COMPUTATIONAL BIOPHYSICS

Course Information
TitleΥΠΟΛΟΓΙΣΤΙΚΗ ΒΙΟΦΥΣΙΚΗ / COMPUTATIONAL BIOPHYSICS
CodeΕΥΦ12
FacultySciences
SchoolPhysics
Cycle / Level2nd / Postgraduate
Teaching PeriodWinter
CommonNo
StatusActive
Course ID40002524
Class Information
Academic Year2018 – 2019
Class PeriodWinter
Faculty Instructors
Weekly Hours3
Class ID
600133569
Course Type 2016-2020
  • Scientific Area
Course Type 2011-2015
Specific Foundation / Core
Mode of Delivery
  • Face to face
Digital Course Content
Language of Instruction
  • Greek (Instruction, Examination)
General Competences
  • Apply knowledge in practice
  • Retrieve, analyse and synthesise data and information, with the use of necessary technologies
  • Work autonomously
  • Work in an interdisciplinary team
  • Generate new research ideas
  • Advance free, creative and causative thinking
Course Content (Syllabus)
1. Biologically inspired computation 2. Biological networks 2. Lotka-Volterra models and Epidemics
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
Description
use of R statistics, Matlab, NetLogo
Course Organization
ActivitiesWorkloadECTSIndividualTeamworkErasmus
Lectures1003.3
Reading Assigment200.7
Project401.3
Written assigments200.7
Exams80.3
Total1886.3
Student Assessment
Student Assessment methods
  • Performance / Staging (Formative, Summative)
  • Report (Formative, Summative)
Last Update
19-07-2018