The SICSS course "Artificial Intelligence in Science" is designed for young scientists who want to get an idea how AI can affect their daily work and make them more productive.
Through interactive lectures, hands-on exercises, and case studies, this course bridges the gap between AI technology and scientific practice, empowering researchers with the knowledge and skills needed to leverage AI for data analysis, modeling, and innovation.
Topics:
- Understanding AI and how it works - a short intro into the technicalities
- Getting hands-on experience with various AI tools, e.g., ChatGPT, Perplexity, NotebookLM, etc.
- Using AI to get work done: Exploring how AI can help you in your daily life as a researcher
- Ethics and Responsible AI Use: challenges related to bias, reproducibility, and ethical considerations in AI-driven research
- Practical Applications: Hands-on exercises in using AI to automate tasks like literature review or other returning tasks
This course is designed for researchers and graduate students from all disciplines who want to incorporate AI into their scientific work. No prior AI experience is required, a laptop is highly useful to try out various tools.
CPs: 0.5
Please keep in mind that your registration is binding since the number of seats is limited.
