Crash Course on Functional Data Analysis and Machine Learning of Complex Data: Techniques and Applications


In an era of explosive growth in complex data, our course is your bridge to a deeper understanding of Functional Data Analysis (FDA) and Machine Learning (ML).

The main challenge today isn't data availability but rather our ability to interpret it. Join our growing community of professionals applying ML to tackle complex data challenges.

This crash course highlights key developments at the intersection of FDA and ML, with a focus on handling complex functional data. Moreover, as a student, you have the opportunity to earn 3 ECTS credits by submitting a report at the end of the workshop. Don't miss this chance to unlock new insights and skills in data analysis.


Karel Hron, Palacký University, Czech Republic.

Konrad Abramo wicz, Umeå University, Sweden.

Alessia  Pini, Catholic University of Sacred Heart, Italy.

Hiba Nassar, Technical University of Denmark, Danmark.


Krzysztof Podgórski, Lund University, Sweden.

Helle Sørensen, University of Copenhagen, Denmark.

Stanislav Nagy, Charles University in Prague, Czech Republic.

Matthieu Jacques Bechara Bulté, University of Copenhagen, Denmark.

Alessandra Menafoglio, Politecnico di Milano, Italy

Registration Fee: 1500 DKK
Registration Deadline: April 12, 2024
The registration fee covers all course essentials, including access to course sessions, coffee breaks, lunches at 101 Canteen during the course, and the course dinner on Thursday April 18th.

Find much more info here including program and sign up!


ons 17 apr 24 9:00 -
fre 19 apr 24 15:00


DTU Compute



DTU Meeting Centre
Anker Engelundsvej, Building 101, room S01
2800, Kgs. Lyngby