040414 PR Statistical Consulting (2017S)
Continuous assessment of course work
Labels
Summary
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 15.02.2017 09:00 to We 22.02.2017 12:00
- Deregistration possible until Tu 14.03.2017 23:59
Registration information is available for each group.
Groups
Group 1
Vorbesprechung für beide Gruppen am DO 02.03.2017, 15.30-17.00 Hörsaal 10 Oskar-Morgenstern-Platz 1 2.Stock (Bestätigt)
max. 24 participants
Language: German
LMS: Moodle
Lecturers
Classes
VB am DO 02.03.2017, 15.30-17.00 Hörsaal 10 Oskar-Morgenstern-Platz 1 2.Stock (Bestätigt)
Minimum requirements and assessment criteria
The three components are first graded separately and the scores are then combined using weights part 1: 30%, part 2: 50%, part 3: 20%. The final grade depends on the overall score G: G<=50% Nicht Genügend, 50%87,5% Sehr Gut.
Group 2
Vorbesprechung für beide Gruppen am DO 02.03.2017, 15.30-17.00 Hörsaal 10 Oskar-Morgenstern-Platz 1 2.Stock (Bestätigt)
max. 24 participants
Language: German
Lecturers
Classes
VB am DO 02.03.2017, 15.30-17.00 Hörsaal 10 Oskar-Morgenstern-Platz 1 2.Stock (Bestätigt)
Minimum requirements and assessment criteria
The three components are first graded separately and the scores are then combined using weights part 1: 30%, part 2: 50%, part 3: 20%. The final grade depends on the overall score G: G<=50% Nicht Genügend, 50%87,5% Sehr Gut.
Information
Aims, contents and method of the course
The course aims at providing experience with the application of selected statistical analysis methods. Students will participate in real life consulting sessions and perform data analysis within current projects. Further insight in analysis methods and reporting of results will be gained through presentations of selected scientific publications.
Assessment and permitted materials
Grading is based on three components: 1) Written summary of the problems and proposed solutions encountered in the consulting sessions, 2) Written report of the performed data analysis, 3) Presentation concerning the statistical problems and methods found in a selected scientific publication.
Examination topics
Reading list
Association in the course directory
Last modified: Mo 07.09.2020 15:29