On this page, we present our project ideas for Bachelor's and Master's theses. Most projects are also suitable as internship project or Ph.D. thesis project. Please note that you need to register an account to see the projects. There are various options of how you can approach your Bachelor's or Master’s thesis. You can develop a novel software tool, create novel algorithms, evaluate existing algorithms, and many things more. In the following, we explain what type of research projects exists and list our project ideas
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Resource
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Projects (
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Datasets or Software)
A resource project creates a novel software tool, dataset, or benchmark. While it is generally relatively easy to write a piece of software or create some dataset, the requirements for a resource project are high. The novel resource normally must be really useful and impactful, and your thesis must provide evidence for that. For instance, if you introduce a novel software tool, you must provide comprehensive comparisons with other software tools.
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Applied Research
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Projects
In “applied research” you aim at improving one field of application -- e.g. movie recommendation, lung-cancer prediction, face recognition, or stock market prediction. Typically in such a project, you ‘throw’ a large number of existing algorithms on the novel scenario, and see what algorithms perform best. For a Bachelor’s or Master’s thesis, such a project is fine. However, from a scientific point of view, such projects are normally considered second-class. Such projects often involve a lot of trial and error, and less theoretically founded idea. To illustrate the point: Imagine a person A) who proposed the idea of Support Vector Machines and evaluated the first SVM on a dataset with handwritten digits and a person B) who later proposed to apply SVMs on classifying images of cats and dogs. Person A) clearly made a much more significant contribution to the world. Nevertheless, applied research papers can make valuable contributions to the field (we have published many applied research papers ourselves).
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Reproducibility
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Projects
Reproducibility projects are about confirming or disconfirming the results of someone else's' work. There three different scenarios.
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Comparative
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Studies
In a comparative study, you compare a large number of algorithms or tools to identify the best one or the advantages and disadvantages of each. This type of work can be similar to a reproducibility study, but the framing/writing of the paper is different. Also, a comparative study typically aims at well-established software tools (e.g. machine learning tools like Weka, sci-kit learn, H.2, TensorFlow, …). A reproducibility study rather aims at novel algorithms that are not yet integrated into software libraries like Tensorflow.
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An industry or application paper could be a case study or a description of how a software tool performs in a certain environment/company. It could also be a paper in which you apply the well-known algorithm X on the novel scenario Z. Not many conferences accept industry or application papers. However, depending on the framing you could probably ‘sell’ this kind of work as a research paper or comparative study, too.
Position
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Papers
Once you are familiar with a research field, you may want to initiate discussions or change current best-practices. For this purpose, a position paper is suitable. In a position paper, you can either just write down your opinion on a certain topic, or provide some evidence that backs up your claims.
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Literature
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Surveys
A literature survey summarizes a large amount of literature relating to one particular topic. Every type of research project – be it a research article, a resource paper, or a comparative study – must contain some literature survey, summarized in the related work section. As a Bachelor’s student, your entire thesis may be a literature survey. However, your survey must be really comprehensive, and it is not easy to do this well! We would only agree to supervise a literature survey as a thesis project if you are already very familiar with that research field. Furthermore, you must be an excellent writer, and very well at organizing and structuring.
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