Checking date: 26/04/2024

Course: 2024/2025

Digital and Connected Design
Master in Design Engineering for Industry 5.0 (Plan: 498 - Estudio: 385)

Coordinating teacher: GARCIA GUZMAN, JAVIER

Department assigned to the subject: Computer Science and Engineering Department

Type: Compulsory
ECTS Credits: 3.0 ECTS


The objective of this course is that the student learns the organization and structure of basic elements for the design of digitized and connected products. Likewise, students will learn the services that integrate this type of systems based on sensors and actuators and understand the influence that design decisions have on the behavior of a digitized and connected product.
Skills and learning outcomes
Description of contents: programme
1. Current Technologies for IoT Systems 2. IoT Devices: Sensors & Actuators 3. IoT Devices: Control Elements 4. IoT Device Clouds: Fundamentals and Components 5. Communication Protocols between IoT Devices and IoT Cloud Components 6. User Interfaces for IoT Systems
Learning activities and methodology
TRAINING ACTIVITIES AF1 - Theoretical class [10.5 hours, 100% attendance]. AF2 - Practical classes [10.5 hours, 100% attendance]. AF3 - Tutorials [2 hours, 25% of attendance] AF4 - Group work [25 hours, 0% of attendance]. AF4 - Group work [25 hours, 0% attendance]. TEACHING METHODOLOGIES MD1 - Class lectures by the professor 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. MD2 - Critical reading of texts recommended by the professor of the subject: press articles, reports, manuals and/or academic articles, either for later discussion in class, or to expand and consolidate the knowledge of the subject. MD3 - Resolution of practical cases, problems, etc. .... posed by the teacher individually or in groups. MD4 - Presentation and discussion in class, under the moderation of the professor of topics related to the content of the subject, as well as case studies.
Assessment System
  • % end-of-term-examination 0
  • % of continuous assessment (assigments, laboratory, practicals...) 100

Calendar of Continuous assessment

Basic Bibliography
  • Amita Kapoor. Hands-On Artificial Intelligence for IoT: Expert machine learning and deep learning techniques for developing smarter IoT systems. Packt Publishing. 2019
  • Dirk Slama, Frank Puhlmann, Jim Morrish, Rishi M Bhatnagar. Enterprise IoT: Strategies and Best Practices for Connected Products and Services. O'Reilly Media. 2015
  • Giacomo Veneri. Hands-On Industrial Internet of Things: Create a powerful Industrial IoT infrastructure using Industry 4.0. Packt Publishing. 2018
  • Perry Lea. Internet of Things for Architects: Architecting IoT solutions by implementing sensors, communication infrastructure, edge computing, analytics, and security. Packt Publishing. 2018
  • Qusay F. Hassan. Internet of Things A to Z: Technologies and Applications. Wiley-IEEE Press. 2018

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