MICRO-504: Photonic micro- and nanosystemsThis course aims at providing engineering and design guidelines for selected Photonic Micro- and Nanosystems. In particular, Optical MEMS and Integrated Photonics are reviewed. Standard fabrication pr
BIO-465: Biological modeling of neural networksIn this course we study mathematical models of neurons and neuronal networks in the context of biology and establish links to models of cognition. The focus is on brain dynamics approximated by determ
BIOENG-448: Fundamentals of neuroengineeringNeuroengineering is at the frontier between neuroscience and engineering: understanding how the brain works allows developing engineering applications and therapies of high impact, while the design of
MICRO-723: Deep Learning for Optical ImagingThis course will focus on the practical implementation of artificial neural networks (ANN) using the open-source TensorFlow machine learning library developed by Google for Python.
EE-714: Nonlinear signal modeling and predictionThe literature on nonlinear signal processing has exploded, and it becomes more and more difficult to identify the most useful approaches for specific contexts. This course presents promising developm
ENG-421: Fundamentals in systems engineeringIntroduction to systems engineering using the classical V-model. Topics include stakeholder analysis, requirements definition, concept selection, design definition and optimization, system integration
FIN-418: Machine learning for financeThis 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-449: Optics IIIRéaliser un système d'optique complexe. Comprendre l'interaction de la lumière avec la matière en optique nonlinéaire et optique pulsé. Comprendre les méthodes de génération, d'amplification e de comp
