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MATH-476: Optimal transport

The first part is devoted to Monge and Kantorovitch problems, discussing the existence and the properties of the optimal plan. The second part introduces the Wasserstein distance on measures and devel

PHYS-754: Lecture series on scientific machine learning

This lecture presents ongoing work on how scientific questions can be tackled using machine learning. Machine learning enables extracting knowledge from data computationally and in an automatized way.

AR-481: Architecture in the age of acceleration

This course proposes to investigate six strategies for architecture in the age of acceleration: Acceleration, Regionalism, Participation, Transformation, Commonality and Resilience. Anchoring these st

ENV-501: Material flow analysis and resource management

This course provides the basis to understand material and energy production and consumption processes. Students learn how to develop a material flow analysis and apply it to resource management cases.

COM-490: Large-scale data science for real-world data

This hands-on course teaches the tools & methods used by data scientists, from researching solutions to scaling up prototypes to Spark clusters. It exposes the students to the entire data science pipe

MATH-515: Topics in calculus of variations

Introduction to classical Calculus of Variations and a selection of modern techniques.

MATH-212: Analyse numérique et optimisation

L'étudiant apprendra à résoudre numériquement divers problèmes mathématiques. Les propriétés théoriques de ces méthodes seront discutées.

BIOENG-457: Neuroengineering of vision

This course aims at providing the key knowledge and skills needed by professional bioengineers working in the field of vision restoration with neuroprostheses. During the course the students will work

BIOENG-605(a): Planning your scientific journey (EDBB)

Planning Your Scientific Journey: Being successful as a scientist requires more than acquiring knowledge and developing experimental skills. It also requires: (1) asking a good scientific question, (2

BIOENG-490: Project in computational neurosciences

The student will engage in a laboratory-based project in the field of computational neuroscience in one of the research labs of the EPFL working in this field.