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
  • Vocational School Of Information Technologies
  • Department of Electronics and Automation
  • Robotics and Artificial Intelligence Program
  • Course Structure Diagram with Credits
  • Introduction to Autonomous Systems
  • Description
  • Description
  • Learning Outcomes
  • Course's Contribution to Prog.
  • Learning Outcomes & Program Qualifications

Course Introduction Information

Code - Course Title RYZ102 - Introduction to Autonomous Systems
Course Type Required Courses
Language of Instruction Türkçe
Laboratory + Practice 2+1
ECTS 3.0
Course Instructor(s) DOKTOR ÖĞRETİM ÜYESİ BİRSEN AÇIKEL
Mode of Delivery Distance Learning
Prerequisites
Courses Recomended
Recommended Reading List
Assessment methods and criteria
Work Placement
Sustainability Development Goals Quality Education , Industry, Innovation and Infrastructure , Sustainable Cities and Communities

Content

Weeks Topics
Week - 1 Autonomous system basic concepts
Week - 2 Autonomous system architectures
Week - 3 Autonomous vehicles and driving techniques
Week - 4 Sensor technologies in autonomous systems
Week - 5 Security and Risk Management of Autonomous Systems
Week - 6 Simulation Tools and Usage
Week - 7 Learning, Decision making and control algorithms
Week - 8 Interaction with People and Ethics
Week - 9 Robot systems and modeling
Week - 10 Navigation methods
Week - 11 Mapping systems and methods
Week - 12 Path planning algorithms
Week - 13 Positioning and localization
Week - 14 Current Autonomous System Applications

Learning Activities and Teaching Methods

  • Teaching Methods
  • Lecture
  • Discussion
  • Observation
  • Drill - Practise
  • Problem Solving
  • Competences
  • Productive
  • Rational
  • Questoning
  • Use time effectively
  • Eleştirel düşünebilme
  • Abstract analysis and synthesis
  • Problem solving
  • To work autonomously

Assessment Methods

Assessment Method and Passing Requirements
Quamtity Percentage (%)
1.Midterm Exam 1 40
Final Exam 1 60
Toplam (%) 100
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