SCIENTIFIC COMPUTATION (4 Credits)

Learning Outcomes:

On successful completion of this course, students will be able to: explain data mining and statistical data mining concept; demonstrate data exploration and detection of anomaly problems; demonstrate building models; interpret the results of exploration data and building models; apply data mining in R.

Topics:

1. Introduction; Data;
2. Data Exploration;
3. Classification: Basic Concepts and Techniques;
4. Classification: Alternative Techniques;
5. Association Analysis: Basic Concepts and Algorithms;
6. Cluster Analysis: Basic Concepts and Algorithms;
7. Anomaly Detection.