# 101.555 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"});});

2020S, VO, 3.0h, 4.5EC

## Properties

• Semester hours: 3.0
• Credits: 4.5
• Type: VO Lecture

## Learning outcomes

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

• Name the typical tasks of numerical mathematics and discuss the problem.
• Using numerical methods and concepts and being able to adapt them to different situations in simulation technology.
• Conceptually reproduce and analyze the construction of numerical algorithms.
• Able to adapt numerical methods and procedures to given situations.
• Find out various numerical problems and aspects of simulation models and develop an associated solution strategy.
• To discuss the influence of numerical mathematics qualitatively and quantitatively.
• Compare and categorize numerical algorithms and apply them in various situations

## Subject of course

• Calibration of models
• Systems of linear equations
• 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

Lecture on the introduction to the facts and presentation of the concepts and methods, presentation and discussion of the basic algorithms. First introductory examples support the introduction and consolidation and represent the bridge to the tasks in the associated exercises.

## Mode of examination

Oral

Die Lehrveranstaltung wird gegenwärtig durch Distanzlehre abgehalten, Detailinformationen entnehmen Sie bitte dem zugehörigen TUWEL-Kurs.

## Course dates

DayTimeDateLocationDescription
Tue15:00 - 16:0003.03.2020 - 10.03.2020Sem.R. DA grün 03 A - mündl. Prüfungsraum Mathematik VO MMMS
Tue15:00 - 16:0003.03.2020Sem.R. DA grün 03 A - mündl. Prüfungsraum Mathematik Vorbesprechung
Wed14:00 - 17:0004.03.2020 - 11.03.2020FH Hörsaal 2 Vorlesung
Tue15:00 - 16:0021.04.2020 - 30.06.2020 Online (TUWEL Kurs)Online Vorlesung
Wed15:00 - 17:0022.04.2020 - 24.06.2020 Online (TUWEL Kurs)Online Vorlesung
Mathematical Methods of Modelling and Simulation - Single appointments
DayDateTimeLocationDescription
Tue03.03.202015:00 - 16:00Sem.R. DA grün 03 A - mündl. Prüfungsraum Mathematik Vorbesprechung
Tue03.03.202015:00 - 16:00Sem.R. DA grün 03 A - mündl. Prüfungsraum Mathematik VO MMMS
Wed04.03.202014:00 - 17:00FH Hörsaal 2 Vorlesung
Tue10.03.202015:00 - 16:00Sem.R. DA grün 03 A - mündl. Prüfungsraum Mathematik VO MMMS
Wed11.03.202014:00 - 17:00FH Hörsaal 2 Vorlesung
Tue21.04.202015:00 - 16:00 Online (TUWEL Kurs)Online Vorlesung
Wed22.04.202015:00 - 17:00 Online (TUWEL Kurs)Online Vorlesung
Tue28.04.202015:00 - 16:00 Online (TUWEL Kurs)Online Vorlesung
Wed29.04.202015:00 - 17:00 Online (TUWEL Kurs)Online Vorlesung
Tue05.05.202015:00 - 16:00 Online (TUWEL Kurs)Online Vorlesung
Wed06.05.202015:00 - 17:00 Online (TUWEL Kurs)Online Vorlesung
Tue12.05.202015:00 - 16:00 Online (TUWEL Kurs)Online Vorlesung
Wed13.05.202015:00 - 17:00 Online (TUWEL Kurs)Online Vorlesung
Tue19.05.202015:00 - 16:00 Online (TUWEL Kurs)Online Vorlesung
Wed20.05.202015:00 - 17:00 Online (TUWEL Kurs)Online Vorlesung
Tue26.05.202015:00 - 16:00 Online (TUWEL Kurs)Online Vorlesung
Wed27.05.202015:00 - 17:00 Online (TUWEL Kurs)Online Vorlesung
Wed03.06.202015:00 - 17:00 Online (TUWEL Kurs)Online Vorlesung
Tue09.06.202015:00 - 16:00 Online (TUWEL Kurs)Online Vorlesung
Wed10.06.202015:00 - 17:00 Online (TUWEL Kurs)Online Vorlesung

Oral Examo

## Course registration

Begin End Deregistration end
03.03.2020 08:00 02.05.2020 09:00 20.03.2020 08:00

## Literature

No lecture notes are available.

## Previous knowledge

Basic knowledge in analysis, linear algebra and differential equations

German