FI:PB172 SBseminar - Course Information
PB172 Systems Biology SeminarFaculty of Informatics
- Extent and Intensity
- 0/2/0. 2 credit(s) (plus extra credits for completion). Type of Completion: k (colloquium).
- RNDr. David Šafránek, Ph.D. (lecturer)
- Guaranteed by
- RNDr. David Šafránek, Ph.D.
Department of Machine Learning and Data Processing - Faculty of Informatics
Contact Person: Ing. Matej Lexa, Ph.D.
Supplier department: Department of Machine Learning and Data Processing - Faculty of Informatics
- Fri 10:00–11:50 A418
The seminar is focused on studying and presentation of selected scientific articles/book chapters in the field of computational systems biology. Students are assumed to understand elementary notions from biology and chemistry (grammar school level), to know basic principles of the systems biology paradigm, and to be interested in deeper understanding of the field. Previous successful studying of PB050 is welcome.
- Course Enrolment Limitations
- The course is also offered to the students of the fields other than those the course is directly associated with.
- Fields of study the course is directly associated with
- there are 81 fields of study the course is directly associated with, display
- Course objectives
- At the end of the course students should be able to: understand key results of computational systems biology; work with a scientific paper; extract the information from literature; prepare and give an oral presentation.
- Learning outcomes
- At the end of the course students should be able to:
- analyse a scientific paper;
- combine and infer the information from scientific literature;
- discuss pros and cons of computational methods in systems biology;
- contrast conceptual errors in analysed publications by employing suitable arguments.
- Overview of elementary notions and paradigms
- Selection of seminar topics (papers) and explanation of their significance
- Studying of the selected topics
- Presentation and discussion
- Teaching methods
- Student presentations, discussions.
- Assessment methods
- oral presentation of the selected topic
- Language of instruction
- Further Comments
- The course is taught each semester.
- Teacher's information