389.186 Signal Processing for Big Data
This course is in all assigned curricula part of the STEOP.
This course is in at least 1 assigned curriculum part of the STEOP.

2023S, SE, 2.0h, 3.0EC


  • Semester hours: 2.0
  • Credits: 3.0
  • Type: SE Seminar
  • Format: Online

Learning outcomes

After successful completion of the course, students are able to get familiar with a topic in the field "Signal Processing for Big Data" und to give a talk about the mathematical and technical foundations of the topic.

Subject of course

Students will

  • start on a topic with some introductory references
  • find more advanced literature and identify key papers
  • understand principles, methods and potential applications
  • give presentations (25mins + 5mins discussion); talks & slides in English
  • possibly do some Matlab/C-Programming if required for the topic

Students interested in the seminar are asked to email norbert.goertz@tuwien.ac.at to mutually agree on a topic.

Possible dates for seminar presentations: May and June 2023 but also during the summer 2023 (all by mutual agreement, all virtual meetings via Zoom).

Formal start date of the course:  9 March 2023

Teaching methods

students work independently on a  topic

Mode of examination


Additional information

Please consider the plagiarism guidelines of TU Wien when writing your seminar paper: Directive concerning the handling of plagiarism (PDF)



Examination modalities

presentation and slides

Course registration

Not necessary


Study CodeObligationSemesterPrecon.Info
710 FW Elective Courses - Electrical Engineering Elective


No lecture notes are available.

Previous knowledge

Discrete-time signal processing