C7879 Experimental data processing

Faculty of Science
Spring 2022
Extent and Intensity
1/0/0. 1 credit(s) (plus 2 credits for an exam). Type of Completion: zk (examination).
Teacher(s)
Mgr. Kateřina Dadáková, Ph.D. (lecturer)
doc. Ing. Martin Mandl, CSc. (lecturer)
Guaranteed by
doc. Ing. Martin Mandl, CSc.
Department of Biochemistry – Chemistry Section – Faculty of Science
Supplier department: Department of Biochemistry – Chemistry Section – Faculty of Science
Timetable
Tue 12:00–12:50 B11/205
Prerequisites
C4222 Basic calculations
C4222
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
The aim is the application of principal data processing and visualisation on concrete data sets.
Learning outcomes
The student will be able to remove outliers from a data set, to assess the distribution, and to perform the most suitable visualisation.
Syllabus
  • 1.Basic characteristics of experimental data, 2. General procedure of data processing, 3.-5. Processing and visualisation of data sets with binomial independent variable, 6.-8. Processing and visualisation of data sets with categorical independent variable, 9.-11. Processing and visualisation of data sets with continuous independent variable, 12. Summary
Literature
  • HOLČÍK, Jiří and Martin KOMENDA. Matematická biologie: e-learningová učebnice [online]. (Mathematical Biology: e-learning textbook [on/line]). 1st ed. Brno: Masarykova univerzita, 2015. ISBN 978-80-210-8095-9. URL info
Teaching methods
Lectures with concrete examples students can try to solve using their own computers.
Assessment methods
The grade is based on the level of practice data sets processed by the student.
Language of instruction
Czech
Further Comments
Study Materials
The course can also be completed outside the examination period.
The course is taught annually.
The course is also listed under the following terms Spring 2023, Spring 2024, Spring 2025.
  • Enrolment Statistics (Spring 2022, recent)
  • Permalink: https://is.muni.cz/course/sci/spring2022/C7879