Security Information Technology III.

* Exchange students do not have to consider this information when selecting suitable courses for an exchange stay.

Course Unit Code050-0010/01
Number of ECTS Credits Allocated5 ECTS credits
Type of Course Unit *Compulsory
Level of Course Unit *Second Cycle
Year of Study *First Year
Semester when the Course Unit is deliveredWinter Semester
Mode of DeliveryFace-to-face
Language of InstructionCzech
Prerequisites and Co-Requisites There are no prerequisites or co-requisites for this course unit
Name of Lecturer(s)Personal IDName
SEN76doc. Ing. Pavel Šenovský, Ph.D.
Summary
Students will familiarize themselves with the possibilities of employing the information technologies for database datamining as a useful source of information for an effective decision-making process. They will also familiarize with the rudiments of industrial automation of manufacturing process.
Learning Outcomes of the Course Unit
Basic knowledge in the area of SCADA systems. The synthesis of knowledge from the software support of analyses from various data sources.
Course Contents
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
Recommended or Required Reading
Required Reading:
Hastie, T.; Tibshirani, R., Friedman, J. The Elements of Statistical Learning: Data Mining, Inference, and Prediction. 2nd ed. Springer, 2009, 745 pp., ISBN978-0387848570
Šenovský, P.: Bezpečnostní informatika 3. Skriptum, 2. vydání, VŠB - Technická Univerzita Ostrava, Ostrava 2010, 80 str., dostupné z http://lms.vsb.cz [cit. 2014-01-22]
Recommended Reading:
Han, J.; Kamber, M., Pei, J. Data Mining: Concepts and Techniques. 3rd ed. Morgan Kaufmann, 2011, 744 pp., ISBN 978-0123814791
Berka, P.: Dobývání znalostí z databází. Academia: Praha 2003, 366 str., ISBN
80-200-1062-9
Planned learning activities and teaching methods
Lectures, Tutorials, Project work
Assesment methods and criteria
Task TitleTask TypeMaximum Number of Points
(Act. for Subtasks)
Minimum Number of Points for Task Passing
Exercises evaluation and ExaminationCredit and Examination100 (100)51
        Exercises evaluationCredit45 16
        ExaminationExamination55 28