Course Content

  • Review of Regression and Statistics (1 Week; Chapter 3)
    • Linear and nonlinear regression
    • Model validation
    • Regression analysis
  • Stochastic Modelling or Time Series Analysis (6 Weeks; Chapter 5)
    • Definition of time series and their properties
    • Basic properties of different time series models
    • Parameter estimation for time series models (Yule-Walker equations and maximum likelihood methods)
    • Model validation and prediction using time series models
    • Frequency-based modelling (Fourier transform)
    • State-space-based modelling (Kalman filter)
  • Process Identification (5 Weeks; Chapter 6)
    • Definition of process identification
    • Theoretical analysis of open-loop process identification
    • Practical aspects of open-loop process identification
    • Closed-loop process identification
    • Nonlinear process identification

Course Instructor

Dr. Aouss Gabash

Course Schedule

Winter Semester 2022

The lectures will be in OEC 2007 on Wednesdays from 11:00 am to 12:30 pm and in H 1527 every odd Monday from 11:00 am to 12:30 pm.

Course Notes

The material taught in the class is directly taken from the English textbook. Class notes will not be provided, since the information can be found by looking in the book.

Excel Templates

The English template files can be downloaded from the book website ( The Excel slides for how to use the templates are provided below. The German version of the templates and the corresponding slides are also provided below. Please note that all template files, irrespective of their language, can be used on any Excel language version (the Excel language and template language need not match).

  • Excel Slides (for English Excel and English Templates): Download.
  • Excel Templates and Slides (for German Templates and German Excel, but the slides themselves are written in English): Download


Yuri A.W. Shardt (2015). Statistics for Chemical and Process Engineers: A Modern Approach, Springer International Publishing:  Cham, Switzerland.  ISBN: 978-3-  319-21508-2. doi: 10.1007/978-3-  319-21509-9.


  • Lab Instructor: Aouss Gabash / Christoph Weise
  • Please register for the labs using Important information about how to use the laboratory portal can be found in the linked file.
  • All required information can be found in the above lab portal.
  • The labs start in January 2022 [if possible].
  • Please contact the lab instructor for any questions regarding the labs.