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Industrial Data Analysis

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

Course Unit Code310-2221/01
Number of ECTS Credits Allocated3 ECTS credits
Type of Course Unit *Compulsory
Level of Course Unit *First Cycle
Year of Study *Third Year
Semester when the Course Unit is deliveredWinter Semester
Mode of DeliveryFace-to-face
Language of InstructionCzech
Prerequisites and Co-Requisites Course succeeds to compulsory courses of previous semester
Name of Lecturer(s)Personal IDName
SKN002Ing. Petra Schreiberová, Ph.D.
Summary
Learning Outcomes of the Course Unit
- Understand the issues of data analysis.
- Synthesise and organise information in data.
- Interpret, understand statistical results.
- Know some standard methods for professional analyses.
- Understand the limitations of these approaches, consider alternatives, extensions, etc..
Course Contents
- Matlab
- Statistical methods, descriptive statistics
- Point estimators, interval estimators
- Statistical hypothesis testing
- Correlation and regression analysis
- Time Series Analysis
Recommended or Required Reading
Required Reading:
Martinez, W. L.: Exploratory data analysis with MATLAB. Boca Raton, Fla.: Chapman&Hall/CRC, c2005. ISBN 1-58488-366-9.
Škňouřilová, P., Briš, R.: Statistics I, VŠB – TUO, Ostrava 2007.
Meloun, M.; Militký, J.: Statistická analýza experimentálních dat. Praha: Academia, 2004. ISBN 80-200-1254-0.
Dubovský, V., Jarošová, M., Krček, J., Krčková, J., Schreiberová, P., Volný, P.: Matematika III: Pracovní listy. 2015. ISBN 978-80-248-3875-5
Anděl, J.: Statistické metody, Matfyzpress Praha, 1993.
Škňouřilová, P., Briš, R.: Statistics I, VŠB – TUO, Ostrava 2007. http://mdg.vsb.cz/portal/en/Statistics1.pdf
Recommended Reading:
PÄRT-ENANDER, E.: The Matlab handbook. Harlow:Addison-Wesley, 1997. ISBN 0-201-87757-0.
Zvára K., Štěpán J.,: Pravděpodobnost a matematická statistika, Matfyzpress, Praha, 2001.
Dušek, F.: MATLAB a SIMULINK - úvod do užívání. Univerzita Pardubice, 2000. ISBN 80-7194-273-1.
Litschmannová M.: Úvod do statistiky. FEI VŠB TU Ostrava 2011; http://mi21.vsb.cz/modul/uvod-do-statistiky
Martinez, W. L.: Exploratory data analysis with MATLAB. Boca Raton, Fla.: Chapman&Hall/CRC, c2005. ISBN 1-58488-366-9.
Planned learning activities and teaching methods
Tutorials
Assesment methods and criteria
Task TitleTask TypeMaximum Number of Points
(Act. for Subtasks)
Minimum Number of Points for Task Passing
Graded creditGraded credit100 51