COMPUTER VISION
- Course
- ISYE537 - COMPUTER VISION
- Department
- Information Systems Engineering - English - Master
- Course Type
- Course
- Status
- Required
- Language
- English
- Credit
- 3
- ECTS
- 0
- T+P+L
- 3 + 0 + 0
- Course Coordinator(s)
- -
- Prerequisite
- -
- Keywords
- -
Course Description
Image formation. Early processing: low-level vision and feature extraction. Boundary detection. Region growing. Texture. Motion. Two-dimensional and three-dimensional representation. High-level vision: learning and matching.
COMPUTER VISION
Evaluation Tools (Active Term)
| Item | Type | Weight (%) |
|---|---|---|
| Fınal | Final | 60 |
| Project | Midterm | 40 |
| Total | 100 | |
Course outcomes
No course outcomes have been defined yet.
Course Syllabus
No weekly content has been defined yet.
Reference Books & Course Materials
No reference books have been listed.
Learning Outcomes
No learning outcomes have been defined.
Program Outcomes
- P01 PO1 Become competent in searching and comprehending the relevant academic articles, interpreting the information learnt or obtained via various channels and absorbing exceptional knowledge in their field.
- P02 PO2 Devoted themselves to be a qualified researcher and knowledge worker in their field all throughout their life and career.
- P03 PO3 Demonstrated that they developed their individual capabilities through written projects, assignments and presentations that they will independently implement both in academia and work contexts.
- P04 PO4 Gained key practical skills and knowledge which need to be implemented in their own research and business work environment.
- P05 PO5 Been able to implement critical and analytical thinking and analyses into their studies, research and work.
- P06 PO6 Become proficient in adopting the gained knowledge into practice and research in a critical, and analytical way.
- P07 PO7 Become experts in using information technology tools for their studies, research and workplace in an ethical and safely environment by sharing and transferring their knowledge.
- P08 PO8 Succeeded in working, researching and forming partnerships with their colleagues/team members in a global environment.
- P09 PO9 Proved themselves capable of disseminating and sharing knowledge, sustainingly communicating with others, in any global workplace or research setting.
- P10 PO10 Become capable of interpreting and transferring their qualified knowledge into practice and research.
- P11 PO11 Dedicated themselves to applying advanced academic studies and enrolled themselves in work or non-work projects related to environmental approaches and ethical issues.
Po-Lo Matrix
The PO-LO matrix has not been populated yet.