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Mathematics education

Related people (32)

Expertise Simone Deparis is a professor at EPFL specializing in applied mathematics, numerical analysis, and the didactics of university-level mathematics. His research spans computational modeling for biomedical applications and innovations in mathematics education, with a focus on equity, self-efficacy, and assessment reform in large STEM cohorts. Mission Our group conducts research at the intersection of applied mathematics and learning sciences. In applied mathematics, we focus on modeling and simulatio

Pawel Duch

Expertise My present research focuses on the intersection between probability theory, PDE theory and Euclidean quantum field theory. I am especially interested in problems involving singular stochastic partial differential equations and renormalization. I have also a background in mathematical aspects of perturbative and axiomatic quantum field theory as well as general relativity. I am a postdoctoral researcher in the group of Martin Hairer. Previously, I was a postdoc at Adam Mickiewicz University in Pozn

Annalisa Buffa

Teaching & PhD PhD Students Gonzalo Bonilla Moreno, Philipp Christoph Weder, Yannis Dirk Voet, Fabio Marcinno, Ferhat Sindy, Francesco Sala, Markus Renoldner, Mohamed Ben Abdelouahab, Davor Dobrota Past EPFL PhD Students Luca Coradello, Ondine Chanon, Riccardo Puppi Courses Numerical approximation of PDEs MATH-451 The course is about the derivation, theoretical analysis and implementation of the finite element method for the numerical approximation of partial differential equations in on

Xue-Mei Li-Hairer

Teaching & PhD PhD Students Johann Williams, Timon Miehling, Szymon Sobczak, Kexing Ying Courses Introduction to multi-scale stochastic dynamics MATH-487 This course introduces slow/fast systems and the mathematical tools used to derive effective equations governing their behaviour. Students will learn core concepts and techniques for rigorously analysing complex stochastic multi-scale systems.

Simon Bossoney

Teaching & PhD Courses Algèbre linéaire et géométrie (pour MAN) PREPA-032(a) We present the fundamental notions of linear algebra in the geometric context where they emerged. We will therefore emphasize the dimensions 2 and 3, and insist on the visualisation of classical objects and operations in the plane and in the 3D space. Analysis I (for CMS) PREPA-003(a) This first semester class is an introduction to the basis of differential calculus. Analysis II (for CMS)

Katarzyna Zuleta Estrugo

Teaching & PhD Courses Mathematics for Geosciences UNIL-114 The goal of this course is to introduce the basic mathematical knowledge necessary to pursue studies in the fields of geography, geology and environmental sciences. It is intended for the first-year students of the Faculty of geosciences and the environment of the University of Lausanne. Mathématiques générales I (pour BIO+PHA) UNIL-107 The goal of this course is to introduce the basic mathematical knowledge necessar

Leonid Monin

Teaching & PhD Courses Algebra III - rings and fields MATH-215 This is an introductory course in ring and field theory. Analysis I (English) MATH-101(en) We study the fundamental concepts of analysis, calculus and the integral of real-valued functions of a real variable. Topology III - Homology MATH-323 Homology is one of the most important tools to study topological spaces and it plays an important role in many fields of mathematics. The aim of this course is

Giordano Favi

Expertise Research: Non associative Algebra, Category Theory, Triangulated Category Theory, Balmer-Witt Theory, Quadratic Forms in Characteristic 2, Galois Theory, Essential dimension, Tensor Triangular GeometryTeaching: Algebra (Associative, Linear, Commutative or not), Differential Calculus , Algebraic Geometry/Topology, etc. Current work Teaching: My current work at EPFL is half time dedicated to teaching mathematics for 1st year students. It is very important to give satisfactory introductory courses

José Luis Zuleta Estrugo

Teaching & PhD Courses Analysis II MATH-106(c) The course studies fundamental concepts of analysis and the calculus of functions of several variables. Linear Algebra MATH-111(g) The purpose of the course is to introduce the basic notions of linear algebra and its applications. Mathematics I (for SFU) UNIL-130 The goal of this course is to introduce the basic mathematical knowledge necessary to pursue studies in the fields of forensic sciences. It is intended f

