INTERNATIONAL BURCH UNIVERSITY
Graduate Study - Faculty of Engineering and Natural Sciences
3+2 Information Technology Master
2013-2014

SYLLABUS
Code Name Level Year Semester
CEN 670 Special Topics in Data Mining Graduate 1 Spring
Status Number of ECTS Credits Class Hours Per Week Total Hours Per Semester Language
7.5 0 English

Instructor Assistant Coordinator
G√ľnay Karli, Assoc. Prof. Dr. Nejdet Dogru, Assist. Prof. Dr.
[email protected] no email

COURSE OBJECTIVE
Introducing students to the advanced concepts and techniques of Data Mining. Developing skills of using recent data mining software for solving practical problems. Gaining experience of doing independent study and research

COURSE CONTENT
Week
Topic
  1. Intro. to Data Mining
  2. Data Mining Concept
  3. Data Mining Methods and Tools
  4. Data Mining in SQL Server
  5. Applied Data Mining Using SQL Server
  6. Applied Data Mining Using SQL Server
  7. Data Mining in Specific Field
  8. Data Mining in Specific Field
  9. Data Mining in Specific Field
  10. Data Mining in Specific Field
  11. Data Mining in Specific Field
  12. Implementation of Final Data Mining Project
  13. Implementation of Final Data Mining Project
  14. Presentations of Final Project

LABORATORY/PRACTICE PLAN
Week
Topic

    TEACHING/ASSESSMENT
    Description
    • Lectures
    • Presentation
    • Project
    Description (%)
    Method Quantity Percentage (%)
    Project140
    Presentation230
    Term Paper130
    Total: 100
    Learning outcomes
      TEXTBOOK(S)

        ECTS (Allocated based on student) WORKLOAD
        Activities Quantity Duration (Hour) Total Work Load
        Lecture (14 weeks x Lecture hours per week) 0
        Laboratory / Practice (14 weeks x Laboratory/Practice hours per week) 0
        Midterm Examination (1 week) 0
        Final Examination(1 week) 0
        Preparation for Midterm Examination 0
        Preparation for Final Examination 0
        Total Workload: 0
        ECTS Credit (Total workload/25): 0