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RFID Technology and Sensor Systems

Code: 106955
Credits: 6
2026/2027
Degree programme Type Course
Management of Smart and Sustainable Cities OP 4

Contact lecturer

Name :
Jordi Bonache Albacete
Email :
jordi.bonache@uab.cat

Teaching staff

Ferran Paredes Marco
Gerard Zamora Gonzalez
Pablo Mira De Orduña Clarés

Teaching staff (external to UAB)

Joan Villaraco

Group languages

You can consult this information at the end of the document.

Prerequisites

It is advisable to have taken the following subjects:

- Fundamentals of Electronics

- Instrumentation and Sensors

- Digitization and Microcontrollers

Objectives

The overall goal of the subject is to provide the basic knowledge and techniques that allow the student to enter the Internet of Things (IoT) sector and its applications in smart city management.The subject covers different technologies, such as RFID, NFC, intelligent sensing, positioning systems, sensor networks, IoT dashboards, etc.The subject will be carried out from an eminently practical approach and oriented to the application of each one of these technologies.

Learning outcomes

  • CM17 (Distinguish the economic and environmental costs of the use of information and communication technologies.) Distinguish the economic and environmental costs of the use of information and communication technologies.
  • KM23 (Understand the use of the information captured in monitoring and decision-making systems.) Understand the use of the information captured in monitoring and decision-making systems.
  • SM20 (Develop skills in writing and presenting business projects linked to the management of smart and sustainable cities.) Develop skills in writing and presenting business projects linked to the management of smart and sustainable cities.

Contents

Short-range technologies: NFC, LF-RFID, HF-RFID

Long-range technologies: UHF-RFID, MW-RFID

Differences between active and passive technologies and applications (Integration of citizen cards, traffic management, mail and logistics management, etc.)

Analog and Digital sensors and embedded systems in digital sensing.

Positioning systems.Position and range sensors.Units of inertial measurement.

Introduction to DSPs and processor ESP32 D32 R1.

Sound and image.Voice recognition.Digital cameras.

Sensors for building and digitization in urban space.

MQTT and NODE-RED for IoT Dasboards.

Learning activities and methodology

Title Hours ECTS Learning outcomes
Study at home 25 1
Laboratory sessions preparation 12 0.48
Laboratory sessions 12 0.48
Master classes 26 1.04
Solve problems at home 15 0.6
Problems seminars 12 0.48
Tutorials outside of class hours 7.5 0.3

Directed activities:

  • Master CLasses: The teacher will explain the topics using the projection cannon and blackboard.
  • Problem seminars: The teacher will perform, or in some cases the students themselves, example problems in small groups of students.
  • Laboratory sessions: Prior to the practice session, the student must prepare it and after it must submit a report.

Note: - The teaching materials of the subject will be available in the Virtual Campus of the UAB

- The preferred form of communication between teachers and students will be e-mail

Supervised activities: tutorials outside of class hours.

Autonomous activities:

  • Study at home
  • Solving class problems prior to completing them.
  • Preparation of Laboratory sessions.
Annotation: within the schedule set by the centre or degree programme, 15 minutes of one class will be reserved for students to evaluate their lecturers and their courses or modules through questionnaires.

Assessment

Continuous assessment activities

Title Weight Hours ECTS Learning outcomes
Delivery of Lab reports 25 10.5 0.42 CM17, KM23, SM20
2nd project delivery (Sensors) 37.5 15 0.6 CM17, KM23, SM20
1st project delivery (RFID) + oral presentation 37.5 15 0.6 CM17, KM23, SM20

Assessment will be based on the following activities:

  • The RFID part, with a weight of 37.5% of the final mark for the course. This part will be assessed through a group project and its oral presentation. The project will account for 70% of the mark for this part, while the presentation will account for 30% of the mark for this part.
  • The submission of a project corresponding to the sensors part, carried out individually, with a weight of 37.5% of the final mark for the course.
  • The results of the laboratory practical reports, carried out in groups, with a weight of 25% of the final mark for the course.

