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Transport Prognostic Methods

Course Code:
11MDP
Academic Degree:
bachelor
Study Programme:
Technology in Transportation and Telecommunications (B1041A040001)
semesterlanguagestudy field / specialization
4czech flagLOG Logistics and Transport Processes Control - B-LOG
Form of Study:
full-time and part-time
Credits:
2
Number of Hours:
2 + 0 hours per week - in full-time study
10 hours per semester - in part-time study
Type of Course:
obligatory
Course Completion:
classified credit
Supervisor:
Ing. Alena RYBIČKOVÁ, Ph.D.
Course Tutor:
 
Department of Applied Mathematics (16111)
Supervising Department:
Department of Applied Mathematics (16111)
Keywords:
Analysis of dependencies, time series, index analysis
Abstract:
The techniques of economical analysis in the domain of analysis of dependencies, analysis and construction of time series and comparsion of statistical values using differencies and indices.
Objectives:
Introduce to the students basic techniques of economical analysis and teach them how to use basic software tools in this field of studies.