HUM-470: Economic growth and sustainability IIIn this seminar, students work in groups to prepare a report illustrating material taught in the first semester. Specifically, the groups will choose a significant environmental impact or resource use, and apply decomposition analysis to understand the rol ...
ENG-410: Energy supply, economics and transitionThis course examines energy systems from various angles: available resources, how they can be combined or substituted, their private and social costs, whether they can meet the energy demand, and how the transition to a renewable energy system can be foste ...
COM-490: Large-scale data science for real-world dataThis hands-on course covers tools and methods used by data scientists, from researching solutions to scaling prototypes on Spark clusters. Students engage with the full data engineering and data science pipeline, from data acquisition to extracting insight ...
BIO-369: Randomness and information in biological dataBiology is becoming more and more a data science, as illustrated by the explosion of available genome sequences. This course aims to show how we can make sense of such data and harness it in order to understand biological processes in a quantitative way. ...
AR-402(k): Théorie et critique du projet MA2 (Huang)The studio examines the effects of artificial intelligence on architecture and cities. Generative tools are approached as cultural and political instruments, shaping design through data grounded in territory, economy, identity, imagery, and ecology. ...
AR-680: Urbanism of Hope. 16th IFoU Conference.In a context of global crisis, the 16th IFoU conference focuses on attempts, approaches, and solutions on local level. To what extend are they able to reduce the impact of environmental disasters, to improve resiliency and social integration, to overcome f ...
BIO-693: Bioinformatic Analysis of RNA-sequencingThis course will take place from 3rd to 7th June 2024.
It will introduce the workflows and techniques that are used for the analysis of bulk and single cell RNA-seq data. It will empower students to understand and analyze their own data. ...
CS-423: Distributed information systemsThis course introduces the foundations of information retrieval, data mining and knowledge bases, which constitute the foundations of today's Web-based distributed information systems. ...
DH-406: Machine learning for DHThis course aims to introduce the basic principles of machine learning in the context of the digital humanities. We will cover both supervised and unsupervised learning techniques, and study and implement methods to analyze diverse data types, such as imag ...
