SOW-PSB3RS35E
Applied Research Methods: Brain & Cognition
Course infoSchedule
Course moduleSOW-PSB3RS35E
Credits (ECTS)4
CategoryBA (Bachelor)
Language of instructionEnglish
Offered byRadboud University; Faculty of Social Sciences; Psychology;
Lecturer(s)
PreviousNext 5
Lecturer
dr. N. Dijkstra
Other course modules lecturer
Lecturer
prof. dr. S. Hunnius
Other course modules lecturer
Coordinator
dr. M.G.M. Koppen
Other course modules lecturer
Examiner
dr. M.G.M. Koppen
Other course modules lecturer
Contactperson for the course
dr. M.G.M. Koppen
Other course modules lecturer
Academic year2018
Period
PER2  (05/11/2018 to 03/02/2019)
Starting block
PER2
Course mode
full-time
Remarks-
Registration using OSIRISYes
Course open to students from other facultiesNo
Pre-registrationNo
Waiting listNo
Placement procedure-
Aims
Upon completion of this course, you command concrete knowledge of a number of data collection and analysis techniques playing a central role in neuropsychology and cognitive psychology. Your insights are sufficient to critically evaluate research articles employing these techniques. On the practical side, you are able to independently apply some of these techniques in standard situations and correctly interpret and report the results. In the short term, this provides good preparation for Research Practical 3 and the Bachelor’s thesis.
Content
Every week a staff member from the domain Brain and Cognition will discuss a research area of his/her expertise, including research methods and techniques typical of this field. Emphasis is on the relation between substantive questions and methods, illustrated by recently published research articles and, in half of the cases, a raw data set to be analysed by the student. We will attempt to work with as many types of data as possible, including behavioural data like response times, eye movements and neuropsychological tests, as well as electrophysiological and neuro-imaging data such as EEG, ERP, EMG and fMRI.

Course information

1. Open answer questions on the lectures, reading assignments and data analysis assignments.
2. Evaluation of the submitted data analysis reports.Through Studentportal. See also Course enrolment.
Required materials
To be announced
Articles and book chapters, to be announced through Brightspace.

Instructional modes
Assignments
Attendance MandatoryYes

General
There is one lecture on each subject, for which a research article, review article and/or book chapter should be read. For half of the subjects, you perform a data analysis on a data set assigned by the lecturer and submit a written report of these analyses, including a discussion of your interpretation of the results. For these subjects, a second session will take place in which the data analysis assignment will be discussed.

Lecture

Tests
Open answer questions
Test weight70
Test typeExam
OpportunitiesBlock PER2, Block PER3

Data-analysis reports
Test weight30
OpportunitiesBlock PER2, Block PER3