Communication Networks and Ambient Intelligence

2018/2019

Content, progress and pedagogy of the module

Learning objectives

Knowledge

  • Must have knowledge about general network models and architectures including the OSI model (MAC, transport, network and application layers) as well as the TCP/IP protocol stack (IP, TCP and UDP protocols).
  • Must have knowledge about selected technologies within Internet of Things (IoT), including wireless sensors, wireless sensor networks and RFID, and their application within IoT.
  • Must have knowledge of simulation tools.
  • Must have knowledge of protocols for unicast, multicast and broadcast.

Skills

  • Must be able to understand the OSI model and the TCP/IP protocol stack at such a level that they are able to model selected data link, network, transport, and application layer protocols.
  • Must be able to monitor and observe traffic from different networks, and to use the observations for creating simple traffic models that can be used for simulations.
  • Must be able to describe and evaluate basic security mechanisms.
  • Must be able to select and compare methods for traffic engineering at data link, network and transport layers: in particular the students must be able to understand how Quality of Service mechanisms are actually implemented through e.g. marking and queuing policies.
  • Must be able to understand the RFID and Sensor networking and protocols at such a level that they are able to model selected parts of such protocols.
  • Must be able to apply relevant methods for designing services and applications based on RFID and wireless sensor networks.

Competences

  • Must be able to compare different network technologies and configurations by selecting and using appropriate methods, including analysis, simulation and experiments.
  • Must have understanding of the scenarios where IoT can be applied, both from technical and business viewpoints, identifying possible new services and applications.
  • Must have understanding of a network’s topology and its topological properties and qualities.

Type of instruction

As described in the introduction to Chapter 3

Exam

Exams

Name of examCommunicatino Networks and Ambient Intelligence
Type of exam
Written or oral exam
ECTS5
AssessmentPassed/Not Passed
Type of gradingInternal examination
Criteria of assessmentAs stated in Joint Programme Regulations
http:/​/​www.en.tech.aau.dk/​education-programmes/​Education+and+Programmes/​

Facts about the module

Danish titleKommunikationsnetværk og omgivende intelligens
Module codeESNNDSK1K1
Module typeCourse
Duration1 semester
SemesterAutumn
ECTS5
Empty-place SchemeYes
Location of the lectureCampus Aalborg
Responsible for the module

Organisation

Study BoardStudy Board of Electronics and IT
FacultyTechnical Faculty of IT and Design