Information Of Programmes

INSTITUTE OF SOCIAL SCIENCES / İŞLD656 - BUSINESS MANAGEMENT (PHD)

Code: İŞLD656

Course Title: EXPERT SYSTEMS

Theoretical+Practice: 3+0

ECTS: 6

Year/Semester of Study

1 / Spring Semester

Level of Course

3rd Cycle Degree Programme

Type of Course

Optional

Department

BUSINESS MANAGEMENT (PHD)

Pre-requisities and Co-requisites

None

Mode of Delivery

Face to Face

Teaching Period

14 Weeks

Name of Lecturer

NURİ ÖZGÜR DOĞAN (nodogan@nevsehir.edu.tr)

Name of Lecturer(s)

Language of Instruction

Turkish

Work Placement(s)

None

Objectives of the Course

The aim of this course is to provide the students being able to design and evaluation of expert system especially in production and operations management by using the basics and elements of expert systems.

Learning Outcomes		PO	MME
The students who succeeded in this course:
LO-1	Can use basic concepts of expert systems properly in designing an expert system	PO-7 The candidate can search theoretical and practical knowledge and skills which can gained in the field of Business Administration, can determine these knowledge and skills how it is used in practice and field analysis, can adapt and analyze these knowledge and skills, can make critical decisions, and can apply by reaching synthesis.	Examination
LO-2	Can use knowledge representation methods and expert system constructions for business objectives	PO-7 The candidate can search theoretical and practical knowledge and skills which can gained in the field of Business Administration, can determine these knowledge and skills how it is used in practice and field analysis, can adapt and analyze these knowledge and skills, can make critical decisions, and can apply by reaching synthesis.	Examination Performance Project
LO-3	Can design knowledge-based integrated system for production and operations management	PO-7 The candidate can search theoretical and practical knowledge and skills which can gained in the field of Business Administration, can determine these knowledge and skills how it is used in practice and field analysis, can adapt and analyze these knowledge and skills, can make critical decisions, and can apply by reaching synthesis.	Examination Performance Project
LO-4	Can make critical analysis, synthesize and evaluate new and complex ideas	PO-7 The candidate can search theoretical and practical knowledge and skills which can gained in the field of Business Administration, can determine these knowledge and skills how it is used in practice and field analysis, can adapt and analyze these knowledge and skills, can make critical decisions, and can apply by reaching synthesis.	Examination Performance Project
PO: Programme Outcomes MME:Method of measurement & Evaluation

Course Contents
Basic concept: inference engine, knowledge base, knowledge elicitation, representation and control of knowledge, automated reasoning, representing uncertainty, practical problem solving. Development of the theory and practice of expert systems, well-known samples of expert systems, software tools and architectures for building expert systems.
Weekly Course Content
Week	Subject	Learning Activities and Teaching Methods
1	Introduction to Expert Systems	verbal lecture and discussion
2	Basic Concepts in Expert Systems	verbal lecture and discussion
3	Knowledge Representation	verbal lecture and discussion
4	Symbolic Computation	verbal lecture and discussion
5	Rule Based Systems	verbal lecture and discussion
6	Representing Uncertainty	verbal lecture and discussion
7	Knowledge Acquisition	verbal lecture and discussion
8	mid-term exam
9	Hierarchical Hypothesis and Test	verbal lecture and discussion
10	Constructive Problem Solving	verbal lecture and discussion
11	Constructive Problem Solving	verbal lecture and discussion
12	Tools for Building Expert Systems	verbal lecture and discussion
13	Designing example expert system	Performance Homework
14	Designing example expert system	Performance Homework
15	Designing example expert system	Performance Homework
16	final exam
Recommend Course Book / Supplementary Book/Reading
1	Durkin, John, Expert Systems: Design and Development, Prentice Hall, Englewood Cliffs, NJ, 1994
2	P. Jackson, Introduction to Expert Systems, 3rd Edition. Addison Wesley, 1999.
Required Course instruments and materials
Text Book, Writing Board, Projection Device

Assessment Methods
Type of Assessment	Week	Hours	Weight(%)
mid-term exam	8	2	40
Other assessment methods
1.Oral Examination
2.Quiz
3.Laboratory exam
4.Presentation
5.Report
6.Workshop
7.Performance Project
8.Term Paper
9.Project
final exam	16	2	60

Student Work Load
Type of Work	Weekly Hours	Number of Weeks	Work Load
Weekly Course Hours (Theoretical+Practice)	3	14	42
Outside Class
a) Reading	3	14	42
b) Search in internet/Library	3	14	42
c) Performance Project	4	2	8
d) Prepare a workshop/Presentation/Report			0
e) Term paper/Project			0
Oral Examination			0
Quiz			0
Laboratory exam			0
Own study for mid-term exam	3	5	15
mid-term exam	2	1	2
Own study for final exam	3	7	21
final exam	2	1	2
			0
			0
Total work load;			174