MATH-517: Statistical computation and visualisationThe course will provide the opportunity to tackle real world problems requiring advanced computational skills and visualisation techniques to complement statistical thinking. Students will practice proposing efficient solutions, and effectively communicati ...
BIO-603(PA): Practical - Persat LabThe student will learn how to:
- perform high resolution microscopy of single bacterial cells
- perform a motility assay
- operate high resolution microscope
- analyze image data ...
HUM-454: Histoire urbaine digitale: Lausanne Time Machine IICe 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 ...
HUM-450: Histoire urbaine digitale: Lausanne Time Machine ICe 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 ...
ENG-366: Signals, instruments and systemsThe goal of this course is to transmit knowledge in sensing, computing, communicating, and actuating for programmable
field instruments and, more generally, embedded systems. The student will be able to put in practice the knowledge
acquired using concrete ...
MSE-422: Advanced metallurgyThis course covers the metallurgy, processing and properties of modern high-performance metals and alloys (e.g. advanced steels, Ni-base, Ti-base, High Entropy Alloys etc.). In addition, the principles of computational alloy design as well as approaches fo ...
PHYS-619: Many-Body Approaches to Quantum FluidsStarting from a microscopic description, the course introduces to the physics of quantum fluids focusing on basic concepts like Bose-Einstein condensation, superfluidity, and Fermi liquid theory. ...
PHYS-754: Lecture series on scientific machine learningThis lecture presents ongoing work on how scientific questions can be tackled using machine learning. Machine learning enables extracting knowledge from data computationally and in an automatized way. We will learn on examples how this is influencing the v ...
MATH-516: Applied statisticsThe course will provide an overview of everyday challenges in applied statistics through case studies. Students will learn how to use core statistical methods and their extensions, and will use computational and problem-solving tools to provide reproducibl ...
MATH-459: Numerical methods for conservation lawsIntroduction to the development, analysis, and application of computational methods for solving conservation laws with an emphasis on finite volume, limiter based schemes, high-order essentially non-oscillatory schemes, and discontinuous Galerkin methods. ...
MATH-661: Advanced Scientific Programming in PythonThis 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 ...
ME-629: Fundamentals of Fracture with Fundamental PapersThe principles of fracture mechanics, from the energy balance approach of Griffith through modern computational approaches, will be introduced using key papers. Phase-field modeling and atomistic processes in fracture, as well as experimental developments, ...
MATH-656: Numerical linear algebra for Koopman and DMDThe Dynamic Mode Decomposition (DMD) has become a tool of trade in computational data driven analysis of complex dynamical systems. The DMD is deeply connected with the Koopman spectral analysis of nonlinear dynamical systems. This course will present rece ...
