GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION

Expert Systems/5221331

Course Title:	Expert Systems
Credits	3	ECTS	8
Semester	1	Compulsory/Elective	Elective

COURSE INFO

-- LANGUAGE OF INSTRUCTION

Expert Systems

-- NAME OF LECTURER(S)

Assist. Prof. Dr. İsmail SAHIN

-- WEB SITE(S) OF LECTURER(S)

websitem.gazi.edu.tr/site/isahin

-- EMAIL(S) OF LECTURER(S)

isahin@gazi.edu.tr

-- LEARNING OUTCOMES OF THE COURSE UNIT

Students are accelerates processes of programming with intelligent software developed using expert systems.
Developed artificial intelligence applications for more accurate and faster design.
Learn about artificial intelligence concept
Students develop prorotype prorams using expert systems

-- MODE OF DELIVERY

the mode of delivery of this course is face to face

-- PREREQUISITES AND CO-REQUISITES

There is no prerequisite or co-requisite for this course.

-- RECOMMENDED OPTIONAL PROGRAMME COMPONENTS

There is no recommended optional programme component for this course.

--COURSE CONTENT
1. Week	Artificial Intelligence concept.
2. Week	Component of AI AI programming language AI applications
3. Week	Place of expert system in AI Expert system concept
4. Week	Features of expert systems; - Advantages - Disadvantages
5. Week	Generaled and detailed structure of expert systems Knowledge bas in expert system
6. Week	Knowledge base; - Rules - Facts
7. Week	Stages of establishment of the knowledge base - Description of the discipline area - Acquisition of knowledge
8. Week	Knowledge engineering: Expert system development process
9. Week	Knowledge representation, logic and reasoning.
10. Week	Knowledge representation techniques - Semantic networks - Frame stuructures
11. Week	The if - then structure - Advantages of rule structures - Disadvantages of rule structures
12. Week	Inference mechanisms; - Inference with forward chaining methods
13. Week	Inference mechanisms; - Inference with backward chaining methods
14. Week	Project presantation
15. Week	Project presantation
16. Week	Project presantation

-- RECOMMENDED OR REQUIRED READING

1. Joseph C. Giarratano, Gary Riley, Expert Systems, PWS Publishing, Boston, MA, USA. 2. Peter Jackson, Introduction to Expert Systems, MIT Press. 3. John Durkin, Expert Systems: Design and development, Macmillan Publishing Company. 4. Nevruz Allahverdi, Expert Systemsi: An Artificila Intelligence Application, Nobel Yayın-Dağıtım, İstanbul 5. Paul Harmon, Rex Maus, William Morrissey, Expert Systems: Tools and Applications, John Wiley & Sons, Inc. New York, NY, USA

-- PLANNED LEARNING ACTIVITIES AND TEACHING METHODS

Lecture, drill-practice

-- WORK PLACEMENT(S)

Not Applicable

-- ASSESSMENT METHODS AND CRITERIA

	Quantity	Percentage
Mid-terms	0	0
Assignment	0	0
Exercises	0	0
Projects	2	50
Practice	0	0
Quiz	0	0
Contribution of In-term Studies to Overall Grade		40
Contribution of Final Examination to Overall Grade		60

-- WORKLOAD

Efficiency	Total Week Count	Weekly Duration (in hour)	Total Workload in Semester
Theoretical Study Hours of Course Per Week	14	3	42
Practising Hours of Course Per Week			0
Reading	14	2	28
Searching in Internet and Library	14	2	28
Designing and Applying Materials			0
Preparing Reports	8	5	40
Preparing Presentation			0
Presentation			0
Mid-Term and Studying for Mid-Term	1	25	25
Final and Studying for Final	1	25	25
Other			0
TOTAL WORKLOAD:			188
TOTAL WORKLOAD / 25:			7.52
ECTS:			8

-- COURSE'S CONTRIBUTION TO PROGRAM

NO	PROGRAM LEARNING OUTCOMES	1	2	3	4	5
1	in-depth study of one context (or of a range of contexts) relevant to the field of Information Systems (IS) and understanding of the field of IS				X
2	through the project you will develop a critical awareness of current problems and/or new insights, much of which is at, or informed by, the forefront of practice in IS				X
3	analyse information systems in a variety of contexts (social, organisational) using a range of appropriate approaches and methodologies				X
4	understand and integrate concepts from a range of academic disciplines contributing to IS (including, but not limited to, IS strategy, organisation behaviour and systems thinking) and context domains				X
5	critically evaluate the strengths and weaknesses of Information Systems methodologies and to be able to predict aspects that are likely to lead to failure			X
6	formulate and test arguments, identify weaknesses and counter arguments. Critically evaluate and reflect upon own work				X
7	articulate and demonstrate use of methods and concepts in practice					X
8	demonstrate the ability think and work originally, to be able to exercise own judgement about the value of information				X
9	develop solutions to problems and compare options				X
10	work independently, reflecting on your own actions and thoughts, and making effective use of constructive feedback, plan and schedule work				X
11	develop solutions to problems and compare options					X
12	solve problems by identifying and analysing issues to determine the optimal practical solutions to improve IS performance			X
13	communicate effectively using written and graphical presentations as appropriate, producing detailed critiques and coherent project reports					X
14	seek relevant information from appropriate sources				X
15	work independently, reflecting on your own actions and thoughts, and making effective use of constructive feedback, plan and schedule work				X
16	reflect on your own practice and evaluate practice within the field of IS from a sociotechnical perspective					X
17	Apply professional values and ethics relative to information systems				X

Gazi University

Information Package

Programme Information

Search

GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR