Vorlesung + Übung: Structural Optimization - Details

General information

Course name	Vorlesung + Übung: Structural Optimization
Course number	MRM-0156
Semester	SS 2025
Current number of participants	32
Home institute	Juniorprofessur für Data-driven Product Engineering and Design
participating institutes	Institut für Materials Resource Management
Courses type	Vorlesung + Übung in category Teaching
Next date	Friday, 02.05.2025 08:15 - 09:45, Room: (W-1020)
Veranstaltung findet in Präsenz statt / hat Präsenz-Bestandteile	Yes
Hauptunterrichtssprache	englisch

Lecturers

• Prof. Dr.-Ing. Nils Meyer

Tutor

• Julian Greif

Rooms and times

(W-1024)

Thursday: 14:00 - 15:30, weekly (11x)

(W-1020)

Friday: 08:15 - 09:45, weekly (14x)

Fields of study

• Mathematisch-Naturwissenschaftlich-Technische Fakultät > Institut für Materials Resource Management

Module assignments

• Austauschstudium - MNTF Austauschstudium MNTF, 6. Version valid from SS 2025 > Mathematisch-Naturwissenschaftlich-Technische Fakultät - Master Level > MRM-0156 - Structural optimization > Exercise to Structural optimization
• Materials Science and Engineering Master Materials Science and Engineering, 6. Version valid from SS 2025 > 5 Additional Elective > MRM-0156 - Structural optimization > Exercise to Structural optimization
• Austauschstudium - MNTF Austauschstudium MNTF, 5. Version valid from WS 2024/25 > Mathematisch-Naturwissenschaftlich-Technische Fakultät - Master Level > MRM-0156 - Structural optimization > Exercise to Structural optimization
• Materials Science and Engineering Master Materials Science and Engineering, 5. Version valid from WS 2024/25 > 5 Additional Elective > MRM-0156 - Structural optimization > Exercise to Structural optimization
• Materials Science and Engineering Master Materials Science and Engineering, 5. Version valid from WS 2024/25 > FMI 3 Digital Materials and Technologies > MRM-0156 - Structural optimization > Exercise to Structural optimization
• Wirtschaftsingenieurwesen Master Wirtschaftsingenieurwesen, 20. Version valid from SS 2025 > Modulgruppe D: Major Materials Engineering > MRM-0156 - Structural optimization > Exercise to Structural optimization
• Materials Science and Engineering Master Materials Science and Engineering, 6. Version valid from SS 2025 > 3 Digital Materials and Technologies > MRM-0156 - Structural optimization > Exercise to Structural optimization
• Wirtschaftsingenieurwesen Master Wirtschaftsingenieurwesen, 19. Version valid from WS 2024/25 > Modulgruppe D: Major Materials Engineering > MRM-0156 - Structural optimization > Exercise to Structural optimization
• Materials Science Master Program Materials Science (PO 2016), 16. Version valid from WS 2024/25 > 4 Materials Science - Major Topic - Engineering of Materials > MRM-0156 - Structural optimization > Exercise to Structural optimization
• Materials Science and Engineering Master Materials Science and Engineering, 6. Version valid from SS 2025 > FMI 3 Digital Materials and Technologies > MRM-0156 - Structural optimization > Exercise to Structural optimization
• Materials Science and Engineering Master Materials Science and Engineering, 5. Version valid from WS 2024/25 > 3 Digital Materials and Technologies > MRM-0156 - Structural optimization > Exercise to Structural optimization
• Austauschstudium - MNTF Austauschstudium MNTF, 6. Version valid from SS 2025 > Mathematisch-Naturwissenschaftlich-Technische Fakultät - Master Level > MRM-0156 - Structural optimization > Structural optimization
• Materials Science and Engineering Master Materials Science and Engineering, 6. Version valid from SS 2025 > 5 Additional Elective > MRM-0156 - Structural optimization > Structural optimization
• Austauschstudium - MNTF Austauschstudium MNTF, 5. Version valid from WS 2024/25 > Mathematisch-Naturwissenschaftlich-Technische Fakultät - Master Level > MRM-0156 - Structural optimization > Structural optimization
• Materials Science and Engineering Master Materials Science and Engineering, 5. Version valid from WS 2024/25 > 5 Additional Elective > MRM-0156 - Structural optimization > Structural optimization
• Materials Science and Engineering Master Materials Science and Engineering, 5. Version valid from WS 2024/25 > FMI 3 Digital Materials and Technologies > MRM-0156 - Structural optimization > Structural optimization
• Wirtschaftsingenieurwesen Master Wirtschaftsingenieurwesen, 20. Version valid from SS 2025 > Modulgruppe D: Major Materials Engineering > MRM-0156 - Structural optimization > Structural optimization
• Materials Science and Engineering Master Materials Science and Engineering, 6. Version valid from SS 2025 > 3 Digital Materials and Technologies > MRM-0156 - Structural optimization > Structural optimization
• Wirtschaftsingenieurwesen Master Wirtschaftsingenieurwesen, 19. Version valid from WS 2024/25 > Modulgruppe D: Major Materials Engineering > MRM-0156 - Structural optimization > Structural optimization
• Materials Science Master Program Materials Science (PO 2016), 16. Version valid from WS 2024/25 > 4 Materials Science - Major Topic - Engineering of Materials > MRM-0156 - Structural optimization > Structural optimization
• Materials Science and Engineering Master Materials Science and Engineering, 6. Version valid from SS 2025 > FMI 3 Digital Materials and Technologies > MRM-0156 - Structural optimization > Structural optimization
• Materials Science and Engineering Master Materials Science and Engineering, 5. Version valid from WS 2024/25 > 3 Digital Materials and Technologies > MRM-0156 - Structural optimization > Structural optimization

Comment/Description

This course contains materials for the lecture Structural optimization (MRM-0156) held during the summer term 2025 at University of Augsburg.

Accompanying code to reproduce examples and figures may be found at https: //github.com/meyer-nils/structural_optimization. This repository also stores solutions to the exercise tasks. Solving the exercises and examples on your own is vital to gather proper understanding of the presented topics.

Credits are assigned in an oral examination in combination with a semester task that has to be submitted prior to the examination. This task should demonstrate that you are capable to apply and extend methods of this course to a problem of your own choice. An example for a semester task would be an extension of the presented two-dimensional truss problems to three-dimensional problems.