Placeholder image for Signals and Systems (SAPS)

Signals and Systems (SAPS), Certificate

  • Application Deadline
  • 3 months
University rank #140 (WUR) Ulm, Germany
The concepts of signals and systems are powerful tools for any engineer dealing with information bearing, measurable physical quantitites. Areas of applications on the Signals and Systems (SAPS) programme from Ulm University, School of Advanced Professional Studies, include, among others, communications engineering, signal processing, control engineering, and systems engineering.
Access all 180000+ programmes, for free with a Studyportals account.
account benefits visualised


Learning aims of the Signals and Systems (SAPS) programme from Ulm University, School of Advanced Professional Studies

  • The students will be able to classify, interpret, and compare signals and systems with respect to their characteristic properties. They can explain and apply analytical and numerical methods to analyze and synthesize signals and systems in time and frequency domain. Suitable signal transformations can be chosen and calculated with the help of transformation tables.
  • The students are able to recognize stochastic signals and analyze them based on their characteristic properties. They can calculate and interpret the influence of linear time-invariant systems on stochastic signals.

Learning setting

The online part of the study programme takes place in self studies and in form of group work. For the self study part video lectures with detailed information about the contents and an elaborated script is offered. The script is developed especially for extra-occupational learners in regard to the didactic concept of Ulm University. It contains learning stopps, multiple and single choice tests, quizzes, exercises, etc. Lecture notes and further materials and forums are available in a modern web-based e-learning environment.

Detailed Programme Facts

  • Programme intensity Part-time
    • Average part-time duration 3 months
    • Duration description

      1 semester

  • Credits
    6 ECTS
  • Languages
    • English
  • Delivery mode

Programme Structure

Contents of the module
  • basic properties of discrete-time and continuous-time systems
  • z-transformation
  • linear time-invariant systems, convolution integral
  • Fourier transformation, discrete Fourier transformation, Fourier series
  • sampling theorem
  • probability theory, random variables and stochastic processes
  • stochastic signals and linear time-invariant systems

English Language Requirements

This programme may require students to demonstrate proficiency in English.

General Requirements

  • Requirement is a first graduate degree.
  • Contentual: Solid knowledge of advanced mathematics at least on the level of a bachelor’s degree in engineering is required. Especially the following topics are very important:
  • Linear algebra 
  • Analysis (series, functions, derivatives, integrals, complex numbers)

Tuition Fee

  • International

    1170 EUR/full
    Tuition Fee
    Based on the original amount of 1170 EUR for the full programme and a duration of 3 months.
  • EU/EEA

    1170 EUR/full
    Tuition Fee
    Based on the original amount of 1170 EUR for the full programme and a duration of 3 months.
We've labeled the tuition fee that applies to you because we think you are from and prefer over other currencies.
  • Participation fee for certificate course: 1170 Euro
  • Fee after matriculation: 990 Euro

Living costs for Ulm

  • 730 - 1100 EUR/month
    Living Costs

The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.


Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.


You’ve wishlisted multiple studies. Did you know you can compare them side-by-side in our Compare-tool?

Go to your profile page to get personalised recommendations!