PSY4320 – Research methods in cognitive neuroscience Part II
Course description
Course content
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.
Learning outcome
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.
Admission to the course
Students who are admitted to study programmes at UiO must each semester register which courses and exams they wish to sign up for in Studentweb.
If you are not already enrolled as a student at UiO, please see our information about admission requirements and procedures.
The course is not open to single course students.?
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.
Overlapping courses
- 5 credits overlap with PSYC6503 – Imaging methods in cognitive neuroscience (discontinued).
Teaching
Teaching is done through lectures, seminars and testing.
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.
Examination
Programming assignment. Home exam.
The department may use the acknowledged plagiarism software for all written assignments.
Examination support material
All support material is allowed. When using AI, you must explain and be transparent about its use: read more about the guidelines for AI and exams at?How to use AI as a student - University of Oslo
Language of examination
The examination text is given in English, and you submit your response in English.
Grading scale
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.
More about examinations at UiO
- Use of sources and citations
- How to use AI as a student
- Special exam arrangements due to individual needs
- Withdrawal from an exam
- Illness at exams / postponed exams
- Explanation of grades and appeals
- Resitting an exam
- Cheating/attempted cheating
You will find further guides and resources at the web page on examinations at UiO.