194.056 Advanced Modeling and Simulation
This course is in all assigned curricula part of the STEOP.
This course is in at least 1 assigned curriculum part of the STEOP.

2019S, VU, 2.0h, 3.0EC

Properties

  • Semester hours: 2.0
  • Credits: 3.0
  • Type: VU Lecture and Exercise

Aim of course

After successful participation students should be able to solve given problems using computer simulation. That includes:

  • Development of a suitable model using a chosen modeling approach
  • Acquire and pre-process necessary data and parametrise a model with them.
  • Define reasonable simulation experiments and preform them in a reproducible way.
  • Interpret and visualise the simulation output and use it for decision support.

Subject of course

The lecture will deal with all challenges of modeling and simulation that occur when applying the methods presented in 101.732 Modeling and Simulation.

This includes:

  • Data acquisition and (pre-) processing as well as necessary statistical methods
  • Parametrisation methods for models focusing on model-calibration
  • Reproducibility of simulation experiments, generation of (pseudo-) random numbers
  • Interpretation and visualisation of simulation output, validation and verification

Additional information

The preliminary discussion on the VU will take place on 05.03.2019, 12:00-13:00 ct followed by an introductory lecture 13:00-13:45 in FH HS7. Thereafter, the lecture will always take place on Tuesday at the same time.

The modules are partly frontal lecture, some of them also contain practical parts with hands-on programming. They prepare for a final group work in which you will solve a predefined problem using modeling and simulation. You will be asked to present the results of your work in the context of the last VU unit in June.

We expect the following expenditure of time:

21.0h   Lecture-/Exercise- units (14 x 1.5h)
  1.0h   Project release
50.0h   Project work including meetings with your supervisor
  2.5h   Preparation for project presentation
  1.5h   Project presentation
------------------------
75.0h  = 3 ECTS

Apart from units related with the project work, there is no compulsory attendance in the lecture hall. Yet, we ask you to comply with the LVA registration period.

The lecture will be administered in TUWEL.

Lecturers

Institute

Course dates

DayTimeDateLocationDescription
Tue12:00 - 14:0005.03.2019 - 25.06.2019FH Hörsaal 7 194.056 VU Advanced Modeling and Simulation
Advanced Modeling and Simulation - Single appointments
DayDateTimeLocationDescription
Tue05.03.201912:00 - 14:00FH Hörsaal 7 194.056 VU Advanced Modeling and Simulation
Tue12.03.201912:00 - 14:00FH Hörsaal 7 194.056 VU Advanced Modeling and Simulation
Tue19.03.201912:00 - 14:00FH Hörsaal 7 194.056 VU Advanced Modeling and Simulation
Tue26.03.201912:00 - 14:00FH Hörsaal 7 194.056 VU Advanced Modeling and Simulation
Tue02.04.201912:00 - 14:00FH Hörsaal 7 194.056 VU Advanced Modeling and Simulation
Tue09.04.201912:00 - 14:00FH Hörsaal 7 194.056 VU Advanced Modeling and Simulation
Tue30.04.201912:00 - 14:00FH Hörsaal 7 194.056 VU Advanced Modeling and Simulation
Tue07.05.201912:00 - 14:00FH Hörsaal 7 194.056 VU Advanced Modeling and Simulation
Tue14.05.201912:00 - 14:00FH Hörsaal 7 194.056 VU Advanced Modeling and Simulation
Tue21.05.201912:00 - 14:00FH Hörsaal 7 194.056 VU Advanced Modeling and Simulation
Tue28.05.201912:00 - 14:00FH Hörsaal 7 194.056 VU Advanced Modeling and Simulation
Tue04.06.201912:00 - 14:00FH Hörsaal 7 194.056 VU Advanced Modeling and Simulation
Tue18.06.201912:00 - 14:00FH Hörsaal 7 194.056 VU Advanced Modeling and Simulation
Tue25.06.201912:00 - 14:00FH Hörsaal 7 194.056 VU Advanced Modeling and Simulation

Examination modalities

In order to pass the lecture, students have to collaborate on a projects in groups of up to four persons.

Course registration

Not necessary

Curricula

Study CodeSemesterPrecon.Info
066 926 Business Informatics

Literature

No lecture notes are available.

Previous knowledge

The VU is planned to extend 101.732 Modeling and Simulation, but this is not mandatory. Yet, basic knowledge about typical modelling approaches (System Dynamics, Discrete Event Simulation, Agent-Based Modeling) are expected.

 

Language

English