Bi1041 Introduction to Computational Biology and Biomedicine I

Faculty of Science
autumn 2021
Extent and Intensity
1/0/0. 1 credit(s). Type of Completion: z (credit).
Taught in person.
Teacher(s)
prof. Ing. Jiří Holčík, CSc. (lecturer)
RNDr. Tomáš Pavlík, Ph.D. (lecturer)
Mgr. Eva Budinská, Ph.D. (lecturer)
prof. RNDr. Ladislav Dušek, Ph.D. (lecturer)
Guaranteed by
RNDr. Tomáš Pavlík, Ph.D.
RECETOX - Faculty of Science
Contact Person: RNDr. Tomáš Pavlík, Ph.D.
Supplier department: RECETOX - Faculty of Science
Timetable
Mon 9:00–10:50 F01B1/709
Prerequisites
none, it is a basic course
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
Introduction to subject of Computational biology and biomedicine, generally as well as focusing on the Epidemiology and modeling specialization. Introduction to selected topics, based both on the fundamentals of their theory and on giving an explanation of some historical events and consequences.
Learning outcomes
At the end of the course, students should be able to:
- understand the structure of the study programme in the whole, particular courses and their continuities;
- know important milestones in history of mathematical applications in biology and medicine;
- understand basic approaches used for biological and clinical data analysis and modelling;
- understand objectives and scientific background of the Epidemiology and modeling specialization;
- write an essey about their reasons to study the chosen study programme, about their ideas of study contents and about realizing their potentials after graduating.
Syllabus
  • 1. Introduction to the Institute of Biostatistics and Analyses and to study plans of the study branch.
  • 2. Mathematics, biology, computational biology, biomedicine.
  • 3. Story of J.G.Mendel. Experiment arrangement, hypothesis, evaluation of results, biostatistics.
  • 4. Mathematical models for demography. Malthus, Euler, Quetelet, Lotka - Voltera.
  • 5. Epidemiological models. Survival analysis.
  • 6. Models of pharmacokinetics.
Literature
  • DUŠEK, Ladislav, Jiří HŘEBÍČEK, Jiří JARKOVSKÝ and Jan ŽIŽKA. Computational biology and its contribution to the education at Faculty of Science and Faculty of Medicine of Masaryk University in Brno, Czech Republic. In Proceedings of the 1st International Summer School on Computational Biology. první. Brno: MU Brno, 2005. p. 1-9. ISBN 80-210-3907-8. info
  • DUŠEK, Ladislav, Jiří HŘEBÍČEK and Jiří JARKOVSKÝ. Proceedings of 1st International Summer School on Computational Biology. Brno: Masaryk University Press, 2005. 200 pp. Proceedings of 1st International Summer School. ISBN 80-210-3907-8. info
  • DUŠEK, Ladislav, Jiří HŘEBÍČEK and Jan ŽIŽKA. 2nd International Summer School on Computational Biology. 2006. info
  • DUŠEK, Ladislav, Danka NÉMETHOVÁ and Jiří HŘEBÍČEK. Proceedings of the 3rd International Summer School on Computational Biology. 1st ed. Brno: Masaryk University, 2007. p. 1-206. ISBN 978-80-210-4370-1. info
Teaching methods
Presentations with discussion.
Assessment methods
essay on given topic related to the content of the study
Language of instruction
Czech
Further Comments
Study Materials
The course is taught annually.
Listed among pre-requisites of other courses
The course is also listed under the following terms Autumn 2014, Autumn 2015, Autumn 2016, autumn 2017, Autumn 2018, Autumn 2019, Autumn 2020.
  • Enrolment Statistics (recent)
  • Permalink: https://is.muni.cz/course/sci/autumn2021/Bi1041