E4014 Project of the Computational Biology - Biomedical Bioinformatics

Faculty of Science
Autumn 2023
Extent and Intensity
0/3/0. 3 credit(s) (plus extra credits for completion). Type of Completion: z (credit).
Teacher(s)
Mgr. Eva Budinská, Ph.D. (lecturer)
doc. Ing. Matej Lexa, Ph.D. (lecturer)
doc. Mgr. Natália Martínková, Ph.D. (lecturer)
Ing. Vojtěch Bartoň (seminar tutor)
Mgr. Jan Böhm (seminar tutor)
Guaranteed by
Mgr. Eva Budinská, Ph.D.
RECETOX – Faculty of Science
Contact Person: Mgr. Eva Budinská, Ph.D.
Supplier department: RECETOX – Faculty of Science
Timetable
Mon 10:00–12:50 D29/347-RCX2
Prerequisites
None, it is a basic course.
Course Enrolment Limitations
The course is only offered to the students of the study fields 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 to four-person groups and solve problems in experimental data processing, analysis and modelling. In addition to solving the problem itself, the students practically learn the principles of teamwork.
Learning outcomes
After completing the course, student will be able to:
- review the scientific area related to the assigned task;
- use selected tools and methods to solve the assigned task;
- present the level of completion of the assigned task;
- cooperate in teams.
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
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 2022, Autumn 2024.
  • Enrolment Statistics (Autumn 2023, recent)
  • Permalink: https://is.muni.cz/course/sci/autumn2023/E4014