Module CS5161-KP04

Nano communication networks (NanoNet)


Duration

1 Semester

Turnus of offer

each winter semester

Credit points

4

Course of studies, specific fields and terms:

  • Master Medical Informatics 2019, optional subject, ehealth / infomatics
  • Master Media Informatics 2020, optional subject, computer science

Classes and lectures:

  • Nano communication networks (project work, 1 SWS)
  • Nano communication networks (lecture, 2 SWS)

Workload:

  • 45 hours in-classroom work
  • 45 hours private studies
  • 15 hours exam preparation
  • 15 hours work on project

Contents of teaching:

  • Networks und protocols
  • Self-assembly systems
  • Reductions and compilation
  • Definitions & associations of nanonetworks
  • Simulation tools for nanonetworks
  • Deployment in medical application scenarios

Qualification-goals/Competencies:

  • Students know and understand the basic concepts of nanonetworks.
  • Students know how to use advanced modeling techniques.
  • Students know th basic concepts of nanoscale computational models.
  • Students know the concepts of reductions and can apply it to nanoscale algorithms.
  • Students know and understand self-assembly systems and crystal formation.
  • Students know and understand the constraints and peculiarities at the nanoscale.
  • Students posess in-depth understanding of network structures and topologies of nanonetworks
  • Students know how to verify or falsify a model using simulation tools.
  • Interdisciplinary aspects:
  • Students have elementary modeling skills.
  • Students can transfer basic theoretical concepts to related questions.
  • Students can understand and implement various algorithms and transfer the knowledge they have acquired to other subjects.
  • Students can work on simple tasks in a team.

Grading through:

  • Oral examination

Responsible for this module:

Language:

  • English, except in case of only German-speaking participants

Notes:

Prerequisites for attending the module:
- None

Prerequisites for the exam:
- Successful completion of homework assignments during the semester.

Last Updated:

26.08.2025