Course description
To increase knowledge about Machine Learning (ML) and Artificial Intelligence (AI) applications in biological and medical research, introduce first-hand experience and skills with different frameworks.
The course requires no preliminary programming skills as well as no preliminary expertise in ML and AI. This course is given at a basic/novice level with no expertise in ML/AI and preliminary programming skills required, though experience in data analysis using RStudio/MatLab or similar analytic environment is an advantage.
Prerequisites and Selection
Prerequisite courses, or equivalent
At least 1,5 credits from a course in basic statistics.
Selection
Selection, within each category of applicants (selection category), will be based on:
1) the relevance of the course syllabus for the applicant’s individual study plan/research (according to written motivation).
2) start date of doctoral studies (priority given to earlier start date).
Course director
Iurii Petrov
Course syllabus
C1F5223
Department
Department of Microbiology, Tumor and Cell Biology
Doctoral programme
Cell Biology and Genetics (CBG)
Type of course
**Other course
Keywords
Artificial Intelligence , Machine Learning, Bioinformatics