545-0015/01 – Automatic identification systems (Auto-ID)
| Gurantor department | Department of Economics and Control Systems | Credits | 5 |
| Subject guarantor | doc. Ing. Pavel Staša, Ph.D. | Subject version guarantor | doc. Ing. Pavel Staša, Ph.D. |
| Study level | undergraduate or graduate | Requirement | Compulsory |
| Year | 2 | Semester | summer |
| | Study language | Czech |
| Year of introduction | 2015/2016 | Year of cancellation | 2020/2021 |
| Intended for the faculties | HGF | Intended for study types | Bachelor |
Subject aims expressed by acquired skills and competences
Students will learn to effectively organize and describe fundamental concepts and technologies in automatic identification, compare and analyze differences between barcodes, RFID, NFC, and biometric systems. They will gain competencies in applying various identification systems in real-world environments, be able to develop basic integrations with information systems.
Teaching methods
Lectures
Individual consultations
Tutorials
Project work
Teaching by an expert (lecture or tutorial)
Summary
The course provides an overview of automatic identification technologies and their practical applications. Students will learn to distinguish between barcodes, RFID, NFC, and biometric systems, analyze their characteristics, and compare their advantages and limitations.
Emphasis is placed on data collection and processing, security aspects including GDPR, and standards in the field of identification systems. Students will become familiar with the integration of these technologies into information systems and industrial processes, including their use in IoT and real-time location systems (RTLS).
Upon completing the course, students will be able to effectively design and implement identification systems in logistics, industry, and other sectors, adapt them to security requirements, and keep up with new trends in automatic identification.
Compulsory literature:
Recommended literature:
Additional study materials
Way of continuous check of knowledge in the course of semester
E-learning
Other requirements
Student has to elaborate individual programs.
Prerequisities
Subject has no prerequisities.
Co-requisities
Subject has no co-requisities.
Subject syllabus:
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Conditions for subject completion
Occurrence in study plans
Occurrence in special blocks
Assessment of instruction