141.A89 Techniques of signal detection and analysis
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, UE, 2.0h, 2.0EC
TUWEL

Properties

  • Semester hours: 2.0
  • Credits: 2.0
  • Type: UE Exercise
  • Format: Online

Learning outcomes

After successful completion of the course, students are able to use Linux in practice, to simulate electronic circuits illustrating the whole signal chain from the detector to signal processing and further processing, to code micro processors for basic data acquisition, to analyse data and to graphically display these with existing frameworks, to compare measured data to simulated data as well as to evaluate the relevance of Monte Carlo simulations for experiment planing.

Subject of course

  1. Introduction to Linux
  2. Simulation of elektronic circuits with Spice
  3. Microprocessor programming with Arduino
  4. Data analysis / simulation

Teaching methods

  • Introduction to the required software
  • Solving of basic problems

Mode of examination

Immanent

Additional information


Lecturers

Institute

Course dates

DayTimeDateLocationDescription
Thu11:00 - 13:0009.03.2023Sem.R. DB gelb 05 A Vorbesprechung
Thu14:00 - 16:0030.03.2023 - 22.06.2023 Zoom (LIVE)Exercise
Techniques of signal detection and analysis - Single appointments
DayDateTimeLocationDescription
Thu09.03.202311:00 - 13:00Sem.R. DB gelb 05 A Vorbesprechung
Thu30.03.202314:00 - 16:00 ZoomExercise
Thu20.04.202314:00 - 16:00 ZoomExercise
Thu27.04.202314:00 - 16:00 ZoomExercise
Thu04.05.202314:00 - 16:00 ZoomExercise
Thu11.05.202314:00 - 16:00 ZoomExercise
Thu25.05.202314:00 - 16:00 ZoomExercise
Thu15.06.202314:00 - 16:00 ZoomExercise
Thu22.06.202314:00 - 16:00 ZoomExercise

Examination modalities

Solution of problems and writing of a protocol

Course registration

Begin End Deregistration end
09.03.2023 08:00 17.03.2023 23:59

Curricula

Study CodeObligationSemesterPrecon.Info
066 460 Physical Energy and Measurement Engineering Mandatory elective

Literature

No lecture notes are available.

Accompanying courses

Miscellaneous

  • Attendance Required!

Language

German