Master Meeting - Open Day, 18 April 2016

Master Meeting - Open Day, 18 April 2016

In order to allow prospective students to know more about the Università della Svizzera italiana and its study curricula, the Study Advisory Service organizes several open days during which interested people can follow detailed presentations, visit the campus and meet students and professors. The Master Meeting in Computational Science offers you the opportunity to follow lectures together with the current master students. Guided by a USI student, you can visit the campus and make up your mind as to whether the contents correspond to your study ambitions.

Next Open Day: 18 April 2016. Registration is compulsory. Please register online.

18 April 2016

MSc in Computational Science


Informatics Building (see the campus map)

Computer Vision & Pattern Recognition
Michael Bronstein

The purpose of the course is to introduce basic problems and notions in image processing, computer vision, and patter recognition though a common geometric framework and present some classical, industry-standard and state-of-the-art methods through this framework. The course uses tools from differential geometry, calculus of variations, and numerical optimization to address problems such as image recovery (denoising, impainting, deconvolution), filtering (adaptive diffusion, bilateral and non-local means filters), 3D structure reconstruction (shape from shading, stereo, photometric stereo); and rigid and non-rigid similarity and correspondence (iterative closest point methods, multidimensional scaling, Gromov-Hausdorff distance). The emphasis is made on both formulating a rigorous mathematical model of the problem and developing an efficient numerical method for its solution, with hands-on programming exercises that solve real-world problems.


Informatics Building (see the campus map)

Software Atelier: Supercomputing, Data Science, and Simulations
Olaf Schenk

The software atelier on supercomputing and simulations presents advanced topics in parallel computing and numerical simulation for prospective computational/software engineers. There will be several programming assignments to acquaint students with basic issues in memory locality and parallelism needed for high performance. Most of the grade will be based on a final project (in which students are encouraged to work in small interdisciplinary teams), which could involve parallelizing an interesting application, or developing or evaluating a novel parallel computing tool. Students are expected to have identified a likely project by mid semester, so that they can begin working on it. We will provide many suggestions of possible projects as the class proceeds.


Informatics Building (see the campus map)

Linear & Nonlinear Multiscale Solution Methods
Rolf Krause

In this course, we present the state of the art for linear as well as nonlinear multilevel and multigrid methods. The solution of large linear and nonlinear systems of equations is one of the most important tasks in numerical simulation. Since standard solution methods do not scale optimally , alternative solution strategies have been developed during the last decades. In particular multilevel or multiscale solution strategies have been developed, which are often employed due to their high efficiency. Prominent examples are multilevel or domain decomposition methods for linear elliptic problems, In this course, we start from well known subspace correction methods for linear problems and proceed to more recent developments as are nonlinear multigrid and monotone multigrid. Finally, we will consider (recursive) trust-region methods and their application to minimization problems in computational mechanics. For all methods, we will also discuss their parallelisation.


ICS LAB / "Glass Building" (see the campus map)

Apero at the Institute of Computational Science
MSc & PhD Students, Olaf Schenk

Meet current MSc students at the Institute of Computational Science, Questions and answers regarding to the master programme


logo cscs

This website uses cookies to improve your experience. We'll assume you're ok with this, but you can opt-out if you wish. Read more