Teaching

Technology-enhanced, student-centered learning

‚ÄčSoco-teaching-portfolio

We offer lectures, seminars, and practical courses in learning technologies, web technologies, data science and visual analytics for students of Applied Computer Science, Komedia, and ISE at bachelor and master level. We teach how data analytics and visualization can open up new ways of interactions in social media, in learning environments and at the workplace. We follow a technology-enhanced, student-centered learning approach, by giving students the opportunity to learn self-paced, project-oriented and active in groups, mediated by technology-enhanced learning environments. Our students can thus get familiar with a self-regulated, inquiry- and problem-based approach to learning that can drive their practice when they graduate from university.

Current Courses (Winter Semester 2019/20)

Check out our list of courses in the previous semesters.

Open Theses

Type

Topic

Contact

Master's Thesis

Explainable and Holistic Learner Modeling M.Sc. Mouadh Guesmi
Dr. Arham Muslim

Master's Thesis (Komedia)

The Effects of Visual Explanations on the User Interaction with a Recommender System M.Sc. Mouadh Guesmi
Dr. Arham Muslim

Master's Thesis

Spark-based Indicator Execution in OpenLAP Dr. Arham Muslim

Master's Thesis

Supporting Indicator Reuse and Recommendation in OpenLAP Dr. Arham Muslim

Check out our theses overview page for more details on how to apply.