PřF:C7879 Exp. data process - Course Information
C7879 Experimental data processing
Faculty of ScienceSpring 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
- Applied biochemistry (programme PřF, B-BIC)
- Biochemistry (programme PřF, B-BIC)
- Bioinformatics (programme PřF, B-BIC)
- 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.
- Enrolment Statistics (Spring 2022, recent)
- Permalink: https://is.muni.cz/course/sci/spring2022/C7879