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)
Timeslot:C
Participants:up till now 81 subscriptions
Schedule:Official schedule representation can be found in Osiris
Teachers:
formgrouptimeweekroomteacher
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
48 BBG-109 CLZ
2-4 BBG-001
group 2        Ricardo Verheij
 
Exam:
week: 4Thu 25-1-201811.00-13.00 uurroom: EDUC-THEATRON
week: 16Tue 17-4-201813.30-16.30 uurroom: BBG-169retake exam
Contents:

Research is curiosity-driven!

Research is about studying phenomena!

Research is about being creative and passionate about the world around us!

Research is about to become the creator of novel inventions!

Research is about to contribute to the scientific world!

Research is about to build a better world for us!

Do you want to have a research experience? If yes, the advanced research methods is your course!

The course consist of a combination of lectures, lab sessions, and a research assignment. The lectures provide the necessary theoretical background to conduct the research assignment and lab sessions. Being a researcher is an active and practical endeavor. For that reason the research assignment and lab sessions are a very important part of the course. At the end of the course, the research projects are shared in the context of an interactive coffee.

Learning objectives: After this course you will be able to:

  • Play the role of a researcher in Information Science by conducting an empirical cycle to evaluate existent information science artefacts in real-world contexts
  • Discuss existent empirical designs and and recognize its benefits and drawbacks
  • Participate in existent research projects by demonstrating your knowledge in solving certain experimental tasks
  • Analyse interesting phenomena and provide strong founded evidences on that phenomena based on statistical analysis
  • Select and apply appropriate research methods (qualitative and quantitative) for a given research problem
  • Present research projects by means of short presentations and poster
  • Write a scientific paper describing the application of research protocols and data analysis
  • Criticize and evaluate scientific papers and write reviews for the improvement of related research
  • Literature:
    • Wieringa, Roel. Design Science Methodology for Information Systems and Software Engineering.
      Springer 2014. Download (if connected at the UU network): http://link.springer.com/book/10.1007%2F978-3-662-43839-8
    • Wohlin, Claes. Et al. Experimentation in Software Engineering.
      Springer 2012. Download (if connected at the UU network): http://link.springer.com/book/10.1007/978-3-642-29044-2
    • Andy Field. Discovering Statistics Using SPSS or Discovering Statistics using R. SAGE London
    Course form:

    The course consist of a combination of lectures, lab sessions, and a research assignment. The lectures provide the necessary theoretical background to conduct the research assignment and lab sessions. Being a researcher is an active and practical endeavor. For that reason the research assignment and lab sessions are a very important part of the course. At the end of the course, the research projects are shared in the context of an interactive coffee.

    Lecture twice per week (4 hours), lab session once per week (2 hours), coaching session once per week (2 hours)

    Exam form:

    There are three main components to define the final grade: research project assignment, lab assignments, and written exams.

  • The research project assignment (see research project assignment page) counts for 50% of the grade. Research project assignment grade (RPAG) = (Grade_Assignment_D x 10% + Grade_Assignment_E x 40%)/50%. In addition, the grades for assignments A, B, and C can modify the final grade of the RPAG.
  • Assignment A (groups of 3): Share collected data from the comparative experiments counts for Sufficient/Insufficient, thus an insufficient grade will cause a deduction of 1 point of the RPAG
  • Assignment B (groups of 3): Draft of the research paper counts for Sufficient/Insufficient, thus an insufficient grade will cause a deduction of 1 point of the RPAG
  • Assignment C (individual): Peer review report counts for Sufficient/Insufficient. This assignment is mandatory, thus an insufficient grade will cause a deduction of 1 point of the RPAG.
  • Assignment D (groups of 3): Interactive coffee count for 10% of the grade
  • Assignment E (groups of 3): Research paper - final version counts for 40% of the grade
  • Lab assignments (individual and groups of 3) count for 15% of the grade. For each assignment (3 in total) you can score a sufficient (1) or insufficient (0). Lab assignments grade (LAG) = (assignments sufficient)/(total assignments)*15.
  • Exam (individual, closed book) counts for 35% of the grade. Exam grade (EG) = Grade_final x 35%

    Final grade The Final Grade (FG) of the course is calculated as follows: FG = RPAG*0.5 + LAG*0.15 + EG*0.35

    The FG has to be a 5.5 or higher for the student to successfully finish the course. All separate grades (RPAG, LAG, and EG) have to be a 5.5 or higher for the student to successfully finish the course.

  • Minimum effort to qualify for 2nd chance exam:It is possible to repair one of the three main components of the final grade (research project assignment, or lab assignments, or exams) if FG is at least 4.0. Check the regulations in the course website.
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