Miért és hogyan válhatunk hatékony és sikeres mérnökké?
„Agykarbantartás” koncepció és „Nobel-sörök” motiváció a radartechnológiák oktatásában
Copyright (c) 2026 Balajti István
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Absztrakt
A Debreceni Egyetem Műszaki Karán kifejlesztett „Agykarbantartás” és „Nobel-sörök” oktatási koncepció radartechnológia-példákon keresztül erősíti a mérnöki alapkészségeket. A módszer válasz az ipar 4.0 által kibontakozó gyors technológiai változásokra és az ipar 5.0, a mesterséges intelligencia (MI) az élet minden területét érintő integrálására, kiemelve az általánosan elvárható alapkészségek folyamatos fejlesztését, ami a hazai hadmérnökképzés újraéledését is elősegítheti.
Kulcsszavak:
Hogyan kell idézni
Hivatkozások
[1] P. Abichandani et al., „Internet-of-Things Curriculum, Pedagogy, and Assessment for STEM Education: A Review of Literature,” IEEE Access, 10. évf. 1. sz. pp. 31624–31667. 2022. Online: https://doi.org/10.1109/ACCESS.2022.3164709
[2] I. R. Adochiei et al., „Human Behavior Recognition System using Physiological Signals,” in Proc. 13th Int. Symp. Advanced Topics Electrical Engineering (ATEE), Bucharest, 2023, pp. 1–4. Online: https://doi.org/10.1109/ATEE58038.2023.10108220
[3] T. Alexander et al., „Mobile Communications and Networks,” IEEE Communications Magazine, 58. évf. 5. sz. pp. 48–48. 2020. Online: https://doi.org/10.1109/MCOM.2020.9112741
[4] M. S. Allahham et al., „Motivating Learners in Multiorchestrator Mobile Edge Learning: A Stackelberg Game Approach,” IEEE Canadian Journal of Electrical and Computer Engineering, 46. évf. 1. sz. pp. 69–76. 2023. Online: https://doi.org/10.1109/ICJECE.2022.3206393
[5] I. Balajti, „Gondolatok az Education 5.0 alapú hadmérnökképzés szükségessége és megvalósításának elvárásai témakörben: Hogyan képezzünk Ipar 5.0 környezetbe integrált Dobó Istvánokat és Bornemissza Gergelyeket?,” in Szemelvények a katonai műszaki tudományok eredményeiből VI. Padányi J., Gőcze I. szerk. Budapest, Ludovika, 2025, pp 7–32. Online: https://doi.org/10.36250/01323_01
[6] M. Berntzen et al., „A Taxonomy of Inter-Team Coordination in Large-Scale Agile,” IEEE Transactions on Software Engineering, 49. évf. 2. sz. pp. 699–718. 2023. Online: https://doi.org/10.1109/TSE.2022.3160873
[7] B. Burjan-Mosoni, I. Balajti, I. Kocsis, „Expanding Soft Skills Development Across Undergraduate Engineering Education,” Journal of Integrated Design and Process Science, 2026, pp. 1–19. Online: https://doi.org/10.1177/10920617251409518
[8] C. Campolo, A. Iera, A. Molinaro, „Network for Distributed Intelligence: A Survey and Future Perspectives,” IEEE Access, 11. évf. pp. 52840–52861. 2023. Online: https://doi.org/10.1109/ACCESS.2023.3280411
[9] R. Carrasco-Navarro et al., „MEIoT 2D-CACSET: Educational Toolkit for Cartesian System,” Sensors, 22. évf. 9. sz. p. 3245. 2022. Online: https://doi.org/10.3390/s22134802
[10] R. Clark, A. Kaw, „Adaptive Learning in Numerical Methods Course,” Applications in Engineering Education, 30. évf. 1. sz. pp. 62–79. 2022. Online: https://doi.org/10.1002/cae.22175
[11] N. M. Gyöngyössy et al., „Supervised Learning for Gesture Recognition by Spiking Neural Networks,” in Proc. IEEE Symp. Series Computational Intelligence (SSCI). Xiamen, 2019, pp. 2201–2206. Online: https://doi.org/10.1109/SSCI44817.2019.9002720
