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About the Programme Academic Staff Program Qualifications Lessons Matrix of Course & Program Qualifications Turkish Qualifications Framework (TQF) TQF & Program Qualifications
  1. Open Education Faculty
  2. Computer Programming
  3. Course Structure Diagram with Credits
  4. Data Mining
  5. Description
  • Description
  • Learning Outcomes
  • ECTS Credit Load
  • Course's Contribution to Program
  • Learning Outcomes & Program Qualifications
Last Updated: 22/10/2025

Code - Course Title Compulsory/Elective Laboratory + Practice ECTS
YBS404U - Data Mining IV. SEMESTER 0 +0 5.0
Language of Instruction Türkçe
Course Type Required Courses
Course Instructor(s) Prof. Dr. Fikret Er
Mode of Delivery Open Education
Place of Delivery
Used Educational Platforms
Prerequisites There is no prerequisite or co-requisite for this course.
Courses Recomended There is no recommended optional programme component for this course.
Recommended Resources Data Mining
Work Placement Not Applicable
Aims of the Course

Weeks Learning Outcomes Topics Teaching Methods
Week - 1 Fundamentals of Data Mining
Week - 2 R Software Environment
Week - 3 Organization of Data
Week - 4 Distance and Similarity Meausures
Week - 5 Exercises for Midterm
Week - 6 Exercises for Midterm
Week - 7 Midterm exam
Week - 8 Association Rules
Week - 9 Decision Trees
Week - 10 Cluster Analysis
Week - 11 Cluster Analysis
Week - 12 Exercises
Week - 13 Exercises for final exam
Week - 14 Final Exam

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Assessment Method and Passing Requirements
Quamtity Percentage (%)
1.Midterm Exam 1 30
Final Exam 1 70
Toplam (%) 100

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