| Semester | Course Unit Code | Course Unit Title | T+P+L | Credit | Number of ECTS Credits |
| 1 | BENG531 | BIOSIGNAL AND IMAGE ANALYSIS | 3+0+0 | 3 | 7,5 |
|
Language of Instruction
|
English
|
|
Level of Course Unit
|
Master's Degree
|
|
Department / Program
|
BIOENGINEERING
|
|
Type of Program
|
Formal Education
|
|
Type of Course Unit
|
Elective
|
|
Course Delivery Method
|
Face To Face
|
|
Objectives of the Course
|
Identifying foundations of Digital Image Processing (DIP).
Describing common DIP problems.
Introducing recent DIP based Computer Vision advancements. Showing students implementation examples and tools.
|
|
Course Content
|
This course introduces the student to several different technologies that are used to view the human body in order to diagnose, monitor, or treat medical conditions. The course will provide a foundational understanding of physical phenomena, mathematical modeling, and algorithms used in medical imaging.
|
|
Course Methods and Techniques
|
|
|
Prerequisites and co-requisities
|
None
|
|
Course Coordinator
|
None
|
|
Name of Lecturers
|
None
|
|
Assistants
|
None
|
|
Work Placement(s)
|
No
|
Recommended or Required Reading
|
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
ECTS Allocated Based on Student Workload
Course Learning Outcomes: Upon the successful completion of this course, students will be able to:
| No | Learning Outcomes |
|
1
| Express the foundations of signal and image analysis. |
|
2
| Classify common signal and image analysis problems. |
|
3
| Discuss signal and image analysis techniques. |
|
4
| Implement signal and image analysis methods. |
Weekly Detailed Course Contents
Contribution of Learning Outcomes to Programme Outcomes
Contribution: 1: Very Slight 2:Slight 3:Moderate 4:Significant 5:Very Significant
https://sis.agu.edu.tr/oibs/bologna/progCourseDetails.aspx?curCourse=77939&lang=en