Smart Products & Solutions PT
Apply Icon
Apply
now

Model Based Analytics

level of course unit

second cycle, Master

Learning outcomes of course unit

Students:
• know the content, results/uses and operating methods of model based advanced analytics
• are able to develop a model for a technical system, to calibrate this model and to generate condition information using software tools

prerequisites and co-requisites

According admission requirements

course contents

• Introduction (areas of application, uses, concept)
• Process for deriving a formal framework using a model
• Models and simulations.
• Development of models, simulation and calibration
• Determining/diagnosing status, predictive diagnosis
• Implementation/application
• Analysis of case studies
• Application of knowledge acquired to a learning project

recommended or required reading

• Camach, Alba (2009): Model Predictive Control, Springer London
• Dittmar, Pfeiffer (2004): Modellbasierte prädiktive Regelung: Eine Einführung für Ingenieure, Oldenbourg Verlag München

assessment methods and criteria

Written examination and project documentation

language of instruction

German

number of ECTS credits allocated

2.5

planned learning activities and teaching methods

Integrated course

semester/trimester when the course unit is delivered

2

name of lecturer(s)

Director of studies

year of study

1. study year

recommended optional program components

not applicable

course unit code

not applicable

type of course unit

compulsory

mode of delivery

Integrierte Lehrveranstaltung

work placement(s)

not applicable