Nikolay Dimitrov
Biography of Nikolay Dimitrov
University:
DTU
Date:
August 2025
Expected Duration:
3–6 Months
Format:
Hybrid
Level:
Advanced
Language of Instruction:
English
Registration Deadline:
TBC
Price:
TBC
Course Overview
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.
Main Goal
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.
Skills To Be Gained
Formulate, calibrate and systematically evaluate statistical engineering models using basic machine learning tools.
Practical Notes
Contact Details: nkdi@dtu.dk
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
The course begins with lectures and exercises introducing the basic concepts. The lectures are supplemented with digital learning resources such as videos and Python notebooks. Oral examination and exercises: All assignments must be handed in and passed. The grade of the course is based on the oral exam, final project report and one selected exercise (overall assessment). Oral exam consists of a short presentation of final report and answering of questions.
Course Staff
Frequently Asked Questions
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