master thesis sample germany

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• Professur für Verkehrsverhalten
• TUM School of Engineering and Design
• Technische Universität München

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.

Points to take into account while writing your master's thesis

The topics you can choose for a master's thesis should be highly relevant for practice and policy and the thesis should to be empirically grounded.

Process of a master's thesis

• Discuss a possible topic with Prof. Liudvika Leišytė.
• Write a 2-page proposal (incl. title, table of contents and timeline of the thesis).
• Get approval for this by Prof. Leišytė.
• Prof. Leišytė will write a letter to the Central Examinations Office to declare that she will be your supervisor.
• Write the thesis: in the process, make sure to send the questionnaire for surveys or interview schedules to Prof. Leišytė to get approval before you start your empirical work.
• Submit your thesis to the Section Central Examinations Office, Dez. 4.3.

Type and time frame of the master’s thesis

• Generally, all theses at the Professorship are empirical (i.e. the self-organized collection and analysis of data is part of every thesis). This type of thesis has a time frame of 26 weeks (for details see the Prüfungsordnung ).
• In exceptional cases, theoretical theses are accepted. The specific topic must then be discussed and agreed on with Prof. Liudvika Leišytė. The time frame for this type of thesis is only 17 weeks.

The time frame (count of weeks) starts with the registration of your topic (letter from Prof. Leišytė to the Central Examinations Office).

Topic of the thesis

The topic you choose should relate to the main research fields of the Professorship of Higher Education. Possible Topics:

• Innovation through organizational learning
• Stakeholder representation and characteristics in the boards of universities
• Promotion of collaboration at German universities: policies and practices
• Changing governance of universities and implications of this for their performance
• The implementation of gender policies in German universities
• Characteristics and challenges of an inclusive professional organization

Academic entrepreneurship

• Policies of German universities to promote spin off creation in Germany
• The characteristics of founders of new high tech ventures in Germany
• Motivations of academic entrepreneurs to patent
• Gender and entrepreneurship: evidence from patenting activities

Academic profession and managerialism

• The role of new public management on publication behaviour of academics
• The role of performance based systems on grant acquisition of academics
• Gender in academia: what are the gender differences in academic productivity?
• Challenges of integration of foreign knowledge workers in Germany

Preconditions

Master's theses at the Professorship of Higher Education are accepted according to certain preconditions and according to capacities of scientific staff:

• Bachelor's degree
• Successful completion of two seminars of the Professorship of Higher Education
• Parallel to master’s thesis: Participation in the Research Colloquium of the Professorship

For theses in the Master WiWi as well as the exam regulations (Prüfungsordnung) see: WiWi: Master of Science

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Master Thesis

Please find here information on writing master theses at the Department of Business Administration and Marketing.

General Information

1. requirements.

• Transcript of Records showing at least 78 credits
• Very good command of German and English
• Advanced skills in academic writing (e.g., database research, excerpting scientific literature)
• For more information, please see the exam regulations applicable to you.
• A focus on marketing, especially the successful completion of the seminar in marketing (M.Sc.) are highly recommended.

2. Module Information

• Credits: 24
• Time frame: 20 weeks

The time frame depends on the respective exam regulations of the study program of the student.

3. Schedule

• You will find information on the application for the bachelor thesis under #7 Application.
• Admission is granted only after successful application via the application form below. A confirmation of admission will be issued within a week of the deadline for applications.
• Customer Experience (Management)
• Digital Marketing
• Marketing and innovative technologies
• Sustainability Marketing
• Topics currently on offer

5. Topics by our Cooperation Partners

Our department supports praxis-oriented theses. If you are interested in the topics offered by our cooperation partners, please send your application directly to the partner in question. If you are chosen for a bachelor or master thesis by the company, the thesis can be registered and written at any time, independent of the application period listed below. For us to be able to supervise your thesis, the topic needs to have a focus on marketing questions and meet the standards of scientific theses. In order to ensure this, please send a research proposal (max. one page; content: topic’s relevance, research question, proposed method for answering the research question) as well as the company's acceptance of your application as one single PDF document to  [email protected] .

The following companies currently offer topics for theses:

6. Examination

• Length: 60-65 pages (roughly 35 for a paper-based thesis)
• The guidelines for writing a thesis at the Department of Business Administration and Marketing apply.
• The number of approved applications is based upon the capacity of the department.
• Master theses cannot be written as a group.
• It is possible to write a master thesis in cooperation with a company.
• Language: German or English (with German summary)

7. Application

• Short letter of motivation (max. one page) including your matriculation number and a list of up to three preferred topics
• Current transcript of records
• Research proposal (max. one page) if you want to propose your own topic (topic’s relevance, research question, proposed method for answering the research question)
• Link to the application form
• Winter semester:  21.09. 12:00 pm   -  08.10. 12:00 pm
• Summer semester: 21.03. 12:00 pm   -  08.04. 12:00 pm

Leon Lehnert

Research Assistant

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Writing the Thesis

Schreiben der Dissertation / Writing the Thesis Image Credit: http://www.istockphoto.com

You can either submit a monograph or a cumulative thesis . As a general rule, both must be comparable/equivalent in terms of type and scope. The thesis must be written in one language throughout either English or German (with the exception of the German and English summary). This also applies to the acknowledgments and any quotes used. In exceptional cases, the doctoral board shall decide whether the requirement for a cumulative work to be entirely in either German or English can be waived if the work consists of articles in both German and English.

When preparing the dissertation, please observe the requirements of the Statute for Safeguarding Good Scientific Practice . If you have any questions about citations, please use the citation consultation hours at the University Library.

Please note: When you are submitting your dissertation to obtain the title "Dr. rer. nat.", the term "Ph.D." should not be used in the acknowledgements (or any other section) - this is a different title, which will not be awarded to you after a successful doctorate.

MONOGRAPH A monograph is a self-contained representation of the research work and its results. It may already be published completely or partially. Any publications related to the thesis have to be submitted separately. They must not be embedded in the thesis.

CUMULATIVE THESIS A cumulative thesis reports the scientific work done during the doctoral thesis using a set of research articles. In a cumulative thesis, the research articles (including supporting information/supplements) are an integral part of the thesis and have to be embedded in the scientific part of the thesis (like the chapters of a monograph). In addition to the research articles, an introduction, a list of references etc., a cumulative thesis must include an extended summary which has to go beyond the summary of the individual papers as it has to give an overarching discussion of the results described in the research articles. Although figures may be taken from the publications, the text should be genuinely new and should not be taken from the text of the individual publications. The contributions of the author must be described for each article individually, according to the requirements of the Statute for Safeguarding Good Scientific Practice.

A cumulative thesis must consist of at least two published or accepted publications. Only publications from journals with a peer review system will be considered. All additional publications might be in an earlier stage (in revision, submitted or in preparation). The version submitted cannot be changed or updated in the further course of the doctoral process, i.e. changes to the content as part of the publication process cannot be taken into account once the dissertation has been submitted. Only those articles qualify in which the doctoral student has made substantial contributions. The substantial contribution of the doctoral student to the respective articles must be confirmed by the supervisor of the thesis. This confirmation is requested by the doctoral office as part of the evaluation process. In case of manuscripts being accepted but not yet published, a confirmation of acceptance must be provided at the time of thesis submission; to this end, it is also possible to submit a separate list with DOI links.

For more information on writing a cumulative thesis, click here .

1) First page = cover sheet

Title Inaugural-Dissertation to obtain the academic degree Doctor rerum naturalium (Dr. rer. nat.)

submitted to the Department of Biology, Chemistry, Pharmacy of Freie Universität Berlin

year of submission

2) Second page:

Please name the time period, supervisor and institute of your doctoral studies.

1 st reviewer: _____________________ 2 nd reviewer: _____________________

Date of defense: ____________ (please leave the date open)

ATTENTION One reviewer must be research active in one of our departmental research areas. At least one reviewer must be a professor of the Department of Biology, Chemistry, Pharmacy, whose primary employment is with the university. (Retired, em., apl., hon. professors are not or no longer considered university teachers).

3) Third page: acknowledgment (if desired)

4) Declaration of authorship     Please use the following text:     I hereby declare that I alone am responsible for the content of my doctoral dissertation     and that I have only used the sources or references cited in the dissertation.

If you are writing an English-language dissertation, please note that all texts must be in English (with the exception of the German-language summary), including the acknowledgments and the declaration of authorship.

