- Inter-faculty Studies in Bioinformatics and Systems Biology
- Bachelor's degree, first cycle programme, Computer Science
- Bachelor's degree, first cycle programme, Mathematics
- Master's degree, second cycle programme, Bioinformatics and Systems Biology
- Master's degree, second cycle programme, Computer Science
- Master's degree, second cycle programme, Mathematics
Data Science 2600-DS-OG
Discussion of the purpose / subject of the studied phenomenon, a set of tools (procedures, software and hardware) and the basics of knowledge for using Big Data refining. It enables the construction of a past, current and predicted picture of the phenomenon under study.
The course is divided into modules covering specific aspects of Data Science. Every term will be explained based examples and/or case studies.
Type of course
Mode
Prerequisites (description)
Learning outcomes
Upon the completion of the course, a student can:
• Select tools for the practical implementation of information refining
• Identify information sources and collect information
• Recognize text entries available in a non-text format
• Harness potential of AI for data refining
• Create a model of the examined process
Assessment criteria
Several tasks with team discussions and assignments
Bibliography
All materials will be provided to the students during the course in traditional and electronic form.
Additional information
Information on level of this course, year of study and semester when the course unit is delivered, types and amount of class hours - can be found in course structure diagrams of apropriate study programmes. This course is related to the following study programmes:
- Inter-faculty Studies in Bioinformatics and Systems Biology
- Bachelor's degree, first cycle programme, Computer Science
- Bachelor's degree, first cycle programme, Mathematics
- Master's degree, second cycle programme, Bioinformatics and Systems Biology
- Master's degree, second cycle programme, Computer Science
- Master's degree, second cycle programme, Mathematics
Additional information (registration calendar, class conductors, localization and schedules of classes), might be available in the USOSweb system: