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Making Your Thesis a Success

For most students, their final research paper is the first major work written during their degree program. It is much more comprehensive and demanding than term or seminar papers they have written during the course of their studies and, therefore, requires more planning.

Formalities: What regulations apply to the thesis?

Here, you will find information on the regulations governing the writing and submission of your thesis.  Formalities Please take note: These specifications apply for bachelor’s and master’s theses. You can find the regulations applying to the diploma thesis in the §§ of the ADPO (General Academic and Examination Regulations) and the FPSO (Departmental Study and Examination Regulations) of your degree program.

Tips and Tricks

Here, you will find some tips, literature and links we have compiled to help you succeed in writing your thesis. Tips and Tricks

English Writing Center and Schreibberatung German as a Foreign Language

The English Writing Center and the Schreibberatung German as a Foreign Language offer free one-to-one consulting in English or German writing to all members of the TUM community. The Center is staffed by both professional language instructors and student peer tutors, all of whom are native English or German speakers. They help you develop long-term proficiency in English or German writing, while polishing your actual texts in the process.

Having trouble choosing a topic for your bachelor’s or master’s thesis? Our Themenbörse posts current thesis topics from across the spectrum of TUM’s academic departments.

Please observe the  e-mail etiquette .

Personal advising sessions with  General Student Advising  by appointment

Monday, 9 a.m. – 12 p.m. Tuesday, 1 p.m. – 4 p.m. (Student Information only) Wednesday, 9 a.m. – 12 p.m. Friday, 9 a.m. – 12 p.m.

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• TUM School of Computation, Information and Technology
• Technical University of Munich

Thesis and Completing your Studies

Specific information of each professional profile.

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General Informationen

Administration of final theses.

From 15 January 2024 on, all final theses in the School of Computation, Information and Technology will be managed via the CIT portal.

Once you have found a topic and a supervising chair for your thesis, you will be registered by the supervising chair . You will receive an e-mail asking you to confirm your thesis registration. Only after you have confirmed your registration, the Academic Programmes Office will be able to check the admission requirements and you will receive an email confirming your binding registration for your thesis.

Features for students in the CIT portal

•     You can log in to the CIT portal at https://portal.cit.tum.de/en/Theses/ with your TUM ID and get an overview of your thesis.
•     If necessary, you can apply for an extension in the CIT portal.
•     Further functions will follow in the coming months.

Information for employees

In the wiki at https://collab.dvb.bayern/display/TUMcit/Abschlussarbeiten?showLanguage=en_GB employees can find a comprehensive documentation of the administration of theses in the CIT portal.

Mandatory Enrollment for Exams and Final Thesis

Students have to be enrolled when they take an exam (including the thesis).

In accordance with § 18 subsection (1) APSO students must be enrolled in the respective program until completion and submission of the final thesis (Bachelor's Thesis or Master's Thesis). This is true even if the period for writing the thesis was extended for reasons beyond a student’s control.

For all other exams, however, the time until the first week of classes belongs to the exam period of the previous semester. Therefore, in that case, students only have to be enrolled until the end of the previous semster. For exams which take place until the end of the first week of classes of the new semester no obligation for enrollment exists. This is also true for the usually with a final thesis associated mandatory colloquium (Bachelor) or mandatory presentation (Master). Students who have submitted their final thesis in the previous semester therefore do not have to be enrolled for a colloquium or presentation which takes place until the end of the first week of classes.

Please note: If the colloquium or presentation takes place after submitting the final thesis and if this is the last requirement of the program, then the day of the colloquium or the presentation also is the date of the certificate (and not the date of submission of the thesis).

Research phase and master thesis in the Master's degree program Biomedical Engineering and Medical Physics

In the final year of the Master's degree program, you will have the unique opportunity to conduct research on exciting topics within the specialty of the program. You can choose from a variety of working groups and projects.

The build-up of the research phase

To the scope of the one year research phase (60 ECTS) belong firstly, the development of the necessary special knowledge within a cutting-edge research line and secondly, the acquisition of the corresponding experimental or theoretical skills, that are necessary for the realization of the research project within the frame of the Master's thesis. Each of these steps conforms a module, the Master's seminar and the Master's work experience. Both modules belong intrinsically together and account in total for 30 ECTS. Subsequently, the independent research project can be carried out as part of the Master's thesis, which corresponding module comprises 30 ECTS. The research phase is completed with the Master's colloquium, the defense of the Master's thesis, within this module.

During the research phase, the fulfilment of an independent scientific work is tighly connected with the acquisition of additional skills, such as project management, team work as well as the depiction and presentation of scientific results.

*: PL="Prüfungsleistung" graded exam, SL="Studienleistung" non graded exam (pass/fail)

Finding a topic

To find a topic, please contact the possible thesis supervisors yourself.

It is advisable to start searching for a suitable topic early, about one semester in advance. In a personal interview, you can quickly see whether a topic appeals to you and whether you feel comfortable in the group. We discourage you from simple e-mail exchange, as it is usually not successful.

If you are interested in an "external" research phase or Master's thesis, please refer to the FAQ article on this topic. You can find it on our website .

A list of possible topics is given in the linked Moodle-Course .

List of possible BEMP supervisors

In addition to all faculty members of the Department of Physics, subject-appropriate faculty members of other departments appointed by the Examination Committee may be considered as potential topic proposers:

• any faculty members of the Department of Physics
• Dr. Stefan Bartzsch
• Prof. Dr. Sonja Berensmeier
• Prof. Dr. Dominik Bucher
• Calogero D'Alessandria
• Prof. Dr. Ghulam Destgeer
• PD Dr. Bernhard Gleich
• Prof. Dr. Oliver Hayden
• Prof. Dr. Werner Hemmert
• Prof. Dr. Dimitrios Karampinos
• PD Dr. Tobias Lasser
• Prof. Dr. Oliver Lieleg
• Prof. Dr. Petra Mela
• Prof. Nassir Navab Ph.D.
• Prof. Dr. Stephan Nekolla
• Prof. Dr. Vasilis Ntiachristos
• Prof. Dr. Berna Özkale Edelmann
• Prof. Dr. Cristina Piazza
• Prof. Dr. Christine Preibisch
• Prof. Dr. Daniel Rückert
• Prof. Dr. Franz Schilling
• Prof. Dr. Christian Wachinger
• Prof. Dr. Gil Westmeyer
• PD. Dr. Afra Wohlschläger
• Prof. Dr. Bernhard Wolfrum

Registering the research phase

The registration to all modules belonging to the research phase is done at once, normally at the beginning of the third Master's semester. After agreeing on a topic with the future supervisor, the registration takes place via an online form, for the time being still via the physics web pages (access only from the Munich science network).

Following the online registration, the registration form must be printed out and handed in at the Dean's Office Physics (Dekanat Physik). When doing this, the certificate of mentor counseling has to be included.

After six months the Master's thesis should begin. Passing the Master's seminar and the Master's work experience will be recorded in TUMonline and you are officially allowed to start the thesis.

Handing in the thesis and getting the grade including the colloquium

Before handing in the Master's thesis, you must fill in the final titel of the thesis in the database and upload an electronic copy (PDF-file). For the time being, the database is still located on the physics web pages (access only from the Munich science network). Afterwards, you have to hand in two printed versions in the Dean's Office (Dekanat). Only then is the thesis considered submitted; uploading the electronic copy is not sufficient to meet the deadline.

Extension of the deadline is only possible for good reasons. See FAQ on Thesis extension.

The Master's thesis will be evaluated by the supervisor and a second examiner. The second examiner is appointed by the examination board on suggestion of the supervisor (at the earliest after official registration of Master’s thesis).

The supervisor and the second examiner will also grade the Master's colloquium, which completes the research phase. The Master’s colloquium is organised and conducted by the supervisor together with the second examiner. The Master’s colloquium takes approximately 60 minutes, consisting of a 30 minutes talk and 30 minutes examination. Naturally, the inclusion of the colloquium in a group seminar is possible.

For any examination you must be enrolled as a student of TUM. Hence you need to re-enroll for one semester more e.g. if you hand in your Master’s thesis or your Master’s colloquium takes place after the current semester ends. With a due date for your thesis or a scheduled date for the colloquium e.g. in October, you should not forget to re-enroll for the winter semester and the corresponding deadline would be August 15.

Completing your Master studies

At the end of the semester in which you reach the necessary 120 ECTS in your Master's degree program and passed all required exams you will be exmatriculated (according to §13(1) enrolment rules of TUM). In most cases the Master's colloquium will be the last exam to reach this point.

You are principally allowed to take further exams after reaching the 120 ECTS, i.e. to replace previous results in the catalog of the focus areas with better results. Therefore it is generally not possible that the final documents are generated before you are exmatriculated. In case you need the final documents (or even preliminary documents) earlier, you have to request for it explicitly. See the Remarks on end of studies and final documents for further information.

Computation of the final grade

The final grade is the ECTS-weighted average of all graded exams.

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• Chair of Computational Modeling and Simulation
• TUM School of Engineering and Design
• Technical University of Munich

• Bhattacharyya, I.: Assessment and Mitigation of Flooding Scenarios for the LMU Hospital, Munich through BIM-GIS Integration. Master thesis, 2024 more…
• Bulla, A.: A Bottom-Up Approach for the Automatic Creation of the Digital Staircase Model Using Point Cloud Data and Parametric Prototype Models. Master thesis, 2024 more…
• Friedl, F.: Bim-Based Progress Monitoring Using 2D Semantic Segmentation. Master thesis, 2024 more…
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• Khochinskii, M.: Automated calculation of as-planned environmental impacts from construction activities using BIM-based construction schedule. Master thesis, 2024 more…
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• Berwal, A.: BIM based Autonomous Navigation of a Quadruped Robot. , 2023 more…
• Dao, V. C.: Parametric Building Energy Performance Simulation with Sensitivity Analysis Using BIM Models in Early Design Stages. Master thesis, 2023 more…
• Elshani, G.: Connecting Future Predictions of Railway Assets to BIM. , 2023 more…
• Espinosa, S.: Integration of laser profiler feedback into FIM-based additive manufacturing in construction. , 2023 more…
• Faßbender, C.: Time Integration for the Spectral Cell Method with Application to the Full Waveform Inversion. , 2023 more…
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• Ahmed, D.: Automatic Detection of Elements in the Technical Drawings of Bridges by Deep Learning and Parametric Modeling. , 2022 more…
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• John, J.: Opportunities and current limitations of cloud-based design automation in the context of Building Information Modelling. , 2022 more…
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• Koleva, Betina: Model-based UAV mission planning for photogrammetric capture of existing buildings. Bachelor's thesis, 2022 more…
• Krishnakumar, H. K.: BIM-based optimization of the data acquiring process for construction and operational cost calculation. , 2022 more…
• Lang-Scharli, F.: Analysis of the current state and the use of digital twins in the operational phase of the infrastructure in the Free State of Bavaria including a comparison to the international state. , 2022 more…
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• Ogunjinmi, G. J.: Estimating Circularity of Building Elements Using BIM. , 2022 more…
• Sattar, M. H.: Model Aware LiDAR Odometry and Mapping (MA-LOAM): Improving Simultaneous Localization and Mapping accuracy by robustly leveraging a Building Information Model. , 2022 more…
• Schnittger, HL.: Modellbasierte Unterstützung der Verkehrs- sicherheitsarbeit in der Straßenplanung. , 2022 more…
• Selimovic, E.: Sanierungspotential von Bestandsgebäuden mithilfe automatisierter geometrischer Rekonstruktion und semantischer Anreicherung aus Punktwolken. , 2022 more…
• Surendran Sanila, G.: An Object and History-based Approval method for MEP Slot and Opening planning in openBIM projects using a Database-driven workflow. , 2022 more…
• Taray, A.: Systematic Evaluation of the IFC Data Model for Infrastructural Assets and BIM Use Cases. , 2022 more…
• Tegeler, J.: IFC as data basis for noise immission simulations for transport facilities. , 2022 more…
• Weidinger, J.: Deep Learning based integration of manual changes on floor plans. , 2022 more…
• Zhang, S.: Model-based construction process simulation on a BIM example project. , 2022 more…
• Abdalaziz, A.: A More Reliable Method for Cost Estimation of Reinforcement Steel in Early Stages of Design. , 2021 more…
• Ali, S.: Automatic Classification and Consistency verification of Digital drawings using Deep Learning. , 2021 more…
• BASAK, A.: Image-Based Localization in 3D Point Clouds. , 2021 more…
• Dlubal, D.: Untersuchung des Structural Analysis Format (SAF) auf Eignung für eine BIM-gestützte Tragwerksplanung. , 2021 more…
• Du, C.: Enhancing 3D Point Cloud Semantic Segmentation Using Multi-Modal Fusion With 2D Images. , 2021 more…
• Federico Fernández Erbes: Parallel Phase-Field Simulations with the Finite Cell Method and Adaptive Refinement. Master thesis, 2021 more…
• Fischer, F.: Bewertungsmethodik zur modellbasierten Lebenszyklusbetrachtung der Technischen Gebäudeausrüstung in frühen Phasen anhand der Raumlufttechnischen Anlagen (KG 430). , 2021 more…
• Kannankattil Ajayakumar, J.: Classification of the Level of Geometry of Building Elements using Deep-learning. , 2021 more…
• Kelemen, Máté: A Review of Mass Lumping Schemes for the Spectral Cell Method. , 2021 more…
• Kiral, Alperen: Automated Calibration Methods for Digital Production Twins. , 2021 more…
• Kossat, R.: Point Cloud Completion by Deep Learning. , 2021 more…
• Lammers, B.: IFC-based variant analysis considering multicriterial sustainability analysis of buildings. , 2021 more…
• Liu, C.: Localizing and Matching CAD Model in Point Cloud Using Semantic Registration Method. , 2021 more…
• Müller, Bernhard: Business Innovation Framework for Industrialized Construction. , 2021 more…
• Pfitzner, F.: Data Mining within the as-performed construction process. , 2021 more…
• Samaras, D.: Automated Extraction of Semantic Information from Engineering Drawings using Deep Learning. , 2021 more…
• Schliski, S.: BIM-Based Code Compliance Checking of the Musterbauordnung. , 2021 more…
• Slepicka, M.: Fabrication Information Modelling - BIM-basierte Modellierung von Fertigungs-informationen für Additive Manufacturing. , 2021 more…
• Stocker, T.: Erstellung von IFC-Datenmodellen für den Holzbau und darauf basierende automatisierte Überprüfung der Einhaltung von Schallschutzanforderungen. , 2021 more…
• Xia, Y.: Automated Methods of Mapping LCA Data to BIM Models. , 2021 more…
• Bollig, YC.: Geometrical and Topological Linking of Railway Systems. , 2020 more…
• Collins, F.: Encoding of geometric shapes from Building Information Modeling (BIM) using graph neural networks. , 2020 more…
• Drewes, L.: BIM-integration of sustainable building certification criteria in the early design stages. , 2020 more…
• Jokeit, Moritz: Exploring Physics-informed Neural Networks for the Heat Equation. , 2020 more…
• Kolbeck, L.: Interoperability of BIM-based Life-Cycle Energy Analysis in Early Design Stages. , 2020 more…
• Liu, Chenyang: Modification of Parameters in image-based automated 3D-Reconstruction for Fine Structures. , 2020 more…
• Popgavrilova, G.: Assuring building information quality for building analytics by translating use cases of BIM@SRE standard into the MVD format. , 2020 more…
• Schlenger, J.: Integration getrackter Eisenbahnausrüstung in eine Fachmodellumgebung. , 2020 more…
• Siebenhütter, K.: Entwicklung einer Methode zum Festhalten des Standes von geprüften Bauwerksmodellen. , 2020 more…
• Speiser, K: Ein Ansatz zur Anreicherung und Validierung von IFC-Modellen durch das Übersetzen gegebener Daten in standardisierte Informationsanforderungen. , 2020 more…
• Stoitchkov, D.: Automated retrieval of shared IFC model data based on user-specific requirements. , 2020 more…
• Vega, M.: Efficient Vertical Object Detection in Large High-Quality Point Clouds of Construction Sites. , 2020 more…
• Ahmad, A.: Untersuchungen zur Modellierung und Projektabwicklung für den Erdbau einer freien Bahnstrecke. , 2019 more…
• Beck, F.: Categorization and visualization of model-based informational distance during the BIM-based design process Master. , 2019 more…
• Breden, Steve: Entwicklung einer Anwendungssoftware zur Unterstützung der Bauausführung. , 2019 more…
• Breu, T.: Point Cloud Classification as a Support for BIM-based Progress Tracking. , 2019 more…
• Georgoula, V.: Development of an Autodesk Revit Add-in for the Parametric Modeling of Bridge Abutments for BIM in Infrastructure. , 2019 more…