[12] G. V. Helden et al., „The Use of Digital Peer Assessment in Higher Education – An Umbrella Review of Literature,” IEEE Access, 11. évf. pp. 22948–22960. 2023. Online: https://doi.org/10.1109/ACCESS.2023.3252914
[13] I. Holik, I. D. Sanda, „Gondolatok a gyakorlati mérnöktanárképzésről,” Pedagógusképzés, 20. évf. 2. sz. pp. 112–119. 2021. Online: https://doi.org/10.37205/TEL-hun.2021.2.07
[14] H. Ibrahim et al., „Rethinking Homework in the Age of Artificial Intelligence,” IEEE Intelligent Systems, 38. évf. 2. sz. pp. 24–27. 2023. Online: https://doi.org/10.1109/MIS.2023.3255599
[15] K. Á. Kis et al. „Quarter Car Suspension State Space Model and Full State Feedback Control for Real-Time Processing,”in 2023 Signal Processing Symposium (SPSympo). Karpacz, 2023, pp. 73–78. Online: https://doi.org/10.23919/SPSympo57300.2023.10302720
[16] I. Kocsis, B. Burján-Mosoni, I. Balajti, „A Comprehensive Review of Key Cyber-Physical Systems, and Assessment of Their Education Challenges,” IEEE Access, 13. évf. pp. 8898–8911. 2025. Online: https://doi.org/10.1109/ACCESS.2025.3527714
[17] N. Leger, B. Berhane, „Literature Review on Computational Methods in Engineering Education,” in Proc. ASEE Annu. Conf. Exposition. Minneapolis, 2022.
[18] Y. Liu, Y., „RadarVerses in Metaverses: A CPSI-Based Architecture for 6S Radar Systems in CPSS,” IEEE Transactions on Systems, Man, and Cybernetics: Systems, 53. évf. 4. sz. pp. 2128–2137. 2023. Online: https://doi.org/10.1109/TSMC.2022.3228590
[19] F. Montori et al., „An IoT Toolchain Architecture for Condition Monitoring,” IEEE Access, 11. évf. pp. 6837–6856. 2023. Online: https://doi.org/10.1109/ACCESS.2023.3237971
[20] B. Nagy, P. Korondi, „Deep Learning-Based Recognition and Analysis of Limb-Independent Dog Behavior for Ethorobotical Application,” IEEE Access, 10. évf. pp. 3825–3834. 2022. Online: https://doi.org/10.1109/ACCESS.2022.3140513
[21] J. Qadir, „Engineering Education in Era of ChatGPT,” in Proc. IEEE Global Engineering Education Conf. (EDUCON). Kuwait, 2023, pp. 1–8. Online: https://doi.org/10.1109/EDUCON54358.2023.10125121
[22] „Radar History,” Radartutorial.eu. [Online]. Online: radartutorial.eu
[23] F. Sanfilippo et al., „Teaching Motion Control Using Elevator Model Framework,” Machines, 10. évf. 2. sz. p. 126. 2022. Online: https://doi.org/10.3390/machines10100945
[24] R. Shafique et al., „Role of Artificial Intelligence in Online Education: A Systematic Mapping Study,” IEEE Access, 11. évf. pp. 52570–52584. 2023. Online: https://doi.org/10.1109/ACCESS.2023.3278590
[25] F. Shi et al., „Survey and Tutorial on Hybrid Human-Artificial Intelligence,” Tsinghua Science and Technology, 28. évf. 3. sz. pp. 486–499. 2023. Online: https://doi.org/10.26599/TST.2022.9010022
[26] P. D. Sree et al., „Product Negotiation in E-Commerce using Chatbot,” in Proc. 7th Int. Conf. Computing Methodologies Communication (ICCMC), Erode, 2023, pp. 879–883. Online: https://doi.org/10.1109/ICCMC56507.2023.10083745
[27] Technical and Vocational Education and Training: Issues, Concerns and Prospects. Springer, 2019.
[28] M. Wilson-Fetrow et al., „Engineering Students' Writing Perceptions Impact Their Conceptual Learning,” IEEE Transactions on Professional Communication, 66. évf. 2. sz. pp. 186–201. 2023. Online: https://doi.org/10.1109/TPC.2023.3251159
[29] MATLAB Help Center – Community – Learning: MATLAB Onramp, MATLAB Onramp | Self-Paced Online Courses - MATLAB & Simulink