PřF:Bi3200 Bases of Scientific Work - Course Information
Bi3200 Basics of Scientific Work
Faculty of ScienceAutumn 2025
- Extent and Intensity
- 2/0/0. 4 credit(s). Type of Completion: k (colloquium).
In-person direct teaching - Teacher(s)
- doc. RNDr. Miroslav Králík, Ph.D. (lecturer)
Mgr. Karolína Kupková (seminar tutor) - Guaranteed by
- doc. RNDr. Miroslav Králík, Ph.D.
Department of Anthropology – Biology Section – Faculty of Science
Contact Person: doc. RNDr. Miroslav Králík, Ph.D.
Supplier department: Department of Anthropology – Biology Section – Faculty of Science - Timetable
- Tue 17:00–18:50 Bp1,01007
- 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
- Anthropology (programme PřF, B-ANT)
- Course objectives
- The aim of this course is to acquaint students with the methodology of anthropology and to provide them with first information on the meaning, objectives, methods, social context and practical activities of professional anthropology. The course covers both theoretical issues and practical advice and recommendations.
- Learning outcomes
- After completing this course the student should be able to:
- explain the biosocial nature of human species and its implications for anthropological research;
- describe procedures to ensure validity of a scientific study;
- know the sources of relevant literature and access to them;
- correctly quote sources of professional information;
- propose a suitable method of sampling and obtaining anthropological data;
- process the research data into a form applicable to statistical analysis. - Syllabus
- 1. Biosocial (bio-socio-cultural) nature of anthropology
- 2. Scientific method, research methods in sciences, social sciences and humanities
- 3. Information resources
- 4. Anthropological journals
- 5. Referencing of resources
- 6. Software for referencing
- 7. Preparation af scientific theme
- 8. Creation of scientific texts
- 9. Research data acquisition
- 10. Research design
- 11. Scientific tools, validity
- 12. The biggest mistakes of the scientific approach
- 13. Arrangement and coding of data, introduction to the program R.
- Literature
- MEŠKO, Dušan; Dušan KATUŠČÁK and Ján FINDRA. Akademická příručka. České, upr. vyd. Martin: Osveta, 2006, 481 s. ISBN 8080632197. info
- ŠESTÁK, Zdeněk. Jak psát a přednášet o vědě. Illustrated by Hana Kymrová. Vyd. 1. Praha: Academia, 1999, 204 s. ISBN 8020007555. info
- Kratochvíl, J. 2014. Jak citovat [on-line]. 1. vydání. Brno: Masarykova univerzita [staženo 1. 11. 2020]. Dostupné elektronicky
- Giudice M. D., Gangestad S. W., Kaplan H. S. 2015. Life History Theory and Evolutionary Psychology. In: D. M. Buss (Ed.). The Handbook of Evolutionary Psychology, Wiley, p. 88-114.
- Scully, C., & Lodge, H. (2005). Impact factors and their significance; overrated or misused? British Dental Journal, 198(7), 391–393.
- Autorský tým IJP. 2020. Internetová jazyková příručka [on-line]. Ústav pro jazyk český AV ČR. [staženo 1. 11. 2020]
- Song JW, Chung KC. 2010. Observational Studies: Cohort and Case-Control Studies. Plastic and reconstructive surgery 126:2234–2242.
- Falcon A. 2015. Aristotle on Causality. Stanford Encyclopedia of Philosophy. Elektronická publikace.
- Goto R, Mascie-Taylor CGN. 2007. Precision of Measurement as a Component of Human Variation. Journal of Physiological Anthropology 26:253–256.
- Chambers C. 2017. The Seven Deadly Sins of Psychology: A Manifesto for Reforming the Culture of Scientific Practice. Princeton and Oxford: Princeton University Press. ISBN 0-691-15890-8.
- Teaching methods
- Theoretical tuition in form of lectures, completed with practical presentations, working with software applications and individual student work.
- Assessment methods
- The course is concluded by an colloquium - an oral discussion of several students with the teacher.
- Language of instruction
- Czech
- Further Comments
- Study Materials
The course is taught annually.
- Enrolment Statistics (recent)
- Permalink: https://is.muni.cz/course/sci/autumn2025/Bi3200