Zelmina Lubovac
Senior Lecturer in BioInformatics
School of Bioscience
Current Research Topics in AI for Bioinformatics A1F
Course, Master's (2nd cycle),
7.5 credits,
BI766A
Application
Choose a course instance to see course syllabus and admission requirements.
Spring 2026, Location: Skövde, Pace of study: 50%
Application
Application is done after nomination.
Course syllabus, with reading list
When? Where? How?
Study period: 30 March 2026 - 7 June 2026
Location: Skövde, Campus, Daytime
Pace of study: 50%
Admission Requirements
Entry requirements higher education not set. The course has the following entry requirements: attended BI763A Introduction to AI in Bioinformatics A1N and attended BI764A Bioinformatics Analysis Pipelines for Large-Scale Sequence Data A1N (or equivalent knowledge).A further requirement is proof of skills in English equivalent of studies at upper secondary level in Sweden, known as the Swedish course English 6 or English level 2. This is normally demonstrated by means of an internationally recognized language test, e.g. IELTS or TOEFL or the equivalent.
Selection
Guaranteed admission.
Language
The courses are conducted in English.
How do we know what is true in a world characterized by AI, digitalization and scientific breakthroughs? This course gives you the tools to critically examine research, formulate your own questions – and contribute to the science of the future.
The course gives you a deep dive into all parts of the research process – from formulating hypotheses to analyzing results and writing scientific articles. Here you will not only learn methodology and critical thinking, but also how to find and evaluate research with a focus on AI in bioinformatics. We also discuss important ethical issues, such as gender equality, sustainability and digitalization, and look at how these affect biological research. Through article reading and seminars, you develop the ability to assess scientific texts and formulate relevant research questions. The course equips you to meet the challenges that lie ahead in AI and biology and gives you the tools to contribute to research in the field.
