FI:PA052 Systems Biology - Course Information
PA052 Introduction to Systems Biology
Faculty of InformaticsSpring 2014
- Extent and Intensity
- 2/0. 2 credit(s) (plus extra credits for completion). Type of Completion: zk (examination).
- Teacher(s)
- prof. RNDr. Luboš Brim, CSc. (lecturer)
doc. RNDr. David Šafránek, Ph.D. (lecturer) - Guaranteed by
- prof. Ing. Václav Přenosil, CSc.
Department of Machine Learning and Data Processing – Faculty of Informatics
Supplier department: Department of Machine Learning and Data Processing – Faculty of Informatics - Timetable
- Fri 8:00–9:50 B410
- 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
- Applied Informatics (programme FI, N-AP)
- Information Technology Security (programme FI, N-IN)
- Bioinformatics (programme FI, N-AP)
- Information Systems (programme FI, N-IN)
- Informatics (eng.) (programme FI, D-IN4)
- Informatics (programme FI, D-IN4)
- Informatics (programme FI, N-IN)
- Parallel and Distributed Systems (programme FI, N-IN)
- Computer Graphics (programme FI, N-IN)
- Computer Networks and Communication (programme FI, N-IN)
- Computer Systems and Technologies (eng.) (programme FI, D-IN4)
- Computer Systems and Technologies (programme FI, D-IN4)
- Computer Systems (programme FI, N-IN)
- Embedded Systems (eng.) (programme FI, N-IN)
- Embedded Systems (programme FI, N-IN)
- Service Science, Management and Engineering (eng.) (programme FI, N-AP)
- Service Science, Management and Engineering (programme FI, N-AP)
- Social Informatics (programme FI, B-AP)
- Theoretical Informatics (programme FI, N-IN)
- Upper Secondary School Teacher Training in Informatics (programme FI, N-SS) (2)
- Artificial Intelligence and Natural Language Processing (programme FI, N-IN)
- Image Processing (programme FI, N-AP)
- 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.
- Syllabus
- 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.
- Literature
- recommended literature
- ALON, Uri. An Introduction to Systems Biology: Design Principles of Biological Circuits. Chapman & Hall/Crc, 2006. info
- Teaching methods
- lectures, readings
- 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
- Czech
- Follow-Up Courses
- Further Comments
- Study Materials
The course is taught annually. - Teacher's information
- http://sybila.fi.muni.cz/cz/predmety/PA052
- Enrolment Statistics (Spring 2014, recent)
- Permalink: https://is.muni.cz/course/fi/spring2014/PA052