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BUSINESS INTELLIGENCE COURSE IDENTIFICATION AND APPLICATION INFORMATION

Code Name of the Course Unit Semester In-Class Hours (T+P) Credit ECTS Credit
YBS320 BUSINESS INTELLIGENCE 5 3 3 5

WEEKLY COURSE CONTENTS AND STUDY MATERIALS FOR PRELIMINARY & FURTHER STUDY
Week Preparatory Topics(Subjects) Method
1 - Introduction to Business Intelligence Lecture & Discussion & Practice
2 Literature Review Business intelligence and decision support systems / intelligent systems Lecture & Discussion & Practice
3 Literature Review Data warehouse and special database Lecture & Discussion & Practice
4 Literature Review Data Visualization and Reporting Lecture & Discussion & Practice
5 Literature Review Data Mining 1 (basic concept and process) Lecture & Discussion & Practice
6 Literature Review Data Mining 2 (statistics based techniques) Lecture & Discussion & Practice
7 Literature Review Data Mining 3 (techniques based on machine) Lecture & Discussion & Practice
8 - MID-TERM EXAM -
9 Literature Review Data Mining 4 (techniques based on intelligent systems) Lecture & Discussion & Practice
10 Literature Review Text Mining Lecture & Discussion & Practice
11 Literature Review Web Mining Lecture & Discussion & Practice
12 Literature Review Data Mining Practices Lecture & Discussion & Practice
13 Literature Review Business Performance Management Lecture & Discussion & Practice
14 Literature Review Developing and practicing in Business Intelligence process Lecture & Discussion & Practice
15 Literature Review Business Intelligence Practices Lecture & Discussion & Practice
16 - FINAL EXAM -
17 - FINAL EXAM -