3- Intended Learning Outcome :-

a- Knowledge and Understanding :-

Students who complete the course will have the ability to :-

a1-  Identify the mathematical and statistical techniques commonly used in pattern recognition.

a2-  Identify a variety of pattern recognition algorithms, along with pointers on which algorithms work best under what conditions.

a3-  Know a detailed overview of some advanced topics in pattern recognition and a project opportunity to conduct independent, cutting-edge and publishable research.

a4-  Explain basic theories and techniques of pattern recognition.

a5-  Identify various approaches of pattern recognition.

a6-  Design the components of the systems for pattern recognition.

a7-  Describe and discuss the advance topics in pattern recognition.

b-Intellectual Skills :-

Students who complete the course will have the ability to :-

b1- Compare and contrast various pattern recognition techniques.

b2- Gain a working knowledge of some of the most recent developments in pattern recognition, such as incremental learning and learning in non-stationary environments.

b3- Identify and analyze common threats and vulnerabilities of pattern recognition software.

b4-  Evaluate various approaches of pattern recognition.

c-Professional and Practical Skills :-

Students who complete the course will have the ability to :

c1- Design simple systems for pattern recognition which can handle certain problem.

c2- Apply some new techniques to pattern recognition.

c3- Act autonomously in planning and implementing tasks.

d-General Skills :-

Students who complete the course will have the ability to :

d1- Teaching the others and evaluating their performance.

d2- Doing self-estimation and continuous learning.

d3- Using different sources for getting knowledge information.