• Hacker, D.: Abbildung der zeitgebundenen Kosten im bergmännischen Tunnelvortrieb mit der BIM-Methodik. , 2019 more…
• Holland, Michael: Datenanalyse in der Cloud – Entwicklung eines Prototyps zur Automatisierung von Baudokumentation und Baufortschrittskontrolle mit den Prinzipien des Internet of Things. , 2019 more…
• Hölzlwimmer, V.: Prüfung von Fertigstellungsgraden in digitalen Gebäudemodellen. , 2019 more…
• Jäger, Michael: Anwendungen von BIM zum Projektmanagement mit Lean Construction. , 2019 more…
• Mair, L.: Levels of Development (LODs) bei der Erstellung von Auftraggeber-Informationsanforderungen (AIAs) für Straßenbauprojekte am Beispiel der „Grundhaften Erneuerung der A92“. , 2019 more…
• Meinberg, L.: Erarbeitung eines Softwarekonzepts zur Verbesserung der Kommunikation zwischen Projektbeteiligten auf der Baustelle während der Bauausführung. , 2019 more…
• Nguyen, T: Entwicklung eines Detaillierungskonzepts für die BIM-basierte Modellierung von Massivbaubrücken. , 2019 more…
• Rakic, M.: Lean BIM-based communication and workflow during design phases. , 2019 more…
• Rohrmann, J.: Design Optimization in Early Project Stages. , 2019 more…
• Sedlmair, M.: Point Cloud Processing for Tunnel Infrastructures. , 2019 more…
• Seelos, S.: A Framework for generating building models for graph-based neural networks. Technische Universität München, 2019, more…
• Stauch, F.: BIM im Spezialtiefbau – Einsatz wissensbasierter Methoden zur Verbesserung der Modellqualität und Steigerung der Modellierungsgeschwindigkeit. , 2019 more…
• Tadesse, R.: BIM im Tunnelbau - Entwicklung eines Informationsmodells für Tunnelbauwerke. , 2019 more…
• Verena, Wolf: Entwicklung eines Konzeptes zur Bewertung digitaler Datenmodelle am Beispiel einer Bahnsteigplanung. , 2019 more…
• Barth, A.: Development of an integrated data management in civil engineering with the help of methods of the Systems Engineering. Master thesis, 2018 more…
• Begana, K.: Uncertainties in BIM-based Life Cycle Assessments in early design phases. Master thesis, 2018 more…
• Esser, S.: Implementierung einer Datenschnittstelle zur Unterstützung der modellbasierten Planung von Bahnausrüstungstechnik. Master thesis, 2018 more…
• Fehrenbach, A.: Definition von Modellinhalten für BIM-Modelle von Schleusenbauwerken für ausgewählte BIM-Anwendungsfälle der Planung. Master thesis, 2018 more…
• Forth, K.: BIM-basierte Ökobilanzierung. , 2018 more…
• Hinterschwepfinger, J.: BIM-gestütztes Anforderungsmanagement zur Kalkulation eines Hochbauprojektes. Bachelor thesis, 2018 more…
• Kirn, F.: Building Information Modeling and Virtual Reality: Editing of IFC Elements in Virtual Reality. , 2018 more…
• Reichle, Johannes: Anwendungspotentiale von BIM im Bauprozessmanagement. Master thesis, 2018 more…
• Xu, S.: Investigation of graph-databases for storing and analyzing building models. Master thesis, 2018 more…
• Zibion, D.: Development of a BIM-enabled Software Tool for Facility Management using Interactive Floor Plans, Graph-based Data Management and Granular Information Retrieval. Master thesis, 2018 more…
• Bareth, Thomas: Baudimensionierung hinsichtlich Fluchtwegesicherheit und Komfort – eine Betrachtung von ingenieurtechnischen Berechnungsmethoden vor dem Hintergrund der baurechtlichen Vorschriften. , 2017 more…
• Beutelrock, M.: Bausystemschnittstellenentwicklung im industriellen Bauen. , 2017 more…
• Hudeczek, D.: Formalisierung von Normen mithilfe von Auszeichnungssprachen für die automatisierte Konformitätsüberprüfung. , 2017 more…
• Koebler, K.: Untersuchung der IFC-gestützten Modellübertragung zur Ableitung von Modellierempfehlungen für Architekten. , 2017 more…
• Kopp, Philipp: Multi-level hp-FEM and the Finite Cell Method for the Navier-Stokes equations using a Variational Multiscale Formulation. Master thesis, 2017 more…
• Lahr, S.: Durchführung einer mikroskopischen Personenstromanalyse zur Optimierung und Evaluation der Abläufe, von Umbaumaßnahmen des Münchner Hauptbahnhofes. , 2017 more…
• Lauterbach, Sven: Performanceoptimierung von Fußgängersimulationen durch Einsatz von Parallelisierungstechniken. , 2017 more…
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• Vega, S.: Analysis of BIM-based Collaboration Processes in the Facility Management. , 2017 more…
• Wang, Y.: Analysis of Code and Guideline Contents in Construction Industry based on Text Mining. Bachelor thesis, 2017 more…
• Cheng, Zhibin: Modelling Pedestrian Group Behaviors on a Music Festival Event Using an Agent-based Method. , 2016 more…
• Iqbal, M.: Advanced Topological Operators for QL4BIM. , 2016 more…
• Kunkel, H.: Digitales Bauen - Integration von projektorientierten Informationssystemen im schlüsselfertigen Hochbau. , 2016 more…
• Marx, M.: Computergestützter Optimierungsprozess zur Unterstützung der Entscheidungsfindung in der frühen Entwurfsphase am Beispiel eines nachhaltigen Museumsgebäudes. , 2016 more…
• Mini, F.: Entwicklung eines LoD Konzepts für digitale Bauwerksmodelle von Brücken und dessen Implementierung. , 2016 more…
• Prasad, R.;: Betrachtung und Analyse des Projektmanagements im BIM-gestützten Bauprozess. , 2016 more…
• Faure, Julien: Vergleich und Bewertung von Analysewerkzeugen für die Validierung und Kalibierung von mikroskopischen Personenstrommodellen. Master thesis, 2015 more…
• Schneider, Michael: Einführung der BIM-Methode im Ingenieurbüro – Unterstützung der Abläufe durch eine durchgängige Nutzung einer Bauteilbibliothek. Master thesis, 2015 more…
• Seeser, E.: Entwicklung eines Add Ins basierend auf Siemens NX zum Datenaustausch in die CADINP Sprache von SOFiSTiK. , 2015 more…
• Sojka, Frédéric: Integration des Building Information Modelling in den Wertschöpfungsprozess eines mittelständischen Bauunternehmens. , 2015 more…
• Büchele, D.: Visualisierung von Fußgängersimulationsdaten auf Basis einer 3D-Game-Engine. , 2014 more…
• Frank, J.: Realistische Echtzeit-Visualisierung von CFD-Ergebnissen. Master thesis, 2014 more…
• Hua, Shan: Entwicklung einer Schnittstelle zwischen IFC-Gebäudemodellen und Modelica. Master thesis, 2014 more…
• Hölderle, B.: Untersuchung von Autodesk Vault für den BIM-Prozess. , 2014 more…
• Kuloyants, V.: Entwicklung eines IFC-basierenden Datenaustauschstandards für den Unterbau von Brückenbauwerken. , 2014 more…
• Kutterer, B.: Computergestützte Tragwerksplanung im Holzbau. , 2014 more…
• Preidel, C.: Entwicklung einer Methode zur automatisierten Konformitätsüberprüfung auf Basis einer graphischen Sprache und Building Information Modeling. Master thesis, 2014 more…
• Singer, D.: Entwicklung eines Prototyps für den Einsatz von Knowledge-based Engineering in frühen Phasen des Brückenentwurfs. , 2014 more…
• Vilgertshofer, S.: Repräsentation und Detaillierung parametrischer Skizzen mit Hilfe von Graphersetzungssystemen. , 2014 more…
• Weinholzer, M.: Analyse und Implementierung von Datenaustauschformaten zwischen CAD- und AVA-Systemen im Zuge einer BIM-basierten Projektrealisierung im Ingenieurbau. , 2014 more…
• Braun, A.: Entwicklung eines 4D-BIM-Viewers mit graphbezogener Darstellung von Bauabläufen und - alternativen. , 2013 more…
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• Andrae, M.: Entwicklung eines Mangelaufnahme-Systems auf Mobilen Geräten für den Einsatz bei der Objektüberwachung zur weiteren zentralen Verarbeitung. Master thesis, 2012 more…
• Wang, M.: 3D-Planung von Brückenbauwerken mit Siemens NX 7.5. , 2012 more…
• Ritter, F.: Untersuchung der Möglichkeiten und Vorteile des modellgestützten kooperativen Planens anhand von Autodesk Produkten. Master thesis, 2011 more…
• Solis Lopez, J.M.: Calculation and representation of structural reinforcement in Building Information Models using Revit Structure and SOFiSTiK. , 2011 more…
• Zhang, Y.: Genetic Algorithms for Bridge Maintenance Scheduling. , 2010 more…
• Zhou, H.: Development of An Earthwork Simulation Model with Plant Simulation. Master thesis, 2010 more…
• Lu, Y.: Development of the 4D Earthwork ViZ Toolkit Applied in Road Construction. Master thesis, 2009 more…
• Ramos Jubierre, J.: Analysis and coupling of a Geometric Constraint Solver with a CAD application. , 2009 more…

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• Lehrstuhl für Unternehmensführung
• TUM School of Management
• Technische Universität München

Bachelor and Master theses

Requirements.

