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Week - 1 |
Fundamentals of QAR systems, their history, and importance |
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Week - 2 |
Structure of flight data, parameter types, and management of QAR datasets. |
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Week - 3 |
Techniques for detecting and handling missing data and outliers |
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Week - 4 |
Time series concepts, sampling, and synchronization processes |
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Week - 5 |
Dimensionality reduction, segmentation, and flight phase (LDG/TO/CRZ etc.) identification |
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Week - 6 |
Feature engineering: Feature selection and determining feature importance |
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Week - 7 |
Mid-term |
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Week - 8 |
Anomaly detection: Traditional statistical methods vs. data-driven approaches |
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Week - 9 |
Target parameter prediction: Estimating critical metrics like engine status, EGT, and fuel |
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Week - 10 |
Operational applications: Flight monitoring during takeoff, landing, and approach phases. |
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Week - 11 |
Detection of turbulence and windshear; time-series-based analyses |
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Week - 12 |
Trajectory analysis and optimization; TBO and performance-based flight scenarios |
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Week - 13 |
System applications: Engine health, EGT, fuel efficiency, and emissions analysis. |
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Week - 14 |
Overall review |
Eskisehir Technical University Info Package