PřF:E1020 Soft-skills I - PC Literacy - Course Information
E1020 Soft-skills I - Computer Literacy
Faculty of ScienceAutumn 2024
- Extent and Intensity
- 0/1/0. 1 credit(s) (plus extra credits for completion). Type of Completion: z (credit).
- Teacher(s)
- Mgr. Peter Šebej, Ph.D. (lecturer)
Mgr. Jakub Urík, Ph.D. (lecturer)
RNDr. Ondřej Mikeš, Ph.D. (seminar tutor)
Daria Sapunova (seminar tutor) - Guaranteed by
- Mgr. Peter Šebej, Ph.D.
RECETOX – Faculty of Science
Contact Person: Mgr. Peter Šebej, Ph.D.
Supplier department: RECETOX – Faculty of Science - Prerequisites
- 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
- Biomedical bioinformatics (programme PřF, B-MBB)
- Epidemiology and modeling (programme PřF, B-MBB)
- Environment and Health (programme PřF, B-ZPZ)
- 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. - Syllabus
- 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).
- Literature
- 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 writing an essay in the first half of the semester, then preparing a protocol based on a fictional laboratory experiment at the end of the semester (includes description of experiment and corresponding dataset). Attendance at seminars is also required (not more than 2 absented hours).
- Language of instruction
- Czech
- Follow-Up Courses
- Further Comments
- The course is taught annually.
The course is taught: every week.
- Enrolment Statistics (recent)
- Permalink: https://is.muni.cz/course/sci/autumn2024/E1020