Scientific Programming for Wind Energy – online course

Scientific Programming for Wind Energy

Interested in Python? Do you want to enhance your computational thinking and programming skills? Are you seeking a career advancement or a transition into a technical role? Then this is the right course for you!

Writing code to solve complex scientific and engineering problems is an essential skill for scientists and engineers. This course helps students to develop this skill through: mastering Python basics; learning core principles and best practices for programming; practicing usage of fundamental software development tools and techniques such as version control and architecture design; leveraging scientific computation tools commonly used in scientific Python, like numpy, matplotlib and scipy; developing, evaluating and communicating Python scripts/libraries for wind energy applications through hands-on coding projects, peer code reviews and code presentations.

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

• Critically analyze code for good coding practices such as modularity, maintainability, adherence to stylistic conventions, etc.
• Explain core concepts of computational thinking and programming;
• Write Python functions and scripts for simple wind energy applications;
• Utilize Python packages common to wind energy, such as numpy, matplotlib, scipy, etc.;
• Manipulate data stored in the most common wind energy formats, demonstrating skills such as loading from/saving to file, performing computations, and visualizing results;
• Do version control on your documents/projects with a typical Git workflow (change, add and commit);
• Write and debug code using VS Code and related extensions;
• Communicate code orally and also in writing, via diagrams, comments, commit messages, and documentation;

After this course, your company will have gained:

• An employee with computational thinking and programming skills that can accelerate the digitalization in the company.
• An employee who knows how to get start with using scientific programming for engineering applications
• More knowledge inside the company regarding scientific programming using Python and good programming/software practices

Wind energy professionals, engineers, consultants, and researchers seeking to enhance computational thinking and programming skills with Python for data analysis, modeling, optimization and automation.

NB: As this course is new, please be aware that the course content and description are subject to changes.