We supervise theses mainly in Finance & Accounting and Marketing, Strategy & Leadership. Applications from other fields are also welcome.

Important information to consider 

Application.

Applications for theses at the Chair of Corporate Management can be submitted at any time. The application procedure depends on whether you apply for an offered topic or want to suggest a topic on your own.

Please follow one of the three different possibilities: 

The following documents are necessary in order to process the application:

One single PDF-Document:

• Application form [ Bachelor ] [ Master ]
• Current grades
• Curriculum vitae in tabular form
• (Summary of suggested topic if specific topic on your own or with professional partner)

Kindly refrain from preliminary enquiries and submit your complete application documents. We are only able to make a decision on account of your documents.

In case you have been denied twice - either with your own proposal or with your application for a Master thesis - please contact the Department Head Accounting & Finance: Prof. Dr. Reiner Braun, [email protected] . In cooperation with the involved chairs, he will assist you in finding an adequate master thesis topic for you. However, we are unable to guarantee that you will be able to work on your own proposal.

We suggest topics students may apply for. Students may also suggest their own topics.

Green Relocation of Industrial Production to the Global South                Sven Colen                        21.03.2024

We specialize in management accounting, behavioral accounting, personnel economics, behavioral economics, and questions regarding energy-efficient trading in corporations and sustainability. Applicants who consider suggesting their own topics should make sure that these are in these fields.

We also supervise theses in these fields that are carried out with companies (professional partners). Applicants can put forward their professional partners. These theses should touch on a concrete problem existing in the workplace. The scientific requirements are also essential.

Applicants who wish to put forward their own topic must prepare a summary of 1–3 pages ( Instructions [PDF, 200 kB]). The summary is the foundation of finding the topic and coordinating between the applicant, the supervisor and, if relevant, the professional partner.

According to the examination regulations for Economic studies the duration is as follows:

• Master thesis: (TUM-BWL/TUM-WIN): six months
• Master thesis: (MBA/EMBA): three months
• Bachelor thesis: three months

The assessment of your thesis will take up to 2 months.

Please take this deadline into consideration if you have to meet other deadlines like e.g. changing to a Master program or transferring to another university. If you require the grade for a specific deadline, then you must submit your thesis at least 2 months beforehand and register earlier on accordingly.

The applicant receives a message of acceptance or refusal. In the event of an acceptance, the applicant will also be informed the name of the supervisor who should be contacted.

If necessary, the topic is modified with the supervisor. The time between defining the topic and the official start of the thesis should as a rule not take longer than 4 weeks. The registration of the thesis should be done in this time frame at the Grade Management TUM-School of Management (Noten- und Prüfungsverwaltung der Fakultät für Wirtschaftswissenschaften).

During this time students are encouraged to contact their supervisors regularly. This should be on the initiative of the students.

Furthermore, we recommend to present your research within the final theses colloquium. Please contact your supervisor for more details.

The submission is made by email to the Grade Management ( [email protected] ) and not to the supervisor. Forwarding by the Grade Management to the supervisor takes place after review and approval by the Grade Management.   To be submitted:

• Thesis with signed Declaration of Authorship (digital signature is sufficient)
• Permission to view (as an extra PDF)  https://www.mgt.tum.de/download-center

All other files (Excel lists, surveys, etc.) can also be attached and will be forwarded to the supervisor or you as a student can send the documents to your supervisor on your own. If the supervisor requires a printed copy in addition to the digital version, please, submit it directly to the supervisor.

All further information on submitting the final thesis can also be found in an information sheet in the download section of the TUM School of Management under Final Thesis:  https://www.mgt.tum.de/download-center

Upcoming dates final theses' colloquia

Useful links for your theses.

Please have a look at our german or english guidlines while preparing your theses.

For further information on scientific writing please visit the website of mediaTUM . Templates for your theses can be found here .

Databases with student access

In order to provide students of the TUM School of Management an overview of the databases accessible to them, a list of all databases with student access can be found under the following link:

https://wiki.tum.de/display/databasesatsom/Databases+at+TUM+SOM

The list also includes information on how to apply for database access. 

Applications to be sent to: [email protected]

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• Chair of Integrated Systems
• TUM School of Computation, Information and Technology
• Technical University of Munich

Master Theses

Available topics.

Interested in an internship or a thesis?   Often, new topics are in preparation for being advertised, which are not yet listed here. Sometimes there is also the possibility to define a topic matching your specific interests. Therefore, do not hesitate to contact our scientific staff, if you are interested in contributing to our work. If you have further questions concerning a thesis at the institute please contact  Dr. Thomas Wild .

MA : Hardware-Aware Layer Fusion of Deep Neural Networks

• Open thesis as PDF.

Hardware-Aware Layer Fusion of Deep Neural Networks

Description.

Dataflow and mapping of Convolutional Neural Networks (CNN) influences their compute and energy efficiency on edge accelerators. Layer fusion is a concept which enables the processing of multiple CNN layers without resorting to costly off-chip memory accesses. In order to optimally implement layer fusion, different combinations of mapping and scheduling parameters need to be explored. We, at the BMW group, offer you a challenging master thesis position that aims to optimize the fusion strategy of a given CNN workload for maximal data reuse and resource utilization.

Prerequisites

• Strong knowledge in computer vision concepts, and convolutional neural networks.
• Hands-on experience with Xilinx FPGAs, Verilog/VHDL/HLS.
• Excellent programming skills in  C, Python. Experience in Tensorflow 2, Git, Docker is a plus.
• Highly motivated and eager to collaborate in a team.
• Ability to speak and write in English fluently.

[email protected]

Supervisor:

Assigned topics, ma : hardware-accelerated linux kernel tracing, hardware-accelerated linux kernel tracing.

Tracing events with hardware components is one powerful tool to monitor, debug, and improve existing designs. Through this approach, detailed insights can be acquired, and peak performance can be achieved, while being a challenging task to be integrated with good performance. One of the major challenges of tracing is to collect as much information as possible with ideally no impact on the to-be-analyzed system. Herewith, it can be ensured that the gained insights are representative of an execution without any tracing enabled. In this work, a hardware tracing component should be leveraged to reduce the intrusiveness of existing software tracing mechanisms in the Linux kernel. 

This should be integrated and tested on a hardware platform based on a Xilinx Zynq board. This features a heterogeneous ARM multicore setup directly integrated into the ASIC, combined with programmable logic in the FPGA part of the chip. In the FPGA a hardware accelerator is already implemented that should be traced with the new component.

To successfully complete this work, you should have:

• experience with microcontroller programming,
• basic knowledge about Git,
• first experience with the Linux environment.

The student is expected to be highly motivated and independent.

MA : Multicore-Optimierung eines bildverarbeitenden Systems

Multicore-optimierung eines bildverarbeitenden systems.

Im industriellen Umfeld werden Informationen zunehmend in visuellen Codes (z.B. Strichcodes, QR-Codes) zur automatisierten Verarbeitung abgelegt. Steigende Durchsatzzahlen stellen immer höhere Anforderungen an die Geschwindigkeit der Datenverarbeitung. In dieser Arbeit soll anhand eines kostengünstigen kommerziell erhältlichen Multicore- Systems untersucht werden, inwieweit bisher durch Hardware realisierte Verarbeitungsgeschwindigkeiten durch Parallelisierung der Auswertungsschritte in CPU-Systemen erreicht, werden können. Insbesondere soll untersucht werden, ob spezialisierte Co-Prozessoren (z. B. Vector Processing Units (VPUs)) zur Beschleunigung beitragen können oder wie diese auf die Aufgabe hin optimiert gestaltet werden können (Application-Specific Instructionset Processor (ASIP)).

