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ISTANBUL GELİŞİM UNIVERSITY INFORMATION SYSTEM

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 - Introduction to the course, Understanding Big Data Lecture & Discussion & Practice
2 Literature Review, Assignment Big Data Components, Big Data Analitics, R Applications- I Lecture & Discussion & Practice
3 Literature Review, Assignment Big Data Analitics(Methodology), R Applications - II Lecture & Discussion & Practice
4 Literature Review, Assignment Machine Learning for Big Data Analysis Lecture & Discussion & Practice
5 Literature Review, Assignment Graph Calculation- Big Data Analitics Lecture & Discussion & Practice
6 Literature Review, Assignment Big Data Tools: Hadoop, MapReduce, Spark, NoSQL, MongoDB, Pig, Impala Lecture & Discussion & Practice
7 Literature Review, Assignment Statistical Methods for Big Data Analysis Lecture & Discussion & Practice
8 Literature Review, Assignment Naive Bayes Classifier for Big Data Lecture & Discussion & Practice
9 Literature Review, Assignment Simple and Multivariate Regression Analysis for Big Data Lecture & Discussion & Practice
10 - MID-TERM EXAM -
11 Literature Review, Assignment K-Means Clustering for Big Data Lecture & Discussion & Practice
12 Literature Review, Assignment Decision Trees for Big Data Lecture & Discussion & Practice
13 Literature Review, Assignment Logistic Regression for Big Data Lecture & Discussion & Practice
14 Literature Review, Assignment Project Presentation Lecture & Discussion & Practice
15 Literature Review, Assignment Project Presentation Lecture & Discussion & Practice
16 - FINAL EXAM -
17 - FINAL EXAM -