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  • Teaching the Analysis of Newton’s Cooling Model to Engineering Students
    63-68
    Views:
    93

    To apply mathematical methods to physical or other real life problem, we have to formulate the problem in mathematical terms. It means that, we have to construct the mathematical model for the problem. Many physical problems shows the relationships between changing quantities. The rates of change are represented mathematically by derivatives. In this case the mathematical models involve equations relating an unknown function and one or more of its derivatives. These equations are the differential equations. In this article, teaching the analysis of Newton's cooling model to engineering students is presented as one of the applications of separable differential equations.

  • Parametric Programming Applied to the Optimal Production Structure in Determining
    375-389
    Views:
    114

    The agricultural planning often the question arises, how the different input (fertilizer, feed, irrigation, etc) from what to use on a production (land, animals) unit basis, and to what intensity. The input transformational efficiency experiments by setting analysis and evaluation. For example examined the nutrient replenishers fertilization experiments, the effect of nutritional values of the feed on the body weight gain, milk production in animal experiments. The input input efficiency to the external environment (weather, soil conditions, unexpected events), the technology used and the biological factors both influence. The farmer must be chosen in each sector, taking into account the magnitude of these inputs and environmental requirements. The economic optimum is usually trying to approach the sectoral level, which serves as the basis for future planning data. The mathematical programming models using relatively simply and quickly determine the optimal production structure. The models provide the specific resource requirements for, and the limitations of the objective function coefficients are calculated on the basis of sectoral. This becomes a deterministic model, and we can get the appropriate sectoral analyzes outstanding results of production structures. Therefore the relationships within sectors directly incorporate mathematical programming model and corporate interests placed above the interests of the industry to determine the intensity of the sectoral inputs. in their article a fertiliser application example, we present the production structure and the plant production sector fertiliser input of a time optimization, in which the fertilizer for specified sectoral relationships appear in the model objective function.

  • A numerikus számítások szerepe a műszaki modellekben
    76-83
    Views:
    111

    Application of numerical methods and stochastic approach should have a bigger role in the Mathematics programme of the secondary schools. Studying economic and engineering problems leads to better understanding of the significance of mathematical models in practice. In our mini-course we introduce several topics related to mathematical modelling of systems and processes to present the applicability of mathematical  calculation methods in the everyday life.

  • Using Mathematical Models in Secondary Grammar Schools
    76-83
    Views:
    49

    On February 11, 2021, I gave a motivational lecture at the Tamás Esze High School in Mátészalka, and I completed a series of test tasks with the students. In this article, I looked for an answer to how students who are about to graduate approach to solving math problems. The main objective was to investigate whether they prefer to solve purely mathematical or application-oriented tasks, and in which one they achieve better results. In this paper, I analyze the results obtained.

  • Globalization in Higher education, Advantage and Disadvantage of Online Education
    1-9
    Views:
    99

    This article was prepared with the support of PADME (Pallas Athéné Domus Meriti). E-learning has many advantages and disadvantages. Among these, I would like to highlight some of the more important ones, as well as present the results of my surveys in which I assessed university students' modeling, abstraction and lexical knowledge before and after online education.

  • Development of engineering and innovation skills
    364-369
    Views:
    149

    Spatial visualization skills have an important role in teaching and learning of engineering studies. Many studies have shown that there are correlations between various measures of spatial skills and performance in particular Science, Technology, Engineering and Mathematics (STEM). Many engineering students have problems with solving mathematics problems, using mathematical models in practice, imagining a spatial figure and therefore to solve the spatial geometry exercises, so development of these abilities is very important. We have developed special tools and worksheets for development of engineering and innovation skills.

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