545-0037/04 – Stochastic Methods of Modelling (SSMM)
Gurantor department | Department of Economics and Control Systems | Credits | 5 |
Subject guarantor | doc. Ing. Pavel Staša, Ph.D. | Subject version guarantor | doc. Dr. Ing. Vladimír Kebo |
Study level | undergraduate or graduate | Requirement | Compulsory |
Year | 1 | Semester | winter |
| | Study language | Czech |
Year of introduction | 2001/2002 | Year of cancellation | 2009/2010 |
Intended for the faculties | HGF | Intended for study types | Follow-up Master |
Subject aims expressed by acquired skills and competences
The aim of the subject is to meet students two courses: Automation and Computers in the Raw Industry, System Enggineering, with possibilities and principles of stochastics systems modelling.
Teaching methods
Lectures
Tutorials
Summary
This subject contains bases from process of data analysis such descriptive
statistics, distribution analysis, statistical hypothesis tests, analysis of
variance (ANOVA), linear regression and time series analysis. Practical
exercises use special statistical software SAS from American company SAS
Institute and Excel - common software Microsoft Office.
Compulsory literature:
GARDNER, J., POWERS, B., McDOWELL, B.: Getting Started with Enterprise Guide.
Software Course Notes. SAS Institute Inc. USA, 2001.
GUNDERSON, A.: Interactive Statistics. [online]. USA, Prentice Hall, 2002. HTML
format.
TRUXILLO, C. Statistical Analysis Using Enterprise Guide. Software Course
Notes. SAS Institute Inc. USA, 2001.
Elementary Concepts in Statistics. [online]. Stat Soft Inc, 1984-2003. www:
Recommended literature:
Way of continuous check of knowledge in the course of semester
E-learning
Other requirements
Prerequisities
Subject has no prerequisities.
Co-requisities
Subject has no co-requisities.
Subject syllabus:
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Conditions for subject completion
Occurrence in study plans
Occurrence in special blocks
Assessment of instruction
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