Concept
Data mapping
Cours associés (13)
CS-489: Experience design
As we move towards a design economy, the success of new products, systems and services depend increasingly on the excellence of personal experience. This course introduces students to the notion and p
CS-401: Applied data analysis
This course teaches the basic techniques, methodologies, and practical skills required to draw meaningful insights from a variety of data, with the help of the most acclaimed software tools in the dat
FIN-525: Financial big data
The course introduces modern methods to acquire, clean, and analyze large quantities of financial data efficiently. The second part expands on how to apply these techniques and robust statistics to fi
MATH-517: Statistical computation and visualisation
The course will provide the opportunity to tackle real world problems requiring advanced computational skills and visualisation techniques to complement statistical thinking. Students will practice pr
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
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
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
ME-498: Continuous improvement of manufacturing systems
Continuous Improvement encompasses the ongoing effort to capture, create, and deliver value to internal and external customers. This course empowers students to lead teams and harness technology to im
BIO-378: Physiology lab I
Le TP de physiologie introduit les approches expérimentales du domaine biomédical, avec les montages de mesure, les capteurs, le conditionnement des signaux, l'acquisition et traitement de données.
Le
BIO-379: Physiology lab II
Le TP de physiologie introduit les approches expérimentales du domaine biomédical, avec les montages de mesure, les capteurs, le conditionnement des signaux, l'acquisition et traitement de données.
Le