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Course Unit Title Course Unit Code Type of Course Unit Level of Course Unit Year of Study Semester ECTS Credits
Advanced Image Processing FBE101 Elective Master's degree 1 Fall 8

Name of Lecturer(s)

Associate Prof. Dr. Aysun TAŞYAPI ÇELEBİ

Learning Outcomes of the Course Unit

1) Carry out image analysis
2) Make measurements in images
3) Carry out image calibration
4) Make object detection in images
5) Explain image compression approaches
6) Conduct image modelling
7) Explain noise effects in images
8) Expound imaging sensors

Program Competencies-Learning Outcomes Relation

  Program Competencies
1 2 3 4 5 6 7
Learning Outcomes
1 High High High No relation No relation No relation No relation
2 High High High No relation No relation No relation No relation
3 High Middle Middle No relation No relation No relation No relation
4 High No relation No relation No relation No relation No relation No relation
5 No relation No relation No relation No relation No relation No relation No relation
6 High High High No relation No relation No relation No relation
7 High High High No relation No relation No relation No relation
8 High High High No relation No relation No relation No relation

Mode of Delivery

Face to Face

Prerequisites and Co-Requisites

None

Recommended Optional Programme Components

Image Processing.

Course Contents

This course equips candidates with in-depth knowledge on short review of basic image processing methods, measurements in mono and color images, image analysis, object detection in images, image calibration, image modelling, noise in images, imageing sensors and image compression

Recommended or Required Reading

Planned Learning Activities and Teaching Methods



Assessment Methods and Criteria

Contribution of Semester Studies to Course Grade

40%

 

Number

Percentage

Semester Studies

Midterm Examination

1

30%

Project

1

70%

 

Contribution of Final Examination to Course Grade

60%

Total

100%

Language of Instruction

Turkish

Work Placement(s)

Not Required