6) Summary in German and English

7) Main scientific part of the thesis (incl. introduction, method section, bibliography)

8) If applicable: List of publications

9) CV (voluntary)

10) Appendix

Typeface/line distance/formatting Sheet size: DIN A4 Font: an easy-to-read font (such as Arial). Font size: not less than 10 pt Line spacing: 1½ Margin: approx. 2.5 - 3 cm Unilateral and bilateral printing is accepted. The thesis has to be bound (no spiral or ring binding).

Answers to frequently asked questions (FAQ) can be found here.  

Read on for the next topic: Submission of the Thesis

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• Chair of Energy Efficient and Sustainable Design and Building
• TUM School of Engineering and Design
• Technical University of Munich

Completed Master's Theses

• Alian, Abdelrhman: A methodology for automatically evaluating outdoor thermal comfort based on publicly available CityGML data. Master thesis, 2024 more…
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• Elghamaz, Abdelrahman: Ökobilanzierung von Verkehrsflächen als Grundlage für die Erstellung eines praxisrelevanten Datenkatalogs. Master thesis, 2024 more…
• Oteniara, Yusuf Damilola: Technisch-ökonomische Analyse eines PV-Mini-Grid-Systems an einer Universität in Nigeria. Master thesis, 2024 more…
• Rafeiner, Moritz: Klimaneutrale Quartiersentwicklung. Master thesis, 2024 more…
• Vasu Govindaraj, Ramana: Strategies for Simulation-based Optimization for Energy Efficiency and Carbon Footprint: A parametric Case Study of a BMW Battery Assembly plant. Master thesis, 2024 more…
• Amansaryyev, Vepa: Cross-Framework Assessment of Circular Design and Nature-based Solutions for the Built Environment. Master thesis, 2023 more…
• Amelunxen, Alina: A Positive Change. Herausforderungen und Potenziale bei der Planung und Umsetzung von nachhaltigen und positiven Bauweisen in Deutschland. Master thesis, 2023 more…
• Elgenedy, Moataz: Die Rolle von Investoren und Mieter:innen bei der Dekarbonisierung von Wohngebäuden – Fallstudie anhand eines Wohngebäudes in München, Deutschland. Master thesis, 2023 more…
• Lippolis, Alessandro Riccardo: Parametrische Lebenszyklusanalyse. Master thesis, 2023 more…
• Liu, Chen: Exploring the Correlation between Building Circularity and Global Warming Potential (GWP). Master thesis, 2023 more…
• Lourenço Amorim, Bruna: Enhancing the Sustainability Assessment: A Multi-Criteria Decision Making Framework for Assessing Building Elements. Master thesis, 2023 more…
• Marx, David: Auswirkungen von Fassadenbegrünungen an Bestandsgebäuden auf das Innenraumklima. Master thesis, 2023 more…
• Mayr, Lea: Ökobilanzierung in Holzmodulbau und die Ableitung von Optimierungsmöglichkeiten für die Produktion. Master thesis, 2023 more…
• Mayr, Lea: Ökobilanzierung im Holzmodulbau und die Ableitung von Optimierungsmöglichkeiten für die Produktion. Master thesis, 2023 more…
• Pichurina, Mariya: Kommunale Einflussfaktoren auf nachhaltige Quartiersplanung. Master thesis, 2023 more…
• Rofail, Fady: Passive Anpassungsmaßnahmen zur Verringerung des Kühlbedarfs von Wohngebäuden. Master thesis, 2023 more…
• Schapfl, Cathrin: Integration ökologischer Nachhaltigkeitsstrategien in die Planung mehrgeschossiger Holzbauten. Master thesis, 2023 more…
• Schwarz, Stephanie: Integration dynamischer CO2-Emissionsfaktoren in die ökobilanzielle Untersuchung von betriebsbedingten und materialgebundenen Emissionen im Bauwesen. Master thesis, 2023 more…
• Simon Kreuzer: Untersuchung und kritische Beurteilung von Lebens- und Nutzungsdauern von Gebäuden und deren Komponenten im Kontext von Lebenszyklusanalysen. Master thesis, 2023 more…
• Zuther, Svenja: Analyse von Hemmnissen und Umsetzungsstrategien für Cradle to Cradle (C2C) im Wohngebäudesektor. Master thesis, 2023 more…
• Espinosa, Andres: SDG-driven design. Master thesis, 2022 more…
• Franziska Mader: Lost in Translation: Empirische Untersuchung der Bedeutung und Nutzbarkeit von Leitfäden zu nachhaltigem Bauen im bayerischen Bauwesen. Master thesis, 2022 more…
• Huang, Joshua: A Novel Risk-based Design Criteria for Urban Heat Island: A Case Study of Kempten, Germany. Master thesis, 2022 more…
• Kalaj, Egi: The change in outdoor thermal comfort due to different densification scenarios (horizontal/vertical). The effect of greening scenarios as a miti-gation measure in case of densification. Master thesis, 2022 more…
• Kaufmann, Janja: Bewertung der Kreislauffähigkeit von Gebäuden am Beispiel des Forschungsprojekts “Building.Lab“. Master thesis, 2022 more…
• Krauß, Matthias: Gebäudeerweiterung und Neubau im Vergleich. Master thesis, 2022 more…
• Kuehner, Elena: Wohnraum innerhalb des verfügbaren deutschen Treibhausgasbudgets planen. Master thesis, 2022 more…
• Lerner, Laura: Bauliche Nachverdichtung und Außenraum: Systemische Untersuchung der relevanten Einflussparameter und ihrer Wechselwirkungen nach dem Sensitivitätsmodell nach Prof. Vester. Master thesis, 2022 more…
• Lichtenwalter, David: Kompensationsmaßnahmen von Emissionen am Gebäude. Master thesis, 2022 more…
• Majewski, Sabrina: Lebenszyklusbasierte Bewertung von Nachverdichtungsszenarien. Master thesis, 2022 more…
• Oliver Abele: Gebäudedatensynthese mittels Machine Learning zur energetischen Bewertung großer Gebäudeportfolios. Master thesis, 2022 more…
• Perkuhn, Florian: Modellentwicklung zur Ermittlung der grauen Energie und Lebenszykluskosten von Baukonstruktionen unter Berücksichtigung einer CO2-Besteuerung. Master thesis, 2022 more…
• Rojas Sonderegger, Thomas Javier : Erstellung einer Recycling-Strategie am Beispiel der Konversion des Fliegerhorsts Erding. Master thesis, 2022 more…
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• Yadav, Prem Kumar: Energieeffizienz von Wohngebäuden in Nepal - Energetische Optimierung von Gebäudemodellen mit BIM-basierten Werkzeugen. Master thesis, 2022 more…
• de Souza Rocha, Fernanda Andreia: The environmental potential of circular economy strategies in the refurbishment and densification of residential buildings. Master thesis, 2022 more…
• Chyslovska, Oksana: Influencing Decisions in the Renovation Process: Wider Benefits as a Driver of Deep Energy Renovations. Master thesis, 2021 more…
• Empl, Benedikt: A New Evaluation Methodology to Identify the Effects of Sufficiency Aspects on the Sustainability of Residential Buildings. Master thesis, 2021 more…
• Hani, Christine: Entwicklung einer lebenszyklusbasierten Bewertungsmethodik für Gebäudeemissionen. Master thesis, 2021 more…
• Heydler, Anian: Klimapositive Gebäude - Die Rolle von Zertifikaten zur Bekämpfung der Klimakrise. Master thesis, 2021 more…
• Kellner, Fabian: Energiekonzept für die Umsetzung einer klimaneutralen Energieversorgung bei Rohde & Schwarz bis 2030. Master thesis, 2021 more…
