SOW-MKI42A
Advanced Research Methods
Course infoSchedule
Course moduleSOW-MKI42A
Credits (ECTS)3
Category-
Language of instructionEnglish
Offered byRadboud University; Faculty of Social Sciences; Artificial Intelligence;
Lecturer(s)
Contactperson for the course
L.E.C. Jacques
Other course modules lecturer
Lecturer
dr. P.A. Kamsteeg
Other course modules lecturer
Coordinator
dr. M. Sadakata
Other course modules lecturer
Examiner
dr. M. Sadakata
Other course modules lecturer
Academic year2018
Period
PER1-PER2  (03/09/2018 to 03/02/2019)
Starting block
PER1
Course mode
full-time
RemarksThis course is only available for students who started in 2017 or earlier.
Registration using OSIRISYes
Course open to students from other facultiesNo
Pre-registrationNo
Waiting listNo
Placement procedure-
Aims

At the end of the course, the student is able to:

  • Design, carry out and analyze empirical research in a methodologically correct way
  • Critically read and evaluate academic articles
  • Translate a theory into a practical framework, algorithm or a computational model
  • Able to present the results in a scientifically rigorous way
  • Collaborate with partners
Content

In this practical course, small groups of students design and conduct a small-scale empirical study that includes the design and evaluation of a computational and/or cognitive model. Each research step is prepared and presented in class. Close attention is paid to the embedding of the research into existing literature, the rational of the research and consistency of argumentation, the formulation of research questions and hypotheses, the design of a proper methodology, the interpretation of results and future research suggestions.

Levels
AI-MA

Test information
No exam.
Lecture attendance is obligatory, the final evaluation is the weighted average of assignments group and individual works. The grade of the individual part should be above 5.5 in order to pass the course.

Prerequisites
At least a full year of prior study in the field of cognitive science, artificial intelligence, or computer science. Furthermore, experience in statistics and programming are required.

Contact information
Dr.M.Sadakata, T:3615418, E.:M.sadakata@donders.ru.nl

Instructional modes
Lecture
Attendance MandatoryYes

Practical session

Tests
Proposal
Test weight50
OpportunitiesBlock PER1, Block PER2

Symposium
Test weight50
Test typeAssignment
OpportunitiesBlock PER1