BIL605 Morpholigical Image ProcessingIstanbul Okan UniversityDegree Programs PhD in Computer Engineering with a master's degreeGeneral Information For StudentsDiploma SupplementErasmus Policy StatementNational Qualifications
PhD in Computer Engineering with a master's degree
PhD TR-NQF-HE: Level 8 QF-EHEA: Third Cycle EQF-LLL: Level 8

General course introduction information

Course Code: BIL605
Course Name: Morpholigical Image Processing
Course Semester: Fall
Course Credits:
Theoretical Practical Credit ECTS
3 0 3 10
Language of instruction: TR
Course Requisites:
Does the Course Require Work Experience?: No
Type of course: Department Elective
Course Level:
PhD TR-NQF-HE:8. Master`s Degree QF-EHEA:Third Cycle EQF-LLL:8. Master`s Degree
Mode of Delivery: Face to face
Course Coordinator : Prof. Dr. BEKİR TEVFİK AKGÜN
Course Lecturer(s): Dr. BİLİNMİYOR BEKLER
Course Assistants:

Course Objective and Content

Course Objectives: This course is given in Turkish.
Course Content: This course is given in Turkish.

Learning Outcomes

The students who have succeeded in this course;
Learning Outcomes
1 - Knowledge
Theoretical - Conceptual
1) -
2 - Skills
Cognitive - Practical
1) -
3 - Competences
Communication and Social Competence
1) -
Learning Competence
Field Specific Competence
Competence to Work Independently and Take Responsibility

Lesson Plan

Week Subject Related Preparation
1)
1) This course is given in Turkish. This course is given in Turkish.

Sources

Course Notes / Textbooks: Tez konusu ile ilgili basılı yada internet ortamında tüm yayınlar.
References: This course is given in Turkish.

Course-Program Learning Outcome Relationship

Learning Outcomes

1

2

3

Program Outcomes
1) Information on project management and practices in business life such as risk management and change management; awareness about entrepreneurship, innovation and sustainable development.
2) Sufficient knowledge in mathematics, science and engineering related to their branches; the ability to apply theoretical and practical knowledge in these areas to model and solve engineering problems.
3) The ability to identify, define, formulate and solve complex engineering problems; selecting and applying appropriate analysis and modeling methods for this purpose.
4) The ability to design a complex system, process, device or product under realistic constraints and conditions to meet specific requirements; the ability to apply modern design methods for this purpose. (Realistic constraints and conditions include such issues as economy, environmental issues, sustainability, manufacturability, ethics, health, safety, social and political issues, according to the nature of design.)
5) Ability to develop, select and use modern techniques and tools necessary for engineering applications; ability to use information technologies effectively.
6) Ability to design experiments, conduct experiments, collect data, analyze and interpret results for the examination of engineering problems.
7) The ability to communicate effectively in Turkish both verbally and in writing; at least one foreign language knowledge.
8) Knowledge of the necessity of lifelong learning; access to knowledge, ability to follow developments in science and technology, and constant self-renewal.
9) Professional and ethical responsibility.
10) Information on the effects of engineering applications on health, environment and safety in the universal and social dimensions and the problems of the times; awareness of the legal consequences of engineering solutions.
11) The ability to work effectively in disciplinary and multidisciplinary teams; individual work skill.

Course - Learning Outcome Relationship

No Effect 1 Lowest 2 Low 3 Average 4 High 5 Highest
           
Program Outcomes Level of Contribution
1) Information on project management and practices in business life such as risk management and change management; awareness about entrepreneurship, innovation and sustainable development.
2) Sufficient knowledge in mathematics, science and engineering related to their branches; the ability to apply theoretical and practical knowledge in these areas to model and solve engineering problems.
3) The ability to identify, define, formulate and solve complex engineering problems; selecting and applying appropriate analysis and modeling methods for this purpose.
4) The ability to design a complex system, process, device or product under realistic constraints and conditions to meet specific requirements; the ability to apply modern design methods for this purpose. (Realistic constraints and conditions include such issues as economy, environmental issues, sustainability, manufacturability, ethics, health, safety, social and political issues, according to the nature of design.)
5) Ability to develop, select and use modern techniques and tools necessary for engineering applications; ability to use information technologies effectively.
6) Ability to design experiments, conduct experiments, collect data, analyze and interpret results for the examination of engineering problems.
7) The ability to communicate effectively in Turkish both verbally and in writing; at least one foreign language knowledge.
8) Knowledge of the necessity of lifelong learning; access to knowledge, ability to follow developments in science and technology, and constant self-renewal.
9) Professional and ethical responsibility.
10) Information on the effects of engineering applications on health, environment and safety in the universal and social dimensions and the problems of the times; awareness of the legal consequences of engineering solutions.
11) The ability to work effectively in disciplinary and multidisciplinary teams; individual work skill.

Learning Activity and Teaching Methods

Field Study
Individual study and homework
Group study and homework
Project preparation
Thesis Preparation

Assessment & Grading Methods and Criteria

Application
Observation
Individual Project
Group project
Presentation
Tez Sunma
Uzman / Jüri Değerlendirmesi

Assessment & Grading

Semester Requirements Number of Activities Level of Contribution
Application 1 % 50
Preliminary Jury 1 % 30
Paper Submission 1 % 20
total % 100
PERCENTAGE OF SEMESTER WORK % 100
PERCENTAGE OF FINAL WORK %
total % 100

Workload and ECTS Credit Grading

Activities Number of Activities Duration (Hours) Workload
Application 1 60 60
Presentations / Seminar 1 60 60
Total Workload 120