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Introduction to using Optimization for Engineering Design

Introduction to using Optimization for Engineering Design

Duration 5h Duration 5h

Applying numerical design optimization will help you find improved designs automatically and allow you to carry out more design studies.

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11

Introduction to using Optimization for Engineering Design

Introduction to using Optimization for Engineering Design

Duration 5h

Applying numerical design optimization will help you find improved designs automatically and allow you to carry out more design studies.

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To inspire confidence and success in every learner by providing personalized, one-on-one education that meets their unique needs and goals. We are dedicated to fostering a love of learning and unlocking potential at every stage of life.

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.”

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  • 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. 

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