Facultatea de Matematică şi Informatică / Faculty of Methematics and Informatics

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Author: search.filters.author.Ciobu, VictorHas files: Yes

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    UTILIZAREA ANALIZEI PREDICTIVE A DATELOR MARI ÎN SISTEME INFORMAȚIONALE DE MANAGEMENT ÎN EDUCAȚIE
    (CEP USM, 2024) Ciobu, Victor; Eni, Natalia
    The education landscape is experiencing a transformation through the integration of Big Data predictive analytics into Education Management Information Systems. This abstract explores the implications and benefits of this integration. By applying predictive analytics to educational data, institutions can achieve several key objectives. Firstly, personalized learning becomes a reality as the system tailors educational content and strategies to the individual needs of each student. This results in improved student engagement and academic outcomes. Furthermore, early identification of students at risk of academic failure becomes possible through predictive analytics. These students can receive timely interventions, reducing dropout rates and improving overall educational success. Predictive analytics also can assist in resource allocation by optimizing the distribution of resources, both human and material, according to the actual needs of the educational system. This leads to cost savings and a more efficient use of available resources. In conclusion, the integration of Big Data predictive analytics into Education Management Information Systems will have the potential to revolutionize education by enhancing personalized learning, reducing academic failures, optimizing resource allocation, and continuously improving educational programs.
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    ADAPTIVE APPLICATION FOR COMPLEX SYSTEMS MODELING
    (CEP USM, 2017) Căpățână, Gheorghe; Ciobu, Victor; Paladi, Florentin
    The paper presents a formal system for presentation and measurement of applications adaptability, and describes an original methodology for building adaptive applications from various fields of activity/research, including for computer modeling of complex systems in physics.
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    ELABORAREA SISTEMULUI INFORMAŢIONAL NAŢIONAL ADAPTIV PENTRU AUTOMATIZAREA PROCESELOR DE TESTARE TEHNICĂ A VEHICULELOR
    (CEP USM, 2015) Ciobu, Victor
    Sistemul informaţional „AutoTEST” a fost elaborat pentru îndeplinirea regulilor de înmatriculare şi testare tehnică a autovehiculelor şi remorcilor, conform Hotărârii Guvernului Republicii Moldova nr.1047 din 08.11.1999. Sistemul elaborat este un sistem adaptiv cu bază de date distribuită. Platforma tehnică este Oracle Database Express Edition 11g şi Oracle Application Express, ca instrumente software de dezvoltare. Domeniul de aplicare a acestui sistem informaţional este evidenţa testării tehnice anuale obligatorii a vehiculelor. Sistemul informaţional „AutoTEST”este implementat la nivel naţional pe întreg teritoriul ţării la 82 staţii de testare tehnicăşi la Agenţia Naţională de Transport Auto (ANTA).
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    SISTEM INFORMATIC ADAPTIV „DETERMINAREA STĂRILOR PROPRII ALE MOLECULELOR DE FULLERENE”
    (CEP USM, 2015) Ciobu, Victor; Paladi, Florentin; Căpățână, Gheorghe
    În articol sunt studiate comportamentul şi proprietăţile fizice ale fullerenelor. Avantajul tehnologiilor informaţionale inteligente este de a construi automat programul de calcul din specificarea iniţială a problemei slab-structurate şi informaţiile de concretizare, furnizate de către beneficiarul problemei în cadrul dialogului cu SSD (parametrii necunoscuţi ai problemei, metoda de calcul, criteriile de optimizare etc.). SSD a fost folosit la cercetarea fullerenelor: C60, C70, C76, C82.