• Patricia Schönauer: Umweltkosten im Holzmodul- und Massivbau - Ein Vergleich der Lebenszyklus- und Umweltkosten eines Schulneubaus aus Brettsperrholzmodulen bzw. Stahlbeton. Master thesis, 2021 more…
• Rucker, Valentin: Nachhaltigkeit als Chance für Projektentwicklung im Bestand: Case Study - Energetische Sanierung im ländlichen Raum. Master thesis, 2021 more…
• Shourov, Md. Mosheur: Echtzeitberechnung der Verdunstungskühlung durch Vegetation im städtischen Kontext. Master thesis, 2021 more…
• Valentini Fedrizzi, Nicole: Modeling the multiple benefits of water-efficient building renovation with Bayesian networks. Master thesis, 2021 more…
• Vyacheslav Parkhayev: Anwendung von Parameterstudien und statistischen Methoden zur Abschätzung von Sanierungsbedarfen einzelner Gebäude. Master thesis, 2021 more…
• Wolf, Maximilian: Generierung eines Sanierungsleitfadens für den privaten Wohnungsbereich. Master thesis, 2021 more…
• Yan, Xiyu: Nullenergie-Hochhäuser in Deutschland und China - Auswertung anhand einer Simulation. Master thesis, 2021 more…
• Ehlers, Nico: Reduktion eines thermischen Gebäudemodells durch Clusteranalyseverfahren am Beispiel der Hochschule München. , 2020 more…
• Eliasson, Asgeir;: Simulationsbasierte Analyse von nachhaltiger Gebäudetechnik. , 2020 more…
• Grießer, Martina: Grau vs. Grün? Master thesis, 2020 more…
• Hirsch, Isabelle: Grüne Infrastruktur im Planungsprozess. Master thesis, 2020 more…
• Höing, Marie Pax Aurelia : Analyse der weitreichenden Potenziale von Energieeffizienzmaßnahmen: Bewertung der Nachhaltigkeit von Sanierungsszenarien an einem öffentlichen Gebäude. Master thesis, 2020 more…
• Pinter, Saskia: Empirische Untersuchungen zum thermischen Komfort in Hochschulgebäuden. Master thesis, 2020 more…
• Slosharek, Benjamin: Evaluation ökologischer Nachhaltigkeit von Hochbauprojekten anhand von Bauprozessen. Master thesis, 2020 more…
• Stenzel, Valerie: Wissensdatenbank für Gruae Energie und Treibhauspotenzial von Baustoffen. Master thesis, 2020 more…
• Winklmann, Hannah: Nachhaltigkeitsbewertung von Büroinnenausbauten. Master thesis, 2020 more…
• Wittmann, Hannah;: Klimagerechte Sanierung und Nachverdichtung - Untersuchung verschiedener Baustoffe und Bauweisen im Hinblick auf ihre energetische und ökologische Qualität. , 2020 more…
• Wunderle, Verena;: Nutzung erneuerbarer Energien zur Wärmeversorgung von Gebäuden. Master thesis, 2020 more…
• Burkart, Tobias: Beurteilbarkeit von Kreislaufgebäuden mittels Ökobilanz. Master thesis, 2019 more…
• Dremel, Alexandra;: Entwicklung eines Bewertungssystems für nachhaltige Gebäude und Produktionsstandorte im Automobilsektor. Master thesis, 2019 more…
• Ermer, Sylvia: Material Passports. Master thesis, 2019 more…
• Fehlow, Moritz: Integration of electromobility into self-sufficiency systems for aparment buildings. Master thesis, 2019 more…
• Fernandina, Emilia; Valdebenito, Campos: Impact on the urban microclimate and thermal comfort by greening existing urban surfaces with native plants. Master thesis, 2019 more…
• Haberer, Marie;: Entwicklung einer Bewertungsmethodik zur Identifikation von Effizienzpotentialen beim Betrieb von Produktionsgebäuden. Master thesis, 2019 more…
• Heiß, Alexander: Materialitäten der Technischen Gebäudeausrüstung. Master thesis, 2019 more…
• Hofbauer, Anna: Systematische Analyse und Anwendung von potenziellen Methoden zur Ermittlung der direkten Umweltwirkungen von Gebäuden. Master thesis, 2019 more…
• Kriegl, Isabel: Entwicklung eines Mitarbeitermobilitätskonzeptes für das BMW Werk Spartanburg, USA. Master thesis, 2019 more…
• Kungurtseva, Kseniya: Veränderung der Materialzusammensetzung von Gebäuden im Laufe ihres Lebenszyklus. Master thesis, 2019 more…
• Loferer, Katharina;: Materialitäten der Technischen Gebäudeausrüstung. Master thesis, 2019 more…
• Maier, Matthias: Der urbane Metabolismus am Beispiel der Stadt München. Master thesis, 2019 more…
• Perschl, Marina: Analyse des Mehrwertes der Nachhaltigkeitszertifizierung WELL Building Standard. Master thesis, 2019 more…
• Scharnagl, Sophia Theresa: Wissenschaftlicher Ansatz zur Bewertung des Einflusses ökologischer Auswirkungen eines Gebäudes auf die menschlichen Grundbedürfnisse. Master thesis, 2019 more…
• Steiner, Elias: Approaching the Environmental Reasonableness of Implementing Vertical Farmin. Master thesis, 2019 more…
• Winkelkotte, Anne: Ökonomische und Ökologische Lebenszyklusbetrachtung von Gebäuden. Master thesis, 2019 more…
• Winklhofer, Christina: Entwicklung einer Gesamtstrategie für Nachhaltigkeit bei der Immolienprojektentwicklung. Master thesis, 2019 more…
• Winklhofer, Christina : Entwicklung einer Gesamtstrategie für Nachhaltigkeit bei der Immobilienprojektentwicklung. Master thesis, 2019 more…
• Adam, Martin: Empirische Erhebung zur Umsetzbarkeit von klimaneutralen Laborgebäuden. Master thesis, 2018 more…
• Adam, Matin;: Empirische Erhebung zur Umsetzbarkeit von klimaneutralen Laborgebäuden. Master thesis, 2018 more…
• Begana, Karim Fabian;: Unsicherheiten in BIM-basierten Ökobilanzierungen in frühen Entwurfsphasen. Master thesis, 2018 more…
• Bogenrieder, Martin: Nachhaltige Konversion innerstädtischer Industrieareale am Beispiel der Dachauer Papierfabrik. Master thesis, 2018 more…
• Burger, Nadja;: Nachhaltigkeitsbewertung für Forschungsgebäude im Vergabeverfahren. Master thesis, 2018 more…
• Buschka, Michael;: Methodik zur Typologisierung von Nichtwohngebäuden für die Anwendung von Ökobilanzen – am Beispiel deutscher Büro-, Verwaltungs- und Amtsgebäude. Master thesis, 2018 more…
• Deitert, Felix: Akteursstrukturen und Informationsflüsse bei der Nutzung von Materialausweisen für Gebäude. Master thesis, 2018 more…
• Deitert, Felix;: Akteursstrukturen und Informationsflüsse bei der Nutzung von Materialausweisen für Gebäude. , 2018 more…
• Goldschmitt, Freya;: Entwicklung des Materialeinsatzes bei Mehrfamilienhäusern in München. Master thesis, 2018 more…
• Greve, Marit: Wider benefits of energy efficient and deep renovation measures. Master thesis, 2018 more…
• Greve, Marit Andrea : Wider benefits of energy efficient and deep renovation measures: An adoptive methodology for a qualitative assessment of wider benefits. Master thesis, 2018 more…
• Groß, Michael; Hellmuth, Oliver; Jagfeld, Levi;: Potentiale des mehrgeschossigen Holzbaus - Bauteilkatalog zur ökologischen und ökonomischen Bewertung unterschiedlicher Konstruktionsmethoden im Wohnungsbau. Master thesis, 2018 more…
• Heiß, Thomas;: Modellvalidierung einer thermischen Gebäudesimulation anhand von Monitoring-Daten. Master thesis, 2018 more…
• Hug, Alexandra: Revitalisierung von landwirtschaftlichen Wirtschaftsgebäuden in Oberbayern. Master thesis, 2018 more…
• Hüfner, Daniel: Einflussfaktoren der Lebenszykluskosten von kommunalen Gebäuden auf die Instandsetzungskosten. Master thesis, 2018 more…
