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BM Sürdürülebilir Kalkınma : Nitelikli Eğitim ✕Araştırmacılar : Çinara CUMABAYEVA ✕

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Dr. Çinara CUMABAYEVAMühendislik Fakültesi

Nitelikli EğitimKapsayıcı ve hakkaniyete dayanan nitelikli eğitimi sağlamak ve herkes için yaşam boyu öğrenim fırsatlarını teşvik etmek

Using information and communication technologies for the assessment of a large number of students

Kasım BARIKTABASOV | Çinara CUMABAYEVA | Ulan BRİMKULOV

Many examinations with thousands of participating students are organized world-wide every year. Usually, this large number of students sit the exams simulta-neously and answer almost the same set of questions. This method of learning assessment requires tremendous effort and resources to prepare the venues, print question books and organize the whole process. Additional restrictions and obsta-cles may appear in conditions similar to those during the COVID-19 pandemic. One way to obviate the necessity of having all the students take an exam during the same period of time is to use a computer-as ...Daha fazlası

Makale 2023 Mühendislik Fakültesi Research in Learning Technology31 27 Görüntülenme

Accuracy of Discrete Markov Approximation in the Problems of Estimation of Random Processes Characteristics

Ulan BRİMKULOV | Çinara CUMABAYEVA | Kasım BARIKTABASOV

Many computational algorithms related to Markov processes contain the covariance matrix of measurements. Approximation of covariance matrix of measurements of observed random process by the covariance matrix of Markov process is of great interest. Because it gives an opportunity to develop computationally efficient algorithms for analysis of Markov processes (parametric identification, filtering, interpolation and others). This paper presents the algorithm of approximation of the covariance matrix of the observed process by the covariance matrix of a multiply connected (m-connected) Markov p ...Daha fazlası

Konferans Bildirisi 2017 Mühendislik Fakültesi Proceedings of the 2017 Intelligent Systems Conference (IntelliSys) 117 Görüntülenme

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