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Research-based technology education - the EDURES partnership experience

Wdowik Roman, Magdziak Marek, Dzierwa Andrzej, Ciecińska Barbara, Podulka Przemysław, Litwin Jolanta, Bełzo Artur, Borowiec Artur, Nazarko Piotr, Wiater Agnieszka, Markopoulos Angelos, Hojati Faramarz, Azarhoushang Bahman, Pushchak Iryna, Romanini Mariaelena

Technologia i Automatyzacja Montażu

2023

nr 3

45--56

The paper presents the state regarding practices in teaching at partner universities of the EDURES project and current approaches supporting research-based education. It also presents the needs of various groups of stakeholders formulated on the basis of survey results. Moreover, the paper proposes tools and strategies which are useful if research results are implemented in teaching programmes at technical universities (research-based lectures, e-learning, web portal methodologies, wizards, etc). It is finally stated that research-results implementation into teaching processes is possible by the use of various tools and approaches proposed by the EDURES partnership and has the potential to be appreciated by students, academics and external stakeholders.

Artykuł przedstawia opis zagadnienia dotyczącego nauczania opartego o wyniki badań oraz aktualnie stosowane praktyki partnerów projektu EDURES. Przedstawiono potrzeby interesariuszy na podstawie wyników ankiet. Przedstawiono także narzędzia i strategie użyteczne podczas wdrażania wyników własnych badań w programach nauczania na uczelniach technicznych (wykłady oparte na wynikach badań, e-learning, metodyka portalu badawczego, narzędzia internetowe). Należy stwierdzić, że wdrażanie wyników badań w procesach nauczania jest możliwe przez zastosowanie różnych narzędzi i w oparciu o różne strategie, które zostały opracowane w ramach projektu EDURES i mogą być potencjalnie docenione przez studentów, akademików i zewnętrznych interesariuszy.

Applying Python’s Time Series Forecasting Method in Microsoft Excel – Integration as a Business Process Supporting Tool for Small Enterprises

Litwin Jolanta, Olech Marcin, Szymusik Anna

Technical Sciences / University of Warmia and Mazury in Olsztyn

2021

nr 24(1)

115--133

The paper describes the current state of research, where integration of Microsoft Excel and Python interpreter, gives the business user the right tool to solve chosen business process analysis problems like: forecasting, classification or clustering. The integration is done by using Visual Basic for Application (VBA), as well as XLWings Python’s library. Both mechanisms serve as an interfaces between MS Excel and Python to allow the data exchange between each other. Creating the suitable Graphical User Interface (GUI) in Microsoft Excel, gives the business user opportunity to select specific data analysis method available in Python’s environment and set its parameters, without Python’s programming. Running the method by Python’s interpreter can bring the results, which are hard or even impossible to obtain by using Microsoft Excel only. However, the data analysis methods stored in the Python’s script, which are available to the business user, as well as VBA source code, must be designed and implemented by the data scientist. Sample, basic integration between Microsoft Excel and Python’s interpreter is presented in the paper. To present value-added of the proposed software solution, simple case study according to time series forecasting problem is described, where forecasting errors of different methods available in the Microsoft Excel and Python are presented and discussed. The paper ends with conclusions according to the results of the current researches and suggested directions of further research.