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COURSE INFORMATION
Course CodeCourse TitleL+P HourSemesterECTS
MCTE 355IMAGE PROCESSING3 + 05th Semester4

COURSE DESCRIPTION
Course Level Bachelor's Degree
Course Type Elective
Course Objective To teach low and middle level image processing basics including image detection, improvement, repair and compression, and to provide appropriate software assisted digital image processing skills to students in this frame.
Course Content Basic concepts such as image detection, sampling and quantization, basic mathematical operations used in image processing, image transformation, optimization, compression, repair and recoil, wavelets and multi-resolution image processing, color image processing.
Prerequisites No the prerequisite of lesson.
Corequisite No the corequisite of lesson.
Mode of Delivery Face to Face

COURSE LEARNING OUTCOMES
1Know basic concepts about image processing.
2Know the basics of image detection and trnasformation.
3Know image improvement and repair methods.
4Makes image processing application in computer environment.

COURSE'S CONTRIBUTION TO PROGRAM
PO 01PO 02PO 03PO 04PO 05PO 06PO 07PO 08PO 09PO 10PO 11PO 12
LO 001444331341451
LO 002444331341451
LO 003444331341451
LO 004444331341451
Sub Total161616121241216416204
Contribution444331341451

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION
ActivitiesQuantityDuration (Hour)Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)14342
Mid-terms13131
Final examination13131
Total Work Load

ECTS Credit of the Course






104

4
COURSE DETAILS
 Select Year   


 Course TermNoInstructors
Details 2023-2024 Fall2ERDEM DİLMEN


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Course Details
Course Code Course Title L+P Hour Course Code Language Of Instruction Course Semester
MCTE 355 IMAGE PROCESSING 3 + 0 2 Turkish 2023-2024 Fall
Course Coordinator  E-Mail  Phone Number  Course Location Attendance
Asts. Prof. Dr. ERDEM DİLMEN edilmen@pau.edu.tr TEK A0104 %80
Goals To teach low and middle level image processing basics including image detection, improvement, repair and compression, and to provide appropriate software assisted digital image processing skills to students in this frame.
Content Basic concepts such as image detection, sampling and quantization, basic mathematical operations used in image processing, image transformation, optimization, compression, repair and recoil, wavelets and multi-resolution image processing, color image processing.
Topics
WeeksTopics
1 -
2 -
3 -
4 -
5 -
6 -
7 -
8 -
9 -
10 -
11 -
12 -
13 -
14 -
Materials
Materials are not specified.
Resources
Course Assessment
Assesment MethodsPercentage (%)Assesment Methods Title
Final Exam50Final Exam
Midterm Exam50Midterm Exam
L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes