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BIG DATA ANALYSIS COURSE IDENTIFICATION AND APPLICATION INFORMATION

Code	Name of the Course Unit	Semester	In-Class Hours (T+P)	Credit	ECTS Credit
YBS413	BIG DATA ANALYSIS	7	3	3	8

WEEKLY COURSE CONTENTS AND STUDY MATERIALS FOR PRELIMINARY & FURTHER STUDY
Week	Preparatory	Topics(Subjects)	Method
1	-	Course Introduction, Introduction to Big Data, Components of Big Data	Lecture & Discussion & Practice
2	Literature Review, Assignment	Introduction to Big Data Technologies and Advanced Distributed Systems	Lecture & Discussion & Practice
3	Literature Review, Assignment	Big Data Tools and Scalable Data Storage Solutions	Lecture & Discussion & Practice
4	Literature Review, Assignment	Distributed Data Processing and Management	Lecture & Discussion & Practice
5	Literature Review, Assignment	Companies Using Big Data Technologies and Application Areas	Lecture & Discussion & Practice
6	Literature Review, Assignment	Student Presentations: Presentation and Discussion of Technologies and Methods Used by Companies Utilizing Big Data	Lecture & Discussion & Practice
7	Literature Review, Assignment	Student Presentations: Presentation and Discussion of Technologies and Methods Used by Companies Utilizing Big Data	Lecture & Discussion & Practice
8	Literature Review, Assignment	Big Data Integration and Data Cleaning	Lecture & Discussion & Practice
9	Literature Review, Assignment	Dynamic Visualization with Big Data	Lecture & Discussion & Practice
10	-	MID-TERM EXAM	-
11	Literature Review, Assignment	Dimensionality Reduction Methods: PCA, t-SNE, and UMAP	Lecture & Discussion & Practice
12	Literature Review, Assignment	Neural Networks	Lecture & Discussion & Practice
13	Literature Review, Assignment	Time Series Forecasting Models – Time Series Forecasting with ARIMA, Prophet, and LSTM	Lecture & Discussion & Practice
14	Literature Review, Assignment	Gradient Boosting / XGBoost / LightGBM	Lecture & Discussion & Practice
15	FINAL	FINAL	Lecture & Discussion & Practice
16	-	FINAL EXAM	-
17	-	FINAL EXAM	-