BIOMEDICAL SYSTEMS AND CONTROL
Academic Year 2022/2023 - Teacher: Arturo BUSCARINOExpected Learning Outcomes
Course Structure
Required Prerequisites
BASIC KNOWLEDGE REGARDS:
-> Advanced level on physics and math
-> Intermediate level on Linear systems theory and control
-> Intermediate level on programming languages
No preparatory requests for passing other courses are required.
Attendance of Lessons
Detailed Course Content
1. Brain Computer Interface Technologies
Hardware and software BCI systems, signal processing for neurofeedback, applications.
Textbook Information
T2) Saeid Sanei, Jonathon Chambers, EEG Signal Processing, Wiley
Course Planning
Subjects | Text References | |
---|---|---|
1 | Hardware and software BCI systems - (9 hours) | T1-T2 |
2 | Signal processing for neurofeedback - (10 hours) | T1-T2 |
3 | Applications - (10 hours) |
Learning Assessment
Learning Assessment Procedures
The exam consists of a course project and an oral exam. Learning assessment may also be carried out on line, should the conditions require it.
The course project is individual and consists of a case study based on the analysis of biomedical data. The delivery of this project by the end of the course allows access to the oral examination. The final evaluation will be determined by the evaluation of both those.
For attending students there will be possible to do a midterm test shortly after the end of the course. The test lasting a maximum of two hours consists of questions (multiple choice and / or open) to check the knowledge acquired on of the contents covered during the course. If this test is passed, answering correctly to at least 50% of the questions, the oral exam is not compulsory but at the discretion of the student. The final evaluation will be determined by averaging the evaluation of the questionnaire with the evaluation of the course project.
Evaluation at the oral interview will be based on: the knowledge of the contents, the relevance of the answers with respect to the questions formulated, the property of technical language, the ability to make connections between the contents of the program.