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Course List

History & Theories of Architecture

Course outcomes:

a. Knowledge and Understanding:

1- Have some understanding of the basic concepts and techniques of AI and their appropriate use in typical problem solving, planning, expert systems, and other intelligent system applications.
2- Have some understanding of the architecture of expert systems shells to a variety of engineering problems.
3- Have some understanding of issues in and their appropriate use in typical inferential reasoning, planning, and expert systems applications.
4- Have some understanding and description the concepts of knowledge and knowledge management
5- Understand the limitations and purposes of expert systems
6- Describe the processes by which people think
7- Describe the difference and transformation of tacit to explicit knowledge
8- Consider process knowledge issues
9- Identify and apply expert systems technologies, tools and methodologies

b. Intellectual Skills:

1- Appreciate the subtleties related to different approaches to AI
2- Appreciate the subtleties related to different AI techniques
3- Decide the suitability of AI techniques for a problem/ domain
4- Analyze and design a KBS for a problem
5- How to abstract from particular solutions to general ones

c. Professional and Practical Skills:

1- Apply and implement simple algorithms for problem solving and knowledge representation techniques in developing simple intelligent systems applications
2- Select an appropriate expert system development tool for a given task
3- Write programs in PROLOG/Clips/Exsys

d. General and Transferable Skills:

1- Deploy communication skills
2- Deploy research skills
3- Work effectively within a group to analyze, design and implement ES's
4- To work to tight deadlines
5- Effectively present the final work in a demo
6- Justify students design decisions in a written document

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