Biological systems simulation
| Title | Προσομοίωση Βιολογικών Συστημάτων / Biological systems simulation |
| Code | ΙΠΓ005 |
| Interdepartmental Programme | IPPS "Medical Informatics" (2019-today) |
| Collaborating Schools | Medicine Informatics Electrical and Computer Engineering |
| Cycle / Level | 2nd / Postgraduate |
| Teaching Period | Winter |
| Coordinator | Ioanna Chouvarda |
| Common | No |
| Status | Active |
| Course ID | 600004398 |
| Academic Year | 2016 – 2017 |
| Class Period | Winter |
| Faculty Instructors |
|
| Instructors from Other Categories | |
| Weekly Hours | 2 |
| Total Hours | 26 |
| Class ID | 600060860
|
Course Type 2016-2020
- Scientific Area
- Skills Development
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/1/600060860
- eLearning (Moodle): https://elearning.auth.gr/course/view.php?id=4028
Language of Instruction
- Greek (Instruction, Examination)
Prerequisites
Required Courses
- ΙΠΑ001 Functional systems anatomy and morphology
- ΙΠΑ002 Systems Physiology
- ΙΠΒ001 Bio-data and applications - Bioinformatics
- ΙΠΒ003 Biomedical image processing
General Prerequisites
The good knowledge of systems physiology, functional morphology, biodata analytics from the biomolecular to the organ level as well as applied math, physics and high performance computing techniques are necessary.
Learning Outcomes
The capacity to use and develop the human physiome / Virtual Physiological Human for helping in the understanding of multi-scale and multi-level function and pathophysiology of the main human body systems.
General Competences
- Retrieve, analyse and synthesise data and information, with the use of necessary technologies
- Work in an international context
- Work in an interdisciplinary team
- Generate new research ideas
- Design and manage projects
- Advance free, creative and causative thinking
Course Content (Syllabus)
Bio-electromagnetism
Biomechanics of biological systems
Cardiorespiratory and neural systems functional principles
Simulation of cardiac and neuron cellular action potential
Multidimansional simulation of the electrical function of cardiac muscle and neurons
Applied math and computing techniques for the solution of non-linear partial differential equations using finite differences and finite elements
Imaging methods
Keywords
simulation, non-linear biological systems, cardiac and neuro multidimensional models, finite differences and elements, imaging
Educational Material Types
- Notes
- Slide presentations
- Book
Use of Information and Communication Technologies
Use of ICT
- Use of ICT in Course Teaching
- Use of ICT in Laboratory Teaching
- Use of ICT in Communication with Students
- Use of ICT in Student Assessment
Course Organization
| Activities | Workload | ECTS | Individual | Teamwork | Erasmus |
|---|---|---|---|---|---|
| Lectures | 40 | 1.3 | |||
| Laboratory Work | 16 | 0.5 | |||
| Reading Assigment | 24 | 0.8 | |||
| Project | 45 | 1.5 | |||
| Written assigments | 20 | 0.7 | |||
| Exams | 35 | 1.2 | |||
| Total | 180 | 6 |
Student Assessment
Description
Final written exams / projects
Student Assessment methods
- Written Exam with Multiple Choice Questions (Summative)
- Written Exam with Short Answer Questions (Summative)
- Written Assignment (Summative)
- Performance / Staging (Formative)
- Report (Summative)
- Labortatory Assignment (Formative)
Bibliography
Course Bibliography (Eudoxus)
δεν προβλεπεται
Additional bibliography for study
J. Malmivuo, R. Plonsey, 'Bioelectromagnetism''
G.D. Smith 'Solutions of Partial Differential equations using finite difference methods'' Oxford Press
J. Jack, D. Noble and Smith '' Electric current flow in excitable cells'' Oxford Press
Last Update
18-04-2017
