Based on simulated raw data from an international gamma-ray telescope experiment (CTA), in which the University of Geneva participates, a data analysis project in Python tailored to the level of high school students has been developed. This project is part of an interdisciplinary learning approach that combines physics and computer science and is intended to be completed over the course of one week. By using their prior knowledge in computer science and physics, this novel pedagogical sequence aims at immersing students in the world of scientific research, focusing on an authentic and meaningful topic.

This document presents the project, exploring programming aspects from the students’ perspective and simplifying the complex environment originally designed for physicists. Additionally, an analysis of pedagogical choices and the underlying didactic justifications is conducted. This activity has been suc- cessfully tested with a group of 47 students; an analysis of the results from a didactic standpoint is performed, sharing the work done by the students as well as their daily comments and feedback, all re- corded on Moodle. Finally, based on these observations, possibilities for future improvement are detailed.