Information on individual educational components (ECTS-Course descriptions) per semester

  
Degree programme:Bachelor Computer Science - Software and Information Engineering
Type of degree:FH Bachelor´s Degree Programme
 Full-time
 Summer Semester 2023
  

Course unit titleScientific Work
Course unit code024717040901
Language of instructionEnglish
Type of course unit (compulsory, optional)Compulsory
Semester when the course unit is deliveredSummer Semester 2023
Teaching hours per week2
Year of study2023
Level of course unit (e.g. first, second or third cycle)First Cycle (Bachelor)
Number of ECTS credits allocated2
Name of lecturer(s)Regine KADGIEN
Roland PETERSTORFER


Prerequisites and co-requisites

None

Course content

In the 5th semester, students start with the bachelor's thesis. In this course the students learn how to communicate successfully with the scientific community:

  • How does the communication work in science (conferences, papers in journals, books, new media)?
  • How to carry out a scientific demonstration (Research methods and hypothesis; experimental variables; random samples and comparison groups; variance reduction; statistical analysis; internal and external validity) 
  • How to write a scientific work
  • How to design a scientific poster
  • How to write an English abstract
Learning outcomes

The students should be able to complete a written thesis, according to scientific standards in communication. The following questions should be answered by the thesis:

  • Why did you start?
  • What did you do and how?
  • What did you find?
  • What do the findings mean

The students are able to deliver an empirical proof (falsification and verification) for their predications about their developed software, they can support the evidence using scientific methods.

Students can write an abstract in English.

Planned learning activities and teaching methods

2 lecture hours seminar in 2 groups

Assessment methods and criteria

Seminar with comprehensive examination (active participation, presentations, abstracts)

Comment

Non applicable

Recommended or required reading
  • Montgomery, Douglas C. (2019): Design and Analysis of Experiments, EMEA Edition. 9. Wiley.
  • Barrass, Robert (2002): Scientists Must Write: A Guide to Better Writing for Scientists, Engineers and Students. 2 New edition. London ; New York: Routledge. 
  • Swales, John (2009): Abstracts and the Writing of Abstracts. Volume 1 of Rev. Ann Arbor: UNIV OF MICHIGAN PR.

 

Mode of delivery (face-to-face, distance learning)

Classroom teaching - attendance is mandatory

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