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IT Projects 1+2

Module name (EN):
Name of module in study programme. It should be precise and clear.
IT Projects 1+2
Degree programme:
Study Programme with validity of corresponding study regulations containing this module.
Industrial Engineering, Master, ASPO 01.10.2014
Module code: WIMAScWPF-Ing8
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.
4PA (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: 2
Mandatory course: no
Language of instruction:

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

WIMAScWPF-Ing8 Industrial Engineering, Master, ASPO 01.10.2014 , semester 2, optional 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):
WIMASc125 Statistical Methods Put into Practice / Information and Communication Technology

[updated 05.02.2020]
Recommended as prerequisite for:
Module coordinator:
Prof. Dr. Daniel F. Abawi
Prof. Dr. Daniel F. Abawi

[updated 05.02.2020]
Learning outcomes:
After successfully completing this module students will:
_        be able to independently provide solutions for computer science tasks
be proficient in the object-oriented language Java, as well as UML for modelling and implementing a business scenario

[updated 18.12.2018]
Module content:
1.      Requirements analysis and concept
2.        Using class libraries
3.        Design of class structures
4.        Structured program design
5.        Elements of software engineering
6.        Documentation and tools for teamwork
7.        Case study and project

[updated 18.12.2018]
Teaching methods/Media:
Projector, slides (lecture notes), independent and guided exercises. Only open source software will be used.

[updated 18.12.2018]
Recommended or required reading:
_        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
Further recommendations regarding literature or for example, web articles will be made by the lecturer in the course.

[updated 18.12.2018]
[Fri Jun 21 09:17:15 CEST 2024, CKEY=wi, BKEY=wim2, CID=WIMAScWPF-Ing8, LANGUAGE=en, DATE=21.06.2024]