Course in stochastic optimization with an emphasis on formulating, solving, and approximating optimization models under uncertainty. Topics include: Models and applications: extensions of the linear ...

Stochastic dominance provides a rigorous method to compare uncertain prospects without imposing restrictive assumptions on investor risk preferences, thus offering an alternative to traditional ...

A first introduction to probability and statistics. This course will provide background to understand and produce rigorous statistical analysis including estimation, confidence intervals, hypothesis ...

Supply chain network design and optimisation constitute a pivotal element in modern logistics and operations management, aiming to configure facilities, transportation routes and inventory systems ...

This course is compulsory on the MSc in Operations Research & Analytics. This course is not available as an outside option. Students must know basics of linear algebra (matrix multiplication, ...