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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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22.05.2015

Lithium-Ionen-Zellen

Methodenentwicklung zur quantitativen Bestimmung der Selbstentladung von Lithium-Ionen-Zellen

Der Produktionsprozess von Lithium-Ionen-Zellen beinhaltet im letzten Schritt eine Qualitätsprüfung. Diese soll die Erfüllung bestimmter Qualitätsmerkmale quantifizieren. Eines der zu überprüfenden Merkmale ist die Selbstentladung der Zellen. Hierfür wird gängiger Weise eine Prüflagerung durchgeführt. Diese Methode nimmt mehrere Tage in Anspruch und bindet während dessen teure Ressourcen. Es soll nun eine neue Methode entwickelt und bewertet werden, die durch eine präzise Spannungsmessung die Prüfdauer wesentlich verkürzt.
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Kontakt: andreas.noel@tum.de

20.05.2015

Modell eines Toggle Switches

Implementierung eines Differentialgleichungsmodells zur Simulation eines biologischen Toggle-Switches

Thema Toggle-Switches werden in der modernen Biotechnologie als eine Möglichkeit betrachtet Prozesse gezielt an- und abzuschalten. Die Schalter ermöglichen es dabei, aufgrund von externen Bedingungen oder intrazellulären Gegebenheiten, gezielt Prozesse in der Zelle zu lenken und zu steuern. Das ganze soll im optimalen Fall automatisch erfolgen. Im vorliegenden Beispiel existiert es ein Modell für einen solchen Schalter und biologische Da- ten. Ein genetischer Schalter wurde verwendet um gezielt und optimiert Isopropanol mit Hilfe von E. coli produzieren. Aufgabe & Vorraussetzungen Mit Hilfe von MATLAB R soll das vorhande- ne Modell eines Toggle-Switches überprüft und an die vorhandenen Daten zur Isopropanol Produktion angepasst werden. Die Kenntnis von Differentialgleichungsmodellen und deren Erstellung werden vorrausgesetzt. Programmierkenntnisse in MATLAB oder einer anderen Programmiersprache sind erwünscht.
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Kontakt: sebastian.wolf@tum.de

20.05.2015

On-the-go disposal behavior

On-the-go disposal behavior: changing disposal behavior habits when out and about

Are you interested in prosocial consumer behavior and sustainable decision making? The Department of Sport & Health Management offers students who will be graduating from the TUM Faculty of Sports and Health Science or the TUM School of Management the possibility for interdisciplinary research (i.e., write a bachelor or master thesis). The topic is: “On-the-go disposal behavior: Changing disposal behavior habits when out and about.”
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Kontakt: info.mgt@sg.tum.de

20.05.2015

Strike by refuse collectors

The waste generation: the impact of consumer social responsibility on disposal behavior

Are you interested in prosocial consumer behavior and sustainable decision making? The Department of Sport & Health Management offers students the possibility for interdisciplinary research (i.e., write a bachelor or master thesis). The topic is: “The waste generation: the impact of consumer social responsibility on disposal behavior”.
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Kontakt: info.mgt@sg.tum.de

20.05.2015
Master Thesis / Internship in Singapore: Taking the Mass out of Mass Rapid Transport - User Experience Concepts for Next Generation Mobility Services

Artificial intelligence, big data and the availability of location-aware mobile devices will allow future transportation systems to adapt in real-time to the current demand. We are developing user-centric mobility services tailored to the need of individual people. These services employ smart vehicles which adapt their routes and schedules dynamically depending on where people currently are and where they want to go. By commercializing such concept, we are aiming to provide a seamless door-to-door travel experience to people in Singapore and beyond. You will be part of a small research team addressing different aspects of this topic. A key issue for making novel mobility services a choice for customers is User Experience. Your task will be to conceptualize and implement a mobile (and possibly web-) application allowing the user to seamlessly interact with the service.
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Kontakt: dominik.pelzer@tum-create.edu.sg

20.05.2015
Master Thesis / Internship in Singapore: Taking the Mass out of Mass Rapid Transport - Artificial Intelligence for the Smart Dispatch of Vehicles

