CS-341: Computer graphicsThe students study and apply fundamental concepts and algorithms of computer graphics for rendering, geometry
synthesis, and animation. They design and implement their own interactive graphics program
CS-455: Topics in theoretical computer scienceThe students gain an in-depth knowledge of several current and emerging areas of theoretical computer science. The course familiarizes them with advanced techniques, and develops an understanding of f
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 imple
BIO-693: Bioinformatic Analysis of RNA-sequencingThis 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
BIOENG-519: Methods: omics in biomedical researchHigh-throughput methodologies broadly called Omics allow to characterize the complexity and dynamics of any biological system. This course will provide a general description of different methods relat
CS-450: Algorithms IIA first graduate course in algorithms, this course assumes minimal background, but moves rapidly. The objective is to learn the main techniques of algorithm analysis and design, while building a reper
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.
AR-659: Minoring architectural researchA theoretical and practical reflection on the possibilities, positions and methodologies of a minor approach to architectural research will reveal key concepts and tools to establish a critical positi
CS-233(a): Introduction to machine learning (BA3)Machine learning and data analysis are becoming increasingly central in many sciences and applications. In this course, fundamental principles and methods of machine learning will be introduced, analy
ENG-440: Spatial statistics and analysisThe main objective is to make the students understand the importance of the spatial issues in environmental sciences and engineering, for example for mapping and interpolation. Presentation of differe
ENV-445: GeomonitoringThe students learn several techniques for spatial mesurements, such as geodesy, aerial photogrammetry and laser scanning. They will be able to collaborate with geologists and civil engineers to master
AR-705: Baukultur and the culture of transitionBaukultur can be approached through the emerging socio-ecological Transition, as two main cultures that still need to be aligned. The Habitat Research Center organizes a public seminar and several aca
