Anna LachowskaEnseignement et PhD Cours Algebra MATH-310 Le cours introduit les concepts de base de l'algèbre, notamment les groupes, les anneaux et les corps. Analyse I MATH-101(e) Étudier les concepts fondamentaux d'analyse et le calcul différentiel et intégral des fonctions réelles d'une variable. Analyse II MATH-106(e) Étudier les concepts fondamentaux d'analyse et le calcul différentiel et intégral des fonctions réelles de plusieursvariables. Representation theory I
Simon BossoneyEnseignement et PhD Cours Algèbre linéaire et géométrie (pour MAN) PREPA-032(a) On présente les notions fondamentales de l'algèbre linéaire dans le contexte géométrique qui les a vues émerger. L'accent est donc mis principalement sur les dimensions 2 et 3, et en particulier sur la visualisation des objets et des opérations classiques dans le plan et l'espace. Analyse I (pour CMS) PREPA-003(a) Ce cours du premier semestre vise à établir les bases du calcul différentiel. Ana
Sacha FriedliDiploma of Physics, Université de Lausanne, 1999
Phd, Institut de Physique Théorique, EPFL, 1999-2004
Post-doc, IMPA (Instituto Nacional de Matemática Pura e Aplicada), Rio de Janeiro, Brasil, 2004-2006
Adjunct professor, Departamento de Matemática (Universidade Federal de Minas Gerais), 2006-2016
Collaborateur Scientifique, Cours de Mathématiques Spéciales, EPFL, Lausanne, 2016-
Jan Sickmann HesthavenProf. Hesthaven received an M.Sc. in computational physics from the Technical University of Denmark (DTU) in August 1991. During the studies, the last 6 months of 1989 was spend at JET, the european fusion laboratory in Culham, UK. Following graduation, he was awarded a 3 year fellowship to begin work towards a Ph.D. at Riso National Laboratory in the Department of Optics and Fluid Dynamics. During the 3 years of study, the academic year of 1993-1994 was spend in the Division of Applied Mathematics at Brown University and three 3 months during the summer of 1994 in Department of Mathematics and Statistics at University of New Mexico. In August 1995, he recieved a Ph.D. in Numerical Analysis from the Institute of Mathematical Modelling (DTU). Following graduation in August 1995, he was awarded an NSF Postdoctoral Fellowship in Advanced Scientific Computing and was approinted Visiting Assistant Professor in the Division of Applied Mathematics at Brown University. In December of 1996, he was appointed consultant to the Institute of Computer Applications in Science and Engineering(ICASE) at NASA Langley Research Center (NASA LaRC). As of July 1999, he was appointed Assistant Professor of Applied Mathematics, in September 2000 he was awarded an Alfred P. Sloan Fellowship, as of July 2001 he was awarded a Manning Assistant Professorship, and in March 2002, he was awarded an NSF Career Award. In January 2003, he was promoted to Associate Professor of Applied Mathematics with tenure and in May 2004 he was awarded Philip J. Bray Award for Excellence in Teaching in the Sciences (the highest award given for teaching excellence in all sciences at Brown University). He was promoted to Professor of Applied Mathematics as of July 2005. From October 2006 to June 2013, he was the Founding Director of the Center for Computation and Visualization (CCV) at Brown University. As of October 2007, he holds the (honorary) title of Professor (Adjunct) at the Technical University of Denmark. In November 2009, he successfully defended his dr.techn thesis at the Technical University of Denmark and was rewarded the degree of Doctor Technices -- the highest academic distinction awarded based on ... substantial and lasting contributions that has helped to move the research area forward and penetrated into applications. As grant Co-PI he served from Aug 2010 to June 2013 as Deputy Director of the Institute of Computational and Experimental Research in Mathematics (ICERM), the newest NSF Mathematical Sciences Research Institute. After having spend his entire academic career at Brown University, Prof Hesthaven decided to pursue new challenges and joined the Mathematics Institute of Computational Science and Engineering (MATHICSE) at Ecole Polytechnique Fédérale de Lausanne (EPFL) in Switzerland in July 2013. In March 2014 he was elected SIAM Fellow for contributions to high-order methods for partial differential equations.
