Learning Outcomes
After successfully finishing this module, the participating students have
• well-founded knowledge in an application domain
• hands-on experiences in applying methods from the field of Artificial Intelligence to challenging problems of the future society
• improved their capacity for teamwork and competence in project management
• improved presentation and writing skills
Content
This module addresses challenges in one of the following domains with accompanying topics, such as:
eGovernment: exploitation of Linked Open Data, application of enterprise management systems in administration offices, analysis of Big Data for the improvement of public services.
Energy: energy patterns in households or the operation of smart micro grids.
Industry 4.0, in combination with cyberphysical systems and the Internet of Things.
Health care and Abient Assisted Living: diagnosis, surveillance, and information services based on sensor data or the analysis of social media streams.
Logistics and Transport: traffic flow analysis and forecasting, and control; car sharing; intermodal public transport routing.
Description of Teaching and Learning Methods
Project work within small groups, weekly project meetings, milestones, requirements specification, implementation, evaluation, documentation, presentation of results.
Registration Procedures
QISPOS registration as well as according to the specific examination regulations (Prüfungsordnung).
Additionally, the registration on the ISIS course page is required prior to the start of the semester.