MA : A Deep Dive into C-States, Idle Governors and the Prospects of an eBPF Idle Governor

A deep dive into c-states, idle governors and the prospects of an ebpf idle governor.

Linux is one of the most utilized Operating Systems in Embedded Systems and Cloud Infrastructure worldwide. Sustainability will become more relevant in the future and saving power is a crucial aspect. This shows the increasing importance of efficient Linux Power Management.

The Power Management in Linux is implemented in several kernel subsystems correlating to hardware characteristics, like P-States (Frequency Scaling) and C-States (Sleep States). This thesis examines the Idle Power Management of Linux, and therefore focuses on C-States. C-States are per Core states and allow parts of the core to shut down individual features. Each processor implements C-States in different ways. Increasing C-State number, e.g. C6, translate to a deeper sleep with lower energy consumption and higher power-on reaction time.

The recently released eBPF functionality makes the kernel more programmable, bypassing the original monolithic characteristics. This mechanism can be divided into four components: the eBPF hooks in the kernel, the interfaces, the in-kernel eBPF infrastructure to execute eBPF bytecode and compile into native code and verify the code and finally the eBPF application itself, which can be written in a C like dialect and compiled into eBPF bytecode by LLVM and GCC.

This thesis aims to analyze and compare the idle governors in the current Kernel in specific situations. It also should provide insight in the C-State usage depending on the architecture. The data is acquired using specific Tracepoints within the Kernel, which can be recorded and parsed with the Kernel Tool perf. Furthermore, we explore the feasibility of a custom eBPF powered idle governor.

MA : Design and Implementation of a Memory Prefetching Mechanism on an FPGA Prototype

Design and implementation of a memory prefetching mechanism on an fpga prototype.

Their main advantages are an easy design with only 1 Transistor per Bit and a high memory density make DRAM omnipresend in most computer architectures. However, DRAM accesses are rather slow and require a dedicated DRAM controller that coordinates the read and write accesses to the DRAM as well as the refresh cycles. In order to reduce the DRAM access latency, memory prefetching is a common technique to access data prior to their actual usage. However, this requires sophisticated prediction algorithms in order to prefetch the right data at the right time. The Goal of this thesis is to design and implement a DAM preloading mechanism in an existing FPGA based prototype platform and to evaluate the design appropriately. Towards this goal, you'll complete the following tasks: 1. Understanding the existing Memory Access mechanism 2. VHDL implementation of the preloading functionalities 3. Write and execute small baremetal test programs 4. Analyse and discuss the performance results

• Good Knowledge about MPSoCs
• Good VHDL skills
• Good C programming skills
• High motivation
• Self-responsible workstyle

Oliver Lenke

[email protected]

MA : SmartNIC Enhancements for Network Node Resilience

Smartnic enhancements for network node resilience.

The Chair of Integrated Systems participates in the DFG Priority Program “Resilient Connected Worlds” by the German Research Foundation (SPP 2378). Our goal is to investigate which resilience functions, that conventionally are provisioned by the central compute resources of Internet Networking or Compute Nodes, can meaningfully be migrated onto the Network Interface Card (NIC). By inspecting packet streams at full line rate (10 – 40 Gbps) a set of resilience functions, such as access shields against a known set of traffic flows or redundant flow processing for a selected and configured number of flows, shall be offloaded from centralized compute resources and offered in a more performant and energy-efficient manner. Flows are identified by their so-called 5-tuple consisting of source-/destination IP addresses and transport protocol ports as well as the protocol field of the IP packet header. During the Bachelor/Master Thesis, you will develop VHDL code for realizing one or more of the SmartNIC Resilience building blocks: 5 tuple address matching against a preconfigured set of addresses, perform the packet duplication for delivery to different processor cores or threads, investigate methods to flexibly perform the address match on the entire or a variable subsection of the 5 tuple array.

• VHDL coding, synthesis and FPGA prototyping
• Braodband communication or Internet Networking Technologies, in particular OSI Layer packet header formats
• Digital circuit design

Marco Liess Room N2139 Tel. 089 289 23873 [email protected]

MA : Parsimonious Semantic Segmentation Training Using Active Learning and Synthetic Data

Parsimonious semantic segmentation training using active learning and synthetic data.

The goal of this thesis is to implement an augmentation pipeline for both runtime accuracy improvement and training time generalization. At training time the augmented examples add diversity to the dataset, while at runtime the augmentation injects more information in addition to the RGB color channels, to help the CNN detect semantic segmentation features. The thesis will also explore different loss formulas and loss learning to make training semantic segmentation easier with fewer labeled examples. Finally, the CNN will be pruned and quantized for faster execution, while the rest of the processing (pre, post) pipeline will be accelerated on GPU.

To successfully complete this project, you should have the following skills and experiences:

• Good programming skills in Python and Tensorflow
• Good knowledge of neural network training theory
• Experience with convolutional neural networks for semantic segementation

The student is expected to be highly motivated.

Nael Fasfous Department of Electrical and Computer Engineering Chair of Integrated Systems

Phone: +49.89.289.23858 Building: N1 (Theresienstr. 90) Room: N2116 Email: [email protected]

MA : Neural Style Transfer for Synthetic Data

Neural style transfer for synthetic data.

Neural networks have become the state-of-the-art in solving a variety of computer-vision problems, often outperforming classical image processing algorithms by a large margin. These applications range from autonomous vehicles to complex control of robots. However, training neural networks presents some difficulties. First and foremost is the cost of human effort to label and collect suitable training data (number and critical situations) in production environments for training purposes. Synthetic training data is one potential solution to this challenge.

In the context of this work, a neural network for the control of an automated production line should be trained using synthetic data. For this purpose the following milestones planned:

• Developement of a 3D-model for the generation of training data.
• Automatic synthesis of images and ground truth data to train the image processing algorithm.
• Adaptation of the synthetic training data to the real world (style transfer)
• Outperforming neural networks classically trained on limited amount of real data

Alexander Frickenstein Email: [email protected]

MA : Anomaly Detection and Active Learning for Semantic Segmentation Tasks

Anomaly detection and active learning for semantic segmentation tasks.

Clean, labeled datasets are an invaluable asset to research and industry for training and deploying machine learning algorithms such as convolutional neural networks (CNN). Procuring such datasets involves data collection, sorting and labeling, all of which are typically done by humans. This expensive process is time consuming, costly and does not scale well, even when outsourced. The field of anomaly detection and active learning aims to tackle these challenges. In active learning, a CNN can be trained on a small set of labeled data. Once deployed in a real-world scenario, an uncertainty or loss predictor can be implemented alongside the algorithm to predict which data would result in high loss for the model. These non-trivial examples can be collected actively during deployment and forwarded to humans or more complex algorithms to observe, label and retrain the deployed CNN on. In anomaly detection, a network can predict which samples represent outliers or interesting anomalies with respect to the rest of the dataset. This further helps humans clean and sort such examples accordingly.

The goal of this thesis is to implement an anomaly detector and an uncertainity head to a CNN-based semantic segmentation application. The implementation will be tested on a real-world industrial AI application.

MA : Learning to Prune and Quantize Transformers

Learning to prune and quantize transformers.

Advances in the deep learning architectures for computer vision applications have lead to new neural architectures such as vision transformers. These differentiate themselves from typical convolutional neural network-based implementations by decoupling the process of feature aggregation and transformation. Excellent performance is achieved through self-attention and self-supervision.

In this master thesis, visual transformers will be implemented in the first step. Following verification of state-of-the-art results, the transformers will be compressed through quantization and pruning to minimize their computational complexity on the inference hardware.

• Good knowledge of neural networks, basic knowledge of transformers

MA : Sparse Lookup Tables with dynamic precision adaptation for image processing on FPGA

Sparse lookup tables with dynamic precision adaptation for image processing on fpga.

In image processing, non-linear transfer functions, such as sigmoid- or logarithm-shaped functions, are being used for mapping the input into different domains. For dedicated FPGA implementation of general image processing pipelines, these transfer functions are usually implemented by LUTs (Lookup Tables). Although the LUT-based method is more concise than some approximate direct implementation, it consumes a lot of resources. To save FPGA resources, sparse LUTs can be used, but it is to be noticed that the matching accuracy is then approximated to a certain acceptable range.

