Can large language models teach me computational biology?

We are pleased to inform you about the practical course “Can large language models teach me computational biology?” led by Dr. Filippo Beleggia within the MSSO ABCD curriculum. 

Based on the feedback from last year, we will once again be offering two modules. The preparatory module LLM-C-01 will teach the very basics of programming before moving on to the actual LLM-taught analysis of biological data in LLM-C-02.  

LLM-C-01: “Can large language models teach me to code?”
In this preparatory module, we will explore how to learn coding with Python from large language models (LLMs). We will ask Gemini and ChatGPT directions on how to set up Conda environments to install software, and how to use Python to perform very basic data analysis and visualization. The only prerequisite is access to Gemini and ChatGPT. 

Wednesday, 11.11.26: 10 - 12 am
Friday, 13.11.26: 10 - 12 am

LLM-C-02: “Can large language models teach me computational biology?”
In this course, we will ask the LLMs to teach us how to perform common data analysis tasks in the field of cancer computational biology. We will cover simple examples of scRNAseq analysis, genomics and the integration of OMICS data. Prerequisites for this course are access to Gemini and ChatGPT and knowledge of Python and Conda, for example gained through LLM-C-01.

Wednesday, 18.11.26: 10 - 12 am
Friday, 20.11.26: 10 - 12 am
Thursday, 26.11.26:10 - 12 am

The course will take place in the course room 3 at the ITCC Cologne (Building 133; Weyertal 121; 50931 Cologne).

The possible number of participants is limited due to the computer workstations, which is why we proceed on a first come, first served basis.

 Please register by 04.11.2026 using the following link (please note: it is also possible to register for just one of the two modules).

 We are looking forward to numerous registrations.