About the Course
Do you want to gain the skills to rigorously quantify and report uncertainty in wind resource assessments for industrial applications? This course guides you through the fundamentals of uncertainty quantification (UQ) and its practical applications in wind resource assessment and site assessment, aligning with the latest IEC 61400-15 standard and the requirements of wind project financing. You will learn to classify sources of uncertainty, apply core mathematical concepts, calculate essential statistics, and effectively communicate uncertainty in professional wind assessment reports. By the end of the course, you’ll be equipped to deliver robust, transparent, and finance-ready uncertainty analyses for wind energy projects.
Mohit Sharma
Senior Vice Presiden at Marubeni Corporation
Singapore
“Solid and comprehensive overview!”
"For anyone considering a career transition, this course offers a solid and comprehensive overview of wind energy. It equips you with the essential knowledge and skills needed to smoothly transition into the wind energy field."
Sophie Yin
Renewables Engineer, Woodside Energy Australia
“Flexible learning with outstanding support!”
“What I enjoy the most about the programme is the flexibility. I have been able to access the content around other aspects of my life, which has been very valuable. Also, the lecturers have made them available to the students online to answer questions and actually provide knowledge beyond the course, which I really enjoyed.”
Fahd Outailleur
Head of Engineering at Enel Green Power
Morocco
“Europe’s leader in wind energy”
“I chose to enrol in this wind energy master's program because DTU is the leading technical university in Europe, renowned for its specialization in wind energy. The program reflects the state of the art of the sector. Before joining, I knew some of their software programmes like WAsP and the Global Wind Atlas. So I was confident about the quality of the training.”
DTU Student Testimonials
Discover what DTU students have to say about their journey, their experiences, and the skills they’ve gained.
6–8 days (spread over 2–3 weeks), hybrid, full-time (7.5 hours/day)
1. Math level of undergraduate engineering degrees (algebra and basic calculus).
2. Technical English.
3. Basic computational ability (Matlab, Python, advanced Excel, or similar) .
The course is offered online with interactive live sessions and asynchronous lectures, or in a flexible hybrid format combining both. Assessment is based on assignments and practical exercises, supplemented by a brief oral exam for final verification.
Evidence your learning with a Certificate of Achievement from the DTU on successful completion.
This course will be stackable with other LLL courses that will be developed by DTU Wind, to form certain specialisations or micro-degrees.
Key Information
We measure success through our students’ achievements. Here are some of the key performance indicators (KPIs) that show the positive impact we’ve made:
98%
Parent & Student Satisfaction
+25%
Average Grade Improvement
95%
Test Prep Success Rate
500+
Adult Learners Trained
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After this course, you can
Use uncertainty source classification for industrial wind assessments.
Employ and understand the basic mathematics behind uncertainty quantification [UQ].
Calculate relevant statistics needed for UQ in wind.
Quantify uncertainty in the assessment of wind resources and siting.
Report uncertainty for industrial wind assessments.
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