| Semester | Course Unit Code | Course Unit Title | T+P+L | Credit | Number of ECTS Credits |
| 7 | EEE 445 | INTRODUCTION TO COMPUTER VISION | 4+0+0 | 4 | 5 |
|
Language of Instruction
|
English
|
|
Level of Course Unit
|
Bachelor's Degree
|
|
Department / Program
|
ELECTRICAL-ELECTRONICS E.
|
|
Mode of Delivery
|
Face to Face
|
|
Type of Course Unit
|
Elective
|
|
Objectives of the Course
|
Introduction to computer vision. To form an image matrix and neighbourhood operations. Hardware and software architecture of a computer vision system. Gray level, binary and color image processing methods. Quantizing, noise reduction. Edge detection. Feature extraction. Fundamentals of 3-D image processing. Sample applications.
|
|
Course Content
|
Illumination and sensors. Image acquisition and representation. Fundamentals of digital image processing. Segmentation. Image Analysis. Robot vision. Image understanding
|
|
Course Methods and Techniques
|
1 - Lecture, 2 - Question - Answer, 3 - Discussion, 4 - Drill and Practice, 14 - Self Study
|
|
Prerequisites and co-requisities
|
( EEE 301 )
|
|
Course Coordinator
|
None
|
|
Name of Lecturers
|
Prof.Dr. SEMA KAYHAN
|
|
Assistants
|
None
|
|
Work Placement(s)
|
No
|
Recommended or Required Reading
|
Resources
|
|
|
|
Computer Vision - A modern Aproach by David A. Forsyth & Jean Ponce, Prentice Hall
|
|
|
|
|
|
|
|
|
|
Course Category
|
Mathematics and Basic Sciences
|
%20
|
|
|
Engineering
|
%60
|
|
|
Engineering Design
|
%20
|
|
|
Planned Learning Activities and Teaching Methods
Activities are given in detail in the section of "Assessment Methods and Criteria" and "Workload Calculation"
Assessment Methods and Criteria
|
In-Term Studies
|
|
Mid-terms
|
2
|
%
25
|
|
Practice
|
1
|
%
10
|
|
Final examination
|
1
|
%
40
|
|
Total
|
4
|
%
75
|
ECTS Allocated Based on Student Workload
|
Activities
|
Total Work Load
|
|
Course Duration
|
14
|
4
|
56
|
|
Hours for off-the-c.r.stud
|
14
|
4
|
56
|
|
Mid-terms
|
2
|
10
|
20
|
|
Practice
|
1
|
10
|
10
|
|
Final examination
|
1
|
10
|
10
|
|
Total Work Load
| |
|
Number of ECTS Credits 5
152
|
Course Learning Outcomes: Upon the successful completion of this course, students will be able to:
Weekly Detailed Course Contents
Contribution of Learning Outcomes to Programme Outcomes
bbb
https://obs.gantep.edu.tr/oibs/bologna/progCourseDetails.aspx?curCourse=337792&lang=en