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Statistics for engineers

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

Course Unit Code310-3145/01
Number of ECTS Credits Allocated4 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
SKN002Ing. Petra Schreiberová, Ph.D.
Summary
Learning Outcomes of the Course Unit
The aim is to understand of statistical methods for data analysis. Absolvent will be able to interpret results of statistical methods in a selected statistical software.
Course Contents
1. Software R
2. Random variable
3. Descriptive statistics
4. Graphical analysis
5. Inductive statistics - point and interval estimation
6. Statistical hypothesis testing parametric
7. Statistical hypothesis testing neparametric
8. ANOVA
9. Linear regression
10. Time series analysis
11. Decomposing Time Series
Recommended or Required Reading
Required Reading:
CRAWLEY, Michael J. Statistics: an introduction using R. Chichester, West Sussex, England: J. Wiley, 2005. ISBN 978-0470022986.
BOHÁČ, Zdeněk: Numerical Methods and Statistics, Ostrava: VŠB - Technická univerzita Ostrava, 2005. ISBN 80-248-0803-X
SCHREIBEROVÁ, Petra. Statistické zpracování dat v energetice. 1. vyd. Ostrava, 2022. ISBN 978-80-247-4651-4, dostupné z: http://mdg.vsb.cz/portal/m3/Statistika_energetika.pdf.
DUBOVSKÝ, Viktor et al. Matematika III: Pracovní listy, Ostrava: VŠB - Technická univerzita Ostrava, 2015. ISBN 978-80-248-3875-5.
ANDĚL, Jiří. Základy matematické statistiky. 2. opr. vyd. Praha: Matfyzpress, 2007. ISBN 978-80-7378-001-2.
ŠKŇOUŘILOVÁ,Petra a Radim BRIŠ. Statistics I. Ostrava: VŠB - Technická univerzita Ostrava, 2007. Dostupné z: http://mdg.vsb.cz/portal/en/Statistics1.pdf
Recommended Reading:
ŠKŇOUŘILOVÁ,Petra a Radim BRIŠ. Statistics I. Ostrava: VŠB - Technická univerzita Ostrava, 2007. Dostupné z: http://mdg.vsb.cz/portal/en/Statistics1.pdf
HENDL, Jan. Přehled statistických metod zpracování dat: analýza a metaanalýza dat. Praha: Portál, 2004. ISBN 80-7178-820-1.
ZVÁRA, Karel a Josef ŠTĚPÁN. Pravděpodobnost a matematická statistika. Vyd. 4. Praha: Matfyzpress, 2006. ISBN 80-86732-71-1.
CRAWLEY, Michael J. Statistics: an introduction using R. Chichester, West Sussex, England: J. Wiley, 2005. ISBN 978-0470022986.
Planned learning activities and teaching methods
Lectures, Tutorials
Assesment methods and criteria
Task TitleTask TypeMaximum Number of Points
(Act. for Subtasks)
Minimum Number of Points for Task Passing
Credit and ExaminationCredit and Examination100 (100)51
        CreditCredit20 5
        ExaminationExamination80 30