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Statistical Methods Put into Practice / Information and Communication Technology

Module name (EN):
Name of module in study programme. It should be precise and clear.
Statistical Methods Put into Practice / Information and Communication Technology
Degree programme:
Study Programme with validity of corresponding study regulations containing this module.
Industrial Engineering, Master, ASPO 01.10.2014
Module code: WIMASc125
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.
P450-0137, P450-0138
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.
1V+1SU+1U+1PA (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.
Semester: 1
Mandatory course: yes
Language of instruction:
Written exam for Statistical Methods, project work for Information and Communication Technology (1:1)

[updated 18.12.2018]
Applicability / Curricular relevance:
All study programs (with year of the version of study regulations) containing the course.

WIMASc125 (P450-0137, P450-0138) Industrial Engineering, Master, ASPO 01.10.2014 , semester 1, mandatory course
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 180 hours (equivalent to 6 ECTS credits).
There are therefore 135 hours available for class preparation and follow-up work and exam preparation.
Recommended prerequisites (modules):
Recommended as prerequisite for:
WIMASc215 Quality Management / Cost Management
WIMAScWPF-Ing1 IT Project 1
WIMAScWPF-Ing8 IT Projects 1+2

[updated 10.02.2020]
Module coordinator:
Prof. Dr. Frank Kneip
Prof. Dr. Frank Kneip
Prof. Dr. Susan Pulham

[updated 20.01.2020]
Learning outcomes:
Statistical Methods Put into Practice:
After successfully completing this module students will:
_        be able to solve problems in descriptive statistics using the appropriate methods
_        be able to solve problems in inductive statistics using the appropriate methods
_        be able to classify the most important probability distributions and solve concrete problems with them.
_        be able to solve complex practical problems using specific software (Excel, SPSS)
_        be able to understand and critically evaluate empirical studies by third parties
Information and Communication Technology:
After successfully completing this module students will:
_        be able to model business processes with UML
_        know the scope and structure of a specification sheet
_        be able to analyze business problems with regard to application-supported IT support
_        have experience in handling IT-supported tools for team-based IT development projects
_        be able to apply IT project management methods
_        have advanced knowledge in an object-oriented programming language (e.g. Java)

[updated 18.12.2018]
Module content:
Statistical Methods Put into Practice:
1. Statistical induction
2. Correlation analysis
3. _Regression analysis
4. Factor analysis
5. Cluster analysis
Information and Communication Technology:
Students will work in teams to find an IT-supported solution to a business-oriented task. To do so, they must analyze the task and create a concept for its solution. They will then create an application prototype based on their concept.
1.        Structured analysis
2.        Specifications and requirements
3.        Software and process modeling with UML
4.        Project management in an IT project
5.        Tools for creating software in teams
6.        Introducing / rolling out IT systems

[updated 18.12.2018]
Teaching methods/Media:
Statistical Methods Put into Practice:
Lecture with slides and computer-aided exercises
Information and Communication Technology:
Projector, slides, lecture notes. Only open source software will be used.

[updated 18.12.2018]
Recommended or required reading:
Statistical Methods Put into Practice:
_        P. P. Eckstein: Angewandte Statistik mit SPSS: Praktische Einführung für Wirtschaftswissenschaftler, 7. Auflage, Wiesbaden, 2012.
_        S. Pulham: Statistik leicht gemacht, Wiesbaden, 2011.
Information and Communication Technology:
_        Ullenboom, Christian: Java ist auch eine Insel, 10. Auflage, Galileo OpenBook 2011
_        Herold, H.; Lurz, B.; Wohlrab, J.: Grundlagen der Informatik, Pearson Studium Verlag, 2011
_        Sommerville, I.: Software Engineering, 9. Auflage, Pearson Studium, 2012
_        Rechenberg, P./ Pomberger, G.: Informatik-Handbuch, 4. Auflage, Carl Hanser Verlag, 2006

[updated 18.12.2018]
[Tue Jul 16 09:15:08 CEST 2024, CKEY=wsmidpi, BKEY=wim2, CID=WIMASc125, LANGUAGE=en, DATE=16.07.2024]