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Teaching

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Teaching

We offer courses for undergraduate and graduate students of the Faculty of Technology in the areas of human-centered AI and multimodal behavior processing. Our seminars are research-oriented, combine practical exercises with theoretical input and give insights into current debates in the field.

All courses taught by our group are listed on ekVV.
Courses that we regularly teach include:

  • Multimodal Behavior Processing: Affective Signals (lecture + exercise; winter semester)
  • The devil is in the detail: understanding statistics through replication and critical reading (seminar; winter semester)
  • Introduction to Neural Networks (lecture + exercise; summer semester)
  • Real-World Problems of Artificial Intelligence (seminar + exercise; summer semester)
  • Human-Centered Artificial Intelligence: research colloquium (seminar; winter and summer semester)

Currently and previously taught courses, including student projects, as well as available theses are listed below.

If you are interested in doing a project, an internship or a thesis with our group, please reach out Dr. Olya Hakobyan.

Student projects & theses

The following student projects are currently being offered in our group (winter semester 26/27):

The following thesis topics are currently being offered in our group:

There are currently no theses being offered. If you would like to propose your own idea, feel free to reach out to Dr. Olya Hakobyan.
Alternatively, you can sign up for our newsletter, where we regularly announce opportunities for theses, internships and open positions.

Current courses: winter semester 26/27

ekVV Ref.No. Course

392117

Lecture: Multimodal Behavior Processing: Affective Signals (Drimalla)
392118

Exercise: Multimodal Behavior Processing 'Affective Signals' (Drimalla, Pardhi)
392132

Seminar: The devil is in the detail: understanding statistics through replication and critical reading (Drimalla, Hakobyan)
392135

Project: Development of a Drag-and-Drop Interface for WhatsApp Contact Organization (Hakobyan, Drimalla)
392146

Seminar: Machine Learning for Remote Photoplethysmography (Drimalla, Acharya, Martin)
392147

Exercise: Machine Learning for Remote Photoplethysmography (Drimalla, Acharya, Martin)
392148

Project: Machine Learning for Remote Photoplethysmography (Drimalla, Acharya, Martin)
392238

Seminar: Human-Centered Artificial Intelligence (Forschungskolloquium) (Drimalla)
392251 Project: Analysis of social interaction time series (Hakobyan, Drimalla)
392253

Project: Head Gesture Detection Using Optical Flow (Drimalla, Pardhi)
392254

Project: Head Gesture Recognition Using Hidden Markov Models (Drimalla, Pardhi)
392256

Project: Building a Head Gesture Video Dataset (Drimalla, Pardhi)
392270

Project: Detecting Duplicates in Data Donations (Martin, Drimalla)

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