• Mrosk, Philip Christoph: Die Entwicklung einer Methodik zur Implementierung von ganzheitlichen Auswirkungen in die Amortisationsrechnung von öffentlichen Sanierungsprojekten. Master thesis, 2018 more…
• Müller, Jorgo;: Solar Engineering zum klimaneutralen Heizbetrieb von Gebäuden. Master thesis, 2018 more…
• Radlbeck, Sebastian;: Durchführung einer Stoffstromanalyse während der Bauphase anhand eines Fallbeispiels unter dem Aspekt der Abfallvermeidung. Master thesis, 2018 more…
• Schreck, Maximilian;: Radiative Cooling zur nachhaltigen Gebäudeklimatisierung. Master thesis, 2018 more…
• Stoiber, Tobias;: LCA der Technischen Gebäudeausrüstung von Büro- und Verwaltungsgebäuden anhand eines Fallbeispiels. Master thesis, 2018 more…
• Wießmeier, Franziska;: Nachhaltige Konversion innerstädtischer Industrieareale am Beispiel der Dachauer Papierfabrik. Master thesis, 2018 more…
• Wilhelm, Alexander: Analyse und Gegenüberstellung von zukünftigen Energieversorgungskonzepten. Master thesis, 2018 more…
• Wirtz, Julian;: Methode zur Behebung von Datendefiziten bei der Lebenszyklusanalyse von Gebäuden anhand eines Beispielgebäudes. Master thesis, 2018 more…
• Wolff, Carolin;: Development of a Computer-aided Framework to Facilitate Collaboration Between Architect and Engineer in Early Design Stages. Master thesis, 2018 more…
• Xiao, Jingyi: Entwicklung einer vereinfachten Methode zur Ermittlung und Bewertung des Kältebadrfs von Hochschulgebäuden. Master thesis, 2018 more…
• Zimmermann, Patrick;: Bewertbarkeit und ökobilanzieller Einfluss von Suffizienz im Gebäudebereich. Master thesis, 2018 more…
• van Fügt, Florian;: Der Materialpass im Lebenszyklus von Gebäuden. Master thesis, 2018 more…
• van Vügt, Florian: Der Materialpass im Lebenszyklus von Gebäuden. Master thesis, 2018 more…
• von der Hagen,Eva;: Identifizierung von Stellschrauben in den frühen Planungsphasen für lebenszykluskostenoptimiertes Bauen – Entwicklung einer Handlungsempfehlung für die Nutzungskategorie „Büro und Verwaltung“. Master thesis, 2018 more…
• Banihashemi, Farzan;: Passive Maßnahmen zur Anpassung von Sanierungskonzepten an den Klimawandel. Master thesis, 2017 more…
• Bertele, Simon: Kostenoptimale Reduktion des Heizwärmebedarfs im deutschen Wohngebäudebestand. Master thesis, 2017 more…
• Brendel, Denise;: Materialeinsatz bei MFH. Master thesis, 2017 more…
• Dahmen, Jana: Analysis of co-benefits of two different facade renovation techniques for multi-family houses. Master thesis, 2017 more…
• Dahmen, Jana: Analysis of co-benefits of two different facade renovation techniques for multi-family houses: Case study for the German building stock. Master thesis, 2017 more…
• Diebl, Yasmin Amanda: Analyse heizenergierelevanter Nutzeraktivitäten in Wohngebäuden basierend auf einer empirisch-statistischen Auswertung. Master thesis, 2017 more…
• Dzharov, Tomi: Nachhaltiger Umgang mit Gebäudebestand. Master thesis, 2017 more…
• Dzharov, Tomi;: Nachhaltiger Umgang mit Gebäudebestand. Master thesis, 2017 more…
• Eisele, Thomas;: Solarpotenzial städtischer Wohngebäude durch die Aufrüstung der Fensertflächen mit transparenten Photovoltaikmodulen. Master thesis, 2017 more…
• Gensbauer, Jacob;: Mengenverteilung und Entsorgungsphasen von Baustoffen bei Abbruchmaßnahmen. Master thesis, 2017 more…
• Glasenhardt, Anna: LowEx für Labs. Master thesis, 2017 more…
• Götz, Anna: Auswirkungen der Nutzerverhaltens auf das Betriebsmanagement und die Zertifizierung von Büroimmobilien. Master thesis, 2017 more…
• Götz, Anna: Auswirkungen des Nutzerverhaltens auf das Betriebsmanagement und die Zertifizierung von Büroimmobilien. Master thesis, 2017 more…
• Hennel,Lukas;: Synergieeffekte im klimaneutralen Gebäudebetrieb von Nichtwohngebäuden. Master thesis, 2017 more…
• Klober, Susanne;: Schadstoffe im Bestand – Analyse des Schadstoffeinflusses auf das sekundäre Rohstofflager. Master thesis, 2017 more…
• Kuniyoshi, Ryuta: Validierung von RC-Gebäudemodellen für Anwendungen im Energie- und Lastmanagemtne. Master thesis, 2017 more…
• Köbler, Kalle: Untersuchung der IFC-gestützten Modellübertragung zur Ableitung von Modellierempfehlungen für Architekten. Master thesis, 2017 more…
• Medele, Sonja;: Thermische Energiespeicher. Master thesis, 2017 more…
• Meiller, Pia;: KEA und Rückbau Holz100 EFH. Master thesis, 2017 more…
• Paulicks, Jacob;: Vergleich der Gebäudebewertung mit Ökobilanzen in Deutschland und Österreich. Master thesis, 2017 more…
• Priesner, Jürgen: Reversible Monument. Master thesis, 2017 more…
• Pürnak, Melih: Radiative Cooling im kühlgemäßigten Klima in Süddeutschland am Beispiel München. Master thesis, 2017 more…
• Rener, Monika;: Sanierung oder Neubau: Erweiterung des EPIQR Verfahrens. Master thesis, 2017 more…
• Scharf, Philipp: Parametrisierte Heizenergiebedarfsermittlung großer Gebäudequartiere. Master thesis, 2017 more…
• Schlenkrich, Dominik;: Entwicklung einer Methodik zur Abschätzung des kumulierten Energieaufwand (KEA) mittels Building Information Modeling (BIM) in frühen Planungsphasen. Master thesis, 2017 more…
• Schopp, Lisa: Das Potenzial neuer Wohnformen zur Reduzierung der Pro-Kopf-Wohnfläche im urbanen Raum. Master thesis, 2017 more…
• Weis, Vanessa: Ökonomische und energetische Bewertung zur Fernkälteerzeugung in München. Master thesis, 2017 more…
• Weisenbach, Sabrina: Love your Lab. Master thesis, 2017 more…
• Abbasiangenaveh, Azadeh;: Design for Disassembly – Evaluation of nexushaus according to the DfD concept. Master thesis, 2016 more…
• Akbari, Sohall: Das Materiallger des deutschen Nichtwohngebäudebestands. Master thesis, 2016 more…
• Arnold. Maximilian;: Urban Mining – Potentiale im Straßenbau. Master thesis, 2016 more…
• Brummer, Patrick;: Entwicklung einer Berechnungsmethode zur Abschätzung der verbauten Rohstoffe im Wohnbestand. Master thesis, 2016 more…
• Brunnhuber, Andreas;: Bewertung von Verfahren und Technik zum Gebäudeabbruch sowie zur Materialaufbereitung mit Fokus auf der Wirtschaftlichkeit bei Durchführung mit mobilen Brech- und Siebanlagen. Master thesis, 2016 more…
• Böck, Bernd;: Evaluierung von Tools für Gebäude-Ökobilanzierung. Master thesis, 2016 more…
• Egold, Christine;: Wie wirken sich Suffizienzmaßnahmen auf den Energiebedarf und die Kosten aus? – Ein Vergleich zwischen suffizienter und konventioneller Bauweise im Wohnungsbau. Master thesis, 2016 more…
• Fischer, Florian;: GIS-basierter Vergleich von Siedlungstypen in bayerischen Großstädten - eine Analyse vor dem Hintergrund von Klimawandel, Vulnerabilität und Anpassung. Master thesis, 2016 more…
• Förster, Philipp;: Untersuchung des Urban Mining Potenzials von Infrastrukturbauwerken. Master thesis, 2016 more…
• Gehrmann, Johanna;: Vergleich der Wirkungen von Fördermodellen in Österreich und Deutschland auf die energetische Wohnhaussanierung. Master thesis, 2016 more…
• Giordano, Silvia: Low Tech-Labor. Master thesis, 2016 more…
• Gisdol, Michael: Auswirkungen der Nutzungsflexibilität auf die Nachhaltigkeit von Gebäuden. Master thesis, 2016 more…
