The core of the department's teaching activities is the basic computer science education of students, especially (but not only) in the ILB degree programs. This includes basic courses in the bachelor's and master's programs for learning how information systems work, programming, algorithms for standard problems, data structures, and computer networks. Advanced courses focus on topics in artificial intelligence, for example machine learning and adaptive software systems. This knowledge is illustated in real-world case studies in the area of food processing.
For final theses we follow a mentoring approach. The work with students should be done on an equal footing in a collaborative mentoring approach. The goal of each thesis is to achieve high quality through the supervision of a member of the field, resulting in a scientific publication.