To further reduce the resource consumption, while maintaining or even improving the output accuracy, we propose a dynamic loading mechanism. In order to make full use of the resources on the chip, instead of placing one sparse LUT on chip, two function-wise complemented memory blocks shall be implemented in the data path of the processing pipeline. One of the memory blocks shall be filled only with the data points that fit the local range of current input data stream. Another one works as a general ultra-sparse LUT to map the input data into the inaccurate global range. In summary, a permanent memory block of very sparse/inaccurate data points should be kept on FPGA, which is then complemented by a memory block of accurate data points which are dynamically swapped in and out from an off-chip memory (DRAM). Based on this proposal, we need to investigate a dynamic loading mechanism for that accurate memory block, such that the input will fall into the local range with rational high probability.

In this work, a prototype of a sparse LUT with a dynamic precision adaptation mechanism should be developed on FPGA. In this thesis, several questions should be answered:

• How does the architecture of the implementation look like?

• What memory configuration should be used?

• How to determine when to load new data for the accurate memory block?

• What is the trade-off between accuracy and resource consumption?

MA : Runtime Reconfigurable Winograd-based FPGA Accelerator for CNN Inference

Runtime reconfigurable winograd-based fpga accelerator for cnn inference.

Convolutional neural networks have proven their success in extracting features from images and producing predictions for different tasks such as classification, segmentation and object detection. However, the superior performance of modern deep neural networks can be mostly backtracked to high model complexity and extensive hardware requirements. In this research internship, the complexity of convolution is reduced by quantization and Winograd minimal filtering algorithms. The prediction quality is regulated using dynamic reconfigurable Winograd acceleration. 

• Good programming skills in C/C++
• Good knowledge of neural networks, particularly convolutional neural networks
• VHDL/Verilog or OpenCL would be encouraged. 

The student is expected to be highly motivated and independent. By completing this project, you will be able to:

• Understand the impact of quantization, Winograd convolution and task specific accuracy. 
• Implementation of run-time reconfigurable Winograd Convolution on FPGA using OpenCL. 
• Evaluate trade-offs between flexibility, prediction accuracy and resource consumption

Manoj Vemparala Autonomous Driving BMW AG

Email:   [email protected] 

Nael Fasfous

Department of Electrical and Computer Engineering Chair of Integrated Systems

Phone:  +49.89.289.23858 Building:  N1 (Theresienstr. 90) Room:   N2116 Email:   [email protected]

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• Associate Professorship of Travel Behavior
• TUM School of Engineering and Design
• Technical University of Munich

Typical Structure of a Bachelor's or Master's Thesis

Most thesis are structured as shown below. Each part may be split into several chapter. For example, the part introduction may have two separate chapters for a the general introduction to the topic and the research question. But the parts commonly appear in the following order:

• Acknowledgement (Optional)

Table of Contents

1. introduction, 2. literature review, 3. data collection, 4. analysis, 5. conclusions, list of references, statement of independent work.

• Appendix (Optional)

TUM provides a template for theses that is recommended to use. You can download this template in Word or LaTeX format (login with your TUM account required to access).

There is no mandatory length of a thesis. Most well-written master's theses have between 50 and 80 pages, Bachelor's theses typically have between 40 and 60 pages. However, depending on your topic and your writing style, more or fewer pages may be appropriate. Be aware that your thesis will only be evaluated based on the written document and the defense. If you did some nice work (that you might have shown to your adviser at some point) and forget to add it to your written document, it cannot be evaluated.

The title page should include the following information:

• Technical University of Munich Logo
• Title of the thesis
• Subtitle of the thesis (optional)
• Full author name
• Name of advisers

It is also nice (but optional) to add a pretty graphic from your research to the title page.

Acknowledgement

In this part, you acknowledge any support you may have gotten while preparing your thesis. For example, if an agency provided you with data, you definitely should thank them here. It is also not uncommon to offer personal thank to friends and/or family who supported the thesis. You may also mention your adviser if (s)he was helpful, but that is optional of course.

If you received a scholarship that supported you during the time you wrote your thesis, you definitely should acknowledge that support here as well.

The summary is a key part of your thesis and part of what is evaluated by your thesis committee. Make sure to reserve sufficient time at the very end to write a very good summary. The summary should be about one page long and include your research question, describe the data you used, briefly describe the methodology applied and (very important) also summarize the results you found.

The table of contents lists all chapters and subchapters of your thesis and provides the page number where each chapter starts. Word and LaTeX offer automated functions to create a table of contents if you defined headers properly. Make sure to update the table of contents before you print to ensure that all page numbers are correct.

Following the table of contents, you also need to provide a list of figures and a list of tables. Likewise, these lists also provide the page number where the figures and tables can be found. Again, word and LaTeX provide automated functions for creating such lists.

The introduction shall provide the reader with an entryway to your topic. Commonly, the introduction is not too technical and provides the reader with a very general introduction why the topic of the thesis is relevant. Empirical examples are particular popular in introductions (make sure to provide citations), such as:

Thesis Topic: Managing Freight Flows to Reduce Highway Maintenance Costs

The first sentence of introduction could be: Freight flows largely define the costs for maintaining infrastructure, as the rear axles of a typical 13 ton van cause 1,000-times the structural damage of a car (Small, Winston, and Evans 1989: 11).

The introduction should also provide at least one research question that you try to answer. Last but not least, the introduction should also introduce the structure of the thesis (i.e., which chapters the reader should expect) in one paragraph.

The literature review is a core element of your thesis and shows that you are capable of working scientifically. As you explain what other researchers have found on your topic, the reader will realize that you know this topic extremely well. This will build trust that you can provide a piece of work yourself that is scientifically relevant.

Equally important, you will need to identify a gap in the literature that you intent to fill. This is how you justify your thesis, and it helps the reader to assess the importance of your work. This gap may be methodological ("I will develop a new method that is able to answer my research question, which previously applied methods cannot as well."), use new data ("Other researchers used database X, but I will use data retrieved by Y."), or a new application ("This method has never been applied to the city of Munich.").

Describe in detail which data you use and how you collect these data. This may include qualitative data ("I analyze these in-depth travel behavior surveys."), or statistics you use, or data you collect yourself. The description should be as detailed that a very good fellow student in your field would be able to more or less reproduce your work.

If you conduct a case study, the study area needs to be introduced here.

Obviously, here you describe in great detail the actual analysis you conducted. The level of detail should be sufficient to allow a very smart fellow student in your field to reproduce more or less your research.

The most important at the beginning: The chapter Conclusions does not contain a summary of your thesis! The summary is provided in the abstract of the beginning of your thesis, but not here.

Instead, the conclusions shall do what the title suggests: Synthesize your findings and conclude what we learn from that. It will be useful to refer to your research question(s) and discuss if those were confirmed or rejected by your research. You may also refer back to you literature review and compare your findings with the findings that others have published.

This is also a good place to talk about limitations of your research. By clearly stating what your research is not able to do well, your thesis becomes stronger. If you show that you understand what your methodology misses, you show the reader that you understand very well what you research has accomplished, and what may need further research.

Which brings us to another topic you should touch on in your conclusions: What are future research needs? If a fellow student of you wanted to build on your research, what would be the next logical step that (s)he should try to address?

Last but not least, you may also assess if your findings have practical implications. Examples: Should waste water engineers use an additional test to assess water quality? Should transportation planners use different data to assess the level of service?

Here you list all references that were cited in your work, and only those references. References you read but did not cite do not appear here. After all, they were not relevant enough for this thesis to be cited, so they do not belong in your list of references.

If you use a reference management system (highly recommended), the list of references is created automatically. LaTeX also nicely integrated with Bibtex to automatically create a list of references. TUM offers Citavi and Endnote for free to students (access here , log in required), and there are a number of other systems that also may work well for you (see this list on wikipedia).

Finally, you need to provide a statement that reads as follows:

In German: Ich versichere hiermit, dass ich die von mir eingereichte Abschlussarbeit selbstständig verfasst und keine anderen als die angegebenen Quellen und Hilfsmittel benutzt habe.

Or in English: I hereby confirm that this thesis was written independently by myself without the use of any sources beyond those cited, and all passages and ideas taken from other sources are cited accordingly.

Appendix (or Appendices)

You may provide additional information in appendices. Some researchers are of the opinion that if something is important it should go into the main body of the thesis; and if it doesn't deserve being in the main body of the thesis, it should not be provided at all. Others say that is may be useful to provide extensive tables, mathematical proofs or series of graphics in the appendix if they are not required to understand the main text but useful for the interested reader.

It is very uncommon to provide a single graphic or a single table in the appendix. Those usually work better in the main body of the text. Commonly, only material that covers several pages would go into the appendix, it it distracts the reader if all those materials were shown in the main body of the thesis.

