1 |
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Introduction and General Concepts |
Lecture & Discussion & Practice |
2 |
Literature Review |
Data mining fields of application |
Lecture & Discussion & Practice |
3 |
Literature Review |
Ready programs in data mining - Electronic Table Programs in data mining |
Lecture & Discussion & Practice |
4 |
Literature Review |
Preparing data analysis (steps) |
Lecture & Discussion & Practice |
5 |
Literature Review |
OLAP |
Lecture & Discussion & Practice |
6 |
Literature Review |
Classification and Clustering |
Lecture & Discussion & Practice |
7 |
Literature Review |
Decision Trees |
Lecture & Discussion & Practice |
8 |
- |
MID-TERM EXAM |
- |
9 |
Literature Review |
Statistics in Data Mining |
Lecture & Discussion & Practice |
10 |
Literature Review |
Artificial Intelligence in Data Mining |
Lecture & Discussion & Practice |
11 |
Literature Review |
Artificial Neural Networks in Data Mining |
Lecture & Discussion & Practice |
12 |
Literature Review |
Association theories |
Lecture & Discussion & Practice |
13 |
Literature Review |
Other mining theories in Data mining -Web ve Text Mining |
Lecture & Discussion & Practice |
14 |
Literature Review |
Case Studies |
Lecture & Discussion & Practice |
15 |
Literature Review |
Industrial Applications in data mining |
Lecture & Discussion & Practice |
16 |
- |
FINAL EXAM |
- |
17 |
- |
FINAL EXAM |
- |