htw saar Piktogramm QR-encoded URL
Back to Main Page Choose Module Version:
XML-Code

flag



Scientific Work

Module name (EN):
Name of module in study programme. It should be precise and clear.
Scientific Work
Degree programme:
Study Programme with validity of corresponding study regulations containing this module.
Applied Informatics, Bachelor, ASPO 01.10.2022
Module code: PIB-WA
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.
P221-0046
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+1U (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.
2
Semester: 4
Mandatory course: yes
Language of instruction:
German
Assessment:


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

PIB-WA (P221-0046) Applied Informatics, Bachelor, ASPO 01.10.2022 , semester 4, 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).
30 class hours (= 22.5 clock hours) over a 15-week period.
The total student study time is 60 hours (equivalent to 2 ECTS credits).
There are therefore 37.5 hours available for class preparation and follow-up work and exam preparation.
Recommended prerequisites (modules):
PIB-INF1 Informatics 1
PIB-INF2 Informatics 2


[updated 01.03.2019]
Recommended as prerequisite for:
Module coordinator:
Prof. Dr. Peter Birkner
Lecturer:
Prof. Dr. Klaus Berberich
Prof. Dr. Peter Birkner


[updated 01.03.2019]
Learning outcomes:
After successfully completing this module, students will be able to describe and explain how scientific work works, especially in computer science. In doing so, they will be able to use their knowledge to carry out searches and document arguments in writing as well as with the help of quotations. In addition, students will be able to use the most common scientific documentation tools.

[updated 24.02.2018]
Module content:
Methodical and technical basics will first be taught and then intensified through practical exercises. Exams will be conducted parallel within the framework of the exercises, which students will work on independently.
  
1. Principles of science
2. Forms of science in Informatics
3. Scientific activity in Informatics
4. Research: goals, methodology, sources
5. Arguing and quoting
6. Tools for scientific documentation
7. Articulating scientific results
8. Selected special topics

[updated 24.02.2018]
Teaching methods/Media:
Transparencies, projector, board, discussions, theoretical and practical exercises

[updated 24.02.2018]
Recommended or required reading:
Martin Kornmeier: Wissenschaftlich Schreiben leicht gemacht, utb, 2013.
Marcus Deininger, Horst Lichter, Jochen Ludewig, Kurt Schneider: Studien-Arbeiten: Ein Leitfaden zur Vorbereitung, Durchführung und Betreuung von Studien-, Diplom- und Doktorarbeiten am Beispiel Informatik. Teubner, 5. Auflage 2005.
Justin Zobel: Writing for Computer Science. Springer, 3. Auflage 2014.
Barbara Minto: Das Prinzip der Pyramide. Pearson Studium, 2005.
Gene Zelazny: Say it with Presentations. McGraw-Hill, 2006.
Tobias Oetiker: The Not So Short Introduction to LaTeX

[updated 24.02.2018]
Module offered in:
SS 2024, SS 2023, SS 2022, SS 2021, SS 2020, ... 
[Thu Nov 21 12:34:38 CET 2024, CKEY=pwaa, BKEY=pi2, CID=PIB-WA, LANGUAGE=en, DATE=21.11.2024]