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DATA MINING COURSE IDENTIFICATION AND APPLICATION INFORMATION

Code Name of the Course Unit Semester In-Class Hours (T+P) Credit ECTS Credit
YEM406 DATA MINING 8 3 3 8

WEEKLY COURSE CONTENTS AND STUDY MATERIALS FOR PRELIMINARY & FURTHER STUDY
Week Preparatory Topics(Subjects) Method
1 Literature Review Introduction to Data Mining Lecture
2 Literature Review New Media and Data Mining Relation Lecture
3 Literature Review Computer Systems and Data Mining Lecture
4 Literature Review, Using Visual Sources Data Mining Applications Lecture
5 Literature Review Introduction to Data Mining Algorithms Lecture
6 Literature Review, Using Visual Sources Flow-charting Lecture
7 Literature Review Basic Concepts in data communications Lecture
8 - MID-TERM EXAM -
9 Literature Review Introduction to Programming Languages Lecture
10 Literature Review, Using Visual Sources, Using Applications Introduction to Database and Management Lecture
11 Using Visual Sources, Using Applications Usage of Software Tools in Computer Labs Demonstrating on Computer Programme
12 Using Visual Sources, Using Applications Introduction to Programming Languages Demonstrating on Computer Programme
13 Using Visual Sources, Using Applications Mathematical process in programming language, controls and cycles Demonstrating on Computer Programme
14 Using Visual Sources, Using Applications Base-Calling Algorithms Lecture & Demonstrating on Computer Programme
15 Using Visual Sources, Using Applications Processing Algorithms Lecture & Demonstrating on Computer Programme
16 - FINAL EXAM -
17 - FINAL EXAM -