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.



Poisson processes: Stochastic Analysis, Malliavin-Stein Method, and Stochastic Geometry

Poisson processes are an important class of stochastic processes featuring in many branches of probability theory. They play a central role in stochastic geometry, where one is often interested in random geometric structures constructed from underlying Poisson processes. Examples include random tessellations, geometric random graphs, Boolean models, and random polytopes.

April 19 – May 7, 2021

Fragments of algebraic graph theory

From January 13 to March 25, Wednesdays and Thursdays 17h-19h (Barcelona time)

The course will be entirely accessible through the web.

Quantum Error-Correcting Codes

We will focus for a large part of the course on stabiliser codes which have an analogue in classical error-correcting codes. This will give us an opportunity to delve into classical error-correction too and it will turn out that some constructions of quantum codes can be lifted from the classical case.
Lecturers: Simeon Ball (UPC) and Felix Huber (ICFO)
January 21st and 23rd, 2020. Two sessions of two hours each day of the course (morning/afternoon).

Singular Integrals

Starting day: October 7, 2019. Last day: January 23, 2020
Organiser: Xavier Tolsa, ICREA-UAB
Speakers: Xavier Tolsa, ICREA-UAB (theory), Yorgos Sakellaris, UAB (problem sessions)

Course on K3 Surfaces

Fridays from 10:30 to 13:00 (October 4th to November 29th, 2019)
Organiser: Joan Carles Naranjo (Universitat de Barcelona)
Speakers: Martí Lahoz and Joan Carles Naranjo, University of Barcelona

Lectures on Quadratic Forms

September 17th, 2019. Organiser: Enrique Casanovas (Universitat de Barcelona)
Speakers: Martin Ziegler, Visiting Research Professor, University of Barcelona

Sun Tzu approach to the Riemann Hypothesis

An introduction to the Riemann Hypothesis and a panoramic overview of the conjecture.
11 – 14 June 2019. Organiser: Eva Miranda (UPC-BGSMath)
Speakers: Vicente Muñoz (University of Málaga), Ricardo Pérez Marco (CNRS & University of Paris Diderot)

An Introduction to Equilibrium Problems and their applications

The goal of this course is to provide a comprehensive overview of the main theoretical results and solution algorithms for Ky Fan inequalities, together with a wealth of applications.
Lecturer: Mauro Passacantando (University of Pisa)

An introduction to wavelets and their applications

This BGSMath Graduate Course will consist of six two-hours sessions devoted to wavelets and their applications.
New room! Aula T1, Faculty of Mathematics and Computer Science, Univ. of Barcelona
Speakers: Joaquim Bruna (UAB & BGSMath), Josep Maria Mondelo (UAB & BGSMath)

Introduction to statistical learning theory

The goal of this 10-hour course is to lay out some of the basic principles and introduce mathematical tools that help understand and analyze machine learning algorithms.
Speaker: Gábor Lugosi, ICREA Research Professor, BGSMath – Universitat Pompeu Fabra.

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

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!***

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, …

Category theory

This course is a systematic introduction to modern Category Theory, useful to all students in Algebra, Geometry, Topology, Combinatorics, or Logic.

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.

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, …

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.

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…