Checking date: 16/05/2022

Course: 2022/2023

Sensitive Intelligent Environments: IoT (Internet of Things)
Bachelor in Computer Science and Engineering (2018 Study Plan) (Plan: 431 - Estudio: 218)


Department assigned to the subject: Computer Science and Engineering Department

Type: Electives
ECTS Credits: 3.0 ECTS


Requirements (Subjects that are assumed to be known)
- Artificial Intelligence (Year: 2 / Semester: 2) - Logic (Year 1: /Semester: 2 )
The goal is to provide the student with knowledge about applications of Interner of the Things (IOT), through sensors that have autonomy and intelligence. The student has to end the semester knowing the foundations, methods and techniques of Distributed Artificial Intellligence (based on the agents paradigm).
Skills and learning outcomes
Description of contents: programme
- Introduction to IoT: foundations, concepts and its relationship with distributed AI. - Communication and coordination of autonomous sensors represented by agents. - Intelligence of sensors-agents - Applications of IoT using agents
Learning activities and methodology
* Theoretical lectures: Mainly oriented to the acquisition of the theoretical knowledge of the subject' competences * Practical lectures: Mainly oriented to problem solving. * Partial exams: Oriented to prove the understanding of theoretical lectures * Practical homework: Oriented to prove the understanding of practical lectures, and towards the competences related to work in teams, work organization and written communication (in written reports) * Personal Tutorials
Assessment System
  • % end-of-term-examination 0
  • % of continuous assessment (assigments, laboratory, practicals...) 100
Calendar of Continuous assessment
Basic Bibliography
  • Michael J. Wooldridge. An introduction to multiagent systems. John Wiley & Sons . 2002
  • Michael J. Wooldridge. Reasoning about rational agents. MIT Press. 2000

The course syllabus may change due academic events or other reasons.