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-503: Lab immersion IIIEngaging in a hands-on wetlab and/ or computational project in life sciences engineering, students develop skills in experimentation and data analysis. ...
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. ...
ChE-601: Hands-on with Research Data Management in ChemistryPhD 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), discover appropriate tools (day 2) and work on a project ( ...
CH-315: Modeling labIn this course we give a hands-on introduction on the use of modeling and data in chemistry. After an introduction in the different tools used by computational chemists, we discuss three topics in more detail molecular simulation of adsorption, data in che ...
CH-200: Practical programming in ChemistryThis course offers a comprehensive, practical introduction to computer programming tailored for chemists and chemical engineers. Python is the main language used throughout the course. ...
BIO-695: Image Processing for Life ScienceRegistration details will be announced via email. It takes place yearly from Sept./October to December & intends to teach image processing with a strong emphasis of applications in life sciences. The idea is to enable the participants to solve image-proces ...
CIVIL-332: Data Science for infrastructure condition monitoringThe course will cover the relevant steps of data-driven infrastructure condition monitoring, starting from data acquisition, going through the steps pre-processing of real data, feature engineering to developing suitable machine learning algorithms. ...
BIO-693(a): Bioinformatic Analysis of RNA-sequencing (Fall)Due to its success, this course will take place from 1st to 5th September 2025 in room AAC 0 20.
It introduces the workflows and techniques that are used for the analysis of bulk and single-cell RNA-seq data. It empowers students to understand and analyze ...
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.) ...
CIVIL-349: Traffic engineeringIntroduce the major elements of transportation systems and traffic engineering: develop analytical and technical skills in applying the fundamentals of the transport field; understand the key concepts and physics of the transport phenomena;connect with rea ...
CIVIL-608: Research skills in the Open Science EraResearch Skills in the Open Science Era is a course designed to explore the landscape of modern research tools and practices. You will gain insights into principles of open science, smart information retrieval, ethical publishing, coding best practices, an ...
BIOENG-606: EDCB seminar seriesThe EDCB seminar series provides EDCB students the opportunity to share their research and learn from their peers. Students can freely exchange, present data, ideas and get useful feedback on ongoing research and improve communication skills. ...
COM-480: Data visualizationUnderstanding why and how to present complex data interactively in an effective manner has become a crucial skill for any data scientist. In this course, you will learn how to design, judge, build and present your own interactive data visualizations. ...
ChE-312: Numerical methodsThis course introduces students to modern computational and mathematical techniques for solving problems in chemistry and chemical engineering. The use of introduced numerical methods will be demonstrated using the Python programming language. ...
BIOENG-518: Methods: from disease models to therapyThis course will describe methods underlying translational approaches from disease modeling and characterization to therapeutic applications. The presented techniques will be complemented by hands-on rotations in the technological platforms of the School o ...
ENG-209: Data science pour ingénieurs avec PythonCe cours propose une immersion progressive et complète dans le domaine de la Data Science à travers le langage Python. Il guide les étudiants depuis la manipulation de données brutes jusqu'à la modélisation et l'extraction de connaissances utiles à partir ...
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 ...
