300322 VU Biological Data: introduction to statistics and SPSS (2020S)
Continuous assessment of course work
Labels
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 06.02.2020 08:00 to Th 20.02.2020 18:00
- Deregistration possible until Th 30.04.2020 18:00
Details
max. 28 participants
Language: German
Lecturers
Classes (iCal) - next class is marked with N
There is a theoretical part (Schaman) and a practical part (Windhager) of the course. Both will be taught weekly. The practical one will take place on Friday afternoons. The PREPARATORY MEETING and first part of the course will take place on Tuesday March 3 5.30 p.m. at the Computer Room Ecology (Z1.023). Those who do not attend, will be deregistered so that students from the waiting list succeed. Equivalent to 300015 UE Applied Statistics for Anthropologists.
- Tuesday 03.03. 17:30 - 20:00 Seminarraum (Kickoff Class)
- Friday 06.03. 15:30 - 18:00 EDV-Raum 2 Ökologie
- Tuesday 10.03. 17:00 - 20:00 Seminarraum
- Friday 13.03. 15:30 - 18:00 EDV-Raum 2 Ökologie
- Tuesday 17.03. 17:00 - 20:00 Seminarraum
- Friday 20.03. 15:30 - 18:00 EDV-Raum 2 Ökologie
- Tuesday 24.03. 17:00 - 20:00 Seminarraum
- Friday 27.03. 15:30 - 18:00 EDV-Raum 2 Ökologie
- Tuesday 31.03. 17:00 - 20:00 Seminarraum
- Friday 03.04. 15:30 - 18:00 EDV-Raum 2 Ökologie
- Tuesday 21.04. 17:00 - 20:00 Seminarraum
- Friday 24.04. 15:30 - 18:00 EDV-Raum 2 Ökologie
- Tuesday 28.04. 17:00 - 20:00 Seminarraum
- Tuesday 05.05. 17:00 - 20:00 Seminarraum
- Friday 08.05. 15:30 - 18:00 EDV-Raum 2 Ökologie
- Tuesday 12.05. 17:00 - 20:00 Seminarraum
- Friday 15.05. 15:30 - 18:00 EDV-Raum 2 Ökologie
- Tuesday 19.05. 17:00 - 20:00 Seminarraum
- Friday 22.05. 15:30 - 18:00 EDV-Raum 2 Ökologie
- Tuesday 26.05. 18:15 - 20:00 Seminarraum
- Friday 29.05. 15:30 - 18:00 EDV-Raum 2 Ökologie
- Friday 05.06. 15:30 - 18:00 EDV-Raum 2 Ökologie
- Tuesday 09.06. 17:00 - 20:00 Seminarraum
- Friday 12.06. 15:30 - 18:00 EDV-Raum 2 Ökologie
- Tuesday 16.06. 18:15 - 20:00 Seminarraum
- Friday 19.06. 15:30 - 18:00 EDV-Raum 2 Ökologie
- Tuesday 23.06. 17:00 - 20:00 Seminarraum
- Friday 26.06. 15:30 - 18:00 EDV-Raum 2 Ökologie
- Tuesday 30.06. 17:00 - 20:00 Seminarraum
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: open book)
If good scientific practice is violated in any assessment, you will fail to pass the course.
If good scientific practice is violated in any assessment, you will fail to pass the course.
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):
Written preparation on a statistical topic (10 points)
Active participation and homework (20 points)
Final paper (20 points)
Practice -- SPSS (50 points):
Homework (20 points)
Final paper (30 points)
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):
Written preparation on a statistical topic (10 points)
Active participation and homework (20 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
Materials will be provided via the elearning platform Moodle.
Association in the course directory
BAN 5
Last modified: Sa 22.10.2022 00:30