Course Content

Topics include:

  • Diagnosis and prediction
  • Diagnostic strategies and concepts
  • Classification/ model reference/ knowledge-based procedures
  • Forecasting strategies and concepts
  • Predictability
  • Prediction with signal and system models for linear and nonlinear processes
  • Applications
  • Tools

Course Instructor

Prof. Thomas Rauschenbach

Course Schedule

Winter Semerster: Mon. 13:00-14:30 in Sr K 2077

Course Notes

Course Notes (in German)