Please be advised: Due to system maintenance the access module is not available for changes, Please accept our apologies for any inconvenience.

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.

2021S, SE, 2.0h, 3.0EC

Properties

  • Semester hours: 2.0
  • Credits: 3.0
  • Type: SE Seminar
  • Format: Distance Learning

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 2021 but also during the summer 2021 (by mutual agreement, all virtual meetings).

Formal start date of the course:  15 April 2021

Teaching methods

students work independently on a  topic

Mode of examination

Oral

Additional information


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

Lecturers

Institute

Examination modalities

presentation and slides

Course registration

Not necessary

Curricula

Literature

No lecture notes are available.

Previous knowledge

Discrete-time signal processing

Language

English