Welcome,
Guest
.
Login
.
Türkçe
NİNOVA
COURSES
HELP
ABOUT
Where Am I:
Ninova
/
Courses
/
Faculty of Management
/
END 305E
/
Course Informations
Return to Faculty
Home Page
Course Information
Course Weekly Lecture Plan
Course Evaluation Criteria
Course Information
Course Name
Turkish
Veri Analizi
English
Data Analytics for Business
Course Code
END 305E
Credit
Lecture
(hour/week)
Recitation
(hour/week)
Laboratory
(hour/week)
Semester
-
3
-
-
-
Course Language
English
Course Coordinator
Mehmet Yasin Ulukuş
Mehmet Yasin Ulukuş
Nizamettin Bayyurt
Course Objectives
This course is on data analytics techniques for both manufacturing and service enterprises. The course is designed for undergraduate students. This course will cover some important and popular data analysis and decision making techniques such as regression, classification, clustering, and dimension reduction.
Course Description
This course is on data analytics techniques for both manufacturing and service enterprises. The course is designed for undergraduate students. This course will cover some important and popular data analysis and decision making techniques such as regression, classification, clustering, and dimension reduction. Although some theoretical aspects of these techniques will be discussed, the emphasis will be on how to apply and integrate these techniques for solving engineering problems in manufacturing and service organizations.
Course Outcomes
Pre-requisite(s)
Required Facilities
Other
Textbook
Other References
Courses
.
Help
.
About
Ninova is an ITU Office of Information Technologies Product. © 2024