Concept
Web content
Cours associés (18)
CIVIL-611: Frontiers of Deep Learning for Engineers
The seminar aims at discussing recent research papers in the field of deep learning, implementing the transferability/adaptability of the proposed approaches to applications in the field of research o
MSE-668: Non-destructive methods for industry and research
Basic knowledge ofthe classical non-destructive testing methods as they are used today in industrial applications and the advanced
(mosily imaginé) technologies used for the analysis of materials and
DH-500: Computational Social Media
The course integrates concepts from media studies, machine learning, multimedia, and network science to characterize social practices and analyze content in platforms like Twitter, Instagram, YouTube,
AR-519: UE M : Constructing materials
This course examines how conceptions of building materials are shaped, how they entangle with their use in architecture, and what happens when materials come together in buildings. Guided research pro
CS-423: Distributed information systems
This course introduces the foundations of information retrieval, data mining and knowledge bases, which constitute the foundations of today's Web-based distributed information systems.
CS-523: Advanced topics on privacy enhancing technologies
This advanced course will provide students with the knowledge to tackle the design of privacy-preserving ICT systems. Students will learn about existing technologies to prect privacy, and how to evalu
PHYS-743: Parallel programming
Learn the concepts, tools and API's that are needed to debug, test, optimize and parallelize a scientific application on a cluster from an existing code or from scratch. Both OpenMP (shared memory) an
ENV-367: Environmental and construction law
Ce cours donne aux étudiant-e-s les connaissances de base nécessaires pour comprendre les dimensions juridiques de leur activité professionnelle concernant l'aménagement du territoire et la protection
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
CS-438: Decentralized systems engineering
A decentralized system is one that works when no single party is in charge or fully trusted. This course teaches decentralized systems principles while guiding students through the engineering of thei