• Hasler, Johannes;: Erstellung und Validierung eines nachhaltigen Sanierungskonzeptes für das Stöhrhaus am Untersberg. Master thesis, 2016 more…
• Hüttinger, Lisa;: Entwicklung einer Methode zur ökologischen Baustoffauswahl. Master thesis, 2016 more…
• Ilgen, Verena;: Materiallager München - Abschätzung anhand Statdstrukturtypen. Master thesis, 2016 more…
• Keller-Psathopoulos, Pierre;: Einsatzpotentiale des Lehmbaus in Deutschland – Ein Vergleich mit dem Mauerwerksbau. Master thesis, 2016 more…
• Kellermann, Laura: Analyse und Gewichtung von energierelevanten Parametern zum Nutzerverhalten in Wohngebäuden. Master thesis, 2016 more…
• Krümmer, Csaba;: Die Potenziale von Remanufacturing im Bauwesen. Master thesis, 2016 more…
• Köppel, Nikolas;: Identifikation von Potentialen der Kreislaufwirtschaft zur Senkung der Rohstoffkritikalität permanenterregter Windenergieanlagen. Master thesis, 2016 more…
• Leckron, Dominik;: Bedarf und Einsparpotenzial der Endenergie von Nichtwohngebäudemodellen (Study Project). Master thesis, 2016 more…
• Li, Jingkai;: Neubau oder Sanierung von Gebäuden - Variantenstudie zu den ökologischen Auswirkungen. Master thesis, 2016 more…
• Mariutti, Elisabeth;: Nachhaltige Beleuchtungsplanung. Master thesis, 2016 more…
• Mehdawi, Sohall;: Das Materiallager des deutschen Nichtwohngebäudebestands. Master thesis, 2016 more…
• Nickl, Celine;: Optimierungspotenziale für Ökobilanzwerte von Laborgebäuden. Master thesis, 2016 more…
• Perfler, Susanne;: Interaktive Darstellung der Stellschrauben einer Ökobilanz. Master thesis, 2016 more…
• Plata Gröber, Mariano;: Auslegung der Photovoltaikanalge des Wettbewerbbeitrages “nexushaus” zum Solar Decathlon 2015. Master thesis, 2016 more…
• Schmalfuß, Hannah;: Ganzheitliches Konzept zur nachhaltigen Erstellung eines Verwaltungsgebäudes. Master thesis, 2016 more…
• Schneider, Sara;: Analyse des Wettbewerbes, der Marktentwicklung und Nutzerakzeptanz von RWE Smart Home als integriertes Energiemanagementsystem für private Haushalte. Master thesis, 2016 more…
• Stückl, Johanna: Bewertung der Auswirkungen von Feuchteschäden auf das thermisch - hygrische Verhalten von Bauteilen in Bestandsgebäuden. Master thesis, 2016 more…
• Stückl,Johanna;: Bewertung der Auswirkungen von Feuchteschäden auf das thermisch-hygrische Verhalten in Bestandsgebäuden. Master thesis, 2016 more…
• Varga, Zsofia: Einfluss der Gebäudehüllematrials auf die Ökobilanzierung eines Bürogebäudeneubaus. Master thesis, 2016 more…
• Well, Friedericke;: Aquaponik als System der gebäudeintegrierten Nahrungsmittelproduktion. Master thesis, 2016 more…
• Wissel, Paul;: Thermische Gebäudesimulation des Wettbewerbbeitrages “nexushaus” zum Solar Decathlon 2015. Master thesis, 2016 more…
• Yang, Hongchang: Environmental Life Cycle Analysis of Fluidglass on Urban District Level. Master thesis, 2016 more…
• von Vegesack, Sandra;: Gebäude-Ökobilanzen als Entscheidungsgrundlage: Gewichtung und Aggregation von Indikatoren. Master thesis, 2016 more…
• Ammermüller, Stefanie;: Entwicklung eines Leitfadens zur internationalen Anwendung der 2000-Watt-Bilanzierung auf Bauwerksebene. Master thesis, 2015 more…
• Beck, Korbinian;: Increase of the Energy Efficiency in an Industrial Cooling Network System at the AGCO Plant in Marktoberdorf. Master thesis, 2015 more…
• Blasi,Antonia;: Strategien zur Berücksichtigung von klimawandelbedingten Unsicherheiten in der Stadtplanung – Entwicklung einer Checkliste für die urbane Klimawandelanpassung. Master thesis, 2015 more…
• Bobinksa, Karoline;: Potentiale und Rahmenbedingungen in der zukunftsfähigen Gestaltung von Plattenbausiedlungen – am Beispiel einer Warschauer Wohnsiedlung der Arbeit. Master thesis, 2015 more…
• Bobinska, Karoline: Potenziale und Rahmenbedingungen in der zukunftsfähigen Gestaltung von Plattenbausiedlungen am Beispiel einer Warschauer Wohnsiedlung. Master thesis, 2015 more…
• Dengler, Lucas: Suffiziente quartierstrukturen. Master thesis, 2015 more…
• Elsner, Janosch;: Entwicklung von nachhaltigen Sanierungskonzepten der Gebäudetechnik anhand des Baubestands der LMU München. Master thesis, 2015 more…
• Fensch, Nora;: Entwicklung eines halb-automatischen GIS-Workflows zur Integration und Modellierung von zwei Berechnungsverfahren des Heizwärmebedarfs für Wohngebäude in zwei ausgewählten Quartieren in München. Master thesis, 2015 more…
• Fiala, Laura Louise;: Bauphysikalische, ökologische und ökonomische Untersuchung von Holztafelelementfassaden für Hybridbauweise anhand ausgewählter Beispielprojekte. Master thesis, 2015 more…
• Frickova, Kristyna: Modernisierungskonzepte von Blockrandbebauungen unter Berücksichtigung des Klimawandels. Master thesis, 2015 more…
• Görres, Johannes;: Nachhaltige Sanierung eines saisonal-betrieben, alpinen Hotels: Evaluation ausgewählter Nutzungsszenarien für das DAV-Haus Obertauern. Master thesis, 2015 more…
• Heiß, Anna;: Bewertung von Maßnahmen für Klimaschutz und Klimaanpassung im Quartier auf Basis der 2000-Watt-Gesellschaft, des Zertifizierungssystems DGNB und dem Prinzip Cradle to Cradle. Master thesis, 2015 more…
• Hermann, Fabian;: Energetische Bewertung und Optimierung eines ausgewählten Hochschulgebäudes. Master thesis, 2015 more…
• Kovacs, Krisztina;: Ökologischer und ökonomischer Sanierungsfahrplan der Gebäudehülle nach Baualtersklassen. Master thesis, 2015 more…
• Laub, Lisa;: Nachhaltigkeit im Planungsprozess – Entwicklung einer Nachhaltigkeitsberatungsmethodik für den DGNB Zertifizierungsprozess (In Zusammenarbeit mit Dipl.-Ing. Thomas Rühle, Integrale Planung GmbH, München. Master thesis, 2015 more…
• Lorenz, Karola; Tallavania, Vincent;: Anwendungsbezogene Beleuchtungskonzepte unter dem Aspekt der Nachhaltigkeit. Master thesis, 2015 more…
• Ma, Yanli: Lebenszyklusanalysen und deren Anwendung in einem realen Einfamilienhaus. Master thesis, 2015 more…
• Mahler, Patrick;: Einfluss der Datengrundlage auf die Ökobilanz von Gebäudekomponenten – Gegenüberstellung verschiedener Datenbanken anhand dreier Wandaufbauten. Master thesis, 2015 more…
• Maier, Franziska: Historische Betrachtung des Ressourcenverbrauchs und Lebenszyklusanalyse eines realen Mehrfamilienhauses. Master thesis, 2015 more…
• Mavroudi, Konstantina: Assessment of Energy-related Refurbishment Strategies via Bayesian-Network Modelling. Master thesis, 2015 more…
• Rauscher, Ullrich;: Tageslichtoptimierung im Bestand. Master thesis, 2015 more…
• Reuß, Fabian;: Validierung des thermischen Rechenkerns einer Modelica-Bibliothek zur energetisch-thermischen Gebäudesimulation und Implementierung wesentlicher Komponenten der Heizungstechnik. Master thesis, 2015 more…
• Sareiter, Andreas; Gerlach, Stephan: Analyse und Bewertung energetischer Modernisierungen von kommunalen Schulgebäude. Master thesis, 2015 more…
