FI:IV129 Sybila Laboratory - Course Information
IV129 Sybila LaboratoryFaculty of Informatics
- Extent and Intensity
- 0/0/2. 2 credit(s). Type of Completion: z (credit).
- RNDr. David Šafránek, Ph.D. (lecturer)
prof. RNDr. Luboš Brim, CSc. (lecturer)
- Guaranteed by
- RNDr. David Šafránek, Ph.D.
Department of Machine Learning and Data Processing - Faculty of Informatics
Supplier department: Department of Machine Learning and Data Processing - Faculty of Informatics
Applicants should 1) be able to work independently 2) have interest in long-term projects (several semesters) 3) have working knowledge of English 4) be able to work in a team. The enrollment must be approved by one of the laboratory researchers (L. Brim, D. Šafránek).
- 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 / plans the course is directly associated with
- there are 39 fields of study the course is directly associated with, display
- Course objectives
- On successful completion of the course students - will have practical experience with active research - should be able to read and understand scientific papers - should be able to employ gathered information to formulate and prove their own hypotheses within the relevant context - should be able to present the research results in English.
- Learning outcomes
- After the course the student will be able:
- to analyse and discuss pros and cons of computational methods in systems biology;
- to contrast conceptual errors in analysed publications by employing suitable arguments;
- to judge ideas and opinions in front of students and professionals.
- Sybila Laboratory is a team project focused on the development of methods and tools for the design and analysis of biological systems and their experimental application. Students meet regularly with senior researchers to discuss research problems related to their research topics. Students are expected to regularly present state-of-the-art results in the relevant fields at the laboratory seminar.
- Teaching methods
- team research projects
- Assessment methods
- Students are evaluated according their performance on assigned projects.
- Language of instruction
- Further Comments
- The course is taught each semester.
The course is taught: every week.
- Teacher's information