PřF:E3020 Soft-skills III - Sci Thinking - Course Information
E3020 Soft-skills III - Scientific Thinking
Faculty of ScienceAutumn 2019
- 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. (seminar tutor)
Mgr. Jakub Urík, Ph.D. (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 - Prerequisites
- High-school level of general knowledge. Attention of course E2020 or similar might be helpful. General interest in the science is an advantage.
- 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 give an introduction to the concept ond metodology of scientific work. We will discuss the cornerstones of modern science: critical thinking, building of falsifiable hypotheses and their approval or disapproval. On the technical level we will work with theory of experimental work, produced data(sets), their analysis and commenting in a scientific text.
- Learning outcomes
- After successful course completion students will be able to:
Orientate in science and scientific metodology.
Suggest simples experiment, that should generate relevant and reproducible data.
Recognise common logical mistakes and fallacies and avoid them.
Write a technical report. - Syllabus
- Beginning of thesemester we will concentrate on the theory of experimental scientific work – formulation of hypothesis, experiement planninng, work with data, primitive data analysis, hypothesis (dis)approval, formulation of conclusion, etc.
- In the second part of semester we will discuss topics such as introduction to the critical thinking and scientific metodology.
- 1. What is and is not a science. Observation vs. experiment. Cumulative and self-correction ability of science.
- 2. Experimentaln scientific work – formulation of hypothesis, its verifiabiliy and falsifiability.
- 3. Experiment – planning, preparation, execution.
- 4. Experiment – data collection, data analysis and presentation
- 5. Critical data processing: reproducibility, relevancy, variability, quality.
- 6. Analysis of real data. Random and systematic error, error propagation.
- 7. Softwarove tools for graphic data reprezentation.
- 8. Preparation of materials for a manuscript: experimental part, results.
- 9. Critical thinking. Cognitive bias, limits of human mind. Subconscious bias.
- 10. Argumentation and argumentation fallacies and misconceptions.
- 11. Basics of scientific metodology.
- 12. Scientific writing: technical report, simple scientific text. Structure of texts.
- 13. Discussion and final assessment.
- Literature
- 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
- BRADBURY, Andrew. Jak úspěšně prezentovat a přesvědčit. 2. vyd. Brno: Computer Press, 2007, viii, 109. ISBN 9788025116227. info
- KOHOUT, Jaroslav. Rétorika : umění mluvit a jednat s lidmi. 4. dopl. vyd. Praha: Management Press, 2002, 169 s. ISBN 8072610724. info
- Teaching methods
- seminar and discussion of the topics, lecture, eventually practice with computers
- Assessment methods
- Credit is assigned after presenting a short essay on a topic which is coherent with the topics covered by this seminar and attending at least 75% of the seminar hours. Final credit is usually given in the last hours of the semester.
- Language of instruction
- Czech
- Follow-Up Courses
- Further Comments
- The course is taught annually.
The course is taught: every week.
- Enrolment Statistics (Autumn 2019, recent)
- Permalink: https://is.muni.cz/course/sci/autumn2019/E3020