BIP INFORMATION
Scientific coordinator
University of Gävle
host
University of Évora
Virtual period start
2025-10-01
in-presence period start
2025-10-27
virtual period end
2025-11-14
In-presence period end
2025-10-31
Language of teaching
English
Language level required
B2
Number ECTS
6
Study level required
Master, Doctoral, Young Researchers
Number of participants
25
Required fields of Study
Any Science or Engineering
Aditional information
Other selection criteria
DESCRIPTION
"This Blended Intensive Program (BIP) course provides a comprehensive introduction to applied machine learning (ML), bridging foundational concepts with cutting-edge, real-world applications in sustainability The course is designed for master's and PhD students from all backgrounds, the course equips learners with both theoretical understanding and hands-on skills essential for solving complex problems using ML"
CONTACT
Scientific coordinator: Sunilkumar Telagam Setti (University of Gävle)
Host: Mouhaydine Tlemcani (University of Évora)
APPLICATION DEADLINE
2025-07-18
*Participants in the BIPs will have to attend mandatory to the online part and the physical part.