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Related courses (15)
COM-502: Dynamical system theory for engineers
Linear and nonlinear dynamical systems are found in all fields of science and engineering. After a short review of linear system theory, the class will explain and develop the main tools for the quali
PHYS-314: Quantum physics II
The aim of this course is to familiarize the student with the concepts, methods and consequences of quantum physics.
MATH-305: Introduction to partial differential equations
This is an introductory course on Elliptic Partial Differential Equations. The course will cover the theory of both classical and generalized (weak) solutions of elliptic PDEs.
MSE-340: Polymer composites + Laboratory Work
Les propriétés mécaniques et physiques des composites anisotropes ainsi que leurs outils de calcul sont présentés. Les constituants, les mises en oeuvre et les relations microstructure-procédé-proprié
HUM-471: Economic growth and sustainability I
This course examines growth from various angles: economic growth, growth in the use of resources, need for growth, limits to growth, sustainable growth, and, if time permits, population growth and gro
PHYS-101(a): General physics : mechanics
Le but du cours de physique générale est de donner à l'étudiant les notions de base nécessaires à la compréhension des phénomènes physiques. L'objectif est atteint lorsque l'étudiant est capable de pr
MATH-351: Advanced numerical analysis II
The student will learn state-of-the-art algorithms for solving differential equations. The analysis and implementation of these algorithms will be discussed in some detail.
MSE-440: Composites technology
The latest developments in processing and the novel generations of organic composites are discussed.
Nanocomposites, adaptive composites and biocomposites are presented. Product development, cost anal
COM-404: Information theory and coding
The mathematical principles of communication that govern the compression and transmission of data and the design of efficient methods of doing so.
MATH-329: Continuous optimization
This course introduces students to continuous, nonlinear optimization. We study the theory of optimization with continuous variables (with full proofs), and we analyze and implement important algorith