Open Master’s Level Practical Assignments/Projects

Master's level practical assignments/projects are internships/projects on a specific topic, which are completed at a chair or in a working group in the Department of Computer Science or at one of the affiliated institutes. They cannot be carried out as part of an activity as a research assistant or student assistant.

These projects can be included in the category of "free credits" in the Master's degree programme with a maximum of 6 CP in accordance with Section 5 of the study regulations (double check that this is also true for your study programme). For 6 CP a total of 180 hours of work are necessary, which means almost 5 weeks full-time work.

In contrast to the industrial internship or the mandatory internship in Media Informatics, pre-registration is not required for this (but obviously, to start you have to get in touch with the person offering the topic in the list below). At the end of the project, you will receive a certificate stating the duration of the internship and the CP, which you submit to your contact person in the Examinations Office. The title of the project is noted on the corresponding certificate ("Bescheinigung"). The certificate for a Master's internship must always be signed by a person who can be a legitimate examiner, i.e. who is on this list or who has been approved by the examination board.


The following Master’s level practical assignments/projects are currently open:

In this project, your main task is to conceptualize a proper systematic literature review and to carry it out.  We are interested in learning about studies that investigated adaptive gamification or behavior changes interventions and that reported on results how to tailor (e.g., “interventions for achiever user types need to offer competition as game element” or “people scoring high on extraversion, need an intervention where they can assist virtual characters”). We already did this in the past, which can inform the literature review to a certain extent.

Prerequisites

  • Strong interested in searching for scientific literature and reading it.

How to apply

Please send me an email with the following pieces of information (if you do not answer every point, your application will not be considered):

  • When you plan to start the project
  • When you plan to finish the project
  • A short motivational statement why this project is interesting for you
  • A summary why you be a good fit for this project
  • Your transcript of records
  • Which literature on "How to do systematic literature reviews" you have already read
  • On one page, how you would do the systematic literature review for the above topic
See personal profile of Dr. Pascal Lessel

In this project, we will focus on monitoring physiological exercise executions. We distinguish two levels of monitoring:

  • Level 1 (“quantity”): recognizing that an exercise execution has been done correctly
  • Level 2 (“quality”): recognizing that an exercise execution has been done correctly; and if not, incorrectly and providing real-time feedback on what was wrong (e.g., wrong posture, execution speed too fast).

While level 1 can be used to automatically track whether a person follows assigned training plans, level 2 can be used as an assistive system, for example, in a rehabilitation setting.

The challenge in this project is that only off-the-shelve cameras (e.g., a smartphone camera or a web cam) should be used as sensors and that training material is restricted (e.g., it will not be possible to record hundreds of videos as training data showing wrong exercise executions). Given these restrictions, this project should explore what is possible in respect to level 1 and/or level 2. Ideas will be discussed initially with the advisors of this project and a small set of exercises will be agreed upon.

Prerequisites

  • Visual computing and/or machine learning background
  • A plus: knowledgeable about physio / rehab / sports exercise executions.

How to apply

Please send me an email with the following pieces of information (if you do not answer every point, your application will not be considered):

  • When you plan to start the project
  • When you plan to finish the project
  • A short motivational statement why this project is interesting for you
  • A summary why you be a good fit for this project
  • Your transcript of records
  • How would you approach this topic (max. 1 page)
See personal profile of Julian Wolter