PSY4320 – Research methods in cognitive neuroscience Part II
Schedule, syllabus and examination date
This course is the second of two courses in methods in cognitive neuroscience.
The course provides training in data analysis and statistics and will teach students some of the research tools needed in cognitive neuroscience. The emphasis will be on practical skills within three different methodologies, functional experiments, ERP and fMRI.
The course will take form as seminars with concentrated focus on the research tool question. Some key experiments will be used as cases. It will also be possible to work on technical aspects of the master thesis.
Students will learn many of the practical skills necessary to become independent researchers within the area of cognitive neuroscience. This course focuses on analysis techniques for fMRI, EEG, and eye tracking data. In addition, time series analyses and statistics will be covered. All exercises rely on the MATLAB software environment.
Up-to-date knowledge of the impact of imaging techniques on our understanding of human cognition will be acquired throughout the course.
Students will be taught about the primacy of participant safety in using imaging techniques. Also, in addition to getting an insight into the massive potential of imaging techniques to complement and improve cognitive models of the mind, students will also be confronted with the inherent limitations of the techniques, as well as a comparison of the knowledge gained by different methods.
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Recommended previous knowledge
Bachelor's degree in psychology with focus on cognitive neuroscience.
Completion of the course PSY4310 – Research methods in cognitive neuroscience Part I.
5 credits overlap with PSYC6503 – Imaging methods in cognitive neuroscience (discontinued)
Teaching is done through lectures, seminars and testing.
Access to teaching
A student who has completed compulsory instruction and coursework and has had these approved, is not entitled to repeat that instruction and coursework. A student who has been admitted to a course, but who has not completed compulsory instruction and coursework or had these approved, is entitled to repeat that instruction and coursework, depending on available capacity.
Programming assignment. Home exam.
Submit assignments in Inspera
You submit your assignment in the digital examination system Inspera. Read about how to submit your assignment.
Use of sources and citation
Language of examination
The examination text is given in English, and you submit your response in English.
Grades are awarded on a pass/fail scale. Read more about the grading system.
If you are an exchange student, please note that you will receive a pass or fail for this course and this cannot be converted into an A-F grading scale.
The department may use the acknowledged plagiarism filter for all written assignments when in doubt there may be a case of plagiarism in the submitted work.
Explanations and appeals
Resit an examination
There is no make up exam for this course. Students who have been sick on the exam must register for the exam next time the course is scheduled.
If one doesn`t sit for the exam one must submit proof of legitimate absence (illness, etc.), see § 5.5 in Regulations for studies and examinations at the University.
Students who have special conditions - for example, that one is chronically ill, prevented from further progression or lose the right to study at the university, may apply to have a postponed exam the same term. It is not automatically granted.
Special examination arrangements
Application form, deadline and requirements for special examination arrangements.