Module Handbook

  • Dynamischer Default-Fachbereich geändert auf MV

Notes on the module handbook of the department Mechanical and Process Engineering

Die hier dargestellten veröffentlichten Studiengang-, Modul- und Kursdaten des Fachbereichs Maschinenbau und Verfahrenstechnik ersetzen die Modulbeschreibungen im KIS und wuden mit Ausnahme folgender Studiengänge am 28.10.2020, bzw. am 13.01.2021 verabschiedet.


Module MV-TD-298-M-4

Modeling, simulation and optimization in process engineering (M, 3.0 LP)

Module Identification

Module Number Module Name CP (Effort)
MV-TD-298-M-4 Modeling, simulation and optimization in process engineering 3.0 CP (90 h)


CP, Effort 3.0 CP = 90 h
Position of the semester 1 Sem. in WiSe
Level [4] Bachelor (Specialization)
Language [DE] German
Module Manager
Area of study [MV-LTD] Engineering Thermodynamics
Reference course of study [MV-88.B10-SG] M.Sc. Energy and Process Engineering
Livecycle-State [NORM] Active


Type/SWS Course Number Title Choice in
Presence-Time /
SL SL is
required for exa.
PL CP Sem.
1V+1U MV-TD-86062-K-4
Modeling, simulation and optimization in process engineering
P 28 h 62 h - - PL1 3.0 WiSe
  • About [MV-TD-86062-K-4]: Title: "Modeling, simulation and optimization in process engineering"; Presence-Time: 28 h; Self-Study: 62 h

Examination achievement PL1

  • Form of examination: oral examination (60 Min.)
  • Examination Frequency: each semester
  • Examination number: 10062 ("Modeling, simulation and optimization in process engineering")

Evaluation of grades

The grade of the module examination is also the module grade.


  • Balance equations
  • Algebraic systems
  • Differential equations
  • Simulation of ODEs
  • Flow sheet simulation
  • Linear and nonlinear optimization
  • Mixed integer optimization
  • Pareto optimization

Competencies / intended learning achievements

1. Lecture

Students will be able to

  • compare modeling, simulation and optimization
  • enumerate basic principles of modeling
  • explain simulation techniques
  • identify optimization problems and explain optimization approaches

2. Exercise:

Students will be able to

  • apply the methods discussed in the lecture independently
  • describe process engineering problems with models and implement them in suitable software
  • implement problem specific simulation techniques
  • implement and solve optimization problems
  • solve problems independently and in teamwork
  • present and discuss results in small groups

References to Module / Module Number [MV-TD-298-M-4]

Course of Study Section Choice/Obligation
[MV-88.A29-SG] M.Sc. Biological and Chemical Engineering [Compulsory Modules] Studienschwerpunkt II [WP] Compulsory Elective
Module-Pool Name
[EIT-AC-MSC-TW-MPOOL-7] General Elective Modules Master A&C
[MV-ALLG-2022-MPOOL-6] Wahlpflichtmodule Master allgemein 2022
[MV-ALL-MPOOL-6] Wahlpflichtmodule allgemein
[MV-BioVT-MPOOL-6] Wahlpflichtmodule Bioverfahrenstechnik
[MV-CE-2022-MPOOL-6] Wahlpflichtmodule M.Sc. Computational Engineering 2022
[MV-CE-MPOOL-6] Wahlpflichtmodule Computational Engineering
[MV-EVT-2022-MPOOL-4] Wahlpflichtmodule B.Sc. EVT 2022
[MV-EVT-2022-MPOOL-6] Wahlpflichtmodule M.Sc. EVT 2022
[MV-EVT-MPOOL-6] Wahlplichtmodule Energie- und Verfahrenstechnik