Biosignal Analysis- Neuroinformatics
| Title | Ανάλυση Βιοσημάτων- Νευροπληροφορική / Biosignal Analysis- Neuroinformatics |
| Code | AI106 |
| Faculty | Sciences |
| School | Informatics |
| Cycle / Level | 2nd / Postgraduate |
| Teaching Period | Winter |
| Coordinator | Nikolaos Laskaris |
| Common | No |
| Status | Active |
| Course ID | 600016302 |
Programme of Study: PMS TECΗNĪTĪ NOĪMOSYNĪ (2018 éōs sīmera) MF
Registered students: 0
| Orientation | Attendance Type | Semester | Year | ECTS |
|---|---|---|---|---|
| KORMOS | Elective Courses belonging to the selected specialization | 1 | 1 | 7.5 |
Programme of Study: PMS TECΗNĪTĪ NOĪMOSYNĪ (2018 éōs sīmera) PF
Registered students: 5
| Orientation | Attendance Type | Semester | Year | ECTS |
|---|---|---|---|---|
| KORMOS | Elective Courses belonging to the selected specialization | 1 | 1 | 7.5 |
| Academic Year | 2018 – 2019 |
| Class Period | Winter |
| Faculty Instructors |
|
| Weekly Hours | 3 |
| Class ID | 600132058
|
Course Type 2016-2020
- Scientific Area
Course Type 2011-2015
Specific Foundation / Core
Mode of Delivery
- Face to face
Digital Course Content
- e-Study Guide https://qa.auth.gr/en/class/1/600132058
- eLearning (Moodle): https://elearning.auth.gr/course/view.php?id=8137
Language of Instruction
- Greek (Instruction, Examination)
Prerequisites
General Prerequisites
Good knowledge of signal processing techniques and basics of pattern analysis and computational intelligence
Learning Outcomes
To familiarize with digital techniques of processing, analyzing and handling the information in biosignals and get introduced to their applications in contemporary digital media paradigms.
General Competences
- Apply knowledge in practice
- Retrieve, analyse and synthesise data and information, with the use of necessary technologies
- Make decisions
- Work autonomously
- Work in teams
- Work in an interdisciplinary team
- Generate new research ideas
- Be critical and self-critical
Course Content (Syllabus)
Biosignals (recoding, digital processing, analysis, modelling, inspection and automated monitoring). Basic principles of Electrophysiology. Elements from Neurophysiology and Cognitive Neuroscience. NeuroInformatics : contemporary neuroimaging techniques and the extraction-management-scrutiny of information from the experimental data. Introduction to computational neuroscience and the neural modelling of various brain processes and mental faculties. The Brain as a complex system.
Keywords
biosignal analysis, neuroinformatics
Educational Material Types
- Notes
- Slide presentations
- Multimedia
Use of Information and Communication Technologies
Use of ICT
- Use of ICT in Course Teaching
- Use of ICT in Laboratory Teaching
Description
software demos related to the analysis of particular types of biosignals
Course Organization
| Activities | Workload | ECTS | Individual | Teamwork | Erasmus |
|---|---|---|---|---|---|
| Lectures | 30 | ✓ | |||
| Laboratory Work | 45 | ✓ | |||
| Reading Assigment | 60 | ||||
| Project | 90 | ✓ | |||
| Total | 225 |
Student Assessment
Description
The final mark reflects the performance in written exams (30%),
oral presentation of a recent paper(30%) and implementation of a project (40%)
Student Assessment methods
- Written Exam with Multiple Choice Questions (Summative)
- Written Exam with Short Answer Questions (Summative)
- Performance / Staging (Summative)
- Report (Summative)
Bibliography
Additional bibliography for study
1. U. Windhorst & H. Johansson. Modern Techniques in Neuroscience Research. Springer (ed.).1999
2. M.Cohen. Analyzing Neural Time Series Data: Theory and Practice (MIT Press).2014
3. A Fornito, A. Zalesky, E Bullmore. Fundamentals of Brain Network Analysis. (Academic Press).2016
& Selected articles from the recent literature.
Last Update
27-01-2020
