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ChE-607: AI in chemistry and beyond: Success stories

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BIOENG-490: Project in computational neurosciences

The student will engage in a laboratory-based project in the field of computational neuroscience in one of the research labs of the EPFL working in this field.

EE-625: Research seminars in Electrical Engineering

This course introduces students with current broad research directions in electrical engineering, via a series of weekly wide-audience seminars given by distinguished speakers. The students practice t

ChE-650: Artificial intelligence in chemistry and beyond (fall)

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

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

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.

FIN-418: Machine learning for finance

This course is introduces machine learning techniques for financial applications in algorithmic trading, derivatives pricing, model calibration, hedging, and risk management. The course format is hand

PHYS-815: 7th Machine learning in HEP Summer School

The school will cover the relatively young area of data analysis and computational research that has started to emerge in High Energy Physics (HEP). It is known by several names including "Multivariat

AR-597(b): Superstudio B

Superstudio est la plate-forme qui permet d'esquisser une vision de l'architecture qui, pour être efficace en termes de clarification d'une idée, doit pouvoir se manifester dans des formes poussées à

AR-301(o): Studio BA5 (elii)

Fiction is one of the laboratories that architecture uses for its tests. This should not come as a surprise, since architecture has always been a "science of fiction". The studio holds by elii [archit

CS-422: Database systems

This 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