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ChE-601: Hands-on with Research Data Management in Chemistry

PhD students in Chemistry will learn hands-on Research Data Management (RDM) skills transferable to their research practices. They will contextualize their research into RDM best practices (day 1), di

DH-412: History and the digital

The course presents a number of computational approaches & tools that can be used to study history. Drawing on case studies from the history of science & technology, the course also offers students th

MGT-432: Data science for business

Students will learn how data science can be used to make better business decisions. In doing this we examine the basic data science techniques used in business and how to evaluate them within a busine

BIO-693: Bioinformatic Analysis of RNA-sequencing

This course will take place from 2nd to 6th June 2025 in room AAC 1 37. It introduces the workflows and techniques that are used for the analysis of bulk and single-cell RNA-seq data. It empowers stu

BIO-604: ORPER summer school

This summer school will provide PhD students knowledge on the different practices that they can adopt from the beginning of their research journey onwards, to improve the quality, transparency, sharea

ME-412: Experimental methods in engineering mechanics

This course gives an advanced treatment of experimental methods in the context of mechanics by way of example. Students will construct significant components of experimental apparatus, use their appar

MATH-656: Numerical linear algebra for Koopman and DMD

The Dynamic Mode Decomposition (DMD) has become a tool of trade in computational data driven analysis of complex dynamical systems. The DMD is deeply connected with the Koopman spectral analysis of no

ENG-209: Data science for engineers with Python

Ce cours est divisé en deux partie. La première partie présente le langage Python et les différences notables entre Python et C++ (utilisé dans le cours précédent ICC). La seconde partie est une intro

CH-609: Introduction to the ChemInfo ELN of ISIC

This course will be on Electronic Laboratory Notebooks and is aimed at (future) users. Multiple electronic lab notebooks exists. The course will focus on the Cheminfo tools (https://eln.epfl.ch/).

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