# 101.556 Mathematical Methods of Modelling 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"});}); 2025S 2024S 2023S 2022S 2021S 2020S 2019S 2018S 2017S 2016S 2015S 2014S

2024S, UE, 3.0h, 4.5EC

## Properties

• Semester hours: 3.0
• Credits: 4.5
• Type: UE Exercise
• Format: Presence

## Learning outcomes

After successful completion of the course, students are able to:

• Being able to work on the typical tasks of numerical mathematics in practice.
• Using numerical methods and concepts and being able to adapt them to specific questions.
• To carry out the construction of numerical algorithms or to adapt and use existing algorithms.
• Able to adapt numerical methods and procedures to given situations.
• Develop an associated solution strategy to solve numerical problems.
• To determine the influence of numerical algorithms qualitatively and quantitatively.
• Use and compare numerical algorithms in specific tasks.

## Subject of course

• Calibration of models
• Systems of linear equations
• Least squares problem
• Nonlinear systems of equations
• Numerical differentiation
• Ordinary differential equations
• Hybrid models
• Differential algebraic models
• Partial differential equations
• Numerical methods in data modelling

## Teaching methods

The concepts and methods of the lecture are practically examined and specific questions answered on specific tasks. The solutions are evaluated with a “score” function, which records the quality of the elaboration and compares it in the exercise group. In the face-to-face exercise itself, the solutions are presented by the students and questions from the LVA management have to be answered.

## Mode of examination

Immanent

In the context of the attendance hours of the lecture, the exercise sheets will be discussed before elaboration. Detailed information is available in the associated TUWEL course and the preliminary meeting.

## Course dates

DayTimeDateLocationDescription
Wed16:00 - 17:0006.03.2024Sem.R. DA grün 03 A Vorbesprechung
Tue16:00 - 18:0012.03.2024 - 25.06.2024Sem.R. DA grün 03 A UE Mathematische Methoden der Modellbildung und Simulation
Mathematical Methods of Modelling and Simulation - Single appointments
DayDateTimeLocationDescription
Wed06.03.202416:00 - 17:00Sem.R. DA grün 03 A Vorbesprechung
Tue12.03.202416:00 - 18:00Sem.R. DA grün 03 A UE Mathematische Methoden der Modellbildung und Simulation
Tue19.03.202416:00 - 18:00Sem.R. DA grün 03 A UE Mathematische Methoden der Modellbildung und Simulation
Tue09.04.202416:00 - 18:00Sem.R. DA grün 03 A UE Mathematische Methoden der Modellbildung und Simulation
Tue16.04.202416:00 - 18:00Sem.R. DA grün 03 A UE Mathematische Methoden der Modellbildung und Simulation
Tue23.04.202416:00 - 18:00Sem.R. DA grün 03 A UE Mathematische Methoden der Modellbildung und Simulation
Tue30.04.202416:00 - 18:00Sem.R. DA grün 03 A UE Mathematische Methoden der Modellbildung und Simulation
Tue07.05.202416:00 - 18:00Sem.R. DA grün 03 A UE Mathematische Methoden der Modellbildung und Simulation
Tue14.05.202416:00 - 18:00Sem.R. DA grün 03 A UE Mathematische Methoden der Modellbildung und Simulation
Tue28.05.202416:00 - 18:00Sem.R. DA grün 03 A UE Mathematische Methoden der Modellbildung und Simulation
Tue04.06.202416:00 - 18:00Sem.R. DA grün 03 A UE Mathematische Methoden der Modellbildung und Simulation
Tue11.06.202416:00 - 18:00Sem.R. DA grün 03 A UE Mathematische Methoden der Modellbildung und Simulation
Tue25.06.202416:00 - 18:00Sem.R. DA grün 03 A UE Mathematische Methoden der Modellbildung und Simulation

## Examination modalities

Examination immanent course

## Course registration

Begin End Deregistration end
15.02.2024 08:00 17.03.2024 23:59 17.03.2024 23:59

## Curricula

Study CodeObligationSemesterPrecon.Info
066 504 Master programme Embedded Systems Not specified
066 506 Energy Systems and Automation Technology Not specified
066 515 Automation and Robotic Systems Mandatory elective

## Literature

No lecture notes are available.

## Previous knowledge

Basic knowledge in analysis, linear algebra and differential equations

## Miscellaneous

• Attendance Required!

German