Course Unit Code | 050-0010/01 |
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Number of ECTS Credits Allocated | 5 ECTS credits |
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Type of Course Unit * | Compulsory |
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Level of Course Unit * | Second Cycle |
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Year of Study * | First Year |
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Semester when the Course Unit is delivered | Winter Semester |
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Mode of Delivery | Face-to-face |
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Language of Instruction | Czech |
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Prerequisites and Co-Requisites | There are no prerequisites or co-requisites for this course unit |
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Name of Lecturer(s) | Personal ID | Name |
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| SEN76 | doc. Ing. Pavel Šenovský, Ph.D. |
Summary |
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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 |
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Basic knowledge in the area of SCADA systems. The synthesis of knowledge from the software support of analyses from various data sources. |
Course Contents |
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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 |
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Required Reading: |
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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: |
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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 |
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Lectures, Tutorials, Project work |
Assesment methods and criteria |
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Task Title | Task Type | Maximum Number of Points (Act. for Subtasks) | Minimum Number of Points for Task Passing |
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Exercises evaluation and Examination | Credit and Examination | 100 (100) | 51 |
Exercises evaluation | Credit | 45 | 16 |
Examination | Examination | 55 | 28 |