GRADUATE COURSES
GRADUATE COURSES
From the fall of 2016, BGSMath offers intensive advanced graduate courses every semester on specialized topics. The duration is 10 to 20 hours distributed along 2 to 3 weeks. Some are in connection with our monthly programs while others stand alone. The courses are organized by BGSMath members and taught by research leaders in the corresponding fields.
FORTHCOMING GRADUATE COURSES
An introduction to Malliavin calculus and its applications
This BGSMath Graduate Course will consist of fi ve two-hours sessions devoted to
Speaker: David Nualart, University of Kansas (USA)
Topic: Malliavin calculus and its applications
An introduction to wavelets and their applications
This BGSMath Graduate Course will consist of six two-hours sessions devoted to wavelets and their applications.
Speakers: Joaquim Bruna (UAB & BGSMath), Josep Maria Mondelo (UAB & BGSMath)
PREVIOUS GRADUATE COURSES
Complex Dynamics and Applications
This BGSMath Graduate Course will take place on the week of 16 July.
Speaker: Juan Rivera-Letelier (University of Rochester)
Topic: Complex Dynamics and Applications
4th Barcelona Summer School on Stochastic Analysis: a 2018 EMS Summer School
Two courses: Some stochastic models in eco-evolution, by S. Méléard & Zero sets of random functions, by M. Sodin.
An introduction to Parameterized Complexity
The course (9-12 Apr 2018) covers the concept of problem parameterization, explains why and how this induced the definition of the parameterized complexity hierarchy, and provides some links of this theory to the classical complexity theory.
Metaheuristics Course
The first goal of this course is to give the students a general idea of the class of problems that benefit from and are amenable to be efficiently solvable by metaheuristics.
*** Please note some last-minute change!***
Algebraic and combinatorial phylogenetics
The course will go from the basics of stochastic processes and combinatorial objects related to phylogenetics to the deep understanding of …
Random Discrete Structures
Random methods have become one of the most active and fruitful areas of research in many areas of mathematics, science and engineering, …
Interactions of harmonic analysis, combinatorics and number theory
The main purpose of this course is to explore several applications of Fourier analytic techniques in number theory and combinatorics, …
Arithmetic properties of curves of small genus
The course is an introduction to theoretical and computational aspects of curves of small genus as well as their Jacobians. …
p-adic methods for Galois representations and modular forms
We organize three advanced courses by leading experts in the subject, suitable for PhD students, postdoc researchers and senior number-theorists.
Category theory
This course is a systematic introduction to modern Category Theory, useful to all students in Algebra, Geometry, Topology, Combinatorics, or Logic.
A primer on K-theory and its applications
In this course we will present the basic tools of the subject, with a stress on applications in various areas by means of examples.
Algorithmic group theory
In this course we propose a trip through modern infinite group theory with a special emphasis on algorithmic issues.
Mathematical logic and linguistics
One of the new directions taken by mathematical logic in the late 20th century was the turn towards substructural or resource-conscious inference [Girard 1987].
Information theory
The aims of this course are to review the fundamental principles and methods of information theory.
Quasiconformal mappings and Complex Dynamics
This course will explore the interplay between quasiconformal geometry and holomorphic dynamics.
Computational tools for Number Theory and Algebra
REMARK: The course will include a number of laboratory sessions to practice the main topics with SAGE and Magma.
Lie groups and bundles
Both Lie groups and line bundles are transversal tools that are used in many mathematical fields. We start from a geometrical point view, …
Partial differential equations
The course will start with a modern review of the key topics learnt in a first PDE course.
Homology in Algebra and Geometry
The course will present the classical setting of homology as well as an introduction to the more recent aspects that right now are changing the subject.
Random Structures and the probabilistic method
Probabilistic methods have a wide range of applications in several areas of mathematics, including analysis, geometry, combinatorics,…
A course on Dynamical Systems
The lectures will be chosen among the following list of topics, according to the interests and backgrounds of the students…