Bi3200 Basics of Scientific Work

Faculty of Science
Autumn 2019
Extent and Intensity
2/0/0. 4 credit(s). Type of Completion: k (colloquium).
Teacher(s)
doc. RNDr. Miroslav Králík, Ph.D. (lecturer)
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
Wed 12:00–13:50 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
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. (20. 9. 2017) Biosocial (bio-socio-cultural) nature of anthropology
  • 2. (27. 9. 2017) Scientific method, research methods in sciences, social sciences and humanities
  • 3. (4. 10. 2017) Scientific tools, validity
  • 4. (11. 10. 2017) Information resources
  • 5. (18. 10. 2017) Referencing of resources
  • 6. (25. 10. 2017) Research data acquisition
  • 7. (1. 11. 2017) Research design
  • 8. (8. 11. 2017) Arrangement and coding of data
  • 9. (15. 11. 2017) Working on research data in the R program
  • 10. (22. 11. 2017) Work in R: object types, basis operations
  • 11. (29. 11. 2017) Basic computations in R: descriptive statistics
  • 12. (6. 12. 2017) Basic computations in R: mean differences
  • 13. (13. 12. 2017) Basic computations in R: expressing relationships
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
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 a colloquium - a practical and oral part. The practical part includes the creation and presentation of poster and a scientific presentation, in the oral part the submitted and presented work is evaluated and discussed.
Language of instruction
Czech
Further Comments
Study Materials
The course is taught annually.
The course is also listed under the following terms Autumn 2007 - for the purpose of the accreditation, Autumn 2010 - only for the accreditation, Autumn 2002, Autumn 2003, Autumn 2004, Autumn 2005, Autumn 2006, Autumn 2007, Autumn 2008, Autumn 2009, Autumn 2010, Autumn 2011, Autumn 2011 - acreditation, Autumn 2012, Autumn 2013, Autumn 2014, Autumn 2015, Autumn 2016, autumn 2017, Autumn 2018, Autumn 2020, autumn 2021, Autumn 2022, Autumn 2023, Autumn 2024.
  • Enrolment Statistics (Autumn 2019, recent)
  • Permalink: https://is.muni.cz/course/sci/autumn2019/Bi3200