Thesis and Project Guidelines

Please read the following guidelines carefully if you are planning to conduct a final thesis or research project (e.g., the Computational Imaging Project) at the Computational Imaging Lab!

Getting a Topic

You can contact any member of the lab about potential thesis or project topics. Please send us your current transcript of records and specify your research interests and relevant prior experience (especially in MRI) when contacting a member of the lab. In general, we expect students to have completed the course Computational MRI (lecture and exercise) before starting a project or a thesis, because this course teaches the necessary skills to work on a topic that is connected to our research.

Registration

The thesis has to be registered in the examinations office. This should be done soon after you have started working on your topic. For students of Medical Engineering, please review the [homepage of the study program] for the latest version of the registration form and fill it together with your supervisor. Students of other study programs coordinate directly with their supervisor regarding the registration procedure.

Presentation

The results of your thesis should be presented in a 30-minute final presentation in the MRI colloquium. This presentation should be given 2-4 weeks before your deadline. This gives you the chance to include additional aspects from the discussion in your thesis. If your deadline is during the semester break, your final presentation can also be given afterwards, as the MRI colloquium only takes place during the lecture period. Please discuss the date of your presentation with your supervisor as early as possible to make sure that your favored date is still available. The contribution of the presentation to your final grade depends on your study program.

Lab Meetings

You are invited to join the weekly lab meetings (Thursdays at 3pm) to discuss your progress with the rest of the team. Based on a rotation system, every lab member and student gives updates and discusses their progress with the other lab members.

MRI Colloquium

The MRI colloquium is hosted together with other labs working on MRI and takes place on Thursdays at 5pm during the lecture period and regular attendance is mandatory.

Code

All of your code is required to be archived in a Git repository in our group on the [GitLab server of the RRZE]. Your supervisor will create a repository for you and invite you to it. We recommend to get familiar with Git as early as possible and to use it right from the beginning of your implementation work. Please find more information about the GitLab server [here]. Access to the GitLab server needs to be requested via the [IdM-Portal]. Note that Git is intended for text-based files (i.e., source code), and not for large files like PDFs or images. For this reason, projects on [gitlab.rrze.fau.de] have a quota of 2GB.

Language

The common language at the lab is English. Hence, all oral presentations should be given in English. Master’s theses should be written in English. Bachelor’s theses may be written in German, if your supervisor agrees. However, we highly recommend to write it in English as well.

Writing your Thesis

The thesis needs to be written with LaTeX using the template from the Pattern Recognition Lab [https://lme.tf.fau.de/teaching/thesis/]. Your thesis should follow the common structure of scientific documents and should further contain an abstract (~0.5 pages) and a summary (3-4 pages). Please also consider style, syntax, grammar, and punctuation as this highly influences the readability of your thesis and will also be taken into account for your grade.

Submission

Your written thesis needs to be submitted as one printout version and as a PDF file to your supervisor before your deadline.

Your implementations have to be handed over to your supervisor in the form of a Git repository on the [GitLab server of the RRZE]. This includes all code that is required to reproduce your results.

All data that you have used or generated for your thesis needs to be accessible to your supervisor after your submission. This includes all your results, scripts for processing the data (if not already included in your Git repository), figures, etc. Details on the submission format of this data may vary and should be discussed individually with your supervisor. In any way, it is your responsibility to provide your supervisor with everything that would be required to reproduce your results.