COMPUTATIONAL SCIENCE & ENGINEERING - Master | EPFL

Master curriculum
http://master.epfl.ch/cse
http://cse.epfl.ch
contact: simone.deparis@epfl.ch
SCHOOL OF BASIC SCIENCES
COMPUTATIONAL
SCIENCE & ENGINEERING
Core of Master 90 ECTS
Core courses : 30 ECTS
Computational Modeling Based on
Differential Equations : 10 ECTS
Computational Methods Based on
Discrete Systems: 10 ECTS
Numerical Methods, Algorithms, High
Performance Systems: 10 ECTS
Semester projects: 30 ECTS
Master’s thesis
30 ECTS
2 Years curriculum:
• 3 semesters coursework and
projects
• 1 semester Master’s thesis at
EPFL or other recognized university,
or in collaboration with
industry
• industrial internship
Target audience: BSc in Basic
Sciences or Engineering
New Master programme - 2010/2011 curriculum
http://master.epfl.ch/cse
http://cse.epfl.ch
Scope
The new master in Computational Science and
Engineering at EPFL aims at educating Bachelor
degree holders in Basic Sciences and Engineering
in the interdisciplinary field of simulation based
engineering science. Students in CSE will benefit
from the presence of many specialized laboratories
such as CECAM (Centre Européen de Calcul
Atomique et Moléculaire), the new CADMOS centre
(Center for Advanced Modelling System) in the Lake
Geneva region, as well as the future development
of HPC at EPFL.
Professional prospects
The MSc in CSE opens the doors to industry in
software engineering, environmental engineering,
financial services, chemical and pharmaceutical
R&D. It is also a strong asset for a PhD in
computational science.
Curriculum
The curriculum of the Master is designed to provide
students with basic skills in computational sciences.
It is divided in core courses and courses oriented
towards applications in Science and Engineering.
Core courses include scientific computing, numerical
methods, algorithmic and software engineering,
advanced tools for HPC, image processing,
visualization and multiscale-multiphysics modeling.
Application courses in various area of science
and engineering such as Chemistry, Biology, Civil,
Environmental or Mechanical Engineering with a
strong HPC component will be offered.
Students will complete an 8-week industrial
internship during the Summer or during the
Master's thesis.
The Master programme will be concluded by a
scientific thesis in a research lab.
Enrolment procedure and entry requirements
Candidates must have a Bachelor degree in Basic
Sciences or Engineering and should have a solid
mathematics, programming and computational
background.
Application deadlines each year:
January 15 and April 15.
Tuition fees amount to CHF 633.-/semester.
Image Simulation de la turbulence dans un plasma de fusion, CRPP, EPFL
©EPFL /12.2009

SCHOOL OF BASIC SCIENCES
COMPUTATIONAL SCIENCE & ENGINEERING
Numerical Methods, Algorithms, High Performance Systems (10 ECTS)
Master curriculum
http://master.epfl.ch/cse
http://cse.epfl.ch
contact: simone.deparis@epfl.ch
Core Courses (30 ECTS) Faculty Credits Language
I. Computational Mathematics
Advanced scientific computing M. Picasso 4 EN
Numerical analysis and computational mathematics S. Deparis 4 EN
Numerical integration of dynamical systems A. Abdulle 4 EN
II. HPC
Algorithmics A. Shokrollahi 6 EN
Software engineering G. Candea 6 EN
Program parallelization on PC clusters R. Hersch 4 EN
III. Stochastic / Visualisation
Computer simulation of physical systems I A. Pasquarello 4 EN
Image processing I J.-Ph. Thiran / M. Unser 3 EN
IV. Introduction to Modeling
Multiscale modeling of complex physical systems E. Kaxiras/S. Melchionna/J. Latt 3 EN
Computational Modeling Based on Differential Equations (10 ECTS)
Computational fluid dynamics-compressible flows J.-B. Vos / D. Charbonnier/ 2 EN
E. Mickaily-Huber
Environmental transport phenomena M. Parlange 4 EN
Flow numerical simulation in hydraulic machines P. Maruzewski / F. Avellan 5 EN
Instability and turbulence F. Gallaire 5 EN
Mathematical modeling of DNA J. Maddocks 4 EN
Neural networks and biological modelling W. Gerstner 4 EN
Numerical flow simulation M. Sawley 5 EN
Numerical methods in heat transfer A. Cioncolini 3 EN
Particle-based methods P. Maruzewski / M. Sawley 4 EN
Principles and applications of systems biology V. Hatzimanikatis 3 EN
Computational Methods Based on Discrete Systems (10 ECTS)
Applied molecular quantum chemistry F. Rotzinger 3 EN
Computational methods in molecular quantum mechanics I. Tavernelli 3 EN
Computational molecular biology B. Moret 7 EN
Computational quantum dynamics J. Vanicek 2 EN
Computer simulation of physical systems II A. Pasquarello 4 EN
Distributed intelligent systems A. Martinoli 6 EN
Introduction to electronic structure methods U. Röthlisberger / I. Tavernelli 4 EN
Introduction to multiscale methods J.-F. Molinari 3 EN
Mathematical modeling of behavior M. Bierlaire 4 EN
Modeling of materials processing and structures A. Jacot 3 EN
Water quality modeling D. Barry 4 EN
Advanced algorithms B. Moret 7 EN
Advanced multiprocessor architecture B. Falsafi 6 EN
Advanced signal processing: Wavelets and applications M. Vetterli / Y. Lu 5 EN
Applications for convex optimization and linear programming C. Fragouli 3 EN
Computer Algebra F. Eisenbrand 4 EN
Foundations of image science P. Fua 4 EN
Homogeneization and multiscale PDE's A. Abdulle 4 EN
Image processing II M. Unser/J.-Ph. Thiran 3 EN
Introduction to multiprocessor architecture B. Falsafi 4 EN
Monte Carlo inference A. Davison EN
Numerical approximation of partial differential equations M. Discacciati 4 EN
Optimization methods in finance F. Eisenbrand 4 EN
Programming Cells/BE and performance analysis tools M. Thiémard / J. Menu / P. Jermini 4 EN
Statistics for genomic data analysis D. Goldstein 4 EN
Projects (30 ECTS)
Semester project I, II Various 8 FR or EN
Semester project III or industrial internship Various 8 FR or EN
Projec in human & social sciences (compulsory) Various 6 FR or EN
Document subject to changes at any time. Please refer to the official study plans and rules published by the Registrar’s Office (see http://sac.epfl.ch)
©EPFL / 12.2009