AR-628: Transition workshop 2022Focusing on the cricital issues of Geneva's changing landscape, the workshop offers a concise introduction to the issues and dimensions of ecological transition by design at all scales, and a cross-di
CS-422: Database systemsThis course is intended for students who want to understand modern large-scale data analysis systems and database systems. It covers a wide range of topics and technologies, and will prepare students
BIOENG-450: In silico neuroscience"In silico Neuroscience" introduces students to a synthesis of modern neuroscience and state-of-the-art data management, modelling and computing technologies.
CS-449: Systems for data scienceThe course covers fundamental principles for understanding and building systems for managing and analyzing large amounts of data.
MGT-492: Data science and machine learning IThis class provides a hands-on introduction to data science and machine learning topics, exploring areas such as data acquisition and cleaning, regression, classification, clustering, neural networks,
ENG-421: Fundamentals in systems engineeringIntroduction to systems engineering using the classical V-model. Topics include stakeholder analysis, requirements definition, concept selection, design definition and optimization, system integration
