Intelligent Interactive Systems (IISY)

The Master’s programme in Intelligent Interactive Systems (IISY) provides training of the knowledge and skills that enable students to analyse, design and develop state-of-the-art autonomous intelligent (AI) systems. Such systems are characterised by their ability to perceive a complex or open environment and to interact with it intelligently. An essential feature of such systems is their ability to learn and thus to adapt to unknown or changing environments, tasks, or users. Such systems are relevant in many areas such as robotics, autonomous agents, assistive systems, recommender systems or web information systems. Students in the programme will be increasingly enabled to work independently according to the scientific principles of machine learning and cognitive computer science. In addition to imparting knowledge, the Master’s programme explicitly focuses on providing practical, professional skills as well as abilities such as interdisciplinary research methods, critical thinking, and teamwork. The contents of the study programme reflect the current developments towards modern intelligent systems that interact autonomously with their environment. A double degree with a one-semester stay abroad at the University of Bologna (Italy) is possible. The programme provides three thematic blocks in which students can specialise: Interaction Technology (INT), Artificial Intelligence & Machine Learning (AI), and Autonomous Systems Engineering (ASE). In the first semester, fundamental competencies can be acquired or extended in basics modules from each block. In the second and third semesters, specialisation takes place through advanced modules (theoretical-methodical contents) or applied modules (practical applied competencies). Both module types can be studied either as standard (5 credit points) or in-depth (10 credit points) version. Students can choose from a variety of courses offered in the respective block for the corresponding module types (basic/advanced/applied). In the first and second semesters, students are required to take courses from a Scientific Research Methods (SRM) module that conveys techniques of scientific work necessary for successful completion of the Master's thesis. In the third semester, there will be a group project (10 credit points), which is intended to involve three to five students. During this project, students will independently structure and carry out practical work. The objective is to encourage collaboration among students with diverse specialisations in the areas of INT, AI, and ASE. Assessment will consider both team performance and individual contributions separately, leading to an individual, non-graded module performance evaluation. PDF Download