Checking date: 09/05/2022


Course: 2022/2023

Computer Engineering and Systems for the IoT
(18105)
Study: Master in Internet of Things: Applied Technologies (356)
EPI


Coordinating teacher: MARTIN GOMEZ, DAVID

Department assigned to the subject: Department of Computer Science and Engineering

Type: Electives
ECTS Credits: 3.0 ECTS

Course:
Semester:




Objectives
CB6. Knowledge and understanding of opportunities in the development and/or application of ideas, often in a research context. CG8. Ability to apply the knowledge obtained and solve problems in new or little-known environments in broader and multidisciplinary contexts, with the ability to integrate knowledge. CG11. Ability to communicate (orally and in writing) some conclusions - and the knowledge and reasons behind - to specialized and non-specialized audiences in a clear and unambiguous way. CE1. Ability to integrate general technologies, applications, services and systems of Computer Science into broader and multidisciplinary contexts. CE12. Ability to apply mathematical, statistical and artificial intelligence methods to model, design and develop applications, intelligent and knowledge-based systems. Learning results: RA12 Critical awareness of the vanguard knowledge of his speciality. RA52. Comprehensive knowledge of applicable methods and techniques and their limitations RA43 The ability to critically analyse the data and reach conclusions RA31. Ability to use their knowledge and understanding in order to provide solutions to be applied in problems using knowledge beyond those of the discipline. R43. The ability to critically analyze the data and reach conclusions.
Skills and learning outcomes
Description of contents: programme
Computer Systems in IoT: a. Hardware (Microcontrollers) b. Types and operation of sensors. c. Operation of Actuators. d. Time Series Databases. e. Time Series Database Management
Learning activities and methodology
FORMATION ACTIVITIES: - Theoretical classes - Laboratory practices - Teamwork - Individual student work - Partial evaluations METHODOLOGY: - Exhibitions in the teacher's class with the support of computer and audiovisual media, in which the main concepts of the subject are developed and the bibliography is provided to complement the students' learning. - Resolution of practical cases, problems, etc.¿ posed by the teacher individually or in groups. - Exhibition and discussion in class, under the professor's moderation of topics related to the content of the subject, as well as case studies - Preparation of papers and reports individually or in groups. TUTORIALS: Individual tutorials that will allow the student to consult individually with the teacher specific doubts about the subject of the program and the exercises /problems proposed.
Assessment System
  • % end-of-term-examination 0
  • % of continuous assessment (assigments, laboratory, practicals...) 100
Calendar of Continuous assessment
Basic Bibliography
  • Vlasios Tsiatsis. Internet of Things : technologies and applications for a new age of intelligence. London etc. : Academic Press. 2019

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