TYPE OF COURSE UNIT	Elective Course
LEVEL OF COURSE UNIT	Doctorate Of Science
YEAR OF STUDY	-
SEMESTER	-
NUMBER OF ECTS CREDITS ALLOCATED	10
NAME OF LECTURER(S)	-
LEARNING OUTCOMES OF THE COURSE UNIT	At the end of this course, the students; 1) Learn types and characteristics of data, information and knowledge 2) Learn knowledge management and its value to organizations 3) Learn knowledge engineering, its technics and applications
MODE OF DELIVERY	Face to face
PRE-REQUISITES OF THE COURSE	No
RECOMMENDED OPTIONAL PROGRAMME COMPONENT	BİL584 Knowledge Management and Engineering
COURSE DEFINITION	Giriş, Bilgi, bilgi türleri ve özellikleri,Bilgi yönetimi, Bilgi mühendisliği, Bilgi mühendisliği teknikleri : Yapay us, Uzman sistemler (KBS), Örneğe dayalı sistemler, Veri madenciliği, Bilgi modelleme ve gösterimi
COURSE CONTENTS	WEEK TOPICS 1st Week Introduction 2nd Week Knowledge, knowledge types and characteristics 3rd Week Knowledge management 4th Week Knowledge management 5th Week Knowledge engineering 6th Week Knowledge engineering 7th Week Knowledge engineering 8th Week Mid-term 9th Week Knowledge engineering technologies: AI, KBS (Expert Systems), CBS, Data mining, Knowledge modeling and representation 10th Week Knowledge engineering technologies: AI, KBS (Expert Systems), CBS, Data mining, Knowledge modeling and representation 11th Week Knowledge engineering technologies: AI, KBS (Expert Systems), CBS, Data mining, Knowledge modeling and representation 12th Week Knowledge engineering technologies: AI, KBS (Expert Systems), CBS, Data mining, Knowledge modeling and representation 13th Week Knowledge engineering technologies: AI, KBS (Expert Systems), CBS, Data mining, Knowledge modeling and representation 14th Week Knowledge engineering technologies: AI, KBS (Expert Systems), CBS, Data mining, Knowledge modeling and representation
RECOMENDED OR REQUIRED READING	Becerra- Fernandez, I. , A. Gonzalez and R. Sabherval,Knowledge Management, Pearson / Prentice-Hall, 2004. Becerra-Fernandez, I. and R. Sabherwal, KnowledgeManagement: Systems and Processes. M. E. Sharpe, 2010. Awad, E. M. and H. Ghaziri, Knowledge Management,2nd Ed.International Technology Group, LTD, 2010. Tiwana, A., Knowledge Management Toolkit, Pearson, 2002.
PLANNED LEARNING ACTIVITIES AND TEACHING METHODS	Lecture,Questions/Answers,Project,Presentation
ASSESSMENT METHODS AND CRITERIA	Quantity Percentage(%) Mid-term 1 30 Project 1 30 Total(%) 60 Contribution of In-term Studies to Overall Grade(%) 60 Contribution of Final Examination to Overall Grade(%) 40 Total(%) 100
ECTS WORKLOAD	Activities Number Hours Workload Midterm exam 1 2 2 Preparation for Quiz Individual or group work 14 11 154 Preparation for Final exam 1 69 69 Course hours 14 3 42 Preparation for Midterm exam 1 44 44 Laboratory (including preparation) Final exam 1 2 2 Homework Total Workload 313 Total Workload / 30 10,43 ECTS Credits of the Course 10
LANGUAGE OF INSTRUCTION	Turkish
WORK PLACEMENT(S)	No