NX-435: Systems neuroscienceThe course "Systems Neuroscience" explores neural circuits and networks to understand how groups of neurons process information and generate behavior. It integrates techniques from neurophysiology, anatomy, genetics, and computer science to investigate com ...
NX-436: Advanced methods for human neuromodulationNeuromodulation is an expending field especially in human translational neuroscience and neurotechnology. This course will introduce to different approaches / technologies for neuromodulation, their underlying mechanisms of action and application in humans ...
NX-423: Translational neuroengineeringThis course integrates knowledge in basic, systems, clinical and computational neuroscience, and engineering with the goal of translating this integrated knowledge into the development of novel methods, technology for the clinical application for patients ...
HUM-256: Brain, mind and societyCe cours aborde les sujets relatifs aux recherches sur les bases cérébrales des actions humaines, en revenant notamment sur l'histoire du cerveau, les changements actuels liés au développement des neurosciences, ainsi que les liens entre cerveau et maladie ...
NX-465: Computational neurosciences: neuronal dynamicsIn 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 deterministic or stochastic differential equations. ...
PHYS-754: Lecture series on scientific machine learningThis lecture presents ongoing work on how scientific questions can be tackled using machine learning. Machine learning enables extracting knowledge from data computationally and in an automatized way. We will learn on examples how this is influencing the v ...
BIO-503: Lab immersion IIIEngaging in a hands-on wetlab and/ or computational project in life sciences engineering, students develop skills in experimentation and data analysis. ...
BIO-501: Lab immersion IEngaging in a hands-on wetlab and/ or computational project in life sciences engineering, students develop skills in experimentation and data analysis. ...
BIO-502: Lab immersion IIEngaging in a hands-on wetlab and/ or computational project in life sciences engineering, students develop skills in experimentation and data analysis. ...
CS-459: Foundations of probabilistic proofsProbabilistic proof systems (eg PCPs and IPs) have had a tremendous impact on theoretical computer science, as well as on real-world secure systems. They underlie delegation of computation protocols and hardness of approximation. This course covers the fou ...
PHYS-512: Statistical physics of computationThe students understand tools from the statistical physics of disordered systems, and apply them to study computational and statistical problems in graph theory, discrete optimisation, inference and machine learning. ...
DH-500: Computational Social MediaThe course integrates concepts from media studies, machine learning, multimedia, and network science to characterize social practices and analyze content in platforms like Twitter/X, Instagram, YouTube, and TikTok. Students will learn computational methods ...
BIOENG-456: Controlling behavior in animals and robotsStudents will acquire an integrative view on biological and artificial algorithms for controlling autonomous behaviors. Students will synthesize and apply this knowledge in oral presentations and computational exercises. ...
ME-480: Mechanobiology: how mechanics regulate lifeThe objective of this course is to expose students to the fundamentals of mechanobiology. We will highlight the technologies that enable the study of living systems including mechanical manipulation and characterization, along with computational modeling f ...
MATH-642: Artificial LifeWe will give an overview of the field of Artificial Life (Alife). We study questions such as emergence of complexity, self-reproduction, evolution, both through concrete models and through mathematical results. We will describe some of the most influential ...
