In this course, students will delve into the world of Smart Cities, exploring the basic operation of sensor management platforms for the collection and visualization of data in real time, as well as the analysis of data collected through Big Data platforms. At the end of the course, students will be able to:
- Understand how sensor management platforms work.
- Apply Big Data analysis techniques to extract relevant information.
- Design and implement innovative solutions to improve urban efficiency.
1. Complex data mining.
2. Sensor control platforms.
3. Big Data, Open Data and Smart City data management.
4. IoT / Smart Cities business model.
Students will be immersed in the exciting world of Smart Cities through masterclasses that combine theory and practice. During these sessions, the key conceptual and technological foundations behind smart cities will be explored, along with the opportunity to directly apply this knowledge in practical activities. In addition, students will have the challenging task of conducting a case study, where they will put into practice everything they have learned to analyse and propose innovative solutions to real challenges faced by modern cities on their path towards sustainability and efficiency.
Presentation of project/case study, IoT technologies questionnaire and active participation in classes and forums.
The course will be assessed based on three different aspects:
· Development and presentation of the project (70%):
The final project of the course will be developed and presented as a group, although the score will be calculated individually based on the presentation and participation of each student in the project. To calculate the final individual score, the evaluation of the project evaluation committee (which will be made up of three of the professors of the course), the feedback from the rest of the students from other groups and the feedback from the students of the same group will be taken into account (specific templates will be provided for the evaluation of the presentations of the other groups and the partners of their group).
· Questionnaire Technologies applied to Smart Cities (20%):
To complement the evaluation of the group work carried out in the course project, a questionnaire will be shared with the students in the final phase of the course. Each student must answer it individually at home and hand it in.
· Participation in classes and forums (10%)
The different teachers of the subject will take note of the active participation of each student in the class, contributing their ideas, doubts and collaborating in the fluid and interactive development of the master classes.
The bibliography will be detailed throughout the course.
All class material (presentations, exercises, articles, documents, etc.) will be shared in the subject folder on the La Salle Intranet: eStudy.