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IT Project 1

Module name (EN):
Name of module in study programme. It should be precise and clear.
IT Project 1
Degree programme:
Study Programme with validity of corresponding study regulations containing this module.
Industrial Engineering, Master, ASPO 01.10.2014
Module code: WIMAScWPF-Ing1
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.
P450-0229
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.
2PA (2 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.
3
Semester: 2
Mandatory course: no
Language of instruction:
German
Assessment:
Graded project work

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

WIMAScWPF-Ing1 (P450-0229) Industrial Engineering, Master, ASPO 01.10.2014 , semester 2, optional 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).
30 class hours (= 22.5 clock hours) over a 15-week period.
The total student study time is 90 hours (equivalent to 3 ECTS credits).
There are therefore 67.5 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
Lecturer:
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.        Using class libraries
2.        Design of class structures
3.        Structured program design
4.        Elements of software engineering
5.        Documentation and tools for teamwork
6.        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]
 
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