Extensive appendices may be left out in the printed version and only be provided on a CD or a thumb drive. Note, however, that some advisers refuse to open any files stored on a CD or a thumb drive while evaluating your thesis. As a rule of thumb, your thesis needs to be understandable without reading any appendices.

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Research Phase and Master’s Thesis in the M.Sc. Quantum Science & Technology

During the last year of the Master's program Quantum Science & Technology, you will have the opportunity to work on exciting research topics in the unique research of the Munich Center for Quantum Science and Technology. During this so-called research phase, you can choose from an extensive number of research groups and current projects.

Research Phase

Current info events.

• 2024-04-26 | 15:00 : Information on Research Phase, Master's Thesis, and End of Studies in the Master’s Program Quantum Science & Technology Speaker: Prof. Dr. Alexander Holleitner Prof. Dr. Martin Brandt , Place: James-Franck-Str. 1

The structure of the research phase

The one-year research phase (60 ECTS) involves three modules. The first module, called Master’s seminar, is devoted to gathering the specialized knowledge needed for a cutting-edge line of research through a detailed study of the relevant research literature. The second module, called Master’s work experience, focuses on acquiring the technical skills, experimental and/or theoretical, needed for conducting the research project of the Master’s thesis. The first two modules form an intrinsic unit and together account for 30 ECTS. The Master’s thesis forms the third module and accounts for 30 ECTS. It involves completing an independent research project, submitting a written Master’s thesis, and orally defending it in a Master’s colloquium.

During the research phase, the completion of an independent scientific project also involves the acquisition of additional skills such as project management, team-work, and the presentation of scientific results.

Finding a topic

For this program, the Examination Board has created a list of possible thesis supervisors; they are listed below. To find a topic, please contact the possible thesis supervisors yourself.

The thesis supervisors have the possibility to advertise topics (supervisors see "Access for supervisors" on the right). However, not all possible topics are advertised here, so it is advisable to ask the thesis supervisors directly

Furthermore, it is advisable to start searching for a suitable topic early, about one semester in advance. In a personal interview, you can quickly see whether a topic appeals to you and whether you feel comfortable in the group. We discourage you from simple e-mail exchange, as it is usually not successful.

Who can be my supervisor?

The following faculty members of the two universities TUM and LMU have been included by the examination board into the list of potential supervisors for QST research phases/Master's Theses:

• Prof. Dr. Monika Aidelsburger
• Dr. Matthias Althammer
• Prof. Dr. Wilhelm Auwärter
• Prof. Dr. Christian Back
• Prof. Dr. Johannes Barth
• Prof. Dr. Mikhail Belkin
• Prof. Dr. Immanuel Bloch
• Prof. Dr. Holger Boche
• Prof. Dr. Folkmar Bornemann
• Prof. Dr. Martin Brandt
• Dr. Dominik Bucher
• Prof. Dr. Ignacio Cirac
• PD Dr. Frank Deppe
• Dr. Kirill Fedorov
• Prof. Dr. Stefan Filipp
• Prof. Dr. Jonathan Finley
• Prof. Dr. Steffen Glaser
• Prof. Dr. Rudolf Gross
• Prof. Dr. Fabian Grusdt
• Prof. Dr. Christian Hainzl
• Prof. Dr. Alexander Högele
• Prof. Dr. Alexander Holleitner
• PD Dr. Hans-Gregor Hübl
• Prof. Dr. Reinhard Kienberger
• Prof. Dr. Michael Knap
• Prof. Dr. Johannes Knolle
• PD Dr. Gregor Koblmüller
• Prof. Dr. Robert König
• Prof. Dr. Barbara Kraus
• Prof. Claudia Linnhoff-Popien
• PD Dr. Jeanette Lorenz
• Prof. Dr. Daniel Matthes
• Prof. Dr. Christian Mendl
• Prof. Dr. Kai Müller
• Prof. Dr. Christian Pfleiderer
• Prof. Dr. Thành Nam Phan
• Prof. Dr. Lode Pollet
• Prof. Dr. Frank Pollmann
• Prof. Dr. Menno Poot
• Prof. Dr. Peter Rabl
• Prof. Dr. Andreas Reiserer
• Prof. Dr. Gerhard Rempe
• Dr. Christian Schilling
• Prof. Dr. Ulrich Schollwöck
• Prof. Dr. Thomas Udem
• Prof. Dr. Jan von Delft
• Prof. Dr. Simone Warzel
• Prof. Dr. Harald Weinfurter
• Prof. Dr. Michael Marc Wolf

Filtering in the offers for possible theses

You can search through the offers of Master’s thesis topics in our database.

Offers of Master’s thesis topics

Registration for the research phase.

Registration for all three modules of the research phase is done simultaneously in the Dean's Office (Dekanat) of TUM Physics, usually at the beginning of the third Master’s semester. Registration requires a signed certificate of mentor counseling . After agreeing on a topic with the future supervisor, students can print out the registration form from the student access website.

After six months the Master’s thesis should begin. Passing the Master's seminar and the Master's training will be recorded in TUMonline and you are officially alowed to start the thesis.

Submitting the thesis, obtaining a grade

Before handing in the Master's thesis, you need to update the final titel of the thesis in the database ( student access ) and upload an electronic copy (PDF-file). Afterwards, you have to hand in two printed versions in the Dean's Office (Dekanat) at TUM Physics Department. Alternatively you may hand in the rpinted copies via postal mail – use the submission letter you may generate on the status page after uploading the thesis PDF for this. The submission letter (as well as the submission form at the Dean’s Office) especially contains the required statement according to §18 paragraph 9 APSO.

You have to hand in the thesis at the latest on the deadline, please keep this on mind. The thesis is not handed in until the two paper copies and the signed submission form (or the signed submission letter for postal submission) physically arrived at the Dean’s Office! If the two copies and the submission letter are given into the mail without any delay we can interpret the date of uploading the PDF file as submission date retroactively.

Extension of the deadline is only possible for good reasons. See FAQ on Thesis extension .

The Master's thesis will be evaluated by the supervisor and a second examiner. The second examiner is appointed by the examination board on suggestion of the supervisor (after the official registration of the Master’s thesis).

The supervisor and the second examiner will also attend and assign a grade for the Master’s colloquium, which completes the research phase.

Re-enrollment during the research phase

To participate in any examination, you have to be enrolled as a student of TUM. Therefore, if you submit your Master’s thesis or give your Master’s colloquium after the end of the fourth semester, you have to re-enroll for one more semester.

For example, if the due date for your thesis or the scheduled date for your colloquium is in October, you should not forget to re-enroll for the winter semester. The regular deadline for re-enrollment in WS is August 15.

The Master’s colloquium

The advisor for the research project organizes the Master’s colloquium and grades it together with the second examiner. The Master’s colloquium takes approximately 60 minutes, consisting of an oral presentation and an examination of 30 minutes each. Naturally, the Master’s colloquium may be conducted in the context of a group seminar.

Completing your Master’s studies

At the end of the semester in which you reached the required 120 ECTS in your QST Master’s program and passed all required exams, you will be exmatriculated (according to §13(1) enrolment rules of TUM). In most cases, the Master’s colloquium will be the last exam to be completed to reach this point.

Taking further exams and final documents

In principle, you may take further exams after reaching the 120 ECTS, i. e., to improve your grades with different elective courses. For this reason, the final documents can generally not be generated before the date of your exmatriculation. In case you do need the final documents (or even preliminary documents) earlier, you have to request them explicitly. See the Remarks on end of studies and final documents for further information.

Computation of the final grade

The final grade is the ECTS-weighted average of all graded exams.

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Find & use dissertations.

Google Custom Search

Wir verwenden Google für unsere Suche. Mit Klick auf „Suche aktivieren“ aktivieren Sie das Suchfeld und akzeptieren die Nutzungsbedingungen.

Hinweise zum Einsatz der Google Suche

• Chair of Information Systems and Business Process Management
• TUM School of Computation, Information and Technology
• Technical University of Munich

Theses at the Chair of Prof. Rinderle-Ma

• All theses have to be written in English (at our chair).
• All theses have to be written in LaTeX (use Template for import in ShareLatex/Overleaf or local writing).
• All prototypes created as part of theses are to be hosted on our servers, thus Linux/backend and programming knowledge is mandatory.

We highly recommend to attend the (Master-)Seminar - Scientific Methods in Information Systems in advance.

