Terminated in academic year 2020/2021
Security Information Technology III.
| Type of study | Follow-up Master |
|---|---|
| Language of instruction | Czech |
| Code | 050-0010/01 |
| Abbreviation | BI3 |
| Course title | Security Information Technology III. |
| Credits | 5 |
| Coordinating department | Department of Civil Protection |
| Course coordinator | doc. Ing. Pavel Šenovský, Ph.D. |
Subject syllabus
1. Introduction to Safety informatics III
2. Data mining
3. Data classification
4. Decision rules
5. Decision trees and associative analysis
6. Bayes' theorem and its application
7. Neural networks and data mining
8. Evolutional algorithms and data mining
9. Introduction to industrial automatisation
10. SCADA and its usage
11. Real-time databases and data processing in industrial systems
12. Safety aspects of SCADA usage
13. Actual risks in the area of industrial automatisation
2. Data mining
3. Data classification
4. Decision rules
5. Decision trees and associative analysis
6. Bayes' theorem and its application
7. Neural networks and data mining
8. Evolutional algorithms and data mining
9. Introduction to industrial automatisation
10. SCADA and its usage
11. Real-time databases and data processing in industrial systems
12. Safety aspects of SCADA usage
13. Actual risks in the area of industrial automatisation
Literature
Hastie, T.; Tibshirani, R., Friedman, J. The Elements of Statistical Learning: Data Mining, Inference, and Prediction. 2nd ed. Springer, 2009, 745 pp., ISBN978-0387848570
Advised literature
Han, J.; Kamber, M., Pei, J. Data Mining: Concepts and Techniques. 3rd ed. Morgan Kaufmann, 2011, 744 pp., ISBN 978-0123814791