• Stimpfle, Philipp;: Energieeffizienzpotenziale des Gebäudeparks am Hochschulcampus Garching. Master thesis, 2015 more…
• Wallner, Ramona;: Potentiale von Speichertechnologien zur Realisierung von Plusenergiegebäuden im mehrgeschossigen Wohnungsbau. Master thesis, 2015 more…
• Yan, Lukai;: Integration von Gebäuden mit flüssigkeitsdurchströmten Glasfassaden auf Quartiersebene. Master thesis, 2015 more…
• Yan, Luokai: Integration von Gebäuden mit flüssigkeitsdurchströmten Glasfassaden auf Quartiersebene. Master thesis, 2015 more…
• Zeppenfeld, Sophia;: Ökologische Lebenszyklusanalyse verschiedener Bauweisen im Wohnungsbau in Abhängigkeit von der Gebäudeklasse. Master thesis, 2015 more…
• Ziener, Thomas: Auswirkung des Nutzerverhaltens auf den Energieverbrauch von Gebäuden am Beispiel eines Einfamilienhauses. Master thesis, 2015 more…
• Ziener, Thomas : Auswirkung des Nutzerverhaltens auf den Energiebedarf von Gebäuden. Master thesis, 2015 more…
• Aicher, Andrea;: Lebenszyklusanalyse eines realen Reihenhauses. Master thesis, 2014 more…
• Bachmann, Philipp;: Skintecture- Analyse einer bio-inspirierten variablen Sonnenlichtsteuerung. Master thesis, 2014 more…
• Biswenger, Christian;: Einsatzfähigkeit erneuerbarer Energiequellen zur Bedarfsdeckung von Niedrigstenergiegebäuden in Süddeutschland. Master thesis, 2014 more…
• Brunner, Felix;: Lebenszyklusanalyse der Technischen Gebäudeausrüstung eines realen Wohnhauses. , 2014 more…
• Buschmann, Stefanie;: Entwicklung einer Nachhaltigen Lehmbau-Architektur für Chile. Master thesis, 2014 more…
• Chen, Li;: Decision Support on Retrofitting Office Buildings – Assessment of requirements of stakeholders and energy efficiency measures in the early design stage, using the Quality Function Deployment. Master thesis, 2014 more…
• Chen, Xiaomeng: Weiterentwicklung und Validierung eines zonalen Modells für die Bewertung des Innenraumklimas auf Basis des VEPZO Modells. Master thesis, 2014 more…
• Dombrowski, Sarah;: Entwicklung von bauphysikalischen Sanierungskonzepten im Gebäudebestand unter Berücksichtigung der Nachhaltigkeit anhand eines ausgewählten Gebäudes der LMU München. Master thesis, 2014 more…
• Fessard, Felix;: Methodische Herangehensweise an das Thema Urban Resilience: eine Betrachtung der Städte München und Austin. Master thesis, 2014 more…
• Forth, Kasimir;: Skintecture. Analyse einer bio-inspirierten variablen Steuerung der Luft und Wärmepermeabilität. Master thesis, 2014 more…
• Franke, Laura;: Adaptive HVAC Comfort Concept for a Hot and Humid Climate. Master thesis, 2014 more…
• Grindinger, Florian;: Optimierung der freien und mechanischen Kälteerzeugung durch dynamische Systemsimulation. Master thesis, 2014 more…
• Hannemann, Dominik;: Comparability of Life Cycle Assessments – Range of Life Cycles, Methods and System boundaries. Master thesis, 2014 more…
• Hua, Shan;: Entwicklung einer Schnittstelle zwischen IFC-Gebäudemodellen und Modelica. Master thesis, 2014 more…
• Jia, Pei: Development and application of a test procedure to analyze the plausibility of Modelica HVAC models implemented WUFI Plus. Master thesis, 2014 more…
• Kleeberger, Markus: Einfluss des Nutzerverhaltens auf den Energiebedarf von Einfamilienhäusern. Master thesis, 2014 more…
• Kresteniti, Angeliki;: Development of a concept for energy optimization of existing Greek hotel buildings. Master thesis, 2014 more…
• Kuffer, Bettina;: Potentiale der 2000-Watt-Gesellschaft anhand einer Beispielgebäudes. Master thesis, 2014 more…
• Lan, Yue: Entwicklung einer Handlungsleitfadens zur Erstellung von energetischen Gebäudemonitoring-Konzepten für chinesische Bürohochhäuser. Master thesis, 2014 more…
• Li, Ling;: Untersuchungen des Einflusses der passiven und aktiven Maßnahmen auf den Energiebedarf und die Behaglichkeit von Bürogebäuden. Master thesis, 2014 more…
• Marold, Simon;: Eine Ökobilanzierung der öffentlichen Verkehrsinfrastruktur in München. Master thesis, 2014 more…
• Meneghelli, Andrea: Upcycling an Existing Building. Master thesis, 2014 more…
• Mitt, Nicolai;: Lebenszyklusanalyse eines realen Einfamilienhauses in Niedrigstenergiebauweise. Master thesis, 2014 more…
• Mitterhofer, Matthias: Congeneration in Off-Grid Areas with a micro-Concentrated Solar Power Sytem - Simulation and Optimization. Master thesis, 2014 more…
• Richter, Christian;: Methodik zur Erstellung von Gebäudesimulationsmodellen aus der TABULA-Gebäudetypologie. Master thesis, 2014 more…
• Riehle, Nina;: Climate-responsive Building Design for Hotels in the sub-tropical Climate Nepal. Master thesis, 2014 more…
• Ronge, Katharina;: Schulgebäude auf dem Weg zum Plusenergiegebäude. Master thesis, 2014 more…
• Sacher, Iris;: Wohnungsbau im Klimawandel. Master thesis, 2014 more…
• Sideri, Maria; : Energieeffizienter Wohnbau auf der griechischen Insel Milos – Energetische Optimierung ortstypischer Wohngebäude am Beispiel eines Architektenentwurfs. Master thesis, 2014 more…
• Striehl, Esmeralda: Systemmodellierung eines Förderinstruments zur warmmieten-neutralen, energetischen Sanierung in Neuaubing-Westkreuz. Master thesis, 2014 more…
• Theilig, Kathrin: Ökobilanz von flüssigkeitsdurchströmten Glasfassadenelementen. Master thesis, 2014 more…
• Unger, Katharina;: Der ökologische Fußabdruck als Bewertungsmethode für Gebäude. Master thesis, 2014 more…
• Wenzel, Larissa-Katharina;: Skintecture. Analyse einer bio-inspirierten variablen Feuchtigkeitssteuerung. Master thesis, 2014 more…
• Widmer, Ludmila;: Climate adapted residential building design in Kathmandu Valley - Comparison to modern universal architecture in terms of thermal comfort. Master thesis, 2014 more…
• Winterseel, Bernd;: Einfluss des Nutzverhaltens auf den Energiebedarf von Studentenwohnheimen. Master thesis, 2014 more…
• Xenaki, Maria: Plusenergiehaus auf der Insel Tilos. Master thesis, 2014 more…
• Xiong, Guangyue;: Potenziale erneuerbarer Energien bei der Sanierung im Gebäudebestand von Nichtwohngebäuden am Beispiel der LMU München. Master thesis, 2014 more…
• Kronschnabl, Christofer;: Thermische Simulation des sommerlichen Wärmeverhaltes unter Beachtung unterschiedlicher Determinanten zur Optimierung der Energiebilanz. Vorstellung von Optimierungsvarianten anhand eines Bestandsgebäudes. Master thesis, 2013 more…
• Ren, Rao;: Gebäudehülle und Anlagentechnik von Niedrigstenergiegebäuden - momentane und zukünftige Situation. Master thesis, 2013 more…
• Setzer, Daniela;: Energiewende und Baukultur – Strategien für konventionelle Energieumwandlungsanlagen in Deutschland. Master thesis, 2013 more…
• Shmakova, Victoria;: The process of structural building material reuse for reducing the non-renewable primary energy in passive houses. Master thesis, 2013 more…
• Eckinger, Karin: Erstellung einer Ökobilanz für ein Industriegebäude. Master thesis, 2011 more…
• Wurzbacher, Steffen: Solarpotentiale urbaner Morphologien. Master thesis, 2010 more…

