Akademik Dersler - Tanıtım

Last Updated: 30/09/2026

Code - Course Title	Course Type	Laboratory + Practice	ECTS
UZE638 - Big Data and Analitics in Education	II. SEMESTER	3 +0	7.5

Language of Instruction	Türkçe
Course Type	Elective Courses
Course Instructor(s)	PROF. DR. SİNAN AYDIN
Mode of Delivery	Face to face
Place of Delivery
Used Educational Platforms
Prerequisites	None
Courses Recomended	None
Recommended Resources	Course presentations and documentation of the software to be used in the course
Work Placement	None
Aims of the Course

Weeks	Learning Outcomes	Topics	Teaching Methods
Week - 1		What is big data?; Big data features and sources
Week - 2		Big Data applications in education
Week - 3		Big Data applications in education
Week - 4		Accessing and recording data
Week - 5		Extraction, cleaning and clarification
Week - 6		Integration, aggregation and representation
Week - 7		Modeling and analysis and Interpretation with Big Data
Week - 8		LMS and CMS data
Week - 9		Lerners interaction data
Week - 10		Machine learning models
Week - 11		Clustering
Week - 12		Classification
Week - 13		Association analysis
Week - 14		Analyzes on sample datasets

Quality Education

Educational Sciences and Educational Technologies Data Science

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Assessment Method and Passing Requirements
	Quamtity	Percentage (%)
Toplam (%)