I. Introduction
Kalman filters are found in almost every field of engineering. Their applications can make a system to perform tasks that would be impossible with other kind of filters. The most common applications of Kalman filter is in scenarios where the input data varies dynamically and there is a need to estimate accurately the tendency of the input data. Design Thinking is an educational technique in scaffolding Problem Based Learning (PBL) experiences where students get involved in the project, and acquire several practical and interdisciplinary abilities. Kalman filters expand the mathematical and engineering perspectives of engineering students.