342-0577/03 – Methods of Transport Prognostics (MDP)

Gurantor departmentInstitute of TransportCredits4
Subject guarantordoc. Ing. Michal Dorda, Ph.D.Subject version guarantordoc. Ing. Michal Dorda, Ph.D.
Study levelundergraduate or graduateRequirementCompulsory
Year1Semestersummer
Study languageCzech
Year of introduction2013/2014Year of cancellation2023/2024
Intended for the facultiesFSIntended for study typesFollow-up Master
Instruction secured by
LoginNameTuitorTeacher giving lectures
DOR028 doc. Ing. Michal Dorda, Ph.D.
Extent of instruction for forms of study
Form of studyWay of compl.Extent
Full-time Graded credit 2+2
Part-time Graded credit 8+4

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:

Briš,R.-Škňouřilová,P.:Statistics I. VŠB-TU Ostrava, 2007. Hill,T.-Lewicki,P.: Statistics : methods and applications : a comprehensive reference for science, insdustry and data mining. StatSoft, Tulsa, 2006, 832 pp. ISBN 1-884233-59-7.

Recommended literature:

Briš,R.-Škňouřilová,P.:Statistics I. VŠB-TU Ostrava, 2007. Hill,T.-Lewicki,P.: Statistics : methods and applications : a comprehensive reference for science, insdustry and data mining. StatSoft, Tulsa, 2006, 832 pp. ISBN 1-884233-59-7.

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

No other requirements on students are defined.

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

Full-time form (validity from: 2019/2020 Summer semester, validity until: 2023/2024 Summer semester)
Task nameType of taskMax. number of points
(act. for subtasks)
Min. number of pointsMax. počet pokusů
Graded credit Graded credit 100  51 3
Mandatory attendence participation: Written test

Show history

Conditions for subject completion and attendance at the exercises within ISP:

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Occurrence in study plans

Academic yearProgrammeBranch/spec.Spec.ZaměřeníFormStudy language Tut. centreYearWSType of duty
2020/2021 (N2301) Mechanical Engineering (2301T003) Transport Equipment and Technology (40) Air Transport P Czech Ostrava 1 Compulsory study plan
2019/2020 (N2301) Mechanical Engineering (2301T003) Transport Equipment and Technology (40) Air Transport P Czech Ostrava 1 Compulsory study plan

Occurrence in special blocks

Block nameAcademic yearForm of studyStudy language YearWSType of blockBlock owner

Assessment of instruction

Předmět neobsahuje žádné hodnocení.