Eskisehir Technical University Info Package Eskisehir Technical University Info Package
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About the Program Educational Objectives Key Learning Outcomes Course Structure Diagram with Credits Field Qualifications Matrix of Course& Program Qualifications Matrix of Program Outcomes&Field Qualifications
  • Faculty of Aeronautics and Astronautics
  • Department of Air Traffic Control
  • Course Structure Diagram with Credits
  • Data Analytics and Machine Learning in Air Traffic Mana.
  • Description
  • Description
  • Learning Outcomes
  • Course's Contribution to Prog.
  • Learning Outcomes & Program Qualifications
  • ECTS Credit Load

Course Introduction Information

Code - Course Title HTK3501 - Data Analytics and Machine Learning in Air Traffic Mana.
Course Type Area Elective Courses
Language of Instruction Türkçe
Laboratory + Practice 3+0
ECTS 5.0
Course Instructor(s) DOKTOR ÖĞRETİM ÜYESİ EMRE AYDOĞAN
Mode of Delivery Face to face  with execises in the lab.
Prerequisites There is no prerequisite or co-requisite for this course.
Courses Recomended BİM301 Algorithm and Programming
Required or Recommended Resources Andreas C. Müller & Sarah Guido, Introduction to Machine Learning with PythonOliver Theobald, Machine Learning For Absolute Beginners
Recommended Reading List
Assessment methods and criteria 1 Midterm, 1 Final exam
Work Placement N/A
Sustainability Development Goals

Content

Weeks Topics
Week - 1 Introduction to data analytics in air traffic management
Week - 2 Aviation data types
Week - 3 Data preprocessing and analytics fundamentals
Week - 4 Introduction to machine learning and learning types
Week - 5 Regression and flight delay prediction
Week - 6 Classification and conflict detection
Week - 7 Clustering and traffic flow analysis
Week - 8 Model evaluation and validation
Week - 9 Overfitting and model improvement
Week - 10 Data processing and data representation
Week - 11 Applications with Python and scikit-learn
Week - 12 Route optimization and prediction models
Week - 13 Decision support systems in ATM
Week - 14 EN: General review and project presentations

Learning Activities and Teaching Methods

  • Teaching Methods
  • Lecture
  • Discussion
  • Question & Answer
  • Team/Group Work
  • Problem Solving
  • Role Playing/Dramatization
  • Competences
  • Productive
  • True to core values
  • Rational
  • Questoning
  • Entrepreneur
  • Creative
  • Follow ethical and moral rules
  • Civic awareness
  • Effective use of Turkish
  • Use time effectively
  • Abstract analysis and synthesis
  • Problem solving
  • Organization and planning
  • Decision making

Assessment Methods

Assessment Method and Passing Requirements
Quamtity Percentage (%)
1.Midterm Exam 1 30
Homework 1 20
Final Exam 1 50
Toplam (%) 100
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