The course introduces the theoretical foundations to choice modeling and describes the steps of operational modeling.
Introduction to linear optimization, duality and the simplex algorithm.
Introduction to linear optimization, duality and the simplex algorithm.
Introduction to network optimization and discrete optimization
Introduction to network optimization and discrete optimization
Introduction to unconstrained nonlinear optimization, Newton’s algorithms and descent methods.
Introduction to unconstrained nonlinear optimization, Newton’s algorithms and descent methods.
Discrete choice models are used extensively in many disciplines where it is important to predict human behavior at a disaggregate level. This course is a follow up of the online course “Introduction t
Discrete choice models are used extensively in many disciplines where it is important to predict human behavior at a disaggregate level. This course is a follow up of the online course “Introduction t
This course explains the mathematical and computational models that are used in the field of theoretical neuroscience to analyze the collective dynamics of thousands of interacting neurons.
