# 194.076 Modeling and Simulation This course is in all assigned curricula part of the STEOP.\$(function(){PrimeFaces.cw("Tooltip","widget_j_id_21",{id:"j_id_21",showEffect:"fade",hideEffect:"fade",target:"isAllSteop"});});This course is in at least 1 assigned curriculum part of the STEOP.\$(function(){PrimeFaces.cw("Tooltip","widget_j_id_23",{id:"j_id_23",showEffect:"fade",hideEffect:"fade",target:"isAnySteop"});}); 2024W 2023W 2022W 2021W 2020W 2019W

2023W, VU, 2.0h, 3.0EC

## Properties

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

## Learning outcomes

After successful completion of the course, students are able to independently perform a typical, simplified modelling and simulation experiment for a given research problem. This goal implies:

• Students understand the principals of modelling and simulation and are able to describe the involved standard-process.
• Students are able to distinguish and classify different modelling methods and are able to name their typical fields of application.
• Students are able to apply the modelling methods explained in the lecture to abstract given real systems and, furthermore, develop and analyse conceptional models.
• Students are able to implement conceptional models in certain simulators and are able to perform simulations with them.

## Subject of course

The lecture gives a broad introduction to modeling and simulation studies sketching all steps from formulation of the research question, system-abstraction, conceptional modeling, implementation, until experiment design, experiment execution and result interpretation.

Core part of this lecture is a broad overview over different modelling methods. We will focus on: system dynamics, difference-equations, discrete-event simulation, cellular automata and agent-based modelling. With respect to implementation we will take a close look on the simulator Anylogic. Yet, we will also explain how standard programming languages like MATLAB and Python are used to implement simulation models.

## Teaching methods

• Partially in-person, partially online Lectures with regular in-person discussion
• Presentation of case studies
• Hands-on programming
• Supervised project work in teams

## Mode of examination

Immanent

The preliminary discussion on the VU will take place on Thursday, 03.10.2023, 4pm to 5 pm (c.t.) in lecture room FH 8 Nöbauer HS. Thereafter, the lecture will always take place on Thursday 3pm to 5 pm in lecture room FH Hörsaal 5.

We expect the following expenditure of time:

0.5h   Preliminary
18.5h   VU units (11 x 1.5h, 2 x 1.0h)
0.5h   Project release
35.0h   Project work including meetings with your supervisor
15.0h   Preparation test
1.0h   Test
3.0h   Preparation for project presentation
1.5h   Project presentation
------------------------
75.0h  = 3 ECTS

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

The lecture will be administered in TUWEL.

## Examination modalities

Grades are given according to the student's performance in three criteria (a-c):

• a lecture test (a), to assess theoretical knowledge, and
• a supervised project work in teams and (b) final presentation and (c) documentation of the work, to assess practical knowledge.

## Course registration

Begin End Deregistration end
27.07.2023 00:00 27.10.2023 00:59 27.10.2023 00:59

## Literature

No lecture notes are available.

## Previous knowledge

A basic university-level mathematics training is recommended.

English