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Learning material for the course "Using generative AI in writing research software"

Home Page: https://ssciwr.github.io/generative-AI-coding-course/

License: Creative Commons Zero v1.0 Universal

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Generative AI for writing (research) software

This is the course material for the course "Generative AI for writing (research) software".

Course content: Generative AI is emerging as a major creative force that supports humans in content creation. Specifically trained models can support software developers with their software projects and lead to time savings and a shift in what aspects of generating software are more important on a day-to-day basis. In this course, we will learn about GitHub Copilot, the differences to ChatGPT, and how to set up and use GitHub Copilot in coding projects. Best practices in using Copilot, as well as recommendations how to use it efficiently and safely will be introduced. The slides can be found here and we will use GitHub classroom assignments during the course.

Learning targets:

  • Know what GitHub Copilot is and what is happening under the hood
  • Use Copilot in an IDE
  • Improve Copilot's suggestions through providing appropriate context
  • Know when and when not to use Copilot
  • Know about privacy and security when using GitHub copilot

Prerequisites: Basic Python knowledge is required. Participants need a laptop/PC with Visual Studio Code installed and a working Python environment. Participants need to have access to GitHub copilot (either through free trial, individual license such as GitHub student (free), or other form of license).

How to get access to GitHub Copilot

Before the course, you need to sign up for a GitHub Copilot license. There are several options:

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