Examination
The examination of the course consists of two parts:
- a self-reflection (1000 words in length using Word, Times New Roman, size 12, references not count towards word limit) on:
- How do omics data and AI technologies relate to your current or future research project?
- What opportunities or challenges do you see in applying data-driven or AI/ML methods to your field?
- How do omics data and AI technologies relate to your current or future research project?
- a group project on multi omics data, with oral presentation on 24th October 2025
Details on the group project
The goal is for the students to perform omics data analysis using the methodologies presented in the course.
Datasets
Two publicly available multi-omics datasets will be provided for the group project. For each dataset, each group can choose at least 2 omics and a major research question of interest.
Groups
The students will be divided into different groups, which will be communicated during the first week of the course. At least 2 groups will work on the same datasets, but might work on different omics.
Presentations
All presentations will be held on 24th October 2025, via Zoom.
The presentations will be organized in sessions: each session will center around the same dataset.
Key points:
- The group oral presentation should last approximately 30 minutes, followed by 15 minutes of discussion (with questions from all the other groups).
- In the oral presentation, present your research question, the design of your analyses, key results, and your reflections on the data analysis.
- You are expected to actively participate in the discussion of all group presentations.
- Everybody should contribute to the preparation and presentation of their group’s work.
Zoom link for Group presentations on 24th Oct, Friday 9:00-12:00:
https://liu-se.zoom.us/j/68967514906?pwd=BIR5aKf6uJ19I9iX9vZenuaQOPafoK.1