EE-552: Media securityThis course provides attendees with theoretical and practical issues in media security. In addition to lectures by the professor, the course includes laboratory sessions, a mini-project, and a mid-term exam. ...
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 ...
MATH-131: Probabilités et statistiqueLe cours présente les notions de base de la théorie des probabilités et de l'inférence statistique. L'accent est mis sur les concepts principaux ainsi que les méthodes les plus utilisées. ...
PHYS-118: Physique du bâtimentCe cours traite des principaux phénomènes physiques observables dans le bâtiment et doit permettre à l'étudiant d'acquérir des connaissances de base dans le domaine de la physique du bâtiment. ...
ChE-340: Le génie de la réaction chimiqueCe cours applique les concepts de la cinétique chimique et des bilans de masse et d'énergie pour résoudre les problèmes de génie des réactions chimiques, en mettant l'accent sur les applications industrielles. Les étudiants développent leur capacité d'anal ...
MGT-482: Principles of financeThe course provides a market-oriented framework for analyzing the major financial decisions made by firms. It provides an introduction to valuation techniques, investment decisions, asset valuation, financing decisions, and sustainable finance. ...
ENG-410: Energy supply, economics and transitionThis course examines energy systems from various angles: available resources, how they can be combined or substituted, their private and social costs, whether they can meet the energy demand, and how the transition to a renewable energy system can be foste ...
FIN-401: Introduction to financeThe course provides provides an introduction to valuation techniques, investment decisions, asset valuation and portfolio choice, financing decisions, derivatives pricing, and sustainable finance. ...
HUM-279: Learning and collaboration in projectsThis course addresses the theoretical and practical basis of learning and how to facilitate learning through projects. Active exploration of models, contexts and tools used in project-based learning will help you to develop cognitive and collaboration skil ...
MICRO-530: NanotechnologyThis course gives the basics for understanding nanotechnology from an engineer's perspective: physical background, materials aspects and scaling laws, fabrication and imaging of nanoscale devices. ...
MATH-431: Theory of stochastic calculusIntroduction to the mathematical theory of stochastic calculus: construction of the Ito stochastic integral, proof of the Ito formula, introduction to stochastic differential equations, Girsanov's theorem and the Feynman-Kac formula, the martingale represe ...
ENG-272: Fluid mechanics (for SIE)This course helps students acquire basic knowledge of the main concepts and equations of fluid mechanics and develop the skills necessary to work effectively in professional engineering practice. ...
ENG-436: Food biotechnologyThe course will deliver basic knowledge on the principles of food fermentation and enzyme technology. The course will also present benefits that food biotechnology can bring in terms of Nutrition & Health and Sustainability. ...
MATH-421: Equations aux dérivées partielles d'évolutionTechniques et théories de base pour les équations aux dérivées partielles d'évolution. Etude d'exemples fondamentaux: équations du premier ordre, équation des ondes, équation de la chaleur. Théorème de Cauchy-Kowalevsky, problèmes abstraits d'évolution. ...
MGT-201: Introduction to entrepreneurshipThis course provides an introduction to the field of entrepreneurship, in particular the process of new venture creation and the commercialization of technologies. It integrates theories of entrepreneurship with a practical, process-based
project, where st ...
CS-250: Algorithms IThe students learn the theory and practice of basic concepts and techniques in algorithms. The course covers mathematical induction, techniques for analyzing algorithms, elementary data structures, major algorithmic paradigms such as dynamic programming, s ...
