342-0577/01 – Methods of Transport Prognostics (MDP)
| Gurantor department | Institute of Transport | Credits | 3 |
| Subject guarantor | doc. Ing. Michal Dorda, Ph.D. | Subject version guarantor | doc. Ing. Michal Dorda, Ph.D. |
| Study level | undergraduate or graduate | Requirement | Compulsory |
| Year | 1 | Semester | summer |
| | Study language | Czech |
| Year of introduction | 2004/2005 | Year of cancellation | 2009/2010 |
| Intended for the faculties | FS | Intended for study types | Follow-up Master |
Subject aims expressed by acquired skills and competences
The student will get acquainted with selected types of traffic surveys and their evaluation. We will also get acquainted with the issue of measuring dependencies, ie regression and correlation analysis, analysis of time series suitable for forecasting. He will be able to apply these methods to practical tasks.
Teaching methods
Lectures
Tutorials
Summary
The course deals with general prognostic methods and methods specialized for transport. Attention is paid to methods of processing random vectors and the issue of dependencies between its components. The course also includes issues of regression and correlation analysis, time series analysis and other suitable tools.
Compulsory literature:
Recommended literature:
Way of continuous check of knowledge in the course of semester
Průběžná písemka - celkem max. 40 b
Zápočtová písemka - celkem max. 60 b.
.
E-learning
Other requirements
Prerequisities
Subject has no prerequisities.
Co-requisities
Subject has no co-requisities.
Subject syllabus:
1) Basic concepts of traffic surveys.
2) Traffic volume survey and its evaluation.
3) Random vector processing.
4) Analysis of two-way tables.
5) Correlation analysis - Pearson and Spearman correlation coefficient.
6) Introduction to regression analysis.
7) Introduction to time series, trend analysis of time series.
8) Selected methods of traffic prognosis.
Conditions for subject completion
Occurrence in study plans
Occurrence in special blocks
Assessment of instruction
Předmět neobsahuje žádné hodnocení.