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Sitemap > Bulletin Board > Diplomarbeiten, Bachelor- und Masterarbeiten

Diplomarbeiten, Bachelor- und Masterarbeiten

Sie suchen gerade eine Diplomarbeit, ein Thema für eine Bachelor oder Master Thesis? Dann sind Sie hier richtig. In diesem Bereich sind Abschlussarbeiten aus allen Fakultäten zu finden.
Beachten Sie auch den entsprechenden Stichwortindex.

Wenn Sie selbst eine Diplomarbeit ausschreiben wollen, lesen Sie bitte vorher unbedingt das 'Best Practice Manual Stellenanzeigen'.

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05.05.2022
Master Thesis: Was denken Politiker über Privatwaldbesitzende?

Der Klimawandel hat extreme Auswirkungen auf die Wälder. Gleichzeitig wird die Gruppe der Privatwaldbesitzenden immer heterogener. Im Rahmen eines größeren Forschungsprojekts soll in dieser Masterarbeit der Frage nachgegangen werden, was Politiker von Privatwaldbesitzenden denken und welche Bilder sie im Kopf haben? Methodik: qualitative Untersuchung mit offenen Interviews mit Politikern aus Bayern, Nordrhein-Westfalen und Niedersachsen
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Kontakt: anton.wadenspanner@tum.de

03.05.2022
Design and development of a prosthetic foot

Most walking robots presented in literature stands on rigid flat feet forcing complex balancing control techniques. In the fields of prosthetics, this is also true, but no voluntary control is present.
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Kontakt: cristina.piazza@tum.de

03.05.2022
Thesis: Modelling bio-processes

- From Modelling & Simulation to Process Optimization -
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Kontakt: m.tesanovic@tum.de

03.05.2022
Thesis/ Student Job: Digitalization & Automation in Bioprocessing

Implementing Industry 4.0 standards into bioprocessing for optimized process development.
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Kontakt: m.tesanovic@tum.de

03.05.2022
Thesis: Modelling Magnetic Separation in Biotechnology

Modelling the motion of magnetic particles in a magnetic field as application for bioseparation.
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Kontakt: m.tesanovic@tum.de

02.05.2022
Reserach intership / Master's Thesis

Radio-Frequency (RF) Printed Circuit Board (PCB) design incorporating antenna switches for spin-wave measurements


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Kontakt: markus.becherer@tum.de

02.05.2022
Master Thesis / Research Internship: Calibration of low-cost air quality sensors using machine learning techniques

We are interested in studying universal calibration models of low-cost air quality sensors using machine learning techniques and investigating their generalizability with data collected from distant sites.
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Kontakt: ayah.abu-hani@tum.de

29.04.2022
[Research Internship / Semester Thesis] Mastering the Game of Skat using Decision Transformers

Official thesis proposal

In the past years, AI researchers achieved super-human performance in many classical games such as chess, shogi, and Go. But to this day, these techniques struggle in imperfect information games, e.g. poker, where the player does not know the entire state of the game at hand. One recently published method that could prove as a promising approach for such imperfect information games is the decision transformer (DT). DTs are based on attention mechanisms and are therefore able to learn the relation between states in long sequences of moves. One of the games, where this is of special importance is the game of Skat, since in every move, the player must consider all previously played moves. We therefore propose to investigate the application of DTs in mastering the game of Skat.


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Kontakt: jakob.thumm@tum.de

25.04.2022
BT/ST/MT: Mechanical modeling of an active cell culture platform for mechanobiology investigations

The Nano- and Microrobotics Lab is looking for a highly motivated, skilled, and enthusiastic master student who is eager to learn new skills in the fields of engineering, biology, and physics. In the Nano- and Microrobotics lab, we focus on engineering novel approaches to mechanically probe different biological structures, such as cells or tissues to understand how cells sense and respond to changes in their physical environment with particular emphasis on stem cell mechanobiology. However, it is challenging to build small scale robotic systems with precise control over exerted forces.
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Kontakt: chen.wang@tum.de

25.04.2022
Master thesis: Graph-based Prediction of Driver Behavior

In this thesis we aim to develop a GNN-based behavior prediction module using information from applying traffic rules. By representing the surrounding environment in a graph-structured fashion, we hope to achieve better generalization abilities than what can be achieved through a hand-engineered feature vector. Intuitively, given how interaction effects between vehicles can be thought of as propagating across the given traffic scene, graphs are well-suited data structures for our problem domain. We use traffic rules formalized in temporal logic as in previous works [3], [4]. The formalization allows one to rigorously evaluate traffic rule compliance of each traffic participant. The thesis builds up on previous works in the area and will partly enhance our implementation of traffic rule evaluation.
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Kontakt: eivind.meyer@tum.de

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