Checking date: 04/06/2019


Course: 2019/2020

IoT Application Sectors
(18112)
Study: Master in Internet of Things: Applied Technologies (356)
EPI


Coordinating teacher: AMARIS DUARTE, HORTENSIA ELENA

Department assigned to the subject: Department of Electrical Engineering

Type: Compulsory
ECTS Credits: 3.0 ECTS

Course:
Semester:




Competences and skills that will be acquired and learning results.
Basic skills CB6 Acquire and understand fundamental knowledge which provide a base or opportunities for the development and/or application of original ideas in a research context CB7 Application of the acquired knowledge and their ability to solve problems in new environments (or multidisciplinary) contexts related to their area of study CB8 ability to integrate knowledge and make judgments based on information that, being incomplete or limited, includes reflections on social and ethical responsibilities linked to the application of their knowledge and judgments CB9 ability to communicate their findings and knowledge to specialized and non-specialized audiences in a clear and unambiguous way General skills CG2 Ability to compile and analyze existing knowledge in the different areas of IOT, autonomously, and the ability to make a proposal of possible solutions to the problems posed. CG4 Ability to work as a team, integrating multiple multidisciplinary teams. CG6 The ability to apply acquired knowledge and solve problems in media environments in the broadest and most multidisciplinary contexts, with the ability to integrate knowledge. LEARNING RESULTS Students acquire knowledge about the possibilities of IoT application in the health, industrial and business sector.
Description of contents: programme
1. Introduction IoT: Basic concepts, social impact 2. IoT in smart cities 3. IoT in the transport sector 4. IoT in the financial sector 5. IoT in the industry: logistics and Distribution 6. IoT applications in the connected home 7. IoT in the health sector 8. IoT in the energy sector 9. IoT in defense 10. Legal challenges of emerging technologies (IA, IoT, DLT) 11. Responsibility derived from autonomous systems (AI): autonomous vehicles, robots and decision-making processes based on algorithms 12. Case studies
Assessment System
  • % end-of-term-examination 30
  • % of continuous assessment (assigments, laboratory, practicals...) 70
Basic Bibliography
  • Buyya, Rajkumar ; Dastjerdi, Amir. Internet of Things: Principles and Paradigms . Morgan Kaufmann. 2016
  • Salazar Soler, Jorge. Silvestre Bergés, Santiago . Internet de las cosas: . European Virtual Learning Platform for Electrical and Information Engineering. 2016
Additional Bibliography
  • Ejaz, Waleed, Anpalagan, Alagan . Internet of Things for Smart Cities. Springer. 2019

The course syllabus and the academic weekly planning may change due academic events or other reasons.