Akademik Dersler - Tanıtım

Last Updated: 30/09/2026

Code - Course Title	Course Type	Laboratory + Practice	ECTS
BYN563 - Data Driven Journalism Studies	I. SEMESTER	3 +0	6.0

Language of Instruction	Türkçe
Course Type	Elective Courses
Course Instructor(s)	PROF. DR. HALUK BİRSEN
Mode of Delivery	Face to face
Place of Delivery
Used Educational Platforms
Prerequisites	No
Courses Recomended	No
Recommended Resources	Data Journalism Handbook2 Ed: Jonathan Gray, Liliana BaunegruVerification Handbook2 Ed: Craig Silverman
Work Placement	No
Aims of the Course

Weeks	Learning Outcomes	Topics	Teaching Methods
Week - 1		What are data, big data and its types;
Week - 2		Identification of Data Sources
Week - 3		Data mining applications
Week - 4		Data Driven Journalism and its importance
Week - 5		Definition of data journalist and teamwork models in data driven journalism
Week - 6		Evaluation of data driven journalism applications
Week - 7		Midterm
Week - 8		Evaluation of data driven journalism methods
Week - 9		Ethical dimension of data driven journalism
Week - 10		Verification
Week - 11		Verification methods and applications
Week - 12		Visualization as a narrative form in data driven journalism
Week - 13		Data visualization tools and applications
Week - 14		Analyzing data driven journalism applications

No content has been provided.

No content has been provided.

No content has been provided.

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