3- Intended Learning Outcome :

 a- Knowledge and Understanding :

A1) Understand and be able to implement core pattern recognition techniques.

A2) Understand why symbolic image representations are required and be able to extract image features (statistical, structural, and modeling).

A3) Basics, vocations, scientific research ethics and its different tools related to image registration and segmentation.

A4) Basics and essentials of proficiency in vocational practice in the field of Image processing and pattern recognition.

A5) Know about the origins of digital image processing and, more important, about current and future areas of application of this technology.

 b-Intellectual Skills :

B1) Analyze the information in the field of pattern recognition approaches.

B2) Discuss briefly the principal approaches used in digital image segmentation and registration, and their mathematical forms.

B3) Detect and Extract image features by different approaches (statistical, structural, and modeling) and understand image shape analysis and measurement techniques.

B4) Evaluate different algorithms for digital image segmentation and registration and measure the effectiveness.

B5) Evaluate different algorithms for pattern recognition and measure the effectiveness.

B6) Do research studies in image processing and pattern recognition.

B7) Formulate scientific papers in related field to image processing and pattern recognition.

B8) Plan to develop practicing in the field of image processing.

B9) Dialogue and discuss depending on evidence and proofs.

c-Professional Skills :

C1) Ability to understand Run-length matrix approach for feature extraction from medical images and using their mathematical forms to be implemented by Matlab.

C2) Write and evaluate vocational reports related to pattern recognition and image processing.

C3) Ability to develop and evaluate a real image processing and pattern recognition application using Matlab such as Arabic letter recognition system.

C4) Ability to implement different methods used for classification and recognition different objects.

C5) Use technological means within what serves the vocational practice.

 d-General Skills :

D1) Working in a team and leading team works.

D2) Managing scientific meetings and being able to manage time.