This course introduces students to continuous, nonlinear optimization. We study the theory of optimization with continuous variables (with full proofs), and we analyze and implement important algorithms to solve constrained and unconstrained problems. ...
Ce cours fait partie d'une série de cours interdisciplinaires et collaboratifs ouverts aux étudiants de l'UNIL et de l'EPFL.
Il se concentre sur l'histoire urbaine à travers l'application de méthodes informatiques et le développement d'un projet numérique ...
Ce cours fait partie d'une série de cours interdisciplinaires et collaboratifs ouverts aux étudiants de l'UNIL et de l'EPFL.
Il se concentre sur l'histoire urbaine à travers l'application de méthodes informatiques et le développement d'un projet numérique ...
This is a collection of lectures on "structured innovation systems," codified approaches to stimulating and managing the process of innovation. Some of the systems to be covered may be Design Thinking, Open Innovation, Crowdsourcing, Lean Innovation, and o ...
This seminar teaches the participants to use advanced Python concepts for writing easier to read, more flexible and faster code.
It teaches concepts in a hands-on and tangible fashion, providing example use cases that all applied mathematicians can relate ...
We provide a comprehensive overview of the econometric tools that are essential to estimate financial models, both for asset pricing and
for corporate finance. ...
Understanding of the principles and applications of functional programming, the fundamental models of program
execution, application of fundamental methods of program composition, meta-programming through the construction of
interpreters and advanced progr ...
This course introduces students to the basics of image data science using Napari and Python. Students will learn image filtering, segmentation and feature extraction. Other topics include supervised and unsupervised machine learning techniques for object c ...