Biological systems simulation

Course Information
TitleΠροσομοίωση Βιολογικών Συστημάτων / Biological systems simulation
CodeΙΠΓ005
Interdepartmental ProgrammeIPPS "Medical Informatics" (2019-today)
Collaborating SchoolsMedicine
Informatics
Electrical and Computer Engineering
Cycle / Level2nd / Postgraduate
Teaching PeriodWinter
CoordinatorIoanna Chouvarda
CommonNo
StatusActive
Course ID600004398

Programme of Study: IPPS "Medical Informatics" (2019-today)

Registered students: 0
OrientationAttendance TypeSemesterYearECTS
KORMOSCompulsory Course326
Class Information
Academic Year2017 – 2018
Class PeriodWinter
Faculty Instructors
Weekly Hours2
Class ID
600111932
Course Type 2016-2020
  • Scientific Area
  • Skills Development
Course Type 2011-2015
Specific Foundation / Core
Mode of Delivery
  • Face to face
Digital Course Content
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 Simulation of cardiac and neuron cellular action potential Multidimensional simulation of the electrical function of cardiac muscle and neurons Imaging methods and cardiac modelling Non linear systems and chaos in medicine Macroscopic models and data driven models in medicine
Keywords
simulation, non-linear biological systems, cardiac and neuro multidimensional models, 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
ActivitiesWorkloadECTSIndividualTeamworkErasmus
Lectures521.7
Laboratory Work160.5
Reading Assigment321.1
Project501.7
Written assigments301
Total1806
Student Assessment
Description
a series of 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 Mathematically Modelling the Electrical Activity of the Heart: From Cell to Body Surface and Back Again By (author): Andrew J Pullan (University of Auckland, New Zealand), Leo K Cheng (University of Auckland, New Zealand), Martin L Buist (University of Auckland, New Zealand & National University of Singapore, Singapore) A series of ebooks for data driven modelling Selected papers from published literature, periodically updated
Last Update
22-10-2017