Course Overview

Writing code to solve complex scientific and engineering problems has become an essential skill for scientists and engineers. This course helps students to develop this skill through: learning core principles and best practices for programming; practicing usage of fundamental software development tools and techniques such as version control, packaging and architecture design; leveraging scientific computation tools commonly used in scientific Python, like numpy, matplotlib and scipy; developing, evaluating and communicating Python libraries for wind-energy applications through hands-on group projects, peer code reviews and code presentations. Through this course, a student’s material, cognitive, and social computational literacy will be largely improved, together with the ability to formulate computational problems in wind energy and solve them with programming.

Course Highlights

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MAIN GOAL

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Learning Outcomes

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

• + Utilize Python packages common to wind energy, such as numpy, matplotlib, scipy, PyWake, TOPFARM, xarray, pandas, 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.
• + Design and publish a Python package for a wind-energy application with tests and documentation.
• + Collaborate with a team on a code base hosted on GitLab, demonstrating basic git skills such as adding, committing, pushing, and branching.
• + Develop, debug, and lint 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.
• + Write tests for scientific code.
• + Execute code on a computing cluster.

Meet Your InstructorS

Jenni Rinker

Associate Professor

Ju Feng

Senior Researcher

Admissions

Entry Requirements

• + B.Sc. or B.Eng. degree or higher and at least, two years of relevant working experience.
• + Proficient English skills.
• + You will need a PC with a stable internet connection to follow this online course.

Recommended Requirements

• + We strongly recommend that you have mathematics and programming skills equivalent to B.Sc. or B.Eng. level or higher.

Teaching and Assessment Methods

• + The individual final grade is determined as a cumulative evaluation of the person’s contributions to the final programming project, handed in via a GitLab repository, and an individual written quiz.
• + Lectures and group work on assignments (3-4 students per group).

Application Deadline: TBC

Fees & Funding

Tuition Fees

TBC