Online Course Master English 5 ECTS

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 problems is an essential skill for researchers and engineers in wind energy. This course helps students to develop this skill in the wind energy context 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 the wind energy field, 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:

Explain core concepts of computational thinking and scientific programming with examples from wind energy
Write Python functions and scripts for basic wind energy applications
Utilize Python packages common to wind energy applications, 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 documents/projects for wind energy applications 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
Critically analyze code for good coding practices such as modularity, maintainability, adherence to stylistic conventions, etc.

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.

Admission to the course requires a B.Sc. or B.Eng. degree or higher and at least, two years of relevant working experience.

The relevant working experience could be – but is not necessarily restricted to – employment in:

The wind energy industry.
Oil and gas companies.
Shipping companies.
Companies performing environmental assessment.
Public agencies with responsibilities related to engineering and natural sciences.
Since the programme is taught in English, you must have proficient English skills.

Recommended prerequisites
In addition to the admission requirements above, we strongly recommend that you have mathematics and programming skills equivalent to B.Sc. or B.Eng. level or higher.

If you have few or no programming experiences, we recommend following our Scientific Programming for Wind Energy course as early as possible.

Technical requirements
You will need a PC with a stable internet connection to follow this online course.

Course platform
All master courses run on the web based course platform DTU Learn. Once you access the platform, all the courses you are signed up for, become available for you – after the semester start day.

The course is divided in 13 modules, one per week in the semester. Each module includes a combination of video lectures, exercises, quizzes and/or reading material depending on the module. This course material is available any time to allow for flexible studying conditions.

Furthermore, you are offered weekly live Q&A sessions to get in dialogue with the course lecturer and fellow participants.

Exam

This course is concluded with an online conducted exam.

Please contact our Master of Wind Energy staff if you wish to know more about the type of assessment.

You can follow the course as a single course or as part of the programme Master in Wind Energy.

Single course

If you wish to follow this course as a single course, please add the course to the basket and fill in the required information.

Part of the Online Master of Wind Energy

You can study this course as part of the Master in Wind Energy. If you wish to follow the course as part of the full Master’s programme, please go the the site for the Online Master in Wind Energy, click the sign up button, and follow the instructions.

Prices

	Price
Courses of 5 ECTS points	15,000 DKK
Final Project of 15 ECTS points	38,000 DKK
Full Master’s programme	173,000 DKK

The state subsidy for part-time education is determined in the Finance Act for one year at a time. DTU reserves the right to make any adjustments to the participant payment.

When registering for courses or modules your payment should preferably be made by credit card at our website.

You can also choose invoice payment with a payment term of 30 days. Be aware that invoices will be issued in DKK. Payment transfer in EUR is possible if more convenient to you. However, remember to include the invoice number in the transfer information.

You can only participate in the class once the payment of tuition fee has been registered. We reserve the right to deregister the participant in the event of non-payment. Courses may be cancelled due to insufficient enrolments, for example. In case of cancellation of a purchased course or module, the tuition fee is refunded.

N.B: You will not be charged until your application has been read through and approved.

Apply for one or more course(s) in the Master of Wind Energy programme by adding the course(s) to the cart here and uploading your documents at the “check-out” stage. You will not be charged until your application has been read through and approved.

How to apply

If you wish to apply for admission to the Master of Wind Energy programme or individual courses, please attach the following documents. Note that applications MUST include all the below documents.

Diploma(s) for prior education. The diplomas should be certified diploma(s) in English.
CV. Clearly state where you have worked, in what period, and what relevant assignments you have carried out.
Copy of passport
Transcript of grades: an overview of your grades from your prior education in English.
Letter of motivation. Max. 1 page. Your letter is a part of the application and will count towards the total assessment of your application.

When we have received your application, we will carry out a screening for both the formal and academic admission requirements.

You will be notified about the outcome by email as fast as possible.

Application deadlines

Deadline for Autumn semester is June 1st.

Deadline for Spring semester is December 10th.

If you missed the application deadline, we still advise you to apply because remaining places are granted on a first come first serve basis