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300005 UE Direct behavior observation, digitization and analysis (2016W)
Continuous assessment of course work
Labels
If possible, please bring your laptop.
Registration/Deregistration
Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).
- Registration is open from We 07.09.2016 08:00 to Th 22.09.2016 18:00
- Deregistration possible until Mo 31.10.2016 18:00
Details
max. 30 participants
Language: German
Lecturers
Classes (iCal) - next class is marked with N
on Tuesdays
Oct. 4, 2016 (first meeting and first day of course), Oct. 11, Oct. 18, Oct. 25, Nov. 8.
13:00-18:00, Seminar room Althanstrasse 12 (use entrance micro-CT)
- Tuesday 04.10. 13:30 - 18:00 Seminarraum (Kickoff Class)
- Tuesday 11.10. 13:00 - 18:00 Seminarraum S1 Vienna Micro-CT Lab, Althanstraße 12-14
- Tuesday 18.10. 13:00 - 18:00 Seminarraum S1 Vienna Micro-CT Lab, Althanstraße 12-14
- Tuesday 25.10. 13:00 - 18:00 Seminarraum S1 Vienna Micro-CT Lab, Althanstraße 12-14
- Tuesday 08.11. 13:00 - 18:00 Seminarraum S1 Vienna Micro-CT Lab, Althanstraße 12-14
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 of sea gulls, chimpanzees and human children together with predefined sampling and recording schemes, the students will learn to record behavior systematically via paper-and-pencil as well as with The Observer®. The latter 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 using the Observer.
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 written exams + practical final project (with a positive grade).
Regular attendance + oral (discussions, answering questions in class) + short written exams + practical final project (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
Literature will be provided via handouts and on the elearning platform Moodle.
Association in the course directory
MAN 2
Last modified: Sa 22.10.2022 00:29