384.171 Sensor Networks
This course is in all assigned curricula part of the STEOP.
This course is in at least 1 assigned curriculum part of the STEOP.

2022W, PR, 4.0h, 6.0EC

Properties

  • Semester hours: 4.0
  • Credits: 6.0
  • Type: PR Project
  • Format: Hybrid

Learning outcomes

After successful completion of the course, students are able to...

...apply theoretical knowledge on industrial communication and sensor networks in practice.

...contribute to ongoing research projects.

...collaborate in a research team.

Subject of course

The course deals with current topics from ongoing research projects related to distributed systems in various application domains such as industrial and buildilding automation, smart grids, traffic or environmental monitoring. The work topics will be presented at the begin of the course and amended during the semester if needed.

Teaching methods

Project work including specification, requirements analysis, implementation (hardware and/or programming).

The work can be accomplished with free timing in agreement with the supervisor (also during the summer break). There are regular meetings with the supervisor and with the audience (1x a month).

Mode of examination

Immanent

Lecturers

Institute

Course dates

DayTimeDateLocationDescription
Wed12:00 - 13:0012.10.2022Seminarraum 384 Vorbesprechung
Thu13:00 - 14:3003.11.2022 CB0302 https://tuw-maps.tuwien.ac.at/?q=CB0302Jourfix - Meeting
Thu13:00 - 14:3001.12.2022 CB0302 https://tuw-maps.tuwien.ac.at/?q=CB0302Jourfix - Meeting
Thu13:00 - 14:3012.01.2023 CB0302 https://tuw-maps.tuwien.ac.at/?q=CB0302Jourfix - Meeting
Thu13:00 - 14:3023.02.2023 CB0302 https://tuw-maps.tuwien.ac.at/?q=CB0302Jourfix - Meeting

Examination modalities

Depending on the actual work task submission and presentation of a hardware/software implementation, a documentation or written work.

Course registration

Not necessary

Curricula

Study CodeObligationSemesterPrecon.Info
066 504 Master programme Embedded Systems Not specified
066 515 Automation and Robotic Systems Mandatory elective

Literature

No lecture notes are available.

Accompanying courses

Language

German