Digital Assistance Systems

11M1060

Master

German

5.0

irregular

1 semester

Digital assistance today is featured in many areas. Examples include customer services offering technical support, driver assistance, advice on investments in the financial sector, assistance during the execution of complex processes (e.g., surgery in the medical domain) or in the education sector. The underlying design principles of such systems share commonalities and will be examined within the course.

1. Foundations (construction principles, interfaces, knowledge processing)
2. Application domains & applications
3. Usable services & infrastructures
4. Assistance systems according to application areas
5. Comparison: possibilities and limitations
6. Perspectives

The total workload for the module is 150 hours (see also "ECTS credit points and grading").

• Field work / Experimental work and Presentation or
• Homework / Assignment

The experimental work is carried out in groups, documented (approx. 15-page report) and the results are finally presented.

• Experimental work: Experiment: approx. 3 experiments in total and presentation: approx. 15 minutes
• Term paper: approx. 15-20 pages, plus accompanying explanation if necessary: approx. 15 minutes

This module also addresses AI-based applications and systems. Basic knowledge of AI is therefore required. This knowledge is provided, for example, in the text book by Russell and Norvig (see bibliography). A particular focus is placed on human-machine cooperation. Experience in this area is helpful, but not mandatory.

Students deepen their knowledge of the potential applications, limitations, concepts and design principles of digital assistants as an area of application for IT technologies.

Students assess the use of assistance systems in current and future-oriented areas of application on the basis of specific knowledge. In particular, they will reflect on the state of the art in this field and will have a knowledge of open problems in the research area addressed.

Students have in-depth knowledge and skills for the targeted integration of existing infrastructures and backend systems for the realization of digital assistants.

Students independently identify research questions for investigating solution approaches and evaluating prototypes on the basis of specialist literature.  

Students can conceptualize solutions for the implementation of assistance systems and communicate and concretize them within interdisciplinary groups. They can analyze applications on the basis of qualitative and quantitative metrics, document the results and present them in summary form.

Students reflect critically on their professional actions in relation to social expectations and consequences.

• Eikerling, Heinz-Josef

• Eikerling, Heinz-Josef