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File format for theses

In what file format should the electronic copy of the thesis be submitted.

Theses must be submitted to the ULB via the TUbama Portal in the file format PDF/A (archivable PDF).

In general, the required file format for the thesis is defined by the examiners (§ 22 APB).

The archivable PDF/A format can generally be created from all standard text editing programs. However, it is necessary to select the correct settings when saving the thesis. In this context, please follow the instructions available for your text editing program.

In any case, it is advisable to carry out a test upload in advance using a file created in PDF/A format to check whether this format is accepted. The following PDF/A file format standards will be accepted: PDFA-1a, PDFA-1b, PDFA-2a, PDFA-2b, PDFA-2u .

The file format will be automatically checked during the upload process. After clicking on “Next >”, you will receive a notification to indicate whether the format of the uploaded file was correct or if it is not in a PDF/A compatible format. You can delete the faulty file again at any time and upload a new file. If the file format is incorrect, this automatically prevents you submitting the thesis.

The file name must not contain any blank spaces or special characters!

In particular, please check whether your graphics with transparent backgrounds are correctly displayed. If you experience any problems, it may be necessary to change the background for your graphics to “white”.

Microsoft Office 2016

In Microsoft Office 2016, you will find the setting for saving the file in PDF/A format under the PDF options.

If you are using a different version of Microsoft Office, please find out the required information in good time.

Open Office

In Open Office, you will find the setting for saving the file in PDF/A format under “File” -> “Export as PDF…”

In the “PDF options” menu, select “General” ->“PDF/A”

If you are using a different version of Open Office, please find out the required information in good time.

It is also possible to create files in PDF/A format with LaTeX. Please find out how to do this and ensure that you test whether the file for your thesis has the correct file format in advance by completing a test upload.

If you are using the official LaTeX templates of TU Darmstadt, the standard settings of the TUDa-Thesis-Templates will comply with PDF/A-2b-standard (pdfa=true).

Extensions of the title data are possible via the macro \Metata, you will find this documented in the example file.

Please note that the conformity can only be ensured for in LaTeX created contents. Contained images or additional PDF files have to be checked independently on their conformity.

You can use the support service for the TUDa-CI-Templates for further information and help.

Saving in PDF/A format independently of the editing program

There are various programs that install a virtual PDF printer and enable you to print to a PDF file irrespective of the software used to write the thesis.

Examples of these software programs are: PDF24, FreePDF or Adobe Acrobat (not Adobe Reader!!). The PDF/A format can also be selected in these programs.

Contact TUCaN

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Bachelor-/Master-Thesis

Our latest thesis offers.

In our group, we offer recent and interesting topics for students looking for a final project. We are glad about prospective applicants and always offer some challenging and exciting research projects. If you are interested, please get in touch with our scientific stuff.

Next to topics in the area of circuit design, we also focus in modeling and CAD methodology. Therefore, we offer the following topics:

•  Analog and digital circuit design in the Cadence Virtuoso Design Framework
•  Modelling and simulation of state-of-the-art RF transceiver systems
•  Development and implementation of CAD simulation tools
•  Hardware design and deployment of circuit boards and circuits for our measurement systems

Could we rise your interest? Please take a look at the following list of topics, come along and have a chat with our  research staff  or send us a message!

Master's Thesis in Germany

Master's students from the GUC can receive a scholarship for a six-month study stay at a German higher education institution. Only Teaching Assistants who are in the final phase of their Master's studies and would like to complete their Master's thesis in Germany can apply for funding. As of April 2023, the funding will include a one-time travel allowance of 850 € and a monthly stipend of 934 €. The scholarship is aimed at Teaching Assistants of the GUC and will be advertised in the fall via the GUC. The application deadline for scholarships for Master's theses in Germany is mid-January for stays starting in July of the same year. The applicants are informed about the outcome of the application process by the end of March.

The application documents for scholarships consist of:

✓ a letter of motivation

✓ a detailed description of the planned Master's thesis topic (following the guidelines provided)

✓ two letters of reference

✓ a transcript of records

✓ a confirmation of supervision from the GUC, indicating with which GUC research group the Master's thesis topic is located (in particular, whether it is part of a BMBF-funded research collaboration)

✓ an invitation including confirmation of supervision from a German professor

✓ the DAAD application form (will be provided)

✓ a completed and signed evaluation form (will be provided)

✓ a passport copy

✓ the confirmation of enrollment as a Master student at GUC.

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

• Data Analytics and Machine Learning Group
• TUM School of Computation, Information and Technology
• Technical University of Munich

Open Topics

We offer multiple Bachelor/Master theses, Guided Research projects and IDPs in the area of data mining/machine learning. A  non-exhaustive list of open topics is listed below.

If you are interested in a thesis or a guided research project, please send your CV and transcript of records to Prof. Stephan Günnemann via email and we will arrange a meeting to talk about the potential topics.

Graph Neural Networks for Spatial Transcriptomics

Type:  Master's Thesis

Prerequisites:

• Strong machine learning knowledge
• Proficiency with Python and deep learning frameworks (PyTorch, TensorFlow, JAX)
• Knowledge of graph neural networks (e.g., GCN, MPNN)
• Optional: Knowledge of bioinformatics and genomics

Description:

Spatial transcriptomics is a cutting-edge field at the intersection of genomics and spatial analysis, aiming to understand gene expression patterns within the context of tissue architecture. Our project focuses on leveraging graph neural networks (GNNs) to unlock the full potential of spatial transcriptomic data. Unlike traditional methods, GNNs can effectively capture the intricate spatial relationships between cells, enabling more accurate modeling and interpretation of gene expression dynamics across tissues. We seek motivated students to explore novel GNN architectures tailored for spatial transcriptomics, with a particular emphasis on addressing challenges such as spatial heterogeneity, cell-cell interactions, and spatially varying gene expression patterns.

Contact : Filippo Guerranti , Alessandro Palma

References:

• Cell clustering for spatial transcriptomics data with graph neural network
• Unsupervised spatially embedded deep representation of spatial transcriptomics
• SpaGCN: Integrating gene expression, spatial location and histology to identify spatial domains and spatially variable genes by graph convolutional network
• DeepST: identifying spatial domains in spatial transcriptomics by deep learning
• Deciphering spatial domains from spatially resolved transcriptomics with an adaptive graph attention auto-encoder

GCNG: graph convolutional networks for inferring gene interaction from spatial transcriptomics data

Robustness of Large Language Models

Type: Master's Thesis

• Strong knowledge in machine learning
• Very good coding skills
• Proficiency with Python and deep learning frameworks (TensorFlow or PyTorch)
• Knowledge about NLP and LLMs

The success of Large Language Models (LLMs) has precipitated their deployment across a diverse range of applications. With the integration of plugins enhancing their capabilities, it becomes imperative to ensure that the governing rules of these LLMs are foolproof and immune to circumvention. Recent studies have exposed significant vulnerabilities inherent to these models, underlining an urgent need for more rigorous research to fortify their resilience and reliability. A focus in this work will be the understanding of the working mechanisms of these attacks.

We are currently seeking students for the upcoming Summer Semester of 2024, so we welcome prompt applications. This project is in collaboration with  Google Research .

Contact: Tom Wollschläger

• Universal and Transferable Adversarial Attacks on Aligned Language Models
• Attacking Large Language Models with Projected Gradient Descent
• Representation Engineering: A Top-Down Approach to AI Transparency
• Mechanistically analyzing the effects of fine-tuning on procedurally defined tasks

Generative Models for Drug Discovery

Type:  Mater Thesis / Guided Research

• Proficiency with Python and deep learning frameworks (PyTorch or TensorFlow)
• Knowledge of graph neural networks (e.g. GCN, MPNN)
• No formal education in chemistry, physics or biology needed!

Effectively designing molecular geometries is essential to advancing pharmaceutical innovations, a domain which has experienced great attention through the success of generative models. These models promise a more efficient exploration of the vast chemical space and generation of novel compounds with specific properties by leveraging their learned representations, potentially leading to the discovery of molecules with unique properties that would otherwise go undiscovered. Our topics lie at the intersection of generative models like diffusion/flow matching models and graph representation learning, e.g., graph neural networks. The focus of our projects can be model development with an emphasis on downstream tasks ( e.g., diffusion guidance at inference time ) and a better understanding of the limitations of existing models.

Contact :  Johanna Sommer , Leon Hetzel

Equivariant Diffusion for Molecule Generation in 3D

Equivariant Flow Matching with Hybrid Probability Transport for 3D Molecule Generation

Structure-based Drug Design with Equivariant Diffusion Models

Efficient Machine Learning: Pruning, Quantization, Distillation, and More - DAML x Pruna AI

Type: Master's Thesis / Guided Research / Hiwi

The efficiency of machine learning algorithms is commonly evaluated by looking at target performance, speed and memory footprint metrics. Reduce the costs associated to these metrics is of primary importance for real-world applications with limited ressources (e.g. embedded systems, real-time predictions). In this project, you will work in collaboration with the DAML research group and the Pruna AI startup on investigating solutions to improve the efficiency of machine leanring models by looking at multiple techniques like pruning, quantization, distillation, and more.

