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Cours

BIOENG-514: Lab methods : flow cytometry

Cours associés (31)

BIOENG-320: Synthetic biology

This advanced Bachelor/Master level course will cover fundamentals and approaches at the interface of biology, chemistry, engineering and computer science for diverse fields of synthetic biology. This class requires critical and analytical thinking at the ...

EE-110: Systèmes logiques (pour MT)

Ce cours couvre les fondements des systèmes numériques. Sur la base d'algèbre Booléenne et de circuitscombinatoires et séquentiels incluant les machines d'états finis, les methodes d'analyse et de synthèse de systèmelogiques sont étudiées et appliquée ...

ME-411: Mechanics of slender structures

Analysis of the mechanical response and deformation of slender structural elements. ...

EE-568: Reinforcement learning

This course describes theory and methods for Reinforcement Learning (RL), which revolves around decision making under uncertainty. The course covers classic algorithms in RL as well as recent algorithms under the lens of contemporary optimization. ...

HUM-429: Philosophie des sciences de la vie I

Comprendre et discuter les questions centrales de la philosophie des sciences de la vie, par exemple celle du réductionnisme ou pourquoi le libre arbitre pourrait être une illusion. Transposer les problèmes et les arguments d'un débat à un autre. Évaluer l ...

PHYS-427: Relativity and cosmology I

Introduce the students to general relativity and its classical tests. ...

CH-417: Optical methods in chemistry

Introduction and application of photon based tools for chemical sciences: from basic concepts to optical and x-ray lasers ...

MATH-600: Optimization and simulation

Master state-of-the art methods in optimization with heuristics and simulation. Work involves:

reading the material beforehand
class hours to discuss the material and solve problems
homework ...

MATH-476: Optimal transport

The first part is devoted to Monge and Kantorovitch problems, discussing the existence and the properties of the optimal plan. The second part introduces the Wasserstein distance on measures and develops applications of optimal transport to PDEs, functiona ...

PHYS-642: Statistical physics for optimization & learning

This course covers the statistical physics approach to computer science problems, with an emphasis on heuristic & rigorous mathematical technics, ranging from graph theory and constraint satisfaction to inference to machine learning, neural networks and st ...

PHYS-428: Relativity and cosmology II

This course is the basic introduction to modern cosmology. It introduces students to the main concepts and formalism of cosmology, the observational status of Hot Big Bang theory and discusses major physical processes in the early Universe. ...