Crowdsensing in smart environments course

Course content:

1. Smart environment design
   Smart environments. Designing of smart environments. Infrastructure of smart environments.
2. Crowdsensing 
   Introduction to crowdsensing. Participatory and opportunistic crowdsensing. Mobile crowdsensing. Data analasys gathered with crowdsensing.
3. Crowdsensing in smart cities
   Design of crowdsensing services in smart cities. Development of Arduino, Raspberry Pi and Android system for crowdsensing. Development of web services for data gathering and managing data bases. Development of web application for visualisation and analysis of gathered data.

Course is free of charge for all participants. Theoretical and practical teaching will be organized in cabinet 304 at Faculty of Organizational Sciences. All the participants are obliged to take a project related to the areas within the course.

Each participant who attends the classes and successfully completes the final project receives a certificate at the end of the course. For students or future students of Faculty of Organizational Sciences, the part of pre-exam obligations on one of the Elab subjects (depends on level of study) will be considered as completed, based on received certificate:

• Internet technologies – undergraduate studies
• Internet technologies and systems – master studies
• Internet technologies and systems – selected chapters – particular postgraduate studies
• Internet technologies – selected chapters – PhD studies