BIOLOGICAL NANONETWORKS

Course Information
TitleΒΙΟΛΟΓΙΚΑ ΝΑΝΟΔΙΚΤΥΑ / BIOLOGICAL NANONETWORKS
CodeNNA-06-08
FacultySciences
SchoolInformatics
Cycle / Level1st / Undergraduate
Teaching PeriodWinter/Spring
CoordinatorKonstantinos Kantelis
CommonNo
StatusActive
Course ID600022890

Programme of Study: PPS-Tmīma Plīroforikīs (2019-sīmera)

Registered students: 142
OrientationAttendance TypeSemesterYearECTS
GENIKĪ KATEUTHYNSĪYPOCΗREŌTIKO KATA EPILOGĪ635
Class Information
Academic Year2024 – 2025
Class PeriodSpring
Faculty Instructors
Weekly Hours3
Total Hours39
Class ID
600259890
Course Type 2021
Specific Foundation
Mode of Delivery
  • Face to face
Digital Course Content
Erasmus
The course is also offered to exchange programme students.
Language of Instruction
  • Greek (Instruction, Examination)
Prerequisites
General Prerequisites
Basic knowledge of Communication Networks.
Learning Outcomes
Cognitive: Understanding of basic principles of the nanonetworks and specifically the biological ones related to the channel, the different methods of data transmission, their operational rules, the differences from the classical networks and the way we study them. Skills: Obtaining a complete view of the area of biological nanonetworks and their future applications, understand the diffusion principles and their related equations and be able to visualize and study different communication algorithms from the classical networks amended for the nanoscale realm with the use of simulation tools. Upon completion, students will be able to act as intermediaries between healthcare professionals and developers in the effort to create Internet of Bio-NanoThings and ΙοΝΤ applications.
General Competences
  • Apply knowledge in practice
  • Retrieve, analyse and synthesise data and information, with the use of necessary technologies
  • Adapt to new situations
  • Make decisions
  • Work autonomously
  • Work in teams
  • Work in an international context
  • Work in an interdisciplinary team
  • Generate new research ideas
  • Design and manage projects
  • Be critical and self-critical
  • Advance free, creative and causative thinking
Course Content (Syllabus)
Introduction to biological nanonetworks with references to the different types of nanonetworks, presentation of biological nanonetworks and the peculiarities of the channel and the different methods of data transmission. Comprehension of the different physical effects of the channel in biological nanonetworks, their operational principles and analysis of the limitations that exist. Presentation of the basic channel access algorithms and visualization of them via simulation and presentation of the different applications of biological nanonetworks and integration to the latest network technologies. Presentation of IoNT (Internet of Nano Things), IoBNT (Internet of Bio-Nano Things), and IoE (Internet of Everything), and how they are connected to Nanonetworks.
Keywords
biological nanonetworks, diffusion, channel memory, networking protocols, simulation, biological applications
Educational Material Types
  • Notes
  • Slide presentations
  • Podcast
  • Interactive excersises
  • 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
Lectures39✓
Laboratory Work13✓✓
Reading Assigment57✓
Project39✓
Exams2✓
Total150
Bibliography
Course Bibliography (Eudoxus)
James Kurose, Keith Ross, Δικτύωση υπολογιστών-Προσέγγιση από Πάνω προς τα Κάτω 8η έκδοση,Γκιούρδας Μ, 2021
Additional bibliography for study
1. Baris Atakan,"Molecular Communications and Nanonetworks: From Nature To Practical Systems",Springer, 2014
Last Update
04-02-2025