Bi3434 Processing of research data in anthropology

Faculty of Science
Autumn 2018
Extent and Intensity
0/2/0. 4 credit(s). Type of Completion: z (credit).
Teacher(s)
doc. RNDr. Miroslav Králík, Ph.D. (seminar tutor)
Mgr. Lenka Polcerová, Ph.D. (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
Mon 17. 9. to Fri 14. 12. Tue 16:00–17:50 Bp1,01007
Prerequisites
Bi7351, Bi8352
Course Enrolment Limitations
The course is only offered to the students of the study fields the course is directly associated with.

The capacity limit for the course is 35 student(s).
Current registration and enrolment status: enrolled: 1/35, only registered: 0/35
fields of study / plans the course is directly associated with
Course objectives
The course follows the previous courses Methods of anthropology I and II. The aim of the course is practical training of students in the preparation and processing of research data for various types of anthropological research. In the training software R (open source) is used.
Learning outcomes
Student will be able to:
- Design a data structure for selected anthropological research;
- Encode data for processing in the program R;
- Clean and transform raw data
- Manipulating data for various analysis and visualization purposes;
- Perform basic analytical calculations and generate secondary data (anthropological indices);
- Visualize and present data for professional outputs.
Syllabus
  • 1. R program, RStudio, Introduction to R.
  • 2. Objects in R, data structures in R, their definitions and usage in anthropology I.
  • 3. Objects in R, data structures in R, their definitions and usage in anthropology II.
  • 4. Data loading with focus on hierarchical data structures, intra-individual (side of the body, radial - ulnar, etc.), intra-population categories (sex, class, etc.), and populations; combinations and selections by factors.
  • 5. Visualization of anthropological data in R I.
  • 6. Visualization of anthropological data in R II.
  • 7. Visualization of anthropological data in R III.
  • 8. Morphometric data in 3D.
  • 9. Maps in R - spatial data from terrain and maps; visualizing points on maps and plans I.
  • 10. Maps in R - spatial data from terrain and maps; visualizing points on maps and plans II.
  • 11. Introduction to programming in R.
  • 12. Presentation and formatting of tables and graphical outputs.
  • 13. Overview of practical exercises, general review of the curriculum, final assessment.
Literature
    required literature
  • Venables WN, Smith DM, R Core Team. 2017. An Introduction to R. Notes on R: A Programming Environment for Data Analysis and Graphics Version 3.4.2 (2017-09-28).
  • KATINA, Stanislav, Miroslav KRÁLÍK and Adéla HUPKOVÁ. Aplikovaná štatistická inferencia I. Biologická antropológia očami matematickej štatistiky (Applied statistical inference I). 1. vyd. Brno: Masarykova univerzita, 2015, 320 pp. ISBN 978-80-210-7752-2. info
  • Ulijaszek SJ, Kerr DA. 1999. Anthropometric measurement error and the assessment of nutritional status. British Journal of Nutrition 82:165–177.
  • Drozd P. 2007. Cvičení z biostatistiky. Základy práce se softwarem R. Ostrava: Ostravská univerzita, Přírodovědecká fakulta.
Teaching methods
Practical exercises with computer and real empirical data. Practicing data operations under the guidance of an instructor.
Assessment methods
To obtain credit student must submit all homeworks to at least 0.75 points and elaborate 3 intermediate Exercises to at least 70%.
Language of instruction
Czech
Further comments (probably available only in Czech)
Study Materials
The course is taught annually.
Information on course enrolment limitations: Studenti 1. ročníku Bc studia antropologie
The course is also listed under the following terms spring 2018, Autumn 2019, Autumn 2020, autumn 2021, Autumn 2022, Spring 2023, Spring 2024, Spring 2025.
  • Enrolment Statistics (Autumn 2018, recent)
  • Permalink: https://is.muni.cz/course/sci/autumn2018/Bi3434