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"});}); 2024S 2023S 2022S 2021S 2020S 2019S 2018S 2017S 2016S 2015S 2014S

2024S, VO, 3.0h, 4.5EC

Properties

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

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
• 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

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

The course will be delivered by hybrid teaching, i.e. the lecture will be partially mapped by videos and on-site meetings. 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
Wed16:00 - 18:0013.03.2024 - 26.06.2024Sem.R. DA grün 03 A VO 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
Wed13.03.202416:00 - 18:00Sem.R. DA grün 03 A VO Mathematische Methoden der Modellbildung und Simulation
Wed20.03.202416:00 - 18:00Sem.R. DA grün 03 A VO Mathematische Methoden der Modellbildung und Simulation
Wed10.04.202416:00 - 18:00Sem.R. DA grün 03 A VO Mathematische Methoden der Modellbildung und Simulation
Wed17.04.202416:00 - 18:00Sem.R. DA grün 03 A VO Mathematische Methoden der Modellbildung und Simulation
Wed24.04.202416:00 - 18:00Sem.R. DA grün 03 A VO Mathematische Methoden der Modellbildung und Simulation
Wed08.05.202416:00 - 18:00Sem.R. DA grün 03 A VO Mathematische Methoden der Modellbildung und Simulation
Wed15.05.202416:00 - 18:00Sem.R. DA grün 03 A VO Mathematische Methoden der Modellbildung und Simulation
Wed22.05.202416:00 - 18:00Sem.R. DA grün 03 A VO Mathematische Methoden der Modellbildung und Simulation
Wed29.05.202416:00 - 18:00Sem.R. DA grün 03 A VO Mathematische Methoden der Modellbildung und Simulation
Wed05.06.202416:00 - 18:00Sem.R. DA grün 03 A VO Mathematische Methoden der Modellbildung und Simulation
Wed12.06.202416:00 - 18:00Sem.R. DA grün 03 A VO Mathematische Methoden der Modellbildung und Simulation
Wed19.06.202416:00 - 18:00Sem.R. DA grün 03 A VO Mathematische Methoden der Modellbildung und Simulation
Wed26.06.202416:00 - 18:00Sem.R. DA grün 03 A VO Mathematische Methoden der Modellbildung und Simulation

Oral Exam

Not necessary

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

German