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BIG DATA MANAGEMENT COURSE IDENTIFICATION AND APPLICATION INFORMATION

Code	Name of the Course Unit	Semester	In-Class Hours (T+P)	Credit	ECTS Credit
YEM435	BIG DATA MANAGEMENT	7	3	3	7

WEEKLY COURSE CONTENTS AND STUDY MATERIALS FOR PRELIMINARY & FURTHER STUDY
Week	Preparatory	Topics(Subjects)	Method
1	Literature Review	Introduction to Big Data Concept	Lecture
2	Literature Review	Big Data and New Media Relation	Demonstrating & Demonstrating with samples
3	Literature Review	Description of Media Contexts	Demonstrating & Demonstrating with samples
4	Literature Review, Using Visual Sources	Database Systems and Data Performance Analysis	Demonstrating & Demonstrating with samples
5	Literature Review, Using Visual Sources	MapReduce Framework	Demonstrating & Demonstrating with samples
6	Literature Review, Using Visual Sources	Apache Spark	Demonstrating & Demonstrating with samples
7	Literature Review, Using Visual Sources	Big SQL Systems	Demonstrating & Demonstrating with samples
8	-	MID-TERM EXAM	-
9	Literature Review, Using Visual Sources	General Revision	Demonstrating & Demonstrating with samples
10	Literature Review, Using Visual Sources	Large-scale Graphics	Demonstrating & Demonstrating with samples
11	Literature Review, Using Visual Sources	Large-scale Flow Operation	Demonstrating & Demonstrating with samples
12	Literature Review, Using Visual Sources	Large-scale Flow Operation Platforms	Demonstrating & Demonstrating with samples
13	Literature Review, Using Visual Sources	Disintegration of Big Data Operations in Pipeline	Demonstrating & Demonstrating with samples
14	Literature Review, Using Visual Sources	Discussion on advanced applications in the field	Demonstrating & Demonstrating with samples
15	Literature Review, Using Visual Sources	Discussion on advanced applications in the field	Demonstrating & Demonstrating with samples
16	-	FINAL EXAM	-
17	-	FINAL EXAM	-