350188 SE BA3III - Quantitative Research Methods (2017S)
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 Tu 21.02.2017 09:00 to Tu 07.03.2017 12:00
- Deregistration possible until Fr 31.03.2017 12:00
Details
max. 30 participants
Language: German
Lecturers
Classes (iCal) - next class is marked with N
Der Abschlusstest findet am 19.05.2017 (14:00-15:30, EDV Raum 2. Stock, USZ II) statt.
Ersatztermin am 09.06.2017 (14:00-15:30, EDV Raum 2. Stock, USZ II)
Friday
10.03.
14:00 - 17:00
ZSU - USZ II, EDV Raum, 2. Stock
Friday
17.03.
14:00 - 17:00
ZSU - USZ II, EDV Raum, 2. Stock
Friday
31.03.
14:00 - 17:00
ZSU - USZ II, EDV Raum, 2. Stock
Friday
07.04.
14:00 - 17:00
ZSU - USZ II, EDV Raum, 2. Stock
Friday
28.04.
14:00 - 17:00
ZSU - USZ II, EDV Raum, 2. Stock
Friday
12.05.
14:00 - 17:00
ZSU - USZ II, EDV Raum, 2. Stock
Friday
19.05.
14:00 - 17:00
ZSU - USZ II, EDV Raum, 2. Stock
Friday
09.06.
14:00 - 17:00
ZSU - USZ II, EDV Raum, 2. Stock
Information
Aims, contents and method of the course
Assessment and permitted materials
Homeworks, interim tests, final test-) 2 homeworks (group work, each 10 points)
-) 2 interim tests (group work, each 10 points)
-) final test (60 points)
-) 2 interim tests (group work, each 10 points)
-) final test (60 points)
Minimum requirements and assessment criteria
Participation at the final test and a minimum of 50 points (10 + 10 + 30 from individual tasks) represent the minimal requirements.
The attendence at 75% of the lectures is obligatory.
The attendence at 75% of the lectures is obligatory.
Examination topics
Slides and materials as provided in the seminar
Reading list
Scriptum: BA3I Grundlagen der Statistik (Univ.Prof. DI Dr. Arnold Baca)
Association in the course directory
BA3III
Last modified: Th 11.08.2022 00:27
Contents: Descriptive statistics (univariate, bivariate), Interference statistics, graphical presentation of results
Methods: Lectures plus practicing at the PC (MS Excel and SPSS)