M.Sc - DTU
3–6 Months
Masters of Science Programes
The purpose of the course is to learn the basics of statistical modeling and data analysis in the context of wind engineering and structural engineering design applications. The students are provided with the opportunity to apply probabilistic methods and machine learning to different examples from wind energy.
The purpose of the course is to learn the basics of statistical modeling and data analysis in the context of wind engineering and structural engineering design applications. The students are provided with the opportunity to apply probabilistic methods and machine learning to different examples from wind energy.
Formulate, calibrate and systematically evaluate statistical engineering models using basic machine learning tools.
Contact Details: nkdi@dtu.dk
Date:
August 2025
Period:
Expected duration:
3–6 Months
Format:
Hybrid
Level:
Advanced
Language of instruction:
English
Requirements:
Background knowledge in statistics and probability is recommended, similar to the content of the courses 02402 and 02406 at DTU. It is also assumed that the students are already familiar with basic wind energy topics as the ones taught in course 46300, and are able to use the Python programming language. Based on these requirements, it is recommended that the course is taken during the second year of M.Sc. studies.
Teaching and assessment methods:
Registration Price:
To be updated
Registration deadline:
To be updated
Nikolay Dimitrov