but as expected the training process takes much more time as it extracts the information from the input text in both directions. The dataset used in this study consist of 10 000 unique rows of text taken from the kazakh language based Wikipedia area where each row has median as 80 word sequence. It worth to mention that in order to understand the model relationship between the words study proposes the usage of FastText pre-trained kazakh word vectors as an embedding layer for the both models. This layer turns the input words into vectors where similiar words have close vectors. Finally, the research takes a step towards generating synthetic data with the help of which future works can avoid the problems of data limitations, on the other hand researchers can save the time by ignoring ineffective model selection problem and considering this study’s models comparison.Item Open Access Using the Programming Environment Scratch in Kazakh Schools for Development of Children(Faculty of Engineering and Natural Science, 2013) Zhumagulova D.G.The main aim of this thesis paper is to produce educational material about Scratch programming environment for use in Kazakh schools for development kids. As a teaching material was prepared tutorial-book. The tutorial consists of fifteen laboratory works. Each lab is constructed so that doing the work a student is studying a new subject. After each lab there are conclusion of the lesson and lesson quizzes and assignments. | If a student did not understand the given topic of school material for that day or he did not participate at the classes due to certain circumstances then he can use this tutorial as an additional class dnd prepare at home. Topics are divided into small groups and explained with the most important and relevant information with examples so that students could learn the course material more quickly and easily. As the result, students will get more interested in programming after programming on Scratch. They will have abilities to crate animations, games and short cartoons by themselves.Item Open Access MICROLEARNING IN COMPUTER NETWORKS(Faculty of Engineering and Natural Science, 2012) Zhamanov A.In nowadays we have much kind of problems in the system of higher education. Actually there are a lot of reasons. But in this thesis I will explain only one reason. Only one but in my opinion it is one of the main reasons. Students especially in our university everyday get very huge amount of information. Every student can take up to 8-9 courses in one semester. During one day student will have to go to 5 - 6 lessons. From every lesson he will have to read at least one chapter. It will take about 1 - 2 hour to read chapter and to understand it. So you can see that it will take very big amount of time for a student to understand all lessons and it will be very hard for him/her to do everything in time. But this is only one side of a coin. According to a Soviet Union system of education. Student has to read very much if he wants to learn some topic. He reads a lot of information about the things that are concerned with his topic. This is a good practice but unfortunately not now. Because now it is information age. Information is increased every day. And it is not possible to know everything. Especially this is true for information technologies sphere where new technologies are developed every day. The thing that you learned yesterday may be not needed tomorrow because it will be old and new technologies will come and you will have to relearn again. So what can we do in this situation? We can use the microlearning method which is very popular now in the world. The main principle of this method is to divide one huge complex information into many small pieces and try to make them as easy as possible. Leave only main parts, only necessary things and try to give more good examples. This makes work very easy. You can learn a small part of information in 15 minutes and then practice it. And in this way you learn step by step until you will learn everything at all. Now when you know enough about this topic you can deal with complex things related to your topic. Because you are aware of what it is about. You have so called fundament. Let me show an example. Say you want to learn what Computer Networks is. We have many books that explain you what is this Science about. But most of these books are very huge and sometimes boring books. Instead many people are making search request in Google and find good tutorials for them. For example w3schools.com. Why? Because it will take about 20-30 minutes for you to understand the main principle of Computer Networks without going into details. If you want to learn more about this topic, ] mean if you want to learn some specific or more detailed information about it, then you can read a book. And because it has exhaustive examples that can teach you a lot. Also it is very good to memorize this topic. Now I will try to explain my idea more clearly.Item Open Access Real-time Sound Anomaly Detection in Industrial Environments with Deep Learning(Faculty of Engineering and Natural Science, 2024) Zhailau M.This research uses deep learning to explore the field of sound anomaly detection in industrial settings in response to the growing need for improved industrial efficiency and safety. Centered on taking care of the constraints of conventional techniques, the study examines the effectiveness of several deep learning architectures, such as hybrid models, recurrent neural networks (RNNs), and convolutional neural networks (CNNs), in identifying abnormal noises. With a focus on rigorous evaluation of datasets, preprocessing methods, and benchmarks, the survey offers a thorough picture of the most recent models and their uses in a variety of industrial areas. This research compares deep learning with traditional methods for sound anomaly identification and looks at performance evaluation criteria. Case studies and realworld implementations demonstrate the usefulness of the enhancements. While highlighting the need for innovative approaches to enhance the practical usefulness and robustness of deep learning-based sound anomaly detection in industrial settings, the research also points out its shortcomings and makes recommendations for future directions. This research not only contributes valuable insights into the intersection of deep learning and industrial sound analysis but also serves as a pivotal guide for researchers and practitioners seeking to navigate the complexities of deploying effective sound anomaly detection systems.Item Open Access Personalized Career-Path Recommender System for STEM Students(Faculty of Engineering and Natural Science, 2024) Zhalgassova Zh.This dissertation introduces a Personalized Career-Path Recommender System (PCRS) designed to help high school students in Kazakhstan, particularly those interested in STEM (Science, Technology, Engineering, and Mathematics) fields. The system uses the Myers-Briggs Type Indicator (MBTI) personality types and students’ academic performance to offer personalized recommendations for university specializations. The research addresses the common challenges faced by students, such as high dropout rates and frequent changes in majors, often due to the lack of structured career guidance. To tackle these issues, the study collected a variety of data, including students’ demographics, academic records, and personal attributes, as well as detailed profiles of university majors. Advanced machine learning techniques, including content-based filtering, collaborative filtering, fuzzy logic, and hybrid approaches, were used to process this data and generate accurate recommendations. The effectiveness of the PCRS was tested with real data from students at SDU University. The results show that the system can provide relevant and personalized career guidance, significantly improving students’ decision-making processes and satisfaction with their chosen specializations. By combining MBTI personality assessments with academic performance data, this research offers a fresh approach to educational technology and career counseling. The insights and methods developed in this study can be adapted for use in other regions facing similar challenges, ultimately helping more students make informed and satisfying career choices.Item Open Access Automatization of object detection with AI(Faculty of Engineering and Natural Science, 2024) Ulykbek A.This study performs a comprehensive analysis of the YOLO (You Only Look Once) object detection method, painstakingly evaluating its performance on a wide range of image formats. The investigation’s main focus is on critical metrics that are carefully examined across set of different images, including processing time, frames per second (FPS), and important metrics related to object detection. By means of this rigorous examination, the research reveals noteworthy variations in the algorithm’s effectiveness, illuminating its intrinsic merits and demerits under various circumstances and situations.These results provide a vital source of information for practitioners and researchers working in the field of real-time object recognition applications. They enable them to make informed decisions and create optimization plans specifically for YOLO-based systems. This study provides stakeholders with the tools and considerations needed to efficiently negotiate the complexity of real-world deployments by providing a detailed understanding of the algorithm’s performance peculiarities, thereby promoting improvements and innovation in the field of computer vision.