Cours
BIO-482: Neuroscience: cellular and circuit mechanisms
Cours associés (64)
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L'étudiant sera capable de concevoir, de réaliser et de programmer une électronique complète de commande de moteur ou d'actionneur. Il saura appliquer la théorie de la commande de moteur sur des systè
PHYS-467: Machine learning for physicists
Machine learning and data analysis are becoming increasingly central in sciences including physics. In this course, fundamental principles and methods of machine learning will be introduced and practi
CS-503: Visual intelligence : machines and minds
The course will discuss classic material as well as recent advances in computer vision and machine learning relevant to processing visual data -- with a primary focus on embodied intelligence and visi
BIO-369: Randomness and information in biological data
Biology is becoming more and more a data science, as illustrated by the explosion of available genome sequences. This course aims to show how we can make sense of such data and harness it in order to
BIO-620: Neuroeconomics / Decision Neuroscience
This course covers three major topics introducing: (1) fMRI methods, experimental designs and fMRI analysis; (2) recent research on cognitive and decision neuroscience in humans; (3) neuroimaging stud
CS-479: Learning in neural networks
Artificial Neural Networks are inspired by Biological Neural Networks. One big difference is
that optimization in Deep Learning is done with the BackProp Algorithm, whereas in biological neural
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MICRO-314: Actuators and Electromagnetic systems II
Les étudiants seront capables de modéliser, de simuler et de mesurer des actionneurs électromagnétiques et des moteurs électriques.
EE-566: Adaptation and learning
In this course, students learn to design and master algorithms and core concepts related to inference and learning from data and the foundations of adaptation and learning theories with applications.
ME-303: Microinformatique (pour GM)
Comprendre les microcontrôleurs et apprendre à les mettre en oeuvre, en particulier pour la commande de systèmes mécaniques.
EE-361: Electrical machines (for EL)
L'objectif de ce cours est d'acquérir les connaissances de base liées aux machines électriques (conversion électromécanique). Le cours porte sur le circuit magnétique, le transformateur, les machines