Bi4012 Project of the Mathematical Biology

Faculty of Science
Autumn 2013
Extent and Intensity
0/3. 3 credit(s). Type of Completion: z (credit).
Teacher(s)
doc. Ing. Daniel Schwarz, Ph.D. (lecturer)
prof. Ing. Jiří Holčík, CSc. (lecturer)
Guaranteed by
prof. RNDr. Ladislav Dušek, Ph.D.
RECETOX – Faculty of Science
Supplier department: RECETOX – Faculty of Science
Timetable
Wed 10:00–11:50 F01B1/709
Course Enrolment Limitations
The course is offered to students of any study field.
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 reasoned decisions;
Syllabus
  • 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.
Literature
    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
Czech
Further Comments
Study Materials
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 2014, Autumn 2015, Autumn 2016, autumn 2017, Autumn 2018, Autumn 2019, Autumn 2020, autumn 2021.
  • Enrolment Statistics (Autumn 2013, recent)
  • Permalink: https://is.muni.cz/course/sci/autumn2013/Bi4012