Course Description

Artificial intelligence (AI) is transforming the way scientific research is conducted. From supporting data analysis and automating routine tasks to assisting with scientific writing and data visualization, AI offers powerful new opportunities while also raising important questions about accuracy, transparency, ethics, and responsible use.

This hands-on course provides participants with a practical introduction to the effective use of AI tools in research. Through interactive demonstrations, real-world examples, and guided exercises, participants will learn how to integrate AI into their research workflow, critically evaluate AI-generated outputs, and understand both the potential and the limitations of current AI technologies. The course also addresses ethical considerations, best practices, and the responsible use of AI in accordance with the principles of scientific integrity.

Topics

Introduction to artificial intelligence: concepts, capabilities, and limitations
AI applications in scientific data analysis and pattern recognition
Automating routine research tasks with AI
AI-assisted scientific writing, literature review, and image generation
Practical exercises: testing, evaluating, and comparing AI tools
Ethical considerations, data privacy, and scientific integrity
Best practices for integrating AI into the research process

Course Dates

12 November 2026
Room 108
10:00–17:00

13 November 2026
Room 106
09:00–17:00