3- Intended Learning Outcome :-

a- Knowledge and Understanding :-

a1. Understand some probabilistic and statistical analysis techniques and randomized algorithms.

a2. Apply techniques and algorithms in problem solving.

a3. Apply AI techniques to the problem of acquisition and representation of expert knowledge for problem using various knowledge representation methods and different system structures from the industrial engineering point of view.

b-Intellectual Skills :-

b1. Identify criterias for better decision making.

c-Professional Skills :-

c1. Perform independent information acquisition and management, using the scientific literature and Web sources.

c2. Apply the principles of human-computer interaction to the evaluation of a wide range of materials including user interfaces, web pages, and multimedia systems.

c3. Apply the principles of human-computer interaction to the construction of a wide range of materials including user interfaces, web pages, and multimedia systems.

c4. Using tools to automate IS development phases.

d-General Skills :-

d1. Search for information.

d2. Adopt life-long self-learning.

d3. Acquire entrepreneurial skills.

d4. Be capable of applying both traditional and new concepts and skills.

d5. Solve practical problems in course projects.