PA052 Introduction to Systems Biology

Faculty of Informatics
Spring 2021
Extent and Intensity
2/0. 2 credit(s) (plus extra credits for completion). Recommended Type of Completion: zk (examination). Other types of completion: k (colloquium).
prof. RNDr. Luboš Brim, CSc. (lecturer)
doc. RNDr. David Šafránek, Ph.D. (lecturer)
RNDr. Matej Troják (assistant)
Guaranteed by
prof. RNDr. Luboš Brim, CSc.
Department of Machine Learning and Data Processing - Faculty of Informatics
Supplier department: Department of Machine Learning and Data Processing - Faculty of Informatics
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
Course objectives
Graguate of this course shall be able to: understand the basic concepts of systems biology; understand the role of computer-science in systems biology; employ abstract computer-scientific thinking in the field of biological systems modeling.
Learning outcomes
After the course the student will be able:
- to analyse and discuss pros and cons of computational methods in systems biology;
- to interpret the paradigm of systems biology;
- to identify basic tasks employed in systems biology;
- to judge ideas and opinions in front of students and the teacher.
  • History and scope of systems biology.
  • Elementary biological notions.
  • Elementary notions of systemic paradigm - biological process studied in terms of a complex system.
  • Model organisms.
  • Sources of biological data - Databases of biological knowledge.
  • Research scenario in systems biology, role of computer science.
  • Models in systems biology, model databases.
  • Examples of systems biology application.
  • Design and reconstruction of biological networks - Synthetic Biology.
  • Information in biology and about biology.
    recommended literature
  • ALON, Uri. An Introduction to Systems Biology: Design Principles of Biological Circuits. : Chapman & Hall/Crc, 2006. info
Teaching methods
lectures, readings, quizes
Assessment methods
Final exam is written. In the case homeworks are assigned, these are counted by maximum of 30% to the final mark. No study materials are allowed during the final examination.
Language of instruction
Follow-Up Courses
Further Comments
The course is taught annually.
The course is taught: every week.
Teacher's information
The course is also listed under the following terms Autumn 2010, Autumn 2011, Spring 2013, Spring 2014, Spring 2015, Spring 2016, Spring 2017, Spring 2018, Spring 2019, Spring 2020.
  • Enrolment Statistics (Spring 2021, recent)
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