Checking date: 15/02/2022


Course: 2022/2023

Brain machine interfaces
(19132)
Study: Bachelor in Robotics Engineering (381)


Coordinating teacher: VAQUERO LOPEZ, JUAN JOSE

Department assigned to the subject: Department of Bioengineering and Aerospace Engineering

Type: Electives
ECTS Credits: 3.0 ECTS

Course:
Semester:




Skills and learning outcomes
Description of contents: programme
1 Neurophysiology 2 Brain signals: recording and Imaging 3 Internal and external brain stimulation 4 Neural Signal processing 5 Machine learning for brain signals 6 Main types of Brain Machine Interfaces 7 Clinical and practical applications of Brain Machine Interfaces 8 Ethics of Brain Machine Interfaces
Learning activities and methodology
THEORETICAL PRACTICAL CLASSES. Knowledge and concepts students must acquire. Receive course notes and will have basic reference texts. Students partake in exercises to resolve practical problems. TUTORING SESSIONS. Individualized attendance (individual tutoring) or in-group (group tutoring) for students with a teacher. Subjects with 6 credits have 4 hours of tutoring/ 100% on- site attendance. STUDENT INDIVIDUAL WORK OR GROUP WORK. Subjects with 6 credits have 98 hours/0% on-site. WORKSHOPS AND LABORATORY SESSIONS. Subjects with 3 credits have 4 hours with 100% on-site instruction. Subjects with 6 credits have 8 hours/100% on-site instruction.
Assessment System
  • % end-of-term-examination 60
  • % of continuous assessment (assigments, laboratory, practicals...) 40

The course syllabus may change due academic events or other reasons.