Contact: Bertrand Charpentier

• The Efficiency Misnomer
• A Gradient Flow Framework for Analyzing Network Pruning
• Distilling the Knowledge in a Neural Network
• A Survey of Quantization Methods for Efficient Neural Network Inference

Deep Generative Models

Type:  Master Thesis / Guided Research

• Strong machine learning and probability theory knowledge
• Knowledge of generative models and their basics (e.g., Normalizing Flows, Diffusion Models, VAE)
• Optional: Neural ODEs/SDEs, Optimal Transport, Measure Theory

With recent advances, such as Diffusion Models, Transformers, Normalizing Flows, Flow Matching, etc., the field of generative models has gained significant attention in the machine learning and artificial intelligence research community. However, many problems and questions remain open, and the application to complex data domains such as graphs, time series, point processes, and sets is often non-trivial. We are interested in supervising motivated students to explore and extend the capabilities of state-of-the-art generative models for various data domains.

Contact : Marcel Kollovieh , David Lüdke

• Flow Matching for Generative Modeling
• Auto-Encoding Variational Bayes
• Denoising Diffusion Probabilistic Models 
• Structured Denoising Diffusion Models in Discrete State-Spaces

A Machine Learning Perspective on Corner Cases in Autonomous Driving Perception  

Type: Master's Thesis 

Industrial partner: BMW 

Prerequisites: 

• Strong knowledge in machine learning 
• Knowledge of Semantic Segmentation  
• Good programming skills 
• Proficiency with Python and deep learning frameworks (TensorFlow or PyTorch) 

Description: 

In autonomous driving, state-of-the-art deep neural networks are used for perception tasks like for example semantic segmentation. While the environment in datasets is controlled in real world application novel class or unknown disturbances can occur. To provide safe autonomous driving these cased must be identified. 

The objective is to explore novel class segmentation and out of distribution approaches for semantic segmentation in the context of corner cases for autonomous driving. 

Contact: Sebastian Schmidt

References: 

• Segmenting Known Objects and Unseen Unknowns without Prior Knowledge 
• Efficient Uncertainty Estimation for Semantic Segmentation in Videos  
• Natural Posterior Network: Deep Bayesian Uncertainty for Exponential Family  
• Description of Corner Cases in Automated Driving: Goals and Challenges 

Active Learning for Multi Agent 3D Object Detection 

Type: Master's Thesis  Industrial partner: BMW 

• Knowledge in Object Detection 
• Excellent programming skills 

In autonomous driving, state-of-the-art deep neural networks are used for perception tasks like for example 3D object detection. To provide promising results, these networks often require a lot of complex annotation data for training. These annotations are often costly and redundant. Active learning is used to select the most informative samples for annotation and cover a dataset with as less annotated data as possible.   

The objective is to explore active learning approaches for 3D object detection using combined uncertainty and diversity based methods.  

• Exploring Diversity-based Active Learning for 3D Object Detection in Autonomous Driving   
• Efficient Uncertainty Estimation for Semantic Segmentation in Videos   
• KECOR: Kernel Coding Rate Maximization for Active 3D Object Detection
• Towards Open World Active Learning for 3D Object Detection   

Graph Neural Networks

Type:  Master's thesis / Bachelor's thesis / guided research

• Knowledge of graph/network theory

Graph neural networks (GNNs) have recently achieved great successes in a wide variety of applications, such as chemistry, reinforcement learning, knowledge graphs, traffic networks, or computer vision. These models leverage graph data by updating node representations based on messages passed between nodes connected by edges, or by transforming node representation using spectral graph properties. These approaches are very effective, but many theoretical aspects of these models remain unclear and there are many possible extensions to improve GNNs and go beyond the nodes' direct neighbors and simple message aggregation.

Contact: Simon Geisler

• Semi-supervised classification with graph convolutional networks
• Relational inductive biases, deep learning, and graph networks
• Diffusion Improves Graph Learning
• Weisfeiler and leman go neural: Higher-order graph neural networks
• Reliable Graph Neural Networks via Robust Aggregation

Physics-aware Graph Neural Networks

Type:  Master's thesis / guided research

• Proficiency with Python and deep learning frameworks (JAX or PyTorch)
• Knowledge of graph neural networks (e.g. GCN, MPNN, SchNet)
• Optional: Knowledge of machine learning on molecules and quantum chemistry

Deep learning models, especially graph neural networks (GNNs), have recently achieved great successes in predicting quantum mechanical properties of molecules. There is a vast amount of applications for these models, such as finding the best method of chemical synthesis or selecting candidates for drugs, construction materials, batteries, or solar cells. However, GNNs have only been proposed in recent years and there remain many open questions about how to best represent and leverage quantum mechanical properties and methods.

Contact: Nicholas Gao

• Directional Message Passing for Molecular Graphs
• Neural message passing for quantum chemistry
• Learning to Simulate Complex Physics with Graph Network
• Ab initio solution of the many-electron Schrödinger equation with deep neural networks
• Ab-Initio Potential Energy Surfaces by Pairing GNNs with Neural Wave Functions
• Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds

Robustness Verification for Deep Classifiers

Type: Master's thesis / Guided research

• Strong machine learning knowledge (at least equivalent to IN2064 plus an advanced course on deep learning)
• Strong background in mathematical optimization (preferably combined with Machine Learning setting)
• Proficiency with python and deep learning frameworks (Pytorch or Tensorflow)
• (Preferred) Knowledge of training techniques to obtain classifiers that are robust against small perturbations in data

Description : Recent work shows that deep classifiers suffer under presence of adversarial examples: misclassified points that are very close to the training samples or even visually indistinguishable from them. This undesired behaviour constraints possibilities of deployment in safety critical scenarios for promising classification methods based on neural nets. Therefore, new training methods should be proposed that promote (or preferably ensure) robust behaviour of the classifier around training samples.

Contact: Aleksei Kuvshinov

References (Background):

• Intriguing properties of neural networks
• Explaining and harnessing adversarial examples
• SoK: Certified Robustness for Deep Neural Networks
• Certified Adversarial Robustness via Randomized Smoothing
• Formal guarantees on the robustness of a classifier against adversarial manipulation
• Towards deep learning models resistant to adversarial attacks
• Provable defenses against adversarial examples via the convex outer adversarial polytope
• Certified defenses against adversarial examples
• Lipschitz-margin training: Scalable certification of perturbation invariance for deep neural networks

Uncertainty Estimation in Deep Learning

Type: Master's Thesis / Guided Research

• Strong knowledge in probability theory

Safe prediction is a key feature in many intelligent systems. Classically, Machine Learning models compute output predictions regardless of the underlying uncertainty of the encountered situations. In contrast, aleatoric and epistemic uncertainty bring knowledge about undecidable and uncommon situations. The uncertainty view can be a substantial help to detect and explain unsafe predictions, and therefore make ML systems more robust. The goal of this project is to improve the uncertainty estimation in ML models in various types of task.

Contact: Tom Wollschläger ,   Dominik Fuchsgruber ,   Bertrand Charpentier

• Can You Trust Your Model’s Uncertainty? Evaluating Predictive Uncertainty Under Dataset Shift
• Predictive Uncertainty Estimation via Prior Networks
• Posterior Network: Uncertainty Estimation without OOD samples via Density-based Pseudo-Counts
• Evidential Deep Learning to Quantify Classification Uncertainty
• Weight Uncertainty in Neural Networks

Hierarchies in Deep Learning

Type:  Master's Thesis / Guided Research

Multi-scale structures are ubiquitous in real life datasets. As an example, phylogenetic nomenclature naturally reveals a hierarchical classification of species based on their historical evolutions. Learning multi-scale structures can help to exhibit natural and meaningful organizations in the data and also to obtain compact data representation. The goal of this project is to leverage multi-scale structures to improve speed, performances and understanding of Deep Learning models.

Contact: Marcel Kollovieh , Bertrand Charpentier

• Tree Sampling Divergence: An Information-Theoretic Metricfor Hierarchical Graph Clustering
• Hierarchical Graph Representation Learning with Differentiable Pooling
• Gradient-based Hierarchical Clustering
• Gradient-based Hierarchical Clustering using Continuous Representations of Trees in Hyperbolic Space