300050 UE Direct behavior observation, digitization and analysis (2021W)
Continuous assessment of course work
Labels
ON-SITE
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 Th 09.09.2021 08:00 to Th 23.09.2021 18:00
- Deregistration possible until Su 31.10.2021 18:00
Details
max. 15 participants
Language: German
Lecturers
Classes (iCal) - next class is marked with N
IN DIGITAL MODE AS OF NOVEMBER 22nd 2021
The course on January 12 will be digital only.Kick-off Oct. 10th, 11:30–13:00, ON-SITE.Attendance compulsory at the kick-off meeting: Those who do not attend without prior notice will be deregistered so that students from the waiting list succeed.
- Wednesday 06.10. 11:30 - 14:00 Seminarraum 1.4, Biologie Djerassiplatz 1, 1.013, Ebene 1
- Wednesday 20.10. 11:30 - 14:00 Seminarraum 1.4, Biologie Djerassiplatz 1, 1.013, Ebene 1
- Wednesday 03.11. 11:30 - 14:00 Seminarraum 1.2, Biologie Djerassiplatz 1, 1.004, Ebene 1
- Wednesday 17.11. 11:30 - 14:00 Seminarraum 1.8, Biologie Djerassiplatz 1, 1.007, Ebene 1
- Wednesday 01.12. 11:30 - 14:00 Seminarraum 1.8, Biologie Djerassiplatz 1, 1.007, Ebene 1
- Wednesday 12.01. 11:30 - 14:00 Seminarraum 1.8, Biologie Djerassiplatz 1, 1.007, Ebene 1
- Wednesday 26.01. 11:30 - 14:00 Seminarraum 1.8, Biologie Djerassiplatz 1, 1.007, Ebene 1
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).
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 24.01.2023 00:26