E1020 Soft-skills I - Computer Literacy

Faculty of Science
Autumn 2022
Extent and Intensity
0/1/0. 1 credit(s) (plus extra credits for completion). Type of Completion: z (credit).
Taught in person.
Mgr. Peter Šebej, Ph.D. (lecturer)
Mgr. Jakub Urík, Ph.D. (lecturer)
Akrem Jbebli (seminar tutor)
Daria Sapunova (seminar tutor)
Guaranteed by
prof. RNDr. Jakub Hofman, Ph.D.
RECETOX - Faculty of Science
Contact Person: Mgr. Peter Šebej, Ph.D.
Supplier department: RECETOX - Faculty of Science
Timetable of Seminar Groups
E1020/01: Mon 16:00–16:50 D29/347-RCX2, P. Šebej, J. Urík
E1020/02: Mon 17:00–17:50 D29/347-RCX2, P. Šebej, J. Urík
E1020/03: Tue 15:00–15:50 D29/347-RCX2, P. Šebej, J. Urík
High school graduation.
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 of this course is to learn to express basic scientific thoughts and processes using MS Office and selected software for data visualisation, on the level allowing study of natural sciences at the undergraduate level. The emphasis will be put on preparation for the future laboratory/practical courses, including simple data processing, their graphical presentation and preparation of the protocol and similar technical documents.
Learning outcomes
Upon course completion students will be able to:
- Use the tools from MS Office to prepare technical documentation.
- Work with simple, mainly quantitative, scientific data.
- Describe observation.
- Choose suitable software and properly visualise scientific data.
- Express basic scientific thoughts and processes in a protocol and an essay.
  • 1. Introduction, connecting to university, available software licences. Essay, scientific essay.
  • 2. Laboratory diary. Keeping track of laboratory work.
  • 3. Protocol. Preparation of tentative protocol.
  • 4. Text formatting using MS Word.
  • 5. Text structure, style. Logic and coherence.
  • 6. Data. Measurement, accuracy, errors, sifnigicant figures. Excel (tables).
  • 7. Analysis of common mistakes in students' texts.
  • 8. Data visualisation. Basic characteristics of graphs and figures.
  • 9. Making graphs and figures in MS Excel.
  • 10. Making graphs and figures in QtiPlot.
  • 11. Making graphs and figures in Origin.
  • 11. Basic characteristics and practical work with Geographic information system (GIS).
  • 12. Graphic tools for chemistry and biology (ChemSketch, BioRender).
  • Žitniak, Ján. Microsoft Office 2016 Podrobná uživatelská příručka. Computer Press, 2017. 528 s. ISBN:978-80-251-4891-4
  • JANŮ, Stanislav. Bible MS Office 2013 a 365. Brno: Zoner Press, 2013. 287 s. ISBN 9788074132681. info
  • SYNEK, Miloslav, Pavel MIKAN and Hana VÁVROVÁ. Jak psát bakalářské, diplomové, doktorské a jiné písemné práce. 3., přeprac. vyd. Praha: Oeconomica, 2011. 61, [8]. ISBN 9788024518190. info
Teaching methods
lectures, computer class, class discussion, seminar
Assessment methods
Credit is given for preparation of a protocol based on assigned example lab. coursework (includes description of experiment and corresponding dataset) and for attendance at seminars (not more than 2 absented hours).
Language of instruction
Follow-Up Courses
Further Comments
Study Materials
The course is taught annually.
The course is also listed under the following terms Autumn 2018, Autumn 2019, Autumn 2020, autumn 2021.
  • Enrolment Statistics (recent)
  • Permalink: https://is.muni.cz/course/sci/autumn2022/E1020