Concept

Nonlinear system

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The course is an introduction to symmetry analysis in fluid mechanics. The student will learn how to find similarity and travelling-wave solutions to partial differential equations used in fluid and c

EE-611: Linear system theory

The course covers control theory and design for linear time-invariant systems : (i) Mathematical descriptions of systems (ii) Multivariables realizations; (iii) Stability ; (iv) Controllability and Ob

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This course offers an introduction to topics in stochastic analysis, oriented about theory of multi-scale stochastic dynamics. We shall learn the fundamental ideas, relevant techniques, and in general

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L'étudiant apprendra à résoudre numériquement divers problèmes mathématiques. Les propriétés théoriques de ces méthodes seront discutées.

PHYS-448: Introduction to particle accelerators

The course presents basic physics ideas underlying the workings of modern accelerators. We will examine key features and limitations of these machines as used in accelerator driven sciences like high

EE-477: Multivariable control and coordination systems

The objective is to enable students to design advanced digital solutions for the control and the coordination of distributed dynamic systems, such as production or distribution energy systems, as well

MSE-611: Piezoelectric materials, properties and devices

The students acquire knowledge on structure-property relations of piezoelectric and related materials (ferroelectrics, relaxors). Different material classes (ceramics, crystals, composites, polymers)

EE-802: Mathematical guarantees of data-driven control

Students learn about advanced topics in data-driven control theory. Students also learn to present and analyze scientific work.

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