Employees with data literacy skills have become highly valuable in today’s economy and labor market. More than ever before, employers demand some degree of from all employees, regardless their professional role. New technologies offer many exciting possibilities, but there is no point having increasingly quantities if nobody knows how to explore it efficiently. The aim this study examine at the...

We introduce a new way of computation of time dependent partial differential equations using hybrid method FEM in space and FDM in time domain and explicit computational scheme. The key idea is quick transformation of standard basis functions into new simple basis functions. This new way is used for better computational efficiency. We explain this way of computation on an example of elastodynam...

Data gaussianity is an important tool in spatial statistical modeling as well experimental data analysis. Usually field and observation deviate significantly from the normal distribution. This work presents alternative methods for transformation revisits applicability of a modified version well-known Box-Cox technique. The recently proposed method has significant advantage transforming negative...

This paper describes an ongoing research work on developing methods for effective visualisation support for situation analysis, decision making, and communication in the course of disaster management. The major goals are to reduce the information load of the analyst, decision maker, or information recipient without omission of anything important and to ensure quick and accurate comprehending of...