Interdisciplinary Science & Education Laboratory
Uni Koblenz-Landau: VAK 04IN2111
Category: Course (Lecture+Laboritory), 4 SWS
Master Course
ECTS: 6, Winter Semester
University of Koblenz-Landau
Lecturer: PD Dr. Stefan Bosse
The lecture follows the concept of research-based learning and provides a hands-on and experimental introduction to Crowd Sensing and Social Data Mining with Mobile Agents. In this lecture, students will learn the practical handling and implementation of distributed crowdsensing and social data mining applications using simple examples. As a distributed data processing and communication model mobile agents are used. The JavaScript-based execution platform JAM can be run on a variety of host platforms, including mobile devices (smartphones), desktop computers, servers, embedded computers and sensor networks, and on the Internet via a WEB browser. In the foreground is a heterogeneous distributed application with user interaction (HMI), the agent model is just a tool and serves as the "unit cell" of a self-organizing system. Therefore, only basic knowledge of agents and distributed systems is required, which will be summarized briefly in the event. It introduces the basics of mobile crowd sensing, the problems (how do I motivate users to participate, etc.), the security and privacy of personal data, and the aggregation of data.