Modules
and subjects
- A1.- Introduction to the Technological Framework
- A2.- IoT Principles
- B1.- Introduction to Electricity and Electronic Equipment
- B2.- Systems-on-a-chip
- C1.- Communication Infrastructures for IoT
- D1.- Big Data Capture in IoT/Smart Cities
- D2.- Non-conventional Databases
- D3.- Distributed Processing Models
- D4.- Visualization
- D5.- Open data
- E1.- IoT Applications
- F1.- Concepts and Models
- F2.- City Planning and the Innovation Ecosystem
- G1.- Smart Buildings. Domotic systems
- G2.- From a Digital Home to a Digital City
- H1.- Data sciences I
- H2.- Data sciences II
- I1.- The History and Features of Additive Manufacturing
- I2.- Digital Transformation Applied to the Industrial Sector
- J1.- Fundamentals of Automation and Robotics
- J2.- Application of Collaborative Robotics
In the case of company internships, if they are not selected as part of the training programme, they can be carried out externally (non-evaluable).
* Both the agenda and the timetable are subject to change depending on the availability of the teachers.