- Balance equations
- Algebraic systems
- Differential equations
- Simulation of ODEs
- Flow sheet simulation
- Linear and nonlinear optimization
- Mixed integer optimization
- Pareto optimization
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) |
Basedata
CP, Effort | 3.0 CP = 90 h |
---|---|
Position of the semester | 1 Sem. in WiSe |
Level | [4] Bachelor (Specialization) |
Language | [DE] German |
Module Manager | |
Lecturers | |
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 |
Courses
Type/SWS | Course Number | Title | Choice in Module-Part | Presence-Time / Self-Study | 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.
Contents
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
Requirements for attendance (informal)
Modules:
- [MAT-00-01-M-1] Higher Mathematics I (M, 8.0 LP)
- [MAT-00-02-M-1] Higher Mathematics II (M, 8.0 LP)
- [MAT-00-03A-M-1] Higher Mathematics: Vector Analysis and Differential Equations (for Engineering Students) (M, 8.0 LP)
- [MV-TD-18-M-4] Thermodynamics I (M, 5.0 LP)
Requirements for attendance (formal)
None
References to Module / Module Number [MV-TD-298-M-4]
Course of Study | Section | Choice/Obligation |
---|---|---|
[EIT-88.?-SG#2021] M.Sc. Automation and Control (A&C) [2021] | Elective Modules | [W] Elective Module |
[MV-88.A29-SG] M.Sc. Biological and Chemical Engineering | Studienschwerpunkt II | [WP] Compulsory Elective |
Module-Pool | Name | |
[MV-ALL-MPOOL-6] | Wahlpflichtmodule allgemein | |
[MV-BioVT-MPOOL-6] | Wahlpflichtmodule Bioverfahrenstechnik | |
[MV-CE-MPOOL-6] | Wahlpflichtmodule Computational Engineering | |
[MV-EVT-MPOOL-6] | Wahlplichtmodule Energie- und Verfahrenstechnik |
Notes on the module handbook of the department Mechanical and Process Engineering
Ausnahmen: