Başkent Üniversitesi | Bilgi Paketi

COURSE UNIT TITLE	COURSE UNIT CODE	SEMESTER	THEORY + PRACTICE (Hour)	ECTS
KNOWLEDGE MANAGEMENT AND ENGINEERING	BİL584	-	3 + 0	10

TYPE OF COURSE UNIT

Elective Course

LEVEL OF COURSE UNIT

Master's Degree With Thesis

YEAR OF STUDY

SEMESTER

NUMBER OF ECTS CREDITS ALLOCATED

NAME OF LECTURER(S)

LEARNING OUTCOMES OF THE COURSE UNIT

At the end of this course, the students;
1) Will have a better understanding of knowledge and knowledge types.
2) Will learn Knowledge Management (KM) and various issues related to this topic.
3) Will learn Knowledge Engineering (KE) and its relation to Knowledge Management.
4) Will have a better understanding of Knowledge Management & Engineering (KME) Technologies: Artificial Intelligence (AI), Knowledge Based Systems (KBS) and Knowledge Modeling.
5) Will learn KME Systems Life Cycle.

MODE OF DELIVERY

Face to face

PRE-REQUISITES OF THE COURSE

RECOMMENDED OPTIONAL PROGRAMME COMPONENT

None

COURSE DEFINITION

Introduction: Knowledge, Knowledge Society, eEurope Project. The Nature of Knowledge and Knowledge Types. Knowledge Management - General, Principles, KM Solutions. Knowledge Engineering. Knowledge Management and Engineering (KME) Technologies. KME Technologies: AI and KBS. Case Based Reasoning Systems (CBRS) and Data Mining. Knowledge Modeling - DFD. Knowledge Modeling - UML. KME Systems Life Cycle. The Future of KME.

COURSE CONTENTS

WEEK	TOPICS
1^st Week	Introduction: Knowledge, Knowledge Society, eEurope Project.
2^nd Week	The Nature of Knowledge and Knowledge Types.
3^rd Week	Knowledge Management - General.
4^th Week	Knowledge Management - Principles.
5^th Week	Knowledge Management - KM Solutions.
6^th Week	Knowledge Engineering.
7^th Week	Knowledge Management and Engineering (KME) Technologies.
8^th Week	Mid-term
9^th Week	KME Technologies - AI and KBS.
10^th Week	KME Technologies - Case Based Reasoning Systems (CBRS) and Data Mining.
11^th Week	KME Technologies - Knowledge Modeling - DFD.
12^th Week	KME Technologies - Knowledge Modeling - UML.
13^th Week	KME Systems Life Cycle.
14^th Week	The Future of KME.

RECOMENDED OR REQUIRED READING

Course Book: Becerra-Fernandez, I. A. Gonzalez, and R. Sabherwal "Knowledge Management", Pearson / Prentice Hall, 2004.
References:
1. Rhem, A.J. "UML for Developing Knowledge Management Systems", Auerbaclı, 2006.
2. Tiwana, A. "The Knowledge Management Toolkit", Pearson / Prentice Hall, 2002.
3. Awad, E.M. and H.M.Ghaziri , "Knowledge Management", Prentice Hall, 2004.

PLANNED LEARNING ACTIVITIES AND TEACHING METHODS

Presentation

ASSESSMENT METHODS AND CRITERIA

	Quantity	Percentage(%)
Mid-term	1	30
Assignment	1	5
Quiz	1	15
Project	1	10
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)

KEY LEARNING OUTCOMES (KLO) / MATRIX OF LEARNING OUTCOMES (LO)
	LO1	LO2	LO3	LO4	LO5
K1		X	X	X	X
K2	X	X	X	X	X
K3	X	X	X	X	X
K4	X	X	X	X	X
K5	X	X	X	X	X
K6			X
K7					X
K8	X	X	X	X	X
K9	X
K10	X
K11	X
K12	X