| 1 |
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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 |
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MID-TERM EXAM |
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| 9 |
Literature Review, Assignment |
Naive Bayes Classifier for Big Data |
Lecture & Discussion & Practice |
| 10 |
Literature Review, Assignment |
Simple and Multivariate Regression Analysis for Big Data |
Lecture & Discussion & Practice |
| 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 |
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FINAL EXAM |
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| 17 |
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FINAL EXAM |
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