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., 4-9-2017 through 10-11-2017; retake week 1)
Timeslot:B
Participants:up till now 176 subscriptions
Schedule:Official schedule representation can be found in Osiris
Teachers:
formgrouptimeweekroomteacher
lab session group 3 Tue 9.00-10.4537-39 BBG-161
41-44 BBG-161
lecture   Tue 11.00-12.4537-39 KBG-COSMOS Luz Marcela Ruiz Carmona
Kalliopi Zervanou
   
41-44 KBG-COSMOS
Thu 15.15-17.0036 KBG-PANGEA
37-44 RUPPERT-WIT
tutorial group 1 Thu 17.15-19.0037-44 BBG-201 Vincent Menger
Roman Peters
   
group 2 Thu 17.15-19.0037-44 BBG-001 Luz Marcela Ruiz Carmona
Zoe Coenen
  
group 3 Thu 17.15-19.0037-44 BBG-161 Eileen Kapel
 
group 4 Thu 17.15-19.0037-44 BBG-209 Lobke Habets
 
group 5        Anneloes Meijer
 
Exam:
week: 40Tue 3-10-20178.30-10.30 uurroom: EDUC-BETA
week: 44Wed 1-11-201713.30-16.30 uurroom: EDUC-BETA
week: 1Fri 5-1-20188.30-10.30 uurroom: EDUC-ALFAretake exam
Contents:
  • Design Science
  • The research plan and literature search
  • Survey research
  • Reporting, plagiarism and fraud
  • Statistics
  • Qualitative methods
  • Quantitative methods
  • Literature:

    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:It is possible to repair one of the three main components of the final grade (research assignment, or lab assignments, or exams) if FG is at least 4.0. The regulations for the additional tests are:

    Research assignment. It is possible to repair the research assignment up to 5.5, but only if 4.0<= research assignment grade< 5.5. You are admitted to repair the research assignment if:

  • grade of the lab assignments is at least 5.5, AND
  • grade of the exams is at least 5.5

    Lab assignments. It is possible to repair the lab assignments up to 5.5, but only if 4.0<= lab assignments grade< 5.5. You are admitted to repair the lab assignment if:

  • grade of the research assignment is at least 5.5, AND
  • grade of the exams is at least 5.5

    Exams. It is possible to repair the exams. The repaired exam replaces only the lowest grade of the two exams (mid term written exam and final written exam). You are admitted to repair the exams if:

  • grade of the research assignment is at least 5.5, AND
  • grade of the lab assignments is at least 5.5, AND
  • participated in at least one exam

    Final grades The final grade for students with access to the additional tests (FGadd) is as follows: FGadd = min (5, FG) = 5. Code in osiris = AANV

    The final grade for students that fail the course (FGfail) is as follows: FGfail = min (3, FG) = 3. Code in osiris = NVD

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