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.

Course Highlights

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MAIN GOAL

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Learning Outcomes

After completion of this course, you will be able to:

• + Carry out statistical analysis of measured wind speed time series and SCADA (supervisory control and data acquisition) system data.
• + Apply probability distributions and random variables in structural engineering problems.
• + Formulate, calibrate and systematically evaluate statistical engineering models using basic machine learning tools.
• + Apply uncertainty quantification and propagation on commonly used probabilistic models.
• + Explain the concept of engineering risk and apply simple risk-based decision analysis.
• + Extract useful insights from data using machine learning and decision modeling tools.
• + Apply structural reliability analysis methods on simple design equations.
• + Explain how information about uncertainty and probabilistic modelling techniques can be utilized in wind turbine design.
• + Independently carry out the process of real-world problem solving: identifying and describing a relevant problem, finding appropriate methods, executing, and demonstrating the viability of the solution.

Meet Your Instructor

Nikolay Dimitrov

Senior Researcher

Admissions

Recommended Requirements

• + Background knowledge in statistics and probability is recommended, similar to the content of the courses 02402 and 02406. 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

• + Lectures, exercises and project work.

Application Deadline: TBC

Fees & Funding

Tuition Fees

TBC