Artificial intelligence, big data and the availability of location-aware mobile devices will allow future transportation systems to adapt in real-time to the current demand. We are developing user-centric mobility services tailored to the need of individual people. These services employ smart vehicles which adapt their routes and schedules dynamically depending on where people currently are and where they want to go. By commercializing such concept, we are aiming to provide a seamless door-to-door travel experience to people in Singapore and beyond. You will be part of a small research team addressing different aspects of this topic. Your work will be concerned with the development/adaptation of algorithms for the intelligent dispatch of vehicles.
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Kontakt: dominik.pelzer@tum-create.edu.sg

20.05.2015
Master Thesis / Internship in Singapore Intelligent Control of Energy Storage in Smart Grids: Machine Learning for Mobility Pattern Prediction

Smart grids rely on the intelligent behavior of individual consumers and generators. In this project we are developing a system which intelligently controls how mobile or stationary energy storages are charged and discharged to support the stability of power grids. One objective of the project is to realize a technology for the integration into electric vehicles (EV) to perform smarter charging and intelligent Vehicle-to-Grid (V2G) dispatch. You will be part of a small research team addressing different aspects of this topic. One component of the system is to use real-time electricity prices and short-term price predictions in order to schedule the charge/dispatch process in the most profitable way. The objective of this thesis/internship is to develop an algorithm which optimally deals with uncertainties related to these price predictions. This will be achieved by employing machine learning techniques which enable the system to continuously analyze the degree of uncertainty and to best account for this uncertainty when performing the schedule optimization.
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Kontakt: dominik.pelzer@tum-create.edu.sg

20.05.2015
Master Thesis / Internship in Singapore Intelligent Control of Energy Storage in Smart Grids: Battery Ageing Model Calibration using Online-Monitoring Data

Smart grids rely on the intelligent behavior of individual consumers and generators. In this project we are developing a system which intelligently controls how mobile or stationary energy storages are charged and discharged to support the stability of power grids. One objective of the project is to realize a technology for the integration into electric vehicles (EV) to perform smarter charging and intelligent Vehicle-to-Grid (V2G) dispatch. You will be part of a small research team addressing different aspects of this topic. To optimally schedule the charging and discharging of an EV, the time at which the vehicle will be used for driving and the required amount of energy needs to be known. This information can be predicted from a user’s historical trip data. The objective of this thesis/internship is to develop a machine learning algorithm which is capable of making this short term mobility pattern prediction.
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Kontakt: dominik.pelzer@tum-create.edu.sg

20.05.2015
Master Thesis / Internship in Singapore: Taking the Mass out of Mass Rapid Transport: Artificial Intelligence for the Smart Dispatch of Vehicles

Smart grids rely on the intelligent behavior of individual consumers and generators. In this project we are developing a system which intelligently controls how mobile or stationary energy storages are charged and discharged to support the stability of power grids. One objective of the project is to realize a technology for the integration into electric vehicles (EV) to perform smarter charging and intelligent Vehicle-to-Grid (V2G) dispatch. You will be part of a small research team addressing different aspects of this topic. To avoid significant damage to the battery, the system needs to know the cost of cycling energy through the battery. These costs depend on a variety of factors and can be estimated using empirical battery ageing models. To improve this estimate, a battery online-monitoring system is being developed which allows tracking the battery’s state of health. The objective of this thesis/internship is to develop a mechanism which uses this online-monitoring data for the real-time calibration of an empirical battery model.
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Kontakt: dominik.pelzer@tum-create.edu.sg

20.05.2015
Master Thesis / Internship in Singapore: Intelligent Control of Energy Storage in Smart Grids: Development of an Optimization Strategy for a Virtual Power Plant

Smart grids rely on the intelligent behavior of individual consumers and generators. In this project we are developing a system which intelligently controls how mobile or stationary energy storages are charged and discharged to support the stability of power grids. One objective of the project is to realize a technology for the integration into electric vehicles (EV) to perform smarter charging and intelligent Vehicle-to-Grid (V2G) dispatch. You will be part of a small research team addressing different aspects of this topic. One component of the system is the virtual power plant (VPP) operator who aggregates hundreds to thousands of EVs and offers their energy on the electricity market. The objective of the aggregator is to maximize its profits from providing energy/power capacity to the market. As the number and specifications of the EVs being connected to the VPP is constantly changing over time, the aggregator also needs to consider these dynamics in order to find a risk-minimizing bidding strategy. The goal of this thesis/internship is to develop an optimal and robust operation strategy for such an aggregator.
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Kontakt: dominik.pelzer@tum-create.edu.sg

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