Akademik Dersler - Tanıtım


Code - Course Title	BİM496 - Computer Vision
Course Type	Area Elective Courses
Language of Instruction	İngilizce
Laboratory + Practice	3+0
ECTS	4.5
Course Instructor(s)	DOKTOR ÖĞRETİM ÜYESİ MEHMET KILIÇARSLAN
Mode of Delivery	The mode of delivery of this course is Face to face.
Prerequisites	There is no prerequisite or co-requisite for this course.
Courses Recomended	There is no other course recommended for this course.
Required or Recommended Resources
Recommended Reading List
Assessment methods and criteria	There are 2 midterms and 1 final exam.
Work Placement
Sustainability Development Goals	Quality Education , Industry, Innovation and Infrastructure

Weeks	Topics
Week - 1	Introduction and Overview
Week - 2	Image filtering
Week - 3	Feature detection and descriptors
Week - 4	Image transformations
Week - 5	Cameras
Week - 6	Panoramas
Week - 7	Single view modeling and stereo
Week - 8	Two-View Geometry
Week - 9	Structure from motion
Week - 10	Multi-view stereo
Week - 11	Light and perception
Week - 12	Image Classification
Week - 13	Convolutional neural networks

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