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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 -