Information Package / Course Catalogue
Introduction to Data Mining
Course Code: BİS532
Course Type: Area Elective
Couse Group: Second Cycle (Master's Degree)
Education Language: Turkish
Work Placement: N/A
Theory: 2
Prt.: 0
Credit: 2
Lab: 0
ECTS: 4
Objectives of the Course

To develop an understanding of the strengths and limitations of popular data mining techniques and to be able to identify promising statistical applications of data mining.

Course Content

The concepts, algorithms, techniques, data preprocessing, design and implementation of data warehouse.

Name of Lecturer(s)
Learning Outcomes
1.To develop an understanding of the concepts in data mining
2.To be able to locate and evaluate popular data mining techniques and software packages
3.To be able to identify promising applications of data mining
4.To be able to implement prototype data mining systems
5.To be able to design/implement new data mining algorithms
Recommended or Required Reading
Weekly Detailed Course Contents
Week 1 - Theoretical
Definition and application areas of data mining
Week 2 - Theoretical
Overview of data mining techniques and models
Week 3 - Theoretical
Basic requirements and components of data mining
Week 4 - Theoretical
Data mining stages
Week 5 - Theoretical
Data extraction and pre-processing techniques-I
Week 6 - Theoretical
Data extraction and pre-processing techniques-II
Week 7 - Theoretical
Data reduction methods-I
Week 8 - Intermediate Exam
Midterm exam
Week 9 - Theoretical
Veri azaltma yöntemleri-II
Week 10 - Theoretical
Data transformation techniques
Week 11 - Theoretical
Feature selection methods
Week 12 - Theoretical
Classification models
Week 13 - Theoretical
Regression models
Week 14 - Theoretical
Models for clustering
Week 15 - Theoretical
Literature review and discussion
Week 16 - Final Exam
Final exam
Assessment Methods and Criteria
Type of AssessmentCountPercent
Midterm Examination1%40
Final Examination1%60
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory140228
Lecture - Practice140228
Quiz120222
Midterm Examination110111
Final Examination115217
TOTAL WORKLOAD (hours)106
Contribution of Learning Outcomes to Programme Outcomes
PÇ-1
PÇ-2
PÇ-3
PÇ-4
PÇ-5
PÇ-6
PÇ-7
PÇ-8
PÇ-9
PÇ-10
OÇ-1
2
3
2
3
3
3
3
3
3
3
OÇ-2
3
3
3
4
4
3
4
4
4
5
OÇ-3
3
4
4
3
4
3
4
4
3
4
OÇ-4
4
4
4
4
4
3
4
4
4
3
OÇ-5
3
4
5
4
5
4
4
4
4
4
Adnan Menderes University - Information Package / Course Catalogue