3- Intended Learning Outcome :-

a- Knowledge and Understanding :-

a1- Understand theories, fundamentals, and current state-of-the-art in machine vision technology domain and their related domains.

a2- Understand the fundamental issues and techniques of computer vision.

a3- Understand the motion analysis and detection techniques.

a4- Understand  the pattern recognition and shape representation.

a5- Know how the stages of projects are managed within differing methodologies, and the implications for adherence to quality assurance standards.

a6- Know the image formation, edge detection and image segmentation.

a7- know the management of working IT environments

b-Intellectual Skills :-

b1- Interpret findings from data/information.

b2- Decompose visual tasks into sequences of image analysis operations and PR.

b3- Plan to develop the performance in information technology.

b4- Analyze and design a range of algorithms for image processing.

b5- Analyze the robustness, brittleness, generality, and performance of different approaches in PR.

c-Professional Skills :-

c1-  Evaluate professional reports related to information technology.

c2-  Develop and evaluate solutions to problems in computer vision.

c3-  Prepare technical reports, and a dissertation, to a professional standard; use IT skills and display mature computer literacy.

c4-  Design computer vision systems using image processing and PR.

c5- Apply practically these systems in real-life applications.

d-General Skills :-

d1- Set goals and identify resources for the purpose of learning on a permanently on-going basis.

d2- Carry out scientific research.