Introduction to AI in bioinformatics
Course Start: January 18, 2027
(BI763A) This course provides a introduction into the evolution and use of AI in biology, with a focus on machine learning techniques. Students will explore both supervised and unsupervised approaches, particularly deep learning, and learn when and how to apply them in biological contexts. Through hands-on programming, students will implement and evaluate AI models, while also developing critical skills for structuring and preparing data-driven analyses in life sciences.
Info
- Type: University Course
- Organization: University of Skövde
- Start Date: January 18, 2027
- Language: English
- Place: Skövde, Campus, Dagtid
- Speed: 50%
Photo: Rebecka Thor, Högskolan i Skövde
Objectives
After completion of the course, the student shall be able to:
- describe the historical and current developments in the field of AI, with emphasis on machine
learning applied to biological data, - in an in-depth manner explain and motivate when and how to use supervised and unsupervised
learning in biological settings, - in an in-depth manner explain how machine learning, with focus on deep learning, are designed
and used for supervised and unsupervised learning, - use programming platforms and libraries to implement and evaluate AI models in biological data
settings, - critically evaluate strategies to prepare and structure a machine learning analysis.
Course type: University level, Advanced
Course duration: 7.5 ECTS