The mark for the project block will be obtained from the mark for the RFID part and the mark for the project corresponding to the sensors part, according to the weights indicated above. This block will be averaged with the practical work provided that the mark obtained is higher than 4.

If the course is not passed, the part corresponding to the projects may be reassessed by resubmitting the failed assignments and repeating the presentation. In order to take part in the reassessment, students must have previously been assessed on activities accounting for at least 2/3 of the final mark for the course.

If the course is not passed, the final mark will correspond to the mark obtained in the project and presentation block.

Failure to attend any of the practical sessions or not having any mark in the projects will result in the student being declared non-assessable.

The awarding of an honours distinction is at the discretion of the teaching staff responsible for the course. UAB regulations state that honours distinctions may only be awarded to students who have obtained a final mark equal to or higher than 9.00. Up to 5% honours distinctions may be awarded out of the total number of students enrolled.

Without prejudice to any other disciplinary measures deemed appropriate, any irregularities committed by the student that may lead to a change in the mark of an assessment activity will be awarded a zero. Therefore, copying, plagiarism, cheating, allowing others to copy, etc. in any of the assessment activities will result in that activity being failed with a mark of zero. Assessment activities graded in this way and through this procedure will not be eligible for reassessment. If passing any of these assessment activities is required in order to pass the course, the course will be failed directly, without the opportunity to recover it in the same academic year.

If the student repeats the course, the same assessment system as for the rest of the students will apply.

This course does not provide for the single assessment system.

For this course, the use of Artificial Intelligence (AI) technologies is permitted exclusively for support tasks, such as bibliographic or information searches, text correction, or translations. The student must clearly identify which parts have been generated using this technology, specify the tools used, and include a critical reflection on how these tools have influenced the process and the final result of the activity. Lack of transparency in the use of AI in this assessable activity will be considered a breach of academic honesty and may lead to a partial or total penalty in the mark for the activity, or more severe sanctions in serious cases.

There is a protocol for “requesting the rescheduling of assessment activities” according to the cases specified in the assessment criteria and instructions of the School of Engineering.

The dates of the assessment tests correspond to those published by the degree coordination on the website of the School of Engineering.

Students with disabilities or specific educational support needs, NESE, may contact the UAB Equality and Diversity Service, which provides specific support for the development of a full and autonomous academic and social life at the university.

For each assessment activity, a place, date and time for review will be indicated, during which students may review the activity with the teaching staff. In this context, claims regarding the grade of the activity may be submitted and will be assessed by the teaching staff responsible for the subject. If the student does not attend this review session, the activity will not be reviewed at a later date.

Bibliography

1. V.D. Hunt, A. Puglia and M. Puglia. RFID. A guide to Radio Frequency Identification. John Wiley & Sons,New Jersey 2007.2. H. Lehpamer. RFID design principles. Artech House, Norwood 2008.3. D. M. Dobkin. The RF in RFID. Passive UHF RFID in Practice. Elsevier 2008.

2. H. Lehpamer. RFID design principles. Artech House, Norwood 2008.

3. D. M. Dobkin. The RF in RFID. Passive UHF RFID in Practice. Elsevier 2008.

4. Fortino, Giancarlo, Liotta, Antonio. Internet of Things. Technology, Communications and Computing. Springer. ISSN: 2199-1073

5 GS1, EPC® Radio-Frequency Identity Generation-2 UHF RFID Standard: Specification for RFID Air Interface Protocol for Communications at 860 MHz – 930 MHz, Release 3.0.1, Ratified, Feb. 2026.

Software

- Tinkercad - For editing Arduino projects.

- Arduino Ide for programming ESP32 R32 D1 processors.

- NODE-RED and Mosquitto.

Course groups and languages

The information provided is provisional until November 30. After this date, you will be able to consult the language of each group through this link. To access the information, you will need to enter the course CODE

Type of teaching Group Language Semester Shift
(TE) Theory 1 Catalan second semester morning-mixed
(PAUL) Classroom practices 1 Catalan second semester morning-mixed
(PLAB) Practical laboratories 1 Catalan second semester morning-mixed