Python for Power Engineering: AI and Data Skills

This is more than an introduction to a programming language. The course helps students understand how an engineering or mathematical problem can be translated into functioning software.

What do students learn?

They master Python syntax and work with NumPy, SciPy, pandas, Matplotlib and other tools used for calculation, data analysis and visualisation.

How is the course organised?

Students progress from basic Python principles to manipulating data, generating plots, processing results and solving applied problems.

What makes the course distinctive?

The emphasis is on practical application. Rather than simply writing code, students learn to use Python as an engineering tool for computation, data analysis and clear communication of results.

The online format allows students to progress sequentially, revisit difficult material and practise at a suitable pace.

Why will future specialists need these skills?

Python is now a key tool for working with data, digital models and AI. In power engineering, this extends from analysing equipment operating conditions to developing intelligent solutions for the sector.