Provides an overview of environmental economics, covering course structure, key concepts, and the relationship between economic activity and environmental issues.
Explores explicit stabilised Runge-Kutta methods and their application to Bayesian inverse problems, covering optimization, sampling, and numerical experiments.
Explores the significance of modeling choice behavior in transportation, marketing, health, and energy, emphasizing the importance of understanding individual decision-making.
