E4012 Project of the Computational Biology - Epidemiology and Modeling

Faculty of Science
Autumn 2022
Extent and Intensity
0/3/0. 3 credit(s). Type of Completion: z (credit).
Teacher(s)
doc. Ing. Daniel Schwarz, Ph.D. (lecturer)
prof. Ing. Jiří Holčík, CSc. (lecturer)
Mgr. Jakub Jamárik (seminar tutor)
Mgr. Renata Divinová (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
Timetable
Wed 12:00–14:50 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
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.);
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 taught annually.
The course is also listed under the following terms Autumn 2023, Autumn 2024.
  • Enrolment Statistics (Autumn 2022, recent)
  • Permalink: https://is.muni.cz/course/sci/autumn2022/E4012