Module CS4518-KP12

Current and Future Network Technologies (AzuNet)


Duration

2 Semester

Turnus of offer

each semester

Credit points

12

Course of studies, specific fields and terms:

  • Master Computer Science 2019, optional subject, advanced module
  • Master IT-Security 2019, optional subject, Elective Computer Science
  • Master Entrepreneurship in Digital Technologies 2020, optional subject, specific

Classes and lectures:

  • Advanced Internet Technologies (lecture, 2 SWS)
  • Advanced Internet Technologies (exercise, 1 SWS)
  • Nano communication networks (lecture, 2 SWS)
  • Seminar Internet of Things or Seminar Nano communication networks (seminar, 2 SWS)
  • Nano communication networks (project work, 1 SWS)

Workload:

  • 15 hours work on project
  • 30 hours work on an individual topic with written and oral presentation
  • 45 hours exam preparation
  • 165 hours private studies
  • 105 hours in-classroom work

Contents of teaching:

  • Internet-Architektur, Border Gateway Protocol (BGP), Multi-Protocol Lable Switching (MPLS)
  • Software-Defined Networking (SDN): Rationale, OpenFlow, P4
  • Transport Layer: QUIC, HTTP3, MQTT, IoT
  • Specialized Network Architectures: Named-Data Networking (NDN), LoRaWAN, Delay-Tolerant Networking (DTN)
  • Future topics: security, future of the Internet
  • Self-assembly systems
  • Reductions and compilation
  • Definitions & associations of nanonetworks
  • Simulation tools for nanonetworks
  • Deployment of nanonetworks in medical application scenarios

Qualification-goals/Competencies:

  • Students understand the fundamental design decisions that led to the development of Internet protocols.
  • They are familiar with basic, generally applicable criteria for network design (end-to-end argument, fate sharing, etc.).
  • They can explain and apply current routing methods such as BGP, MPLS, and SDN in detail.
  • They can explain the differences between modern transport protocols such as QUIC, HTTP, and MQTT and their predecessors, describe the protocols, and use them in their application contexts.
  • They are familiar with the basic principles of current specialized network technologies such as NDN, LoRaWAN, and DTN and know when and how to use them.
  • They have a clear idea of the development paths the Internet may follow in the future.
  • They can design, implement and test basic IoT applications.
  • They can efficiently collect, analyze and interpret data from IoT systems.
  • They can deal with real-world use cases and be able to develop solutions for specific industries.
  • They recognize the current trends and future developments in the IoT area and can evaluate them critically.
  • Students know and understand the basic concepts of nanonetworks.
  • Students know the basic concepts of nanoscale computational models.
  • Students know and understand self-assembly systems and crystal formation.
  • Students know and understand the constraints and peculiarities at the nanoscale.
  • Students know how to verify or falsify a model using simulation tools.
  • Students can transfer basic theoretical concepts to related questions.

Grading through:

  • Oral examination

Responsible for this module:

Language:

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

Notes:

Admission requirements for taking the module:
- None

Admission requirements for participation in module examination(s):
- Successful participation in the seminar

Module Exam(s):
- CS4518-L1: Current and Future Network Technologies, oral exam, 100% of module grade.

Last Updated:

26.08.2025