CS-423: Distributed information systemsThis course introduces the foundations of information retrieval, data mining and knowledge bases, which constitute the foundations of today's Web-based distributed information systems.
CS-477: Advanced operating systemsThis course teaches advanced OS system design. Using an extensive hands-on approach, the course focuses on traditional and new concepts proposed in the past two decades in the area of operating system
ENV-342: Geographic information system (GIS)Acquisition de concepts et compétences de base liées à la représentation numérique des données géographiques et à leur insertion dans des SIG. Apprentissage de processus d'analyse spatiale pour les in
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
ENG-400: Water quality modelingThis course builds on environmental chemistry and microbiology taken in previous courses. The emphasis is on quantification using the public domain package, PHREEQC, which is an excellent computation
ENV-547: Design of SIGCe cours traite de la réalisation d'outils SIG et porte sur l'approche méthodologique, l'environnement technologique et institutionnel, le design conceptuel et l'implémentation. La création d'un Web S
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
CS-449: Systems for data scienceThe course covers fundamental principles for understanding and building systems for managing and analyzing large amounts of data.
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-726: Machine Learning for Database SystemsThis course covers the emerging interdisciplinary field targeting the intersection of Machine Learning and Database Systems. The students will read, review and present papers from recent venues across
