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EE-596(a): Engineering internship (master in Electrical and Electronical engineering)

Cours associés (253)

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PHYS-203: Computational physics I

Aborder, formuler et résoudre des problèmes de physique en utilisant des méthodes numériques simples. Comprendre les avantages et les limites de ces méthodes (stabilité, convergence). Illustrer différ

AR-670: Affirming Actions

The course presents a particular type of architectural firms, established and led by women. Partly a reflection of marginal positions within professional markets, they indicate original directions for

AR-807: Tentacular Writing. A peer-to-peer Writing Retreat

This summer school renegotiates the ways we perform writing, as a format and as a practice. In the set-up of a collective retreat in the Swiss Alps, in a non-hierarchical learning format, a group of p

AR-660: SCIENCE AND SOCIETY. 7th Rencontres de l'EDAR

The 2023 edition of Les Rencontres de l'EDAR invites doctoral students to reflect on the social and "operational" value of research, referring to their own experience as young scholars - whether this

CS-210: Functional programming

Understanding of the principles and applications of functional programming, the fundamental models of program execution, application of fundamental methods of program composition, meta-programming thr

ENG-643: Teaching problem solving

Problem solving is a core engineering skill. This course explores relevant heuristics, epistemologies, metacognitive skills and evidence-informed teaching strategies for developing problem solving ski

BIOENG-605(a): Planning your scientific journey (EDBB)

Planning Your Scientific Journey: Being successful as a scientist requires more than acquiring knowledge and developing experimental skills. It also requires: (1) asking a good scientific question, (2

ENV-593: Engineering internship credited with master project (master in Energy Management and Sustainability)

L'étudiant effectue un stage en entreprise dans un domaine d'activité où les compétences de l'ingénieur en gestion de l'énergie sont mises en valeur.

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.

ChE-651: Artificial intelligence in chemistry and beyond (spring)

Should have expertise in chemistry, physics or lite and material sciences. Although a very good knowledge in Al-based algorithms is required to fully understand the technical details, a basic knowledg