Department of Information and Computing Sciences

Departement Informatica Onderwijs
Bachelor Informatica Informatiekunde Kunstmatige intelligentie Master Computing Science Game&Media Technology Artifical Intelligence Business Informatics

Onderwijs Informatica en Informatiekunde

Vak-informatie Informatica en Informatiekunde

Wetenschappelijke onderzoeksmethoden

Website:website containing additional information
Course code:INFOWO
Credits:7.5 ECTS
Period:period 1 (week 36 through 45, i.e., 3-9-2018 through 9-11-2018; retake week 1)
Participants:up till now 112 subscriptions
Schedule:Official schedule representation can be found in Osiris
lab session group 1 Tue 9.00-10.4537-39 RUPPERT-002 Ricardo den Brave
41-44 RUPPERT-002
group 2 Tue 9.00-10.4537-39 DDW-1.30 Sabrina Hersman
41-44 DDW-1.30
group 3 Tue 9.00-10.4537-39 BBG-103 CLZ Lisa Hordijk
41-44 BBG-103 CLZ
lecture   Tue 11.00-12.4537-39 KBG-COSMOS Ioanna Lykourentzou
Luz Marcela Ruiz Carmona
41 ANDRO-C101
Thu 15.15-17.0036 RUPPERT-040
37-44 RUPPERT-040
tutorial group 1 Thu 17.15-19.0037-44 BBG-223 Luz Marcela Ruiz Carmona
Lisa Hordijk
group 2 Thu 17.15-19.0037-44 BBG-219 #SSOI
Lara Zijlstra
group 3 Thu 17.15-19.0037-44 BBG-001
week: 40Tue 2-10-20188.30-10.30 uurroom: EDUC-BETA
week: 45Tue 6-11-201817.00-19.00 uurroom: EDUC-GAMMA
week: 1Thu 3-1-201917.00-19.00 uurroom: EDUC-ALFAretake exam
Note:No up-to-date course description available.
Text below is from year 2017/2018
  • Design Science
  • The research plan and literature search
  • Survey research
  • Reporting, plagiarism and fraud
  • Statistics
  • Qualitative methods
  • Quantitative methods
  • Literature:May change!

    Compulsory literature

    A large part of the statistical lectures are based on the Digital Mathematics Environment modules (DME). In addition to the modules, it is recommended to study the book Discovering Statistics Using IBM SPSS Statistics (London, UK, SAGE edge, 4th edition) by Andy Field.

    The scientific research lectures are based on Social Science Research: Principles, Methods, and Practices by Anol Bhattacherjee (second edition). In addition to the book, more articles will be announced during the course

    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. There are two main types of assignments:

  • For the research assignment, you will have to conduct the survey research protocol in order to analyse certain phenomena. All the students will participate in the bachelor symposium to present their research results. There are three deliverables for this assignment, a research paper, a peer review session, and a poster presentation in the bachelor symposium.
  • For the lab assignments you will receive digital modules to reinforce the learning process of the statistical concepts. The experience with the statistical modules will be discussed during the lectures. The modules have to be studied and the exercises have to be solved before the deadlines. In addition, you will be guided through the development of your research project, for that some exercises and activities need to be solved during the lab sessions. The lab assignments will be handed out during the respective sessions and have to be handed in before their deadlines.
  • Exam form:There are three main components to define the final grade: research assignment, lab assignments, and written exams.
  • The research assignment and poster presentation on the research project (see research assignment page) counts for 50% of the grade.
  • - Assignment A (individual): Research paper - problem investigation and research set up counts for 15% of the grade

    - Assignment B (groups of 4): Research paper - problem investigation, research set up, and data analysis counts for Sufficient/Insufficient. This assignment is mandatory.

    - Assignment C (individual): Peer review report counts for 10% of the grade

    - Assignment D (groups of 4): Poster presentation and symposium count for 10% of the grade

    - Assignment E (groups of 4): Research paper - final version counts for 15% of the grade

  • Lab assignments (individual and groups of 4) count for 10% of the grade. For each assignment (9 in total) you can score a sufficient (1) or insufficient (0). Lab assignments grade = (assignments sufficient)/(total assignments)*10.
  • Exams (individual, closed book) counts for 40% of the grade

    -The mid term written exam counts for 20% of the grade

    -The final written exam counts for 20% of the grade

    Final grade

    The Final Grade (FG) of the course is calculated as follows:

    FG = research assignment grade*0.5 + lab assignments grade*0.1 + exams grade*0.4

    The final grade has to be a 5.5 or higher for the student to successfully finish the course.

    All separate grades (research assignment, lab assignments, and exams) have to be a 5.5 or higher for the student to successfully finish the course.

  • 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:NB: Er is geen recente vakbeschrijving beschikbaar.