Covers the analysis of air pollution data, focusing on R basics, visualizing time series, and creating summaries of pollutant concentrations.
Explores the support services and environment of Moodle at EPFL, including group modes, admin tools, course management, and user interactions.
Delves into symmetries in physics, covering group theory, perturbation, and quantification.
Focuses on advanced pandas functions for data manipulation, exploration, and visualization with Python, emphasizing the importance of understanding and preparing data.
Covers the analysis of ergometry figures using Excel and the interpretation of respiratory and cardiovascular parameters.
Explores invariant definitions in sets, groups, and automorphisms, including p-divisible groups and free abelian groups.
