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Statistics

Module name (EN):
Name of module in study programme. It should be precise and clear.
Statistics
Degree programme:
Study Programme with validity of corresponding study regulations containing this module.
Aviation Business (Basic), Bachelor, ASPO 01.10.2018
Module code: ABBG12
SAP-Submodule-No.:
The exam administration creates a SAP-Submodule-No for every exam type in every module. The SAP-Submodule-No is equal for the same module in different study programs.
P410-0045
Hours per semester week / Teaching method:
The count of hours per week is a combination of lecture (V for German Vorlesung), exercise (U for Übung), practice (P) oder project (PA). For example a course of the form 2V+2U has 2 hours of lecture and 2 hours of exercise per week.
4V (4 hours per week)
ECTS credits:
European Credit Transfer System. Points for successful completion of a course. Each ECTS point represents a workload of 30 hours.
5
Semester: 2
Mandatory course: yes
Language of instruction:
German
Assessment:
Written exam (120 minutes)

[updated 01.10.2020]
Exam recurrence:
The information regarding exam recurrence is found within the exam policy of the study programme (ASPO).
Applicability / Curricular relevance:
All study programs (with year of the version of study regulations) containing the course.

ABBG12 (P410-0045) Aviation Business (Basic), Bachelor, ASPO 01.10.2015 , semester 4, mandatory course
ABBG12 (P410-0045) Aviation Business (Basic), Bachelor, ASPO 01.10.2018 , semester 2, mandatory course
Workload:
Workload of student for successfully completing the course. Each ECTS credit represents 30 working hours. These are the combined effort of face-to-face time, post-processing the subject of the lecture, exercises and preparation for the exam.

The total workload is distributed on the semester (01.04.-30.09. during the summer term, 01.10.-31.03. during the winter term).
60 class hours (= 45 clock hours) over a 15-week period.
The total student study time is 150 hours (equivalent to 5 ECTS credits).
There are therefore 105 hours available for class preparation and follow-up work and exam preparation.
Recommended prerequisites (modules):
ABBG11 Mathematics


[updated 05.11.2021]
Recommended as prerequisite for:
Module coordinator:
Prof. Dr. Susan Pulham
Lecturer: Prof. Dr. Susan Pulham

[updated 01.10.2018]
Learning outcomes:
After successfully completing this module, students will be able to formulate business-related problems statistically and to select and apply suitable statistical methods to analyze these questions. They will be able to critically evaluate statistical studies. They will be able to work with computers, perform calculations and interpret results.

[updated 01.10.2020]
Module content:
1. One-dimensional descriptive statistics
2. Two-dimensional descriptive statistics
3. Probability calculus
4. Inductive statistics


[updated 01.10.2020]
Teaching methods/Media:
Seminaristic lessons, exercises, lecture notes

[updated 01.10.2020]
Recommended or required reading:
- Bamberg, G., Baur, F., Krapp, M. (2012): Statistik, Oldenbourg Verlag
- Pulham, S.: Statistik leicht gemacht, Gabler Verlag
Always the latest edition.

[updated 01.10.2020]
 
[Sun Dec 22 04:18:38 CET 2024, CKEY=asf, BKEY=avg3, CID=ABBG12, LANGUAGE=en, DATE=22.12.2024]