The final project is your opportunity to bring together what you have learned across the six modules and apply it to a problem of your own choosing.
What you will do
You will define and carry out your own project on a topic that relates to the content of the course — for example, working with a real biological dataset, applying machine learning or data-analysis methods, and using AI tools and agents to support your exploration, coding, and analysis.
You are expected to:
- Choose a scientific question and a relevant dataset that connect to the course material.
- Explore the data and apply appropriate methods and models.
- Use AI tools/agents responsibly, and document how you used them.
- Report your work and (for Master’s students) present it orally.
Working arrangements
You may work individually or in a small team, following the arrangements announced during the course. Each participant is responsible for demonstrating their own understanding and contributions.
Format, deliverables, and deadlines
The detailed project format — including specific deliverables, submission instructions, evaluation criteria, and deadlines — will be announced during the course and published on this page.
Assessment
Master’s students:
- Final project report — pass/fail.
- Oral presentation (oral exam) — mandatory, graded A–F. This grade is your course grade.
PhD students and other participants:
- Final project report — pass/fail.
- Oral presentation — optional (you are welcome to present as time allows).
- The project is assessed on a pass/fail basis.
For questions about the final project, contact the course team at ddls-course@scilifelab.se.