PORTFOLIO / UNIVERSITY PROJECTS

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dipl. ing.

Faculty of Engineering

Department of fluid mechanics and computational engineering

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Advanced computational analytics in engineering


The Advanced Computational Analytics in Engineering project aims to create a unique academic curriculum in order to meet the growing demands for improved education of students in the application of advanced computer analytic methods in engineering. The project will be implemented at the Faculty of Engineering in collaboration with the Center for Advanced Computing and Modeling.

The project envisages the integration of four courses, totaling 21 ECTS points, through which students of mechanical engineering and computer science at the Faculty of Engineering will acquire theoretical knowledge in programming, parallel computing, optimization procedures in technology, and methods for system and data analysis. The teaching process will partly focus on seminar tasks and projects through which students will work on thematically defined problems depending on expertise and scientific field. This will introduce students to the principle of a real, joint project approach that awaits them in their professional work. Therefore, in addition to competencies in the subject matter, they will also improve teamwork competencies. The project aims to define a flexible curriculum that can be adapted to the themes of various STEM fields and thus adopted by different Faculties.

The expected results of the project are the successful implementation of a pilot program, within which students who have successfully passed the proposed courses will attain an additional certificate of completion of the micro-qualification, which is the first step towards open personalized education. The implementation of the proposed curriculum will facilitate cooperation with the economy, which has an increasing demand for the application of these techniques.

The proposed curriculum also represents the beginning of a program that should be expanded and include additional teachers and researchers in the next phases. It should be offered in the long term to other University components and partner Universities.

ASSOCIATES

Prof.dr.sc Lado Kranjčević dipl. ing.,e-mail

Prof.dr.sc. Zoran Čarija dipl.ing.,e-mail

doc. dr. sc. Stefan Ivić mag. ing. mech.,e-mail

Ivana Lučin,e-mail

Ante Sikirica,e-mail