Warning! The directory is not yet complete and will be amended until the beginning of the term.
300322 VU Biological Data: introduction to statistics and SPSS (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. 28 participants
Language: German
Lecturers
Classes (iCal) - next class is marked with N
The KICK-OFF MEETING will be held remotely VIA ZOOM (see Moodle for details). If you are not registered and would like to attend the kick-off meeting, please send an email to sonja.windhager@univie.ac.at.
Due to the pandemic, a switch to the digital mode can be undertaken at any time. Because of this, it is recommended to have a computer and SPSS available (at reduced costs via u:soft).Attendance compulsory at the kick-off meeting: Those who do not attend without prior notice (sonja.windhager@univie.ac.at) will be deregistered so that students from the waiting list succeed.-
Monday
04.10.
15:00 - 17:30
Seminarraum 1.1 PC, Biologie Djerassiplatz 1, 1.003, Ebene 1
Seminarraum 1.8, Biologie Djerassiplatz 1, 1.007, Ebene 1 - Tuesday 05.10. 16:45 - 19:15 Seminarraum 1.4, Biologie Djerassiplatz 1, 1.013, Ebene 1
-
Monday
11.10.
15:00 - 17:30
Seminarraum 1.1 PC, Biologie Djerassiplatz 1, 1.003, Ebene 1
Seminarraum 1.8, Biologie Djerassiplatz 1, 1.007, Ebene 1 - Tuesday 12.10. 16:45 - 19:15 Seminarraum 1.4, Biologie Djerassiplatz 1, 1.013, Ebene 1
-
Monday
18.10.
15:00 - 17:30
Seminarraum 1.1 PC, Biologie Djerassiplatz 1, 1.003, Ebene 1
Seminarraum 1.8, Biologie Djerassiplatz 1, 1.007, Ebene 1 - Tuesday 19.10. 16:45 - 19:15 Seminarraum 1.4, Biologie Djerassiplatz 1, 1.013, Ebene 1
-
Monday
25.10.
15:00 - 17:30
Seminarraum 1.1 PC, Biologie Djerassiplatz 1, 1.003, Ebene 1
Seminarraum 1.8, Biologie Djerassiplatz 1, 1.007, Ebene 1 -
Monday
08.11.
15:00 - 17:30
Seminarraum 1.1 PC, Biologie Djerassiplatz 1, 1.003, Ebene 1
Seminarraum 1.8, Biologie Djerassiplatz 1, 1.007, Ebene 1 - Tuesday 09.11. 16:45 - 19:15 Seminarraum 1.4, Biologie Djerassiplatz 1, 1.013, Ebene 1
-
Monday
15.11.
15:00 - 17:30
Seminarraum 1.1 PC, Biologie Djerassiplatz 1, 1.003, Ebene 1
Seminarraum 1.8, Biologie Djerassiplatz 1, 1.007, Ebene 1 - Tuesday 16.11. 16:45 - 19:15 Seminarraum 1.4, Biologie Djerassiplatz 1, 1.013, Ebene 1
-
Monday
22.11.
15:00 - 17:30
Seminarraum 1.1 PC, Biologie Djerassiplatz 1, 1.003, Ebene 1
Seminarraum 1.8, Biologie Djerassiplatz 1, 1.007, Ebene 1 - Tuesday 23.11. 16:45 - 19:15 Seminarraum 1.4, Biologie Djerassiplatz 1, 1.013, Ebene 1
-
Monday
29.11.
15:00 - 17:30
Seminarraum 1.1 PC, Biologie Djerassiplatz 1, 1.003, Ebene 1
Seminarraum 1.8, Biologie Djerassiplatz 1, 1.007, Ebene 1 - Tuesday 30.11. 16:45 - 19:15 Seminarraum 1.4, Biologie Djerassiplatz 1, 1.013, Ebene 1
-
Monday
06.12.
15:00 - 17:30
Seminarraum 1.1 PC, Biologie Djerassiplatz 1, 1.003, Ebene 1
Seminarraum 1.8, Biologie Djerassiplatz 1, 1.007, Ebene 1 - Tuesday 07.12. 16:45 - 19:15 Seminarraum 1.4, Biologie Djerassiplatz 1, 1.013, Ebene 1
-
Monday
13.12.
15:00 - 17:30
Seminarraum 1.1 PC, Biologie Djerassiplatz 1, 1.003, Ebene 1
Seminarraum 1.8, Biologie Djerassiplatz 1, 1.007, Ebene 1 - Tuesday 14.12. 16:45 - 19:15 Seminarraum 1.4, Biologie Djerassiplatz 1, 1.013, Ebene 1
-
Monday
10.01.
15:00 - 17:30
Seminarraum 1.1 PC, Biologie Djerassiplatz 1, 1.003, Ebene 1
Seminarraum 1.8, Biologie Djerassiplatz 1, 1.007, Ebene 1 - Tuesday 11.01. 16:45 - 19:15 Seminarraum 1.4, Biologie Djerassiplatz 1, 1.013, Ebene 1
-
Monday
17.01.
15:00 - 17:30
Seminarraum 1.1 PC, Biologie Djerassiplatz 1, 1.003, Ebene 1
Seminarraum 1.8, Biologie Djerassiplatz 1, 1.007, Ebene 1 - Tuesday 18.01. 16:45 - 19:15 Seminarraum 1.4, Biologie Djerassiplatz 1, 1.013, Ebene 1
-
Monday
24.01.
15:00 - 17:30
Seminarraum 1.1 PC, Biologie Djerassiplatz 1, 1.003, Ebene 1
Seminarraum 1.8, Biologie Djerassiplatz 1, 1.007, Ebene 1 - Tuesday 25.01. 16:45 - 19:15 Seminarraum 1.4, Biologie Djerassiplatz 1, 1.013, Ebene 1
-
Monday
31.01.
15:00 - 17:30
Seminarraum 1.1 PC, Biologie Djerassiplatz 1, 1.003, Ebene 1
Seminarraum 1.8, Biologie Djerassiplatz 1, 1.007, Ebene 1
Information
Aims, contents and method of the course
Commonly used statistical techniques with regard to the bachelor thesis and other scientific work 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: no books/materials allowed). If switched to a digital mode due to COVID-19, also the practical part is changed to an open book exam.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)
Grade 1: 87 – 100 points, Grade 2: 75 – 86,99 points, Grade 3: 63 – 74,99 points, Grade 4: 51 – 62,99 points, Grade 5: < 51 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)
Grade 1: 87 – 100 points, Grade 2: 75 – 86,99 points, Grade 3: 63 – 74,99 points, Grade 4: 51 – 62,99 points, Grade 5: < 51 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: Tu 24.01.2023 00:26