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

Lectures: Mondays 1:00−2:30 pm in K 2003A

Seminars: Mondays 5:00−6:30 pm in K 2026

Mailing List for the Course

Please sign-up for the course mailing list using the following link: You can register for the winter semester starting in September of the given year.