COURSE INFORMATION
Course CodeCourse TitleL+P HourSemesterECTS
YBS 476DATA MINING3 + 06th Semester5

COURSE DESCRIPTION
Course Level Bachelor's Degree
Course Type Elective
Course Objective Introducing and teaching data mining with applications.
Course Content This course is statistical data mining, machine learning, and consists of three parts içermektedir.Ders the basics in terms of a data base. The first part of data mining and machine learning approach for the statistical foundations of Online Analytical Processing hakkındadır.İkinci section, for operations such as grouping of association rules, and we will cover the basic data mining algorithms. The last part of the course text mining, association filter, linkage analysis and biological research focuses on areas such as the mining areas.
Prerequisites No prerequisites.
Corequisite No corequisites.
Mode of Delivery Face to face

COURSE LEARNING OUTCOMES
1Data Mining Fundemantals
2Integration data mining with applications

COURSE'S CONTRIBUTION TO PROGRAM
Data not found.

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION
ActivitiesQuantityDuration (Hour)Total Work Load (Hour)
Course Duration14342
Hours for off-the-classroom study (Pre-study, practice)13339
Assignments11010
Mid-terms11313
Final examination12626
Total Work Load

ECTS Credit of the Course






130

5

COURSE DETAILS
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L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes