3- Intended Learning Outcome :-

a- Knowledge and Understanding :-

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

a2- Understand Introduction to Computational Intelligence.

a3- Understand Rule-Based Expert Systems and Fuzzy Expert Systems.

a4- Know how the stages of projects are managed within differing methodologies, and the implications for adherence to quality assurance standards.

a5- Understand Artificial Neural Networks and Evolutionary Computation.

a6- Understand Hybrid Intelligent Systems.

a7- Know the nature of the development change within the industry, and the impact that this has on the management and implementation of IT Systems.

b-Intellectual Skills :-

b1- Carry out new research studies or write scientific papers in information technology.

b2- Gain a working knowledge of knowledge-based systems, neural networks, fuzzy systems, and evolutionary computation.

b3- Deliver a major piece of research (via dissertation) in the domain.

b4- Apply intelligent systems technologies in a variety of engineering applications.

b5- Design hybrid IS System.

b6- Present ideas and findings effectively.

c-Professional Skills :-

c1- Evaluate professional reports related to information technology.

c2- Prepare technical reports, and a dissertation, to a professional standard; use IT skills and display mature computer literacy.

c3- Implement typical computational intelligence algorithms in MATLAB.

d-General Skills :-

d1- Use continuous and Self-learning.

d2- Present students with applications of computational intelligence.

d3- Be capable of applying both traditional and new concepts and skills.