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
  • Institute of Graduate Programmes
  • Department of Computer Engineering
  • Artifical Intelligence (MS) (with Thesis) (English)
  • Course Structure Diagram with Credits
  • Computer Vision
  • Description
  • Description
  • Learning Outcomes
  • Course's Contribution to Prog.
  • Learning Outcomes & Program Qualifications
  • ECTS Credit Load

Course Introduction Information

Code - Course Title BİL541 - Computer Vision
Course Type Elective Courses
Language of Instruction İngilizce
Laboratory + Practice 3+0
ECTS 7.5
Course Instructor(s) DOKTOR ÖĞRETİM ÜYESİ MEHMET KILIÇARSLAN
Mode of Delivery This course is normally delivered face to face. However, in special circumstances such as pandemics and natural disasters, it is carried out in synchronous and/or asynchronous distance education format.
Prerequisites None
Courses Recomended None
Required or Recommended Resources None
Recommended Reading List None
Assessment methods and criteria 2 Midterm exams, 1 Final
Work Placement None
Sustainability Development Goals Quality Education , Industry, Innovation and Infrastructure

Content

Weeks Topics
Week - 1 Introduction and fundamentals
Week - 2 Image filtering
Week - 3 Edge and corner detection
Week - 4 Feature detection and descriptors
Week - 5 Image transformation
Week - 6 Image and video processing
Week - 7 Camera and perspective transformations
Week - 8 Stereo camera modeling
Week - 9 Introduction to object detection
Week - 10 Image classification
Week - 11 Convolutional neural networks
Week - 12 Deep learning and computer vision applications
Week - 13 Computer vision applicatıons - I
Week - 14 Computer vision applications - II

Learning Activities and Teaching Methods

  • Teaching Methods
  • Lecture
  • Discussion
  • Question & Answer
  • Drill - Practise
  • Competences
  • Abstract analysis and synthesis
  • Problem solving
  • To work autonomously
  • Organization and planning

Assessment Methods

Assessment Method and Passing Requirements
Quamtity Percentage (%)
1.Midterm Exam 1 30
Quiz 1 30
Final Exam 1 40
Toplam (%) 100
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