Universität Wien FIND

300322 VU Biological Data: introduction to statistics and SPSS (2016W)

9.00 ECTS (6.00 SWS), SPL 30 - Biologie
Continuous assessment of course work

Equivalent to 300020 UE Applied Statistics for Anthropologists

Details

max. 28 participants
Language: German

Lecturers

Classes (iCal) - next class is marked with N

There will be a theoretical and a practical part of the course. Each will be given weekly. The practical part will be on Mondays from 15:30 until 17:45, the theoretical part will be on Fridays 3 p.m. to 6 p.m. The first meeting will be on October 3rd at 3:30 p.m. It is possible to take the course 300006 VU Statistical analysis in practice: from raw data to presentation in the same term.

Monday 03.10. 15:30 - 17:45 EDV-Raum 2 Ökologie Biozentrum Z1.023 EG
Monday 10.10. 15:30 - 17:45 EDV-Raum 2 Ökologie Biozentrum Z1.023 EG
Monday 17.10. 15:30 - 17:45 EDV-Raum 2 Ökologie Biozentrum Z1.023 EG
Monday 24.10. 15:30 - 17:45 EDV-Raum 2 Ökologie Biozentrum Z1.023 EG
Monday 31.10. 15:30 - 17:45 EDV-Raum 2 Ökologie Biozentrum Z1.023 EG
Monday 07.11. 15:30 - 17:45 EDV-Raum 2 Ökologie Biozentrum Z1.023 EG
Monday 14.11. 15:30 - 17:45 EDV-Raum 2 Ökologie Biozentrum Z1.023 EG
Monday 21.11. 15:30 - 17:45 EDV-Raum 2 Ökologie Biozentrum Z1.023 EG
Monday 28.11. 15:30 - 17:45 EDV-Raum 2 Ökologie Biozentrum Z1.023 EG
Monday 05.12. 15:30 - 17:45 EDV-Raum 2 Ökologie Biozentrum Z1.023 EG
Monday 12.12. 15:30 - 17:45 EDV-Raum 2 Ökologie Biozentrum Z1.023 EG
Monday 09.01. 15:30 - 17:45 EDV-Raum 2 Ökologie Biozentrum Z1.023 EG
Monday 16.01. 15:30 - 17:45 EDV-Raum 2 Ökologie Biozentrum Z1.023 EG
Monday 23.01. 15:30 - 17:45 EDV-Raum 2 Ökologie Biozentrum Z1.023 EG
Monday 30.01. 15:30 - 17:45 EDV-Raum 2 Ökologie Biozentrum Z1.023 EG

Information

Aims, contents and method of the course

Commonly used statistical techniques with regard to the bachelor- (or master-)thesis shall be understood theoretically and practically, as well as being applied autonomously at the end of the course.

There will be one special topic for each lecture.
Among others, the following topics will be included.
-- Use and abuse of statistics
-- Handling of the data: designing a data file, quality assurance
-- Descriptive statistics
-- When to use which significance test?
-- Prerequisites, application and interpretation of commonly used significance tests
-- Tables and figures (what, how, when, where)
-- Verbal description of the computed results
-- Acquiring statistics autonomously (with instructions)

Assessment and permitted materials

Attendance, oral presentation, active participation and homework (open book), final papers (theoretical part: open book, practice: decision tree)

Minimum requirements and assessment criteria

The following criteria have to be met in order to pass this course:
Regular attendance (at least 80% in both parts of the course), handing in both final papers,
at least 51 credit points. In total, 100 points can be obtained:
Theory (50 points):
Oral presentation (15 points)
Active participation and homework (15 points)
Final paper (20 points)
Practice -- SPSS (50 points):
Homework (20 points)
Final paper (30 points)

Examination topics

Each topic is introduced by the lecturers. Demonstrations on the blackboard and in the specific software will support the talk. Examples will be discussed with the students and where possible also practiced in hands-on training during the practicum. Additional literature will be provided via handouts and the elearning-platform. To study each topic in more detail, there will be small written homework to be completed within the following week. Results and questions will then be discussed in class.

Reading list

Further sources will be provided on Moodle (elearning platform).

Association in the course directory

BAN 5, B-BAN 5

Last modified: Fr 31.08.2018 08:56