Bi4012 Project of the Computational Biology - Epidemiology and Modeling

Faculty of Science
Autumn 2019
Extent and Intensity
0/3/0. 3 credit(s). Type of Completion: z (credit).
doc. Ing. Daniel Schwarz, Ph.D. (lecturer)
prof. Ing. Jiří Holčík, CSc. (lecturer)
RNDr. Martin Komenda, Ph.D. (lecturer)
Mgr. Matěj Karolyi (seminar tutor)
RNDr. Roman Vyškovský (seminar tutor)
Guaranteed by
doc. Ing. Daniel Schwarz, Ph.D.
RECETOX - Faculty of Science
Contact Person: doc. Ing. Daniel Schwarz, Ph.D.
Supplier department: RECETOX - Faculty of Science
Wed 12:00–14:50 A1/609 - IBA (A1,6.p, Kamenice 3)
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
Students in this course work in two-person or three-person groups and solve problems in data processing, analysis and modelling. In addition to solving the problem itself, the students practically learn the principles of teamwork; acquire knowledge about other areas of data analysis, than they learn in detail while working on their bachelor and master projects; develop their communication skills; are able to make justified decisions;
Learning outcomes
After completing the course, student will be able to:
- apply the CRISP-DM (Cross Industry Standard Protocol for Data Mining) methodology to data analysis and processing tasks;
- use IT tools and methods to facilitate and manage IT projects (GIT, Trello, etc.);
  • Presentation of project assignments by teachers.
  • Division of students into two-person or three-person investigator teams.
  • Continuous teamwork and consultations with the project sponsors.
  • Presentation of the project state in three phases by the investigator teams.
    recommended literature
  • Číslicová filtrace, analýza a restaurace signálů. Edited by Jiří Jan. 2. uprav. a rozš. vyd. Brno: VUTIUM, 2002. 427 s. ISBN 8021415584. info
  • DEVASAHAYAM, Suresh R. Signals and systems in biomedical engineering : signal processing and physiological systems modeling. 1st ed. New York: Kluwer Academic/Plenum Publishers, 2000. xvi, 337. ISBN 0306463911. info
Teaching methods
teamwork, presentations, consultations, discussions between the teams
Assessment methods
Two interim presentations and a final presentation of the resolved data analysis problem
Language of instruction
Further Comments
Study Materials
The course is taught annually.
The course is also listed under the following terms Autumn 2010 - only for the accreditation, Autumn 2010, Autumn 2011, Autumn 2011 - acreditation, Autumn 2012, Autumn 2013, Autumn 2014, Autumn 2015, Autumn 2016, autumn 2017, Autumn 2018, Autumn 2020.
  • Enrolment Statistics (Autumn 2019, recent)
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