Current trends in communication technologies

Study programs

Teaching information

Teachers

prof. Ing. Jozef Juhár, PhD. doc. Ing. Matúš Pleva, PhD.

Schedule

Learning outcomes

By completing the subject, the student will gain an overview of current trends in the field of modern communication technologies with a focus on current and innovative technologies in the field of mobile networks, the Internet of Things, sensor systems, speech and multimodal human-machine communication, deep learning in the field of communication technologies, and also innovative technologies in the field of security.

Course outline

1. Introduction to communication technologies 2. Resilient mobile content delivery networks 3. Robust UWB sensor systems 4. Human-machine communication in natural language 5. Heterogeneous networks and optimization of their operational properties 6. Internet of Things 7. Enterprise Passwordless Security & Digital Identity Vault 8. Question answering and chatbot technologies. 9. Deep learning in communication technology applications 10. Robotic Process Automation 11. Protection of intellectual property rights in communication technologies.

Completion conditions

Assessment and completion of the course: Graded credit test Continuous assessment: Final assessment: Student passes the final assessment and passes the examination when he or she meets the requirement to obtain at least 51% out of 100%. Graded credit test Overall assessment: Overall assessment is the sum of the assessments obtained by students in the assessment period. The overall result is determined in accordance with the internal regulations of the Technical University in Košice. (Study Regulations, the internal regulation principles of doctoral studies)

Recommended literature

1. August E. Grant, Jennifer H. Meadows, Communication Technology Update and Fundamentals: 17th Edition 17th Edition, Routledge; 17th edition (June 15, 2020), ISBN ‎ 978-0367420130 2. Vlasios Tsiatsis, Stamatis Karnouskos, Jan Holler, David Boyle, Catherine Mulligan, Internet of Things, Technologies and Applications for a New Age of Intelligence, Academic Press 2018, ISBN: 9780128144367 3. Frank Fitzek, Fabrizio Granelli, Patrick Seeling, Computing in Communication Networks. From Theory to Practice, Academic Press 2020, ISBN: 9780128209042

Notes

To successfully complete the course, it is necessary to obtain a credit and successfully pass the exam. This includes the student's participation in educational activities of direct teaching, lectures, exercises, as well as independent study and independent creative activity of the student in processing the semester assignment / assignments, project on a specified topic, to a specified extent, in a specified design of a total of 180 hours intensity of the student's work per semester.

Grade distribution

Total graded students: 258