Master in computational science
Master
A Mendrisio (Svizzera)
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Descrizione
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Tipologia
Master
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Luogo
Mendrisio (Svizzera)
The Master of Science degree in Computational Science (MCS) at the Università della Svizzera italiana (USI) offers students the opportunity to acquire an in-depth understanding and set of skills in computational science, numerical simulation, applied mathematics, statistics, and data science. It provides an innovative combination of methodological and applied competencies in both computational and data science, which endow students with the knowledge and skills that are needed to operate at the forefront of science and industry.
Computational Science is not to be confused with Computer Science, which deals with the science and engineering of computers. Computational Science represents a broader approach to interdisciplinary problems and projects, using computer simulations in model based approaches that represent the interaction between theory and experiment.
Awarded degree
After the successful completion of the programme, students will be awarded a Master of Science in Computational Science.
Sedi e date
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Inizio del corso
Inizio del corso
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8 anni del centro in Emagister.
Programma
First Semester
Mandatory (27 ECTS)
High-Performance Computing
Introduction to Ordinary Differential Equations
Introduction to Partial Differential Equations
Numerical Algorithms
Introduction to Data Science
Electives (3 ECTS)
Software Atelier: Partial Differential Equations
Software Tools in Computational Science
Second Semester
Mandatory (24 ECTS)
Advanced Discretization Methods
Multiscale Methods
Software Atelier: Simulation, Data Science & Supercomputing
Stochastic Methods
Electives (6 ECTS)
Advanced Computer Architectures
Bioinformatics
Functional and Numerical Analysis (FOMICS block course)6
Geometric Algorithms
Graphical Models and Network Science
Introduction to Network Science
USI-CSCS Summer School on Effective High Performance Computing
Third Semester
Mandatory (30 ECTS)
Computational Biology and Drug Design*
Data Assimilation*
Generalizations of the Linear Model*
Machine Learning
Molecular Dynamics and Monte Carlo Methods
Preparation Master's Thesis
Fourth Semester
Mandatory (24 ECTS)
Master Thesis
Electives (6 ECTS)
Advanced Computer Architectures**
Bioinformatics**
Computer Vision & Pattern Recognition*/**
Functional and Numerical Analysis (FOMICS block course)
Geometric Algorithms**
Geometric Deep Learning*/**
Graphical Models and Network Science**
Introduction to Network Science**
USI-CSCS Summer School on Effective High Performance Computing**
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Master in computational science