Department of Information and Computing Sciences

Departement Informatica Onderwijs
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Onderwijs Informatica en Informatiekunde

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Advanced research methods

Website:website containing additional information
Course code:INFOARM
Credits:7.5 ECTS
Period:period 2 (week 46 through 5, i.e., 13-11-2017 through 2-2-2018; retake week 16)
Participants:up till now 73 subscriptions
Schedule:Official schedule representation can be found in Osiris
lecture   Tue 13.15-15.0046-51 BBG-001 Luz Marcela Ruiz Carmona
2-4 BBG-001
Thu 9.00-10.4546-47 RUPPERT-D
48-51 BBG-161
2-4 BBG-161
tutorial          Luz Marcela Ruiz Carmona
group 1 Mon 13.15-15.0047-51 BBG-161 Alexander Bestebreurtje
2-4 BBG-161
Tue 15.15-17.0046-51 BBG-001
2-4 BBG-001
group 2        Ricardo Verheij
week: 5Tue 30-1-201813.30-16.30 uurroom: EDUC-ALFA
Note:No up-to-date course description available.
Text below is from year 2016/2017

The main objective of this course is to understand and apply guidelines for conducting research projects
in information systems and software engineering.

Learning objectives: During the lectures and laboratory sessions, students will develop and gain skills,
attitude, and knowledge. After this course the student

    Is able to:
  • Design research projects that involve two main activities: artefact design and artefact evaluation
  • Conduct a comparative experiment to evaluate artefacts in contexts
  • Apply statistical tools for data analysis
  • Write scientific papers to report on research results
  • A communicative attitude in working together to establish an overall goal
  • Willingness to evaluate his/her colleagues by means of peer reviews activities
  • A proactive attitude to schedule research activities, set up research environments, and apply research ethics
  • Motivation to present and publish scientific results
    Knows (content):
  • Key concepts of the Design science methodology
  • Experimental research
  • A road map of research methods: Observational case studies, Single-case mechanism experiments,
    technical action research, canonical action research
  • Ethics in experimentation
  • Data analysis and interpretation (scoping, planning, operation)
    Statistical toolbox: Descriptive, parametric and non-parametric tests, linear regression
  • Research presentation & package
Literature:May change!
  • Wieringa, Roel. Design Science Methodology for Information Systems and Software Engineering.
    Springer 2014. Download (if connected at the UU network):
  • Wohlin, Claes. Et al. Experimentation in Software Engineering.
    Springer 2012. Download (if connected at the UU network):
  • Andy Field. An Adventure in Statistics: The Reality Enigma. London, UK, SAGE edge. 2016
Course form:Lecture once per week (4 hours) and lab session once per week (2 hours)
Exam form:See the website of the course for further information.
Minimum effort to qualify for 2nd chance exam:To qualify for the retake exam, the grade of the original must be at least 4.
Description:Check the course website regularly!