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
  • Graduate School of Sciences
  • Department of Flight Training
  • Master of Science (MS) Degree
  • Course Structure Diagram with Credits
  • Trending Topics in Unmanned Aerial Vehicle Technology
  • Description
  • Description
  • Learning Outcomes
  • Course's Contribution to Prog.
  • Learning Outcomes & Program Qualifications

Course Introduction Information

Code - Course Title PLT5504 - Trending Topics in Unmanned Aerial Vehicle Technology
Course Type Elective Courses
Language of Instruction Türkçe
Laboratory + Practice 3+0
ECTS 7.5
Course Instructor(s) ÖĞRETİM GÖREVLİSİ EMRE ÖZBEK
Mode of Delivery Face to face
Prerequisites There are no prerequisites.
Courses Recomended
Required or Recommended Resources
Recommended Reading List
Assessment methods and criteria Theoretical Exam, Homework
Work Placement
Sustainability Development Goals

Content

Weeks Topics
Week - 1 Course Introduction
Week - 2 History of unmanned aerial vehicles (UAVs)
Week - 3 UAV configurations
Week - 4 Classification of UAVs
Week - 5 Hydrogen Fuel Cell UAVs
Week - 6 Bio-Inspired UAVs
Week - 7 Noise Reduction Research in UAVs
Week - 8 Integration of UAVs into Airspace, Cyber ​​Security in UAVs
Week - 9 Solar Powered UAVs
Week - 10 Additive Manufacturing Methods and UAV Structures
Week - 11 Laser Charging Method in UAVs
Week - 12 Application of Blockchain Technologies in the UAV Field
Week - 13 Morphing UAVs
Week - 14 UAV Swarm Technologies

Learning Activities and Teaching Methods

  • Teaching Methods
  • Lecture
  • Discussion
  • Question & Answer
  • Team/Group Work
  • Case Study
  • Brain Storming
  • Report Preparation and/or Presentation
  • Competences
  • Productive
  • Questoning
  • Entrepreneur
  • Creative
  • Environmental awareness
  • Eleştirel düşünebilme
  • Abstract analysis and synthesis
  • Information Management

Assessment Methods

Assessment Method and Passing Requirements
Quamtity Percentage (%)
Toplam (%) 0
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