MGT-416: Causal inferenceStudents will learn the core concepts and techniques of network analysis with emphasis on causal inference. Theory and
application will be balanced, with students working directly with network data th
CS-330: Artificial intelligenceIntroduction aux techniques de l'Intelligence Artificielle, complémentée par des exercices de programmation qui montrent les algorithmes et des exemples de leur application à des problèmes pratiques.
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
PENS-230: Digital ENAC: le codage en contexteDigital ENAC aims to provide students with the ability to apply the principles of coding to the practical life of designers and engineers. We will not focus on a specific coding language, but will ext
CS-212: System programming projectL'objectif de ce cours à projet est de donner aux étudiants une expérience de la pratique de la programmation système : écriture, correction, amélioration et analyse critique de leur code.
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-449: Systems for data scienceThe course covers fundamental principles for understanding and building systems for managing and analyzing large amounts of data.
