PřF:Bi4012 Project - Course Information
Bi4012 Project of the Computational Biology - Epidemiology and ModelingFaculty of Science
- 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
- Epidemiology and modeling (programme PřF, N-MBB)
- 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.