Information Package
baskent.edu.tr

Ph.D. on Computer Engineering

BİL618

KNOWLEDGE ENGINEERING

Course Code
BİL618
Semester
-
Theory+Practice
3 + 0
ECTS
10
Course TypeElective Course
Course LevelDoctorate Of Science
Year of Study-
Semester-
ECTS10
Name of Lecturer(s) -
Learning Outcomes

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 DeliveryFace to face
PrerequisitesNo
Recommended Optional Programme ComponentsBİL584 Knowledge Management and Engineering
Course DescriptionGiriş, 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
Recommended or Required ReadingBecerra- 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 Allocated Based on Student Workload
Activities Quantity Duration (Hour) Total Workload (Hour)
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 Work Load313
Total Work Load / 30 (h)10.43
ECTS Credit of the Course10
Language of InstructionTurkish
Work Placement(s)No

Programme Qualifications / Learning Outcomes

LO1 LO2 LO3
K1 X X
K2 X X X
K3 X X X
K4 X X X
K5 X X X
K6 X X X
K7 X X X
K8 X
K9 X X X
K10 X
K11 X X
K12 X X