Sofia Charlotta Olhede

I am a professor of Statistics at EPFL. I did my PhD in Mathematics at Imperial College London, and graduated in 2003. I was an assistant professor (lecturer) at Imperial College London 2002-2006, and an associate professor (senior lecturer) 2006-2007. In 2007 I moved to University College London and became a full professor. I moved to EPFL in 2019, and in 2018 I became an Institute of Mathematical Statistics Fellow with citation “For seminal contributions to the theory and application of large and heteroge

Prabhu Prasad Swain

Education Integrated M.Sc. (5 year) | Physics (majors)Chemistry, Biology, Mathematics and Electronics (minors) 2015 – 2020 UM-DAE Centre for Excellence in Basic Sciences, Mumbai

Philippe Chabloz

Teaching & PhD Courses Mathematics MATH-189 This course aims at giving the basic mathematical knowledge needed for architecture studies in an engineering school.

Roger Sauser

Teaching & PhD Courses Descriptive geometry (for MAN) PREPA-091 The course addresses the techniques of parallel projections (axonometry and Monge representation) and central projection (perspective) in order to develop the student's ability to describe and study objects and spatial situations by illustrating them with technical drawings. ICS (for CMS) PREPA-026 The present course presents numerical methods for solving nonlinear equations, computing definite integrals and sol

Samuel Dubuis

After mathematics studies at EPFL, I go on with a PhD thesis under the supervision of Prof. Marco Picasso. Interested in teaching, I turn to the preparatory year of EPFL (CMS) where I worked since 2020.Centers of interests I like to work in classroom with students, in particular to guide them through elementary mathematics contents, that are the basis of engineering and experimental sciences.I also work with Prof. Picasso and his PhD and intern students in the fields of scientific computing and numerical a

Michael Herbst

Expertise For more information about our research, see https://matmat.org/research/. Teaching & PhD PhD Students Niklas Frederik Schmitz, Anna Paulish, Bruno Ploumhans, Benedikt Menges Courses Error control in scientific modelling MATH-500 Errors are ubiquitous in computational science as neither models nor numerical techniques are perfect. With respect to eigenvalue problems motivated from materials science and atomistic modelling we discuss, implement and apply numerical techniques for e

Sayan Biswas

Expertise Decentralized Machine Learning and Federated Learning focusing on Privacy, Fairness, and Personalization; Secure and Trustworthy Distributed Systems; Differential Privacy; Location Privacy. Sayan Biswas (CV) is a Postdoctoral Researcher in the Scalable Computing Systems (SaCS) lab at EPFL, Switzerland, led by Prof. Anne-Marie Kermarrec. He completed his PhD in Computer Science at INRIA and école Polytechnique in France, under the supervision of Prof. Catuscia Palamidessi. Prior to that, Sayan stud

Siara Ruth Isaac

Expertise Higher education teaching and learningExperiential and hands-on learningTransversal skills for engineering studentsEpistemic cognition Education Ph.D., Educational Research | 2021 – 2021 Lancaster University, UK Directed by Paul Ashwin M.Sc., Bio-Organic Chemistry | 2008 – 2008 McGill University, Montreal Directed by Masad Damha B.Sc., Honours Chemistry | 2001 – 2001 McGill University, Montrea

Orane Pouchon

After studying Mathematics at EPFL and ETHZ, I went on to do a PhD in applied mathematics in Professor Assyr Abdulle's chair at EPFL. Attracted by teaching, I continued with a teaching diploma for secondary II.Since 2018, I've been back at EPFL, first as a lecturer and communications officer, and since 2021 as the deputy to the mathematics section.Parcours 2021 - .... : Deputy of the Section of Mathematics2018 - 2021 : Head of communication and lecturer for the Section and Institute of mathematics, EPFL2017

Jonathan Conrad

Expertise Quantum Error Correction, Lattice Theory Teaching & PhD Courses Methods in Quantum Error Correction CS-632 This course discusses mathematical methods of quantum error correction in the style via presentation and discussion of research papers. It covers basic algebraic and geometric properties of quantum error correcting codes and fault tolerance theory and prepares for research in this field.

Ahmed Wael Kamaleldin Saleh Ismail

Teaching & PhD Courses Geometry for architects I MATH-124 This course aims to reveal 3 of the founding principles of geometry. 1/ as an essential mathematic technique in the process of the conception of a project 2/ as a privileged field for parametric modeling software3/ as a component of the history of the culture of architecture. Geometry for architects II MATH-126 This course deals with the following subjects: perspective, descriptive geometry and an initiation to project

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