Subject Datasheet
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Budapest University of Technology and Economics |
Faculty of Transportation Engineering and Vehicle Engineering |
1. Subject name | Air Traffic Management (ATM) | ||||
2. Subject name in Hungarian | Air Traffic Management (ATM) | ||||
3. Code | BMEKOVRM224 | 4. Evaluation type | mid-term grade | 5. Credits | 3 |
6. Weekly contact hours | 1 (3) Lecture | 0 (0) Practice | 1 (4) Lab | ||
7. Curriculum | Transportation Engineering MSc (K) |
8. Role | Specialization (sp) at Transportation Engineering MSc (K) |
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9. Working hours for fulfilling the requirements of the subject | 90 | ||||
Contact hours | 28 | Preparation for seminars | 9 | Homework | 0 |
Reading written materials | 47 | Midterm preparation | 6 | Exam preparation | 0 |
10. Department | Department of Aeronautics and Naval Architectures | ||||
11. Responsible lecturer | Dr. Rohács Dániel | ||||
12. Lecturers | Dr. Rohács Dániel, Gál István | ||||
13. Prerequisites | |||||
14. Description of lectures | |||||
DEFINITION OF ATM - History and evolution of Air Traffic Management. The need for Air Traffic Management. ATM in the complete Air Traffic System. BASIC ELEMENTS - The structure of air traffic. International rules and laws. Air Traffic Flow Management. Air Traffic Control. Air Space Management THE LIMITATIONS OF CURRENT SYSTEM - The history of air traffic growing. Industry crises and their effects. Important traffic hubs and routes. Structure and evolution of air traffic. FUTURE OBJECTIVES AND DOCUMENTS - Traffic analysis and forecasting. Single European Sky. SESAR projects. Clean Sky projects. FligthPath 2050. ADVANCED AND FUTURE SYSTEMS - Separating and collision avoidance systems. Augmented Reality systems. Development of Remote Tower projects. Slot and take-off management. Workload and stress measurement methods. |
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15. Description of practices | |||||
16. Description of labortory practices | |||||
During labor courses students become familiar with the basic processes and future developments, especially with rTower and stress monitoring methods. | |||||
17. Learning outcomes | |||||
A. Knowledge
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18. Requirements, way to determine a grade (obtain a signature) | |||||
Performing laboratory practice and 1 mid-term exam (measuring the theoretical knowledge). The final grade is the result of the mid-term exam. | |||||
19. Opportunity for repeat/retake and delayed completion | |||||
Retake possibility of a laboratory excercise or the mid-term exam | |||||
20. Learning materials | |||||
The presentation about the lectures Literature |
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Effective date | 10 October 2019 | This Subject Datasheet is valid for | 2023/2024 semester I |