CS-322: Introduction to database systemsThis course provides a deep understanding of the concepts behind data management systems. It covers fundamental data management topics such as system architecture, data models, query processing and op
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.
AR-666: Contemporary modernityThe seminar will revisit notions, works, architects, and authors of XXIth century Modernism. It will question the issue of "being contemporary" - matching the characteristics of the era you live. Lear
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,
HUM-456: Digital humanities IIAlliant numérique et histoire, cet enseignement aborde le traitement par la presse des grands événements internationaux du XXe siècle. En travaillant sur les archives numérisées, les étudiant-e-s util
AR-620: Unearthing traces - Part 1«Unearthing Traces» proposes to explore memory processes, power structures in archival practices in relation to built environments and
material traces, providing an interdisciplinary frame allowing fo
