The course will introduce students to the methods of experimental physics through the study of fundamental phenomena in electromagnetism and optics.
Students will be divided into groups, each of which will be assigned a specific experiment with a defined final objective.
The underlying idea is to simulate a real-life laboratory scenario over the course of one full month, during which students will autonomously organize their time in order to achieve the final objective of the experiment, independently addressing and overcoming any challenges that arise and adopting creative problem-solving approaches.
During this full-immersion month, students are expected to: to learn how to design and perform experiments and measurements aimed at investigating the underlying physical laws; to develop statistical data analysis skills and implement them using modern programming languages and tools; to learn how to interpret laboratory results; and to write scientific reports presenting and discussing the results obtained.

Learning outcomes:

• Knowledge and understanding: students will acquire a solid knowledge of experimental methods and data analysis techniques. They will be able to manage an experimental setup and understand how to perform measurements in order to extract meaningful information and assess the validity of a physical model.
• Applying knowledge and understanding: students will be able to apply the acquired knowledge to describe observed physical phenomena and to extract meaningful information from experimental data.
• Making judgments: through measurements and data analysis, students will be able to assess the validity of physical models and determine the values of relevant physical observables.
• Communication skills: students will be able to write scientific reports that clearly and concisely present their findings. They will also acquire the scientific vocabulary necessary to discuss and communicate the results of experimental activities.
• Learning skills: students will acquire experimental methods and data analysis techniques that will be applicable in other laboratory courses and experimental contexts.
  Organization skills: Learn to organize experimental work independently, defining critical milestones, estimating the time required for each phase, and ensuring efficient progress toward the final objective.