COMPUTER SC. (HND)

COM 423- Introduction to artificial Intelligence and expert system.

General Objectives:

On Completion of this course the student should be able to:

1.0 Understand the concept of artificial intelligence.

2.0 Understanding problem solving techniques using formal and informal language.

3.0 Know how to relate problem solving to Artificial intelligence.

4.0 Know how to relate problem-solving to Artificial intelligence.

5.0 Revision

1 Ability to understand :

• Basic concepts of A.I.

• A.I. techniques

• Application areas of A.I.

To:

--Explain the concept of Artificial intelligence

--Discuss the A. I techniques

--Areas of A. I .applications

--List Prospects and progress of A.I.

2-5 Ability to understand:

• Problem solving techniques using formal and informal languages

To:

--Explain the various approaches to problems formulation with specific examples.

--Show the process of reduction of a broad statement of a problem to sub-problems.

--Define problems successively using the mixture of informal and formal statements.

--Apply the concept of judicious postponement of decisions in problem refinements.

--Explain the substitution process of informal statements with formal ones in the problem requirement and realize the consequent obstruction of the formal programming by this process.

6-9 Ability to understand:

• The concept of relating problem-solving to Artificial intelligence.

 To:

--Explain self-adjusting systems and learning machines as they relates to artificial intelligence.

Explain the fundamental concepts of simulations, perception and recognition.

--Describe the basic components and functioning of human brain and the central nervous systems.

--Describe problem solving in terms of recognition of pattern, objects, and images.

--Express game playing and puzzles as forms of pattern recognition.

--Introduce the concept of automatic closed –loop feed back systems.

--Apply man-machine interaction and the simulation of the former by machine.

--Explain cybernetics, artificial neurons, and robotics.

--Explain self-adjusting systems and learning machines

10-13 Ability to understand

• The concept of expert system

• The basic principles of and Role of knowledge acquisition in expert systems.

• Programming languages for expert systems.

• Current state of expert system development

• The concepts of genetic Algorithms

To:

--Explain the concept, history and application of expert systems

--Discuss the principles and the role of Knowledge acquisition in expert systems.

--Explain programming languages for expert system e.g. prolog and LISP and demonstrate with a practical problem.

-- Discuss applications at expert systems and probably future development.

--Discuss neural networks, language processing and Genetic Algorithms.]

--Explain the use of a PC based expert systems shell.

--Explain the principles of rule based systems, induction, formed and backward chaining

--Explain the various forms of knowledge acquisition

--Explain artificial neural networks, natural language processing and case base resources.

14-15 Revision

To: Review and revise the topics with the students and test the students.