FI:PV270 Biocomputing - Course Information
PV270 BiocomputingFaculty of Informatics
- Extent and Intensity
- 2/0/0. 2 credit(s) (plus extra credits for completion). Recommended Type of Completion: zk (examination). Other types of completion: k (colloquium).
- doc. RNDr. David Šafránek, Ph.D. (lecturer)
- Guaranteed by
- doc. 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
- Mon 17. 2. to Fri 15. 5. Tue 12:00–13:50 C511
- 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 37 fields of study the course is directly associated with, display
- Course objectives
- The course presents an overview of natural computing, with an emphasis on biomolecular (DNA) computing, cellular computing and molecular programming.
- Learning outcomes
- After following the course, student will be able to:
- to understand basic notions of biocomputing;
- to identify fundamental bio-operations performed on the biological matter;
- to associate suitable formalisms with a concrete computation platform.
- Introduction to Biocomputing
- Notions of Molecular Biology and Biotechnology
- Bio-inspired systems
- Physical Mapping
- Encoding information in DNA
- DNA models of computation, DNA nanocomputation by self-assembly
- Cellular computing
- Membrane computing
- Molecular programming
- AMOS, Martyn. Theoretical and experimental DNA computation. 1st ed. New York, NY: Springer, 2005. xiii, 172. ISBN 3-540-65773-8. info
- Cellular computing. Edited by Martyn Amos. New York: Oxford University Press, 2004. xii, 226 p. ISBN 0195155408. info
- CALUDE, Cristian. Computing with cells and atoms : an introduction to quantum, DNA and membrane computing. Edited by Gheorghe Paun. London: Taylor & Francis, 2001. x, 309. ISBN 0748408991. info
- ROZENBERG, Grzegorz, Arto SALOMAA and Gheorghe PAUN. DNA computing : new computing paradigms. Berlin: Springer, 1998. ix, 402. ISBN 3540641963. info
- Teaching methods
- lectures, readings
- Assessment methods
- inal 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
- Further Comments
- Study Materials
The course is taught annually.
- Enrolment Statistics (recent)
- Permalink: https://is.muni.cz/course/fi/spring2020/PV270