Tartu Ülikool

Call for data and challenges for student projects

This autumn, we are teaching courses on Data Science and Machine Learning at the University of Tartu. In these courses, students will learn to apply relevant data science and machine learning methods for extracting valuable insights and building models from the data. During the course, the students will form groups (of 3 - 4) to work on a project. As we strive to provide our students with as practical experience as possible, we are looking to create a diverse set of projects that represent challenging real-life problems. As much as for students, this is an opportunity to tackle an interesting problem. For the project owner, it could be a great way to verify an initial hypothesis or try out something they had no time for on a new dataset. Also, we, as instructors, will offer our guidance to the students.

Hence, we decided to open a call for project ideas and datasets.

What projects are we looking for?

We don’t have an explicit list of “must” or “mustn’t”. However, the idea you have in mind should be:

  1. Strongly linked to Machine Learning or Data Science
  2. Important to you and the society
  3. Challenging (e.g., no ready-made solutions online), but ...
  4. Doable by students
  5. Accompanied by a relevant dataset or data that can be collected online with little effort.

How much time should you dedicate?

Of course, it would be ideal if you could dedicate some time to get in touch with students to explain the idea and your initial hypothesis about the dataset. However, it is not necessary nor expected that you spend a lot of time supervising the students (of course, otherwise, very much appreciated). You will be more than welcome to attend the final project presentation organized in December.

How to connect with us?

Please describe your project idea by filling in this online form. We shall expect your projects by September 30, 2023.

Please note that although we will do our best to advertise your project in our courses, we, unfortunately, cannot guarantee that the students will eventually select it.

Describe your project here

Thank you! We highly appreciate your time. 

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