Speaker
Dominik Borovský
(Pavol Jozef Šafárik University in Košice)
Description
Integrating inverse problems and nonlinear optimization using open data science tools in inquiry-based STEM education presents a significant opportunity to bridge theoretical STEM knowledge with real-world applications. Our contribution highlights the limitations of traditional linear least squares (LS) fitting methods and demonstrates using SageMath for real-world, nonlinear problems, such as the fall of a lightweight polystyrene ball, demonstrating a closer alignment of students' work with scientific computing in actual research. This approach not only enhances STEM education by including a wider range of attractive real-world problems but also fosters modeling and problem-solving skills, crucial for future professional careers.
| How would you like to present your contribution? | Live in Kraków (time slot to be allotted based on the programme) |
|---|---|
| Target education level | University |
| Category | Formal Education |
Authors
Dominik Borovský
(Pavol Jozef Šafárik University in Košice)
Prof.
Jozef Hanč
(P. J. Safarik University)
Martina Hancova
(P.J. Safarik University in Kosice, Slovakia)
