Welcome,
Guest
.
Login
.
Türkçe
NİNOVA
COURSES
HELP
ABOUT
Where Am I:
Ninova
/
Courses
/
Institute of Social Science
/
ITY 526E
/
Course Informations
Return to Faculty
Home Page
Course Information
Course Weekly Lecture Plan
Course Evaluation Criteria
Course Information
Course Name
Turkish
Kurumsal Zeka ve Veri Madenciliği
English
Business Intelligence & Data Mining
Course Code
ITY 526E
Credit
Lecture
(hour/week)
Recitation
(hour/week)
Laboratory
(hour/week)
Semester
2
4
4
-
-
Course Language
English
Course Coordinator
Gülgün Kayakutlu
Course Objectives
1. Grasp the necessities of Business Intelligence
2. Learn about the tools of Data Mining
3. Practice using data mining as the decision support
Course Description
Today the business environment is in a continuous change and heavy competition. Any company needs to know what is known in the company, discover what is not known; and accumulate what is to be known. Business Intelligence is the approach that will help survive by creating competitive advantages using the data mining techniques as tools for management. This course will teach methods that support converting knowledge into intelligence
Course Outcomes
1. Understanding Business Intelligence Approach at each Management level
2. General knowledge of Data Mining methodologies
3. One data mining method in decision process
4. Developing a scientific article
Pre-requisite(s)
Required Facilities
Other
Textbook
KARLO VERCELLIS, BUSINESS INTELLIGENCE, JOHN WILEY &SONS, 2009
Other References
Courses
.
Help
.
About
Ninova is an ITU Office of Information Technologies Product. © 2024