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BCAM holds a series of training courses on advanced aspects of applied, computational and pure mathematics. They are mainly aimed at training master and doctoral students:

1. BCAM & UPV/EHU Courses are recognized by the University of the Basque Country within the Master on Mathematical Modelling, Statistics and Computing Research, but anyone else is welcome to participate.
See below

2. BCAM Courses (others) for postgraduate students and researchers.
See below

3. BCAM Severo Ochoa Course program in Pure Mathematics
The 2021-2022 program comprises 3 courses and several complementary lectures. Each course will be preceded by a general audience motivating lecture by a renowned expert in which the main aspects of the theory will be presented.

by C. Martínez (University of Zaragoza)
30 hours.

September 29th 2021 – November 17th 2021. Mondays and Wednesdays from 16:00 to 18:00
Location: Online

Inaugural lecture: Peter Kropholler (University of Southampton). Wednesday, September 29th, 2021 at 12:00

Course description

by M. Sousa, I. Parissis, L. Roncal
30 hours

January 10th- February 25th 2022. Mondays and Wednesdays from 16:00 to 18:00. It will also take place Friday, February 11th from 16:00 to 18:00
Location: BCAM and Online

Inaugural lecture by M. J. Carro (U. Complutense de Madrid). Wednesday, December 15th 2021, from 12:00 to 13:45.

Course description

by M. Fernández (Basque Country University)

Location: UPV/EHU and Online

Inaugural lecture by V. Apostolov (Université du Québec à Montréal) February 2022, precise time to be announced.

Course description

The following people are in charge of the courses program. Please contact them for any course suggestion.
• The Scientific Program of BCAM Courses in Applied Mathematics is coordinated by J. Fernández de Bobadilla.
• The Scientific Program of BCAM Severo Ochoa Course Program in Pure Mathematics is coordinated by the following Committee:
- J. Ignacio Cogolludo (Zaragoza, head of the inter-university Ph.D. program).
- C. Gorría (UPV/EHU, head of the inter-university Ph.D. program).
- L. Roncal (BCAM).
- L. Vega (UPV/EHU-BCAM).
- I. Kazachkov (UPV/EHU).
- J. Fernáńdez de Bobadilla (BCAM).


BCAM & UPV/EHU Courses are 10-hours courses, organized in five sessions from Monday to Friday between 9:00 and 11:00.
BCAM Courses have a more flexible structure, according to the lecturer and audience.
BCAM Severo Ochoa Course Program in Pure Mathematics comprises several courses per year, aiming to cover a balanced thematically spectrum within pure mathematics and helping our students to build a solid theoretical core. The format and schedule of the courses is not necessarily fixed: they can range from a semester weekly meeting courses to intensive courses or even clusters of courses forming a mini-school.


Please, note that English is the official language at BCAM and all the courses will be taught in English.


The courses take place at BCAM headquarters: Alameda de Mazarredo 14, 48009 Bilbao - Basque Country - Spain. Some courses may be given at the UPV/EHU.
Efforts are currently be taken in transmitting courses in streaming to reach wider audiences. Some course may take a purely on-line format.


Attendance at the courses is free, but the inscription is mandatory. Please, check the requirements of each specific course in the available offer.

Courses list

Mathematical Models in Epidemiology (MME)

March 25, 2022 - June 17, 2022 at 12:00 - BCAM

Dr. Maíra Aguiar (BCAM), Dr. Nicole Cusimano (BCAM), Dr. Damián Knopoff (BCAM), Dr. Nico Stollenwerk (BCAM), Dr. Vanessa Steindorf (BCAM), Dr. Fernando Saldaña (BCAM), Dr. Akhil Srivastav (BCAM) and Carlo Estadilla (BCAM)

Recent trends in deep learning research, and their possible applications on deep data-driven computing

June 13, 2022 - June 17, 2022 at 10:00 - BCAM

Artzai Picón (Tecnalia-UPV/EHU) and Aitor Álvarez-Gila (Tecnalia-Universitat Autònoma de Barcelona)

Eusko Jaurlaritza - Gobierno Vasco ikerbasque - Basque Foundation for Science Bizkaia xede. Bizkaiko Foru Aldundia innobasque - Agencia vasca de la innovación Universidad del PaÃŒs Vasco (UPV/EHU)