Course detail

Processing of Vehicle Data

FSI-QD0Acad. year: 2019/2020

Overview of function and limitations of measuring equipment in the field of transport means. Analysis of physical causes of selected events and explanation of selected mathematical procedures. Examples from the practical use of the Matlab and Simulink programming environments.

Language of instruction

Czech

Number of ECTS credits

2

Mode of study

Not applicable.

Guarantor

Ing. Lubor Zháňal, Ph.D.

Department

Institute of Automotive Engineering (ÚADI)

Learning outcomes of the course unit

Understanding measurement issues, obtaining and processing valid data, evaluating individual variables and their interdependencies, objectivizing their influence on the behavior of the whole system (vehicles), algorithmic thinking.

Prerequisites

Mathematics, Physics, Informatics

Co-requisites

Not applicable.

Planned learning activities and teaching methods

The course is taught through computer-aided exercises which are focused on practical topics.

Assesment methods and criteria linked to learning outcomes

Participation in seminar, solve of problems and answers on control questions.

Course curriculum

Not applicable.

Work placements

Not applicable.

Aims

Students will be introduced to modern methods of computer processing and evaluation of data, practical application of measuring techniques and the basics of automation.

Specification of controlled education, way of implementation and compensation for absences

Elaboration of examples with teacher assistance, independent projects, answers to control questions

Recommended optional programme components

Not applicable.

Prerequisites and corequisites

Not applicable.

Basic literature

Hendl, J.: Přehled statistických metod: analýza a metaanalýza dat. Portál, Praha, 2012. (CS)

Recommended reading

Zaplatílek, K., Doňar, B.: MATLAB pro začátečníky. BEN-Technická literatura, 2005. (CS)

Elearning

eLearning: currently opened course

Classification of course in study plans

  • Programme M2I-P Master's

    branch M-ADI , 1 year of study, summer semester, elective (voluntary)
    branch M-ADI , 2 year of study, summer semester, elective (voluntary)
    branch M-ADI , 1 year of study, summer semester, elective (voluntary)

Type of course unit

 

Computer-assisted exercise

26 hod., compulsory

Teacher / Lecturer

Ing. Jan Fojtášek, Ph.D.
Ing. Lubor Zháňal, Ph.D.

Syllabus

1. Types and principles of sensors of basic physical quantities
2. Data loggers
3. Global positioning systems
4. Signal disturbances and distortion
5-6. Introduction to Programming in Matlab
7-8. Digital filters
9-10. Statistical analysis
11. Data visualization
12-13. Simulink and basics of automation

Elearning

eLearning: currently opened course