Course objective
The objective of the course is to initiate young life-science scientists to python programming from scratch, fostering self-learning practice.
Organisation:
The course include twelve classes (two per week), each two-hours long, over a period of six weeks. A large part of each class will be devoted to practical coding ecercices.
Assessment
• The participants will be regularly asked to explain their code during the classes.
• Coding exercices and small projects will be proposed over the duration of the course.
Course material
The course will be based on the textbook published by Whitington (2023), as well as on online ressources from the python community.
Suggested readings
Whitington J (2023). Python from the very beginning. Cambridge: Coherent Press (2nd ed).
- Enseignant: Denis THIEFFRY
Aims:
Climate change prevention and mitigation requires behavioral change or reconfiguration of behaviors and policies.
The goal of this class is to establish a transformational contact between expertise in geoscience and biological sciences and expertise in behavioral and cognitive sciences on environmental issues, in particular as the ocean and marine biodiversity are concerned.
Themes:
The course 1) Draws from the life sciences and geosciences to understand what has an impact on climate change (i.e., the causal chains);
2) Draws from economics to understand how to regulate and incentivize citizens and firms to go towards what has a positive environmental impact;
3) Draws from cognitive science to understand the psychological and social side of the needed change (how to understand and change individuals' and groups'; behavior).
Course prerequisites
An interest in the main issues of the course, in particular in brakes to behavioral change on a global scale, and in an understanding of the loops between the physical, biological, and human aspects and roles of the ocean.
- Enseignant: Roberto CASATI
- Enseignant: Kevin JEAN