MATH-341: Linear modelsRegression modelling is a fundamental tool of statistics, because it describes how the law of a random variable of interest may depend on other variables. This course aims to familiarize students with linear models and some of their extensions, which lie a ...
AR-301(bh): Studio BA5 (Weyell Zipse)The Systemic Type explores architecture as an open system, adapting to changing environmental, social and programmatic conditions. Typology is understood not as a fixed model, but as a set of relationships between structure and space, inside and outside, climate and material, permanence and change.
AR-302(bh): Studio BA6 (Weyell Zipse)The Systemic Type explores architecture as an open system, adapting to changing environmental, social and programmatic conditions. Typology is understood not as a fixed model, but as a set of relationships between structure and space, inside and outside, climate and material, permanence and change.
AR-401(bh): Studio MA1 (Weyell Zipse)The Systemic Type explores architecture as an open system, adapting to changing environmental, social and programmatic conditions. Typology is understood not as a fixed model, but as a set of relationships between structure and space, inside and outside, climate and material, permanence and change.
AR-402(bh): Studio MA2 (Weyell Zipse)The Systemic Type explores architecture as an open system, adapting to changing environmental, social and programmatic conditions. Typology is understood not as a fixed model, but as a set of relationships between structure and space, inside and outside, climate and material, permanence and change.
CS-401: Applied data analysisThis 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 data science world (pandas, scikit-learn, Spark, etc.) ...
CS-421: Machine learning for behavioral dataComputer environments such as educational games, interactive simulations, and web services provide large amounts of data, which can be analyzed and serve as a basis for adaptation. This course will cover the core methods of user modeling and personalizatio ...
MGT-418: Convex optimizationThis course introduces the theory and application of modern convex optimization from an engineering perspective. ...
PHYS-454: Quantum optics and quantum informationThis lecture describes advanced concepts and applications of quantum optics. It emphasizes the connection with ongoing research, and with the fast growing field of quantum technologies. The topics cover some aspects of quantum information processing, quant ...
CS-457: Geometric computingThis course will cover mathematical concepts and efficient numerical methods for geometric computing. We will explore the beauty of geometry and develop algorithms to simulate and optimize 2D and 3D geometric models with an emphasis towards computational d ...
PHYS-754: Lecture series on scientific machine learningThis lecture presents ongoing work on how scientific questions can be tackled using machine learning. Machine learning enables extracting knowledge from data computationally and in an automatized way. We will learn on examples how this is influencing the v ...
MSE-234: Mechanical behaviour of materialsCe cours est une introduction au comportement mécanique, à l'élaboration, à la structure et au cycle de vie des grandes classes de matériaux de structure (métaux, polymères, céramiques et composites) ...
MATH-442: Statistical theoryThis course gives a mostly rigourous treatment of some statistical methods outside the context of standard likelihood theory. ...
MATH-474: Statistics for genomic data analysisAfter a short introduction to basic molecular biology and genomic technologies, this course covers the most useful statistical concepts and methods for the analysis of genomic data. ...
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 ...
MATH-493: Applied biostatisticsThis course covers topics in applied biostatistics, with an emphasis on practical aspects of data analysis using R statistical software. Topics include types of studies and their design and analysis, high dimensional data analysis (genetic/genomic) and oth ...