Please send all applications with a CV, Grade Report (Leistungsnachweis), and an Application Form (including a detailed motivation). Contract work for companies is not a thesis. Please note that every thesis must make a separate, independent scientific contribution. External topics can be supervised only when there is a close link to the research topics and areas of competence of this research group.

Please always contact us with your tum/cit.tum e-mail adress (emails from other addresses will not be answered).

Contact: [email protected] , [email protected]

Bachelor Thesis Topics

The topics listed below are examples, concrete topics will be discussed in the regular meetings, to which you are invited after sending all necessary application documents.

Prerequisite for a thesis at this chair: Einführung in die Wirtschaftsinformatik (IN0021) and one of the Practical Courses / Seminars of the Chair.

• Robot Palletizing
• Robot Movement to Process Model
• Process Tree Difference Calculation and Visualization  
• Process Data Flow Visualization (SVG)
• Process Resource Visualization (SVG)
• Process Model Generator for CPN IDE

Master Thesis Topics

Prerequisite for a thesis at this chair: Business Process Technologies and Management (IN2105) or one of the Advanced Practical Courses of the Chair.

• Process Engine Based Edge Nodes for High Performance Sensor Data Collection
• Conformance Checking in Processes Choreographies
• Privacy and Confidentiality Mechanisms for Process Mining
• Equivalences and Properties of Petri Nets vs. Block-structured Business Process Modeling Languages
• Master Thesis: Overcoming Challenges in Integrating Process Engines in Engineering Processes

Theses at the KrcmarLab

Please note that since Prof. Krcmar retired in October 2020, he only supervises selected topics. You can find topics offered by his research group in the list below.

If you want to apply for a student thesis or project at the KrcmarLab, please send the following documents directly to the contact person indicated in the topic offering and give us your motivation for the chosen topic(s) in your application letter/email:

• Application form  (max. three topics): application form
• Current grades ("Notenauszug") from TUMonline

The following guidelines apply for theses and projects at the KrcmarLab:

• Theses can be written in German or in English
• Theses can be written using Word or LaTeX
• Guidelines for student theses and projects at Krcmar Lab: Deutsch | English
• Reader for scientific writing: Deutsch | English
• Example of thesis formatting: Template

CURRENT THESIS TOPICS: 

• Competing in the Age of Algorithms: Rethinking Business Models for the AI Economy (in cooperation with QUT, Brisbane) (MA)
• Stratification and dynamics of the cloud market in Germany  (MA/Guided Research)
• Digital Health Interventions & Applied AI in Healthcare: Predicting Overcrowding in the Emergency Department (MA)

*BA = Bachelor's Thesis, MA = Master's Thesis, IDP = Interdisciplinary Project, GR = Guided Research

Theses at the Wittges Lab

You can find topics offered by Wittges research group / SAP UCC in the list below.

If you want to apply for a student thesis or project at the Wittges Lab, please send the following documents directly to the contact person indicated in the topic offering and do not forget to include your motivation for the chosen topic(s) in your application letter/email:

The following guidelines apply for theses and projects at the Wittges Lab:

• Please note that Bachelor's theses are oriented around the Information Systems degree programme and have a duration of 5 months. Therefore students of Information Systems are prioritised when assigning topics
• Save Memory With Sap Hana With Data Tiering (MA)
• Context Data infusion in Pre-Trained Large Language Models (MA)

Natural Language Processing on IBM Power Hardware for ML-driven Support Ticket Classification (BA/MA)

BA = Bachelor's Thesis, MA = Master's Thesis, IDP = Interdisciplinary Project

Google Custom Search

Wir verwenden Google für unsere Suche. Mit Klick auf „Suche aktivieren“ aktivieren Sie das Suchfeld und akzeptieren die Nutzungsbedingungen.

Hinweise zum Einsatz der Google Suche

• Chair of Psychology
• TUM School of Management
• Technical University of Munich

FINAL THESIS AT THE CHAIR OF PSYCHOLOGY (BACHELOR/ MASTER)

Are you interested in psychology and looking for an exciting topic for your final thesis ( bachelor/master )? Then apply to the Chair of Psychology! We offer an open and constructive work atmosphere in a young, dynamic, and international team.

We conduct both basic and applied research on the intersection of motivational, industrial, and organizational psychology. Here, we deal with questions regarding implicit and explicit motives, volition (willpower), intrinsic motivation, flow experiences, action regulation, (romantic) workplace relationships, and transformational leadership.

APPLICATION PROCESS

STEP 1: Find your topic and supervisor

Check out all ongoing research projects at the Chair by inspecting each team member’s profile and research interests. Our  team page  can help you in finding the right supervisor with the right topic!

STEP 2: Prepare your application documents and contact us

If you already have a topic for your thesis in mind or are interested in a particular research area offered, please send an email directly to the team member involved in this research field.  Please note:  Your email should include a few setences on your motivation  ("what made you apply?"), how you fulfill the hard criteria stated under "WHAT WE EXPECT" as well as your CV and  transcript of records (one PDF). We will get in touch with you as soon as possible!

STEP 3: "Meet & Greet" with your potential supervisor

Depending on the team member’s capacity, she/he will either send you a rejection email or schedule a “Meet & Greet”-appointment in which you receive more information on her/his research field and the Chair’s thesis procedure. Please note:  In preparation for the meeting, thoroughly read our guidelines and policies made on final theses at the Chair of Psychology (see here ). Since we now encourage manuscript-style theses instead of "classical" theses, some parts might be obsolet (ask your potential supervisor!). However, the document still provides you with a good overview!

STEP 4: Agreement on the topic and type of your thesis

After you have spent some time reading on the topic(s) that aroused your interest, you will meet again with your supervisor and agree not only on your thesis topic but also on the type of thesis (empirical/theoretical and manuscript-style or classic).

STEP 5: Write a short proposal

Before registering your thesis, we want you to write a short thesis proposal of max. 3 pages (see here  for more information). In it, you will refine your research question, build the thesis structure, and organize/schedule milestones for your research work in the form of a timeline. It will also serve as a “contract” for the thesis content after you have registered for your thesis in the next step.

STEP 6: Registration of your thesis

In the last step, your supervisor officially registers your thesis at the Examination Office. Once your thesis is registered, you must submit your bachelor’s/master’s thesis within the next 3/6 months. Please note:  Please read, sign, and send the following  declaration  to your supervisor via email. In case of manuscript-style theses, please read, sign, and send the following additional document .

WHAT WE EXPECT

1) Hard criteria (mandatory):

Prior experience with/knowedlege of  empirical research methods  including basic quantative statistics (descriptive statistics, regression, mediation/moderation, etc.) and their implementation with a software of your choice (SPSS, R, JASP, etc.).

In your first email to your potential supervisor, you need to inform him/her how you fulfill this requirement. Either by providing him/her with convining information on your statistical background or by referring to one of the courses listed below:

• Bachelor's thesis: Successful participation (min. grade 2.3) in the module “ Empirical Research Methods ” (WI000261)
• Master's thesis:  Successful participation (min. grade 2.3) in the module “ Introduction to Statistics Using R ” (MGT001243)  

2)   Soft criteria (desirable):

• Empirical or theoretical/conceptual thesis in manuscript style suitable for publication
• Preferred language: English
• Time: 3/6 months full time for bachelor’s/master’s theses
• Pages: 20-30 pages for bachelor’s/master’s theses (rule of thumb) in manuscript style suitable for publication
• APA (7 th  Edition) formatting
• Presentation of your thesis in our research colloquium
• Prior experience with psychological/motivational/statistical topics - for instance, gained in one of our seminars/lectures offered by the Chair of Psychology
• Access to rare populations/samples - for example, companies

WHAT WE OFFER

• Insights into psychological/motivational/statistical topics, highly relevant for your future career in or outside of academia
• One-to-one mentoring including regular feedback
• Our greatest attention because your thesis directly supports our research – your success is our goal (win-win situation)
• Access to the Chair’s research laboratory “MotivaTUM” with 20 experimental PCs for empirical research studies
• A challenging but supportive work environment in which having fun never falls too short (see point 6)
• Table soccer and best coffee at TUM

DOWNLOAD SECTION

• Richtlinien zur Erstellung von Abschlussarbeiten
• APA Guidelines
• APA Word Template
• APA Sample Paper
• Cover Page Thesis
• Declaration of Authenticity and Data Usage
• Declaration of Authorship
• Manuscript-Style Thesis
• Information Sheet - Registering your thesis at TUM SOM
• Information Sheet - Submitting your thesis at TUM SOM

In case you should have general questions concerning final theses at the Chair of Psychology, please do not hesitate to contact us by email!