LEARNING OUTCOMES
After completing the course, the student will be familiar with
- designing basic neuroimaging experiments
- conducting fMRI and MEG experiments
- basic analysis of fMRI and MEG data
- writing a report on neuroimaging results
Credits: 5
Schedule: 06.09.2022 - 07.12.2022
Teacher in charge (valid for whole curriculum period):
Teacher in charge (applies in this implementation): Lauri Parkkonen
Contact information for the course (applies in this implementation):
CEFR level (valid for whole curriculum period):
Language of instruction and studies (applies in this implementation):
Teaching language: English. Languages of study attainment: English
CONTENT, ASSESSMENT AND WORKLOAD
Content
valid for whole curriculum period:
This course comprises lectures on physiological basis of functional brain imaging methods, data analysis, and experimental design as well as a practical part where the students design a neuroscientific experiment (under the guidance of the lecturers), carry out the fMRI and/or MEG measurements, analyse the acquired data and write a report of the results.
Assessment Methods and Criteria
valid for whole curriculum period:
Students are required to actively participate the group work, measurements and data analysis throughout the course. Assessment is based on the quality of the research plan and its execution as well as on the quality and depth of the analysis and reporting of the results. No exam.
Workload
valid for whole curriculum period:
- contact teaching (lectures, presentations, measurements, analysis clinics): 26 h
- individual study of background material: 20 h
- group work for planning and implementing the experiments: 18 h
- group work for data analysis: 50 h
- group work for compiling the report: 21 h
DETAILS
Substitutes for Courses
valid for whole curriculum period:
Prerequisites
valid for whole curriculum period:
FURTHER INFORMATION
Further Information
valid for whole curriculum period:
The course involves human brain imaging measurements that take place on campus in Otaniemi and mostly happen at hours outside of the lecture slot. The exact timing varies from year to year depending on the availability of the neuroimaging infrastructure.
Teaching Language : English
Teaching Period : 2022-2023 Autumn I - II
2023-2024 Autumn I - IIEnrollment :
The number of participants is restricted, and priority is given to students majoring in Human Neuroscience and Technology and in Biomedical Engineering. Students are required to have basic knowledge in neuroscience, brain imaging methods, programming, and signal processing.