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MSE-443(a): Modelling problem solving, computing and visualisation I

Cours associés (151)

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EE-605: Statistical Sequence Processing

This course discusses advanced methods extensively used for the processing, prediction, and classification of temporal (multi-dimensional and multi-channel) sequences. In this context, it also describ

MGT-492: Data science and machine learning I

This class provides a hands-on introduction to data science and machine learning topics, exploring areas such as data acquisition and cleaning, regression, classification, clustering, neural networks,

MATH-495: Mathematical quantum mechanics

Quantum mechanics is one of the most successful physical theories. This course presents the mathematical formalism (functional analysis and spectral theory) that underlies quantum mechanics. It is sim

ME-476: Particle-based methods

This course provides an introduction to particle-based methods for the numerical resolution of partial differential equations describing continuum phenomena or for the simulation of particulate flows.

ENV-400: Air pollution and climate change

A survey course describing the origins of air pollution and climate change

MSE-443(b): Modelling problem solving, computing and visualisation II

Covers development and design of models for materials processes and structure-property relations. Emphasizes techniques for solving equations from models or simulating and visualizing behavior. Topics

ENG-274: Programmation Matlab

Introduction au calcul scientifique, à la programmation et à la gestion et visualisation de données avec MATLAB / GNU Octave et Python sous GNU/Linux.

PHYS-625: Using Mathematica to analyse and model experimental data

To learn the basics of symbolic programming using Mathematica / To understand Mathematica expressions and their use / To be able to solve linear and non-linear differentials systems / To present graph

MGT-644(b): Computational Methods for Doctoral Research in Management

The objective of this course is to introduce doctoral students to computational methods for data-driven empirical research in management.

MATH-604: Some Aspects of Calculus of Variations

The goal of this course is to present an overview on the solvability and the regularity of relevant models of physical, technological and economical systems, which may be formulated as minimization pr