APPLICATIONS OF ARTIFICIAL INTELLIGENCE – Summer School

The “Applications of Artificial Intelligence” course is a summer school where students will discover, understand, and use the different AI techniques: logic, agents, machine learning, deep learning, and generative AI. This programme enables students to explore these AI techniques through both theoretical presentations and practical applications. An added value of this course is its multiculturalism and multidisciplinarity: it will be taught by researchers from 5 different EUNICE universities and attended by students from across Europe.

The online part of the “Applications of Artificial Intelligence” course will take place in early June 2025 via EUNICE Moodle platform. The onsite part will be held in Santander, Spain, from 23 to 27 June.

Course units:

1. Overview of Artificial Intelligence: from past to present  |  Prof. Emmanuel Adam – Université Polytechnique Hauts-de-France (France)
2. Overview of distributed Artificial Intelligence: agents  |  Prof. Emmanuel Adam – Université Polytechnique Hauts-de-France (France)
3. Agent-based model for crowd simulation  |  Prof. Mario F. Pavone – University of Catania (Italy)
4. Deep learning for meteorological and climate applications  |  Prof. José González-Abad – University of Cantabria (Spain)
5. From exact solvers to metaheuristics  |  Prof. Sara Pérez Carabaza – University of Cantabria (Spain)
6. Generative Artificial Intelligence: this is just the beginning!  |  Prof. Diego García Saiz – University of Cantabria (Spain)
7. Evolutionary design of 3D agents: applications  |  Profs. Maciej Komosinski and Agnieszka Mensfelt – Poznan University of Technology (Poland)
8. Evolutionary design of 3D agents: experiments  |  Prof. Paweł Czyżewski – Poznan University of Technology (Poland)
9. Learning through physiological signals: from sensors for data acquisition to data processing for knowledge discovery  |  Prof. Raquel Sebastiaõ – Polytechnic Institute of Viseu (Portugal)
10. Learning and unlearning with foundation and generative models in AI-driven health applications  | Prof. Concetto Spampinato – University of Catania (Italy)

Timetable:

Onsite lessons: 23-27 June, 9:30-14:00 CET

• EUNICE students
• Mainly PhD students, but Master or last year of Bachelor students may also be accepted
• Scientific background and interest in AI
• English B2

Study Level: Master, PhD

• Students from the University of Cantabria: enrol through UC Virtual Campus. Different registration deadline: 12 – 23 May.
• Other EUNICE students: contact the International Relation Office at your home university for application.

Contact your local International Relations Office to apply for Erasmus+ funding.