Concept
Mathematical economics
Related courses (32)
EE-726: Sparse stochastic processes
We cover the theory and applications of sparse stochastic processes (SSP). SSP are solutions of differential equations driven by non-Gaussian innovations. They admit a parsimonious representation in a
ME-201: Continuum mechanics
Continuum conservation laws (e.g. mass, momentum and energy) will be introduced. Mathematical tools, including basic algebra and calculus of vectors and Cartesian tensors will be taught. Stress and de
CIVIL-557: Decision-aid methodologies in transportation
The course has two modules, the first Operations Research (OR), and the second is statistical modeling of transportation systems. Students will be modeling applied problems and developing solution met
PHYS-216: Mathematical methods (for SPH)
Ce cours est un complément aux cours d'analyse et d'algèbre linéaire qui apporte des méthodes et des techniques mathématiques supplémentaires requises pour les cours de physique de 3e année, notamment
MATH-456: Numerical analysis and computational mathematics
The course provides an introduction to scientific computing. Several numerical methods are presented for the computer solution of mathematical problems arising in different applications. The software
MATH-212: Analyse numérique et optimisation
L'étudiant apprendra à résoudre numériquement divers problèmes mathématiques. Les propriétés théoriques de ces
méthodes seront discutées.
BIO-411: Life Sciences engineering: genome to function
Students will acquire fundamental knowledge regarding how genomes can be engineered, how their function can be deciphered, and how their dynamic outputs can be analyzed and modeled.
MATH-481: Mathematical modelling of DNA
Mathematical modelling of DNA
MATH-616: Numerical methods for random PDEs and uncertainty
The course focuses on mathematical models based on PDEs with random parameters, and presents numerical techniques for forward uncertainty propagation, inverse uncertainty analysis in a Bayesian framew
BIO-465: Biological modeling of neural networks
In 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