734334 Modeling of techno-economical processes

Lecture and exercise
Semester hours
Lecturer (assistant)
Riegler, Martin
Offered in
Wintersemester 2022/23
Languages of instruction


In this course, possibilities for modeling technologically relevant problems within industrial manufacturing processes are elaborated. Multivariate correlations that occur within industrial manufacturing processes, impede the usage of simple analytical software packages. Thus, more sophisticated programs are needed for analyzing increasingly complex problems. In especially, tools for modeling and simulation in MATLAB are presented and applied in the exercising units.
Course structure:
- process analysis (plausibility check of technologically relevant correlations and collected data)
- data acquisition
- data management
- evaluating data quality
- considering time lags (static and dynamic simulation of the material flow)
- model calibration (using multivariate statistical approaches)
- model validation
- model application (prediction of technological properties)
- process adaptation and failure detection


Previous knowledge expected

basic knowledge in computing

Objective (expected results of study and acquired competences)

Students are able to evaluate data quality, detect multivariate correlations, consider time lags using material flows and statistically optimize processes with respect to economically relevant factors.
You can find more details like the schedule or information about exams on the course-page in BOKUonline.