Theses

As a Master/Bachelor student writing a thesis at our chair you can expect the following opportunities:

• Broad range of highly relevant problems in mathematics of artificial intelligence and exciting applications
• Regular meetings with Prof. Dr. Gitta Kutyniok
• A second contact person from the chair, who is also an expert in the field of your thesis
• Participation in the seminar of our chair (if you are interested)
• Invitation to getting to know the members of the chair in the first week of the term
• Potential contact with numerous international experts
• If your topic is suitable, international contacts may be established so that you can, for instance, write your thesis at a foreign university

Prerequisites and Target Audience

At least one participation in a lecture or seminar of the Chair

We recommend prospective students interested in the mathematics or applications of deep learning to take a look at the following two resources:

• The modern mathematics of deep learning
• Getting started with neural networks

We highly encourage excellent mathematics students with a background in functional analysis and excellent computer science students with a background in the theoretical aspects of ML to reach out. Other backgrounds are also most welcome to apply.

Thesis topics available at the chair

Thesis Proposal 1 (PDF, 398 KB)

If you are interested in a thesis or a supervised research project

Please send your CV and your transcript of records by e-mail to Prof. Gitta Kutyniok. We will then arrange a meeting to talk about the potential topics

Tutorials