LLL - DTU
1-4 Weeks
Lifelong Learning Modules
This five-day intensive course covers essential data science topics tailored for the wind energy sector. It combines theoretical lectures, hands-on exercises, and a capstone project to provide participants with practical skills directly applicable to their work. Key areas include research data management, data visualization, machine learning, and AI applications specific to wind energy problems using Python programming. The course features guest speakers from industry and academia, offering insights into current trends and challenges in the field. Participants will learn to handle data, perform statistical analysis, implement machine learning algorithms, and apply these skills to decision-making processes in wind energy context.
To equip engineering professionals, data scientists, and researchers in the wind energy sector with advanced digital skills for data analysis and management, enabling them to address current industry challenges and drive innovation.
Data analysis, Machine learning, Statistical methods, Data visualization, Research data management, AI applications in wind energy
Contact details: Tuhfe Göçmen, Course Responsible, tuhf@dtu.dk
Date:
November 2025
Period:
Expected duration:
1-4 Weeks
Format:
Hybrid
Level:
Advanced
Language of instruction:
English
Requirements:
Basic Python programming skills
Teaching and assessment methods:
Lectures, hands-on exercises, guest speaker sessions, group projects, capstone project presentation
Registration Price:
To be confirmed
Registration deadline:
To be confirmed
Tuhfe Göçmen, Nikolay Dimitrov, Pierre Elouan Réthoré, Ju Feng, Matti Koivisto, Neil Davis, and guest speakers from industry and academia