Universität Wien FIND

Due to the COVID-19 pandemic, changes to courses and exams may be necessary at short notice (e.g. cancellation of on-site teaching and conversion to online exams). Register for courses/exams via u:space, find out about the current status on u:find and on the moodle learning platform.

Further information about on-site teaching can be found at https://studieren.univie.ac.at/en/info.

300041 UE Direct behavior observation, digitization and analysis (2020W)

3.00 ECTS (2.00 SWS), SPL 30 - Biologie
Continuous assessment of course work

Registration/Deregistration

Details

max. 15 participants
Language: German

Lecturers

Classes (iCal) - next class is marked with N

On Wednesdays, 11:00 am to 2:00 pm, every second week.

Switched to the DIGITAL MODE until further notice! The virtual seminar room can be accessed via Moodle.

Wednesday 07.10. 11:00 - 14:00 Seminarraum Anthropologie, UZA 1, Biozentrum Althanstraße 14 2.001 1.OG
Wednesday 21.10. 11:00 - 14:00 Seminarraum Anthropologie, UZA 1, Biozentrum Althanstraße 14 2.001 1.OG
Wednesday 04.11. 11:00 - 14:00 Seminarraum Anthropologie, UZA 1, Biozentrum Althanstraße 14 2.001 1.OG
Wednesday 18.11. 11:00 - 14:00 Seminarraum Anthropologie, UZA 1, Biozentrum Althanstraße 14 2.001 1.OG
Wednesday 16.12. 11:00 - 14:00 Seminarraum Anthropologie, UZA 1, Biozentrum Althanstraße 14 2.001 1.OG
Wednesday 20.01. 11:00 - 14:00 Seminarraum Anthropologie, UZA 1, Biozentrum Althanstraße 14 2.001 1.OG

Information

Aims, contents and method of the course

The course gives an introduction into the fundamentals of behavioral observation and its statistical analysis as an interactive training course. The topics include observation and categorization, time-structured data collection techniques, empirical and statistical behavior analysis. Using film material together with predefined sampling and recording schemes as well as class work in the field, the students will learn to record behavior systematically via paper-and-pencil as well as digitally. The Observer is professional software for collection, analysis, presentation and management of observational data. This way, an understanding of the basic sampling and recording rules will be built up. The aim is to teach the skills to choose among the basic sampling and recording rules as well as analyses the best fitting ones for a given research question and to design one's own configuration for data collection and analyses.

Assessment and permitted materials

The following criteria have to be met in order to pass this course:
Regular attendance + oral (discussions, answering questions in class) + short exams and homework + practical final project and its presentation (with a positive grade).

Minimum requirements and assessment criteria

In order to pass the course, it is necessary to have to have a final project with a grade 4 (Genügend) or better.

Examination topics

Short lectures, demonstrations, practical exercises, video training, and small individual tasks.

Reading list

Further material will be provided via handouts and the learning platform Moodle.

Association in the course directory

MAN 2

Last modified: Tu 27.10.2020 21:30