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| == Course description == | | == Course description == |
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| One of the
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| Modern physics is characterized by an increasing complexity of systems under investigation, in
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| domains as diverse as condensed matter, astrophysics, biophysics, etc. Establishing adequate
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| models to describe these systems and being able to make quantitative predictions from those models
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| is extremely challenging. The goal of the course is to provide the tools and concepts necessary to tackle those systems.
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| We will first cover many algorithms used in many-body problems and complex systems, with special emphasis on Monte Carlo methods, molecular dynamics, and optimization in complex landscapes.
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| Second, we will provide statistical inference and machine learning tools to harness the growing availability of experimental data to design accurate models of the underlying, complex, strongly non-homogeneous and interacting systems.
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| Each theoretical lecture will be followed by a tutorial illustrating the concepts with practical applications
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| borrowed from various domains of physics. We will focus on methods and algorithms and physics, not
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| on programming and heavy numerics! You will have to hand in 3 homeworks.
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| =Tutorials= | | =Tutorials= |
This is the official page for the year 2023-2024 of Disordered Systems course.
Course description
You will have to hand in 3 homeworks.
Tutorials
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First Year : 15h45-17h45
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Second Year : 13h15-15h15
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| First Tutorial
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Complements
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| Second Tutorial
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| Third Tutorial
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The Team
Where and When
- Lectures on Monday: xx
- Tutorials on Monday: xx