Physiological modelling

Course Information
TitleΜοντελοποίηση φυσιολογικών συστημάτων / Physiological modelling
CodeMEI008
FacultyHealth Sciences
SchoolMedicine
Cycle / Level2nd / Postgraduate
Teaching PeriodSpring
CoordinatorDimitrios Filos
CommonNo
StatusActive
Course ID600021934

Programme of Study: PMS "Iatrikī Mīchanikī kai Plīroforikī" (2022-sīmera)

Registered students: 8
OrientationAttendance TypeSemesterYearECTS
KORMOSCompulsory Course215
Class Information
Academic Year2024 – 2025
Class PeriodSpring
Faculty Instructors
Instructors from Other Categories
Weekly Hours3
Total Hours39
Class ID
600265090
Course Type 2021
General Foundation
Mode of Delivery
  • Face to face
Digital Course Content
Language of Instruction
  • English (Instruction, Examination)
Prerequisites
General Prerequisites
Basic programming knowledge.
Learning Outcomes
The students are expected to, within the framework of the course, (1) understand the basic principles of computational modeling, (2) connect theory with practice through the application of computational experiments, (3) be able to adapt electrophysiological models to pathophysiological conditions in order to perform simulations at both microscopic and macroscopic levels, (4) comprehend the mechanisms of function and pathology of the human body systems.
General Competences
  • Apply knowledge in practice
  • Retrieve, analyse and synthesise data and information, with the use of necessary technologies
  • Work in teams
  • Work in an international context
  • Generate new research ideas
  • Be critical and self-critical
Course Content (Syllabus)
Introduction to modeling theory System modeling methods cardiac electrophysιology - cell models and propagation Cardiac models/ practical experience cardiac conduction model (hand on experience) In silico modeling of cardiac electrophysiology cardiac conduction model / chaste cell+ 1D example / 2D example In Silico Modelling and clinical applications / practical experience Introduction to Biological modelling and bioinformatics approaches biological processes - metabolomics & systems biology
Keywords
simulation, non-linear biological systems, cardiac models
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
  • Use of ICT in Communication with Students
  • Use of ICT in Student Assessment
Course Organization
ActivitiesWorkloadECTSIndividualTeamworkErasmus
Lectures451.8
Laboratory Work150.6
Reading Assigment150.6
Project301.2
Written assigments200.8
Total1255
Student Assessment
Description
It is based on the combination of laboratory exercises during the semester (30% of the final grade) and the project presented at the end of the semester (70%).
Student Assessment methods
  • 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
25-05-2023