Wulfram GerstnerWulfram Gerstner is Director of the Laboratory of Computational Neuroscience LCN at the EPFL. His research in computational neuroscience concentrates on models of spiking neurons and spike-timing dependent plasticity, on the problem of neuronal coding in single neurons and populations, as well as on the link between biologically plausible learning rules and behavioral manifestations of learning. He teaches courses for Physicists, Computer Scientists, Mathematicians, and Life Scientists at the EPFL. After studies of Physics in Tübingen and at the Ludwig-Maximilians-University Munich (Master 1989), Wulfram Gerstner spent a year as a visiting researcher in Berkeley. He received his PhD in theoretical physics from the Technical University Munich in 1993 with a thesis on associative memory and dynamics in networks of spiking neurons. After short postdoctoral stays at Brandeis University and the Technical University of Munich, he joined the EPFL in 1996 as assistant professor. Promoted to Associate Professor with tenure in February 2001, he is since August 2006 a full professor with double appointment in the School of Computer and Communication Sciences and the School of Life Sciences. Wulfram Gerstner has been invited speaker at numerous international conferences and workshops. He has served on the editorial board of the Journal of Neuroscience, Network: Computation in Neural Systems', Journal of Computational Neuroscience', and `Science'.
Maude GirardinEnseignement et PhD Cours Algèbre linéaire (pour CMS) PREPA-002 Le but du cours est de familiariser les étudiants avec les notions fondamentales de l'algèbre linéaire à travers leur étude géométrique en dimension 3. Analyse A (pour MAN) PREPA-031(a) Ce cours donne les outils de base pour le calcul algébrique et pour la résolution d'équations et d'inéquations sur les nombres réels et complexes. Le cours explore l'étude des fonctions spéciales et sert de base au cours de calcul
Leonard Paul Arthur HardimanEnseignement et PhD Cours Analyse I (pour CMS-3) PREPA-003(b) Ce cours du premier semestre vise à établir les bases du calcul différentiel. ICS (pour CMS) PREPA-025 Ce cours présente les fondements de la programmation Python avec une introduction à la pensée algorithmique à travers des algorithmes fondamentaux. Informatique et calcul scientifique (pour MAN) PREPA-094 Après une introduction à la programmation Python et à l'algorithmique, des méthodes numériques
Mathieu HuruguenEnseignement et PhD Cours Algèbre linéaire (pour CMS) PREPA-001 Dans la première partie du cours on couvre des notions de langage ensembliste et de logique élémentaire. Dans la deuxième partie, le but est de familiariser les étudiants avec les notions fondamentales de l'algèbre linéaire à travers leur étude géométrique en dimension 2. Algèbre linéaire et géométrie (pour MAN) PREPA-032(a) On présente les notions fondamentales de l'algèbre linéaire dans le contexte géométrique
Frédéric MilaEnseignement et PhD Doctorant·es actuel·les Afonso Dos Santos Rufino, Mohamed Zakaria Jouini, Tianyue Huang A dirigé les thèses EPFL de Thomas Gloor, François Vernay, Cédric Weber, Julien Dorier, Julien Sudan, Tamás András Tóth, Tommaso Coletta, Frédéric Alexis Michaud, Jérôme Dufour, Natalia Chepiga, Laurent Pagnier, Francisco Hyunkyu Kim, Melvyn Sandy Tyloo, Samuel Gozel, Jeanne Colbois, Ivo Aguiar Maceira, Mithilesh Nayak, Samuel Louis Nyckees, Keita Omiya A co-dirigé les thèses EPFL de Alex Kruchkov,
Marius TibaEnseignement et PhD Cours Convex geometric analysis MATH-564 Dans ce cours, nous étudions la notion fondamentale de convexité à l'interface de l'analyse et de la géométrie, un domaine qui a connu des progrès remarquables ces dernières années.
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