545-0137/01 – Visualization of Data and Processes (VDP)

Gurantor departmentDepartment of Economics and Control SystemsCredits5
Subject guarantorIng. Filip Beneš, Ph.D.Subject version guarantorIng. Filip Beneš, Ph.D.
Study levelundergraduate or graduateRequirementCompulsory
Year3Semestersummer
Study languageCzech
Year of introduction2015/2016Year of cancellation
Intended for the facultiesFS, HGFIntended for study typesBachelor
Instruction secured by
LoginNameTuitorTeacher giving lectures
BEN170 Ing. Filip Beneš, Ph.D.
SVU008 Ing. Jiří Švub, Ph.D.
Extent of instruction for forms of study
Form of studyWay of compl.Extent
Full-time Credit and Examination 2+2
Part-time Credit and Examination 8+8

Subject aims expressed by acquired skills and competences

The aim of the course is to acquaint students with the issues associated with the visualization of data and processes. Furthermore, topics related to individual techniques, methods and tools for displaying data and processes will be discussed. Students will also get acquainted with the basic concepts of graph theory and its application in displaying the structure of the system. In this course, students will be introduced to tools for capturing system dynamics and SCADA and HMI tools, as support for the creation of digital twins of technological operations in the emerging trends of Industry 4.0.

Teaching methods

Lectures
Tutorials

Summary

The course introduces students to the issues associated with the visualization of data and processes. The course reflects the requirements of practice in the field of technology used. Graduates of the course will gain a basic overview of methods of data visualization and processes in the context of today and the trends of modern industry.

Compulsory literature:

KIRK, Andy. Data visualisation: a handbook for data driven design. 2nd Edition. Los Angeles: Sage Publications, 2016. ISBN 978-1-5264-6892-5.

Recommended literature:

SLAMA, Dirk, Frank PUHLMANN, Jim MORRISH a Rishi M. BHATNAGAR. Enterprise IoT. Sebastopol: O'Reilly, 2015. ISBN 978-1-491-92483-9. WILKE, Claus. Fundamentals of data visualization: a primer on making informative and compelling figures. Sebastopol, CA: O’Reilly, 2019. ISBN 978-1-492-03108-6.

Additional study materials

Way of continuous check of knowledge in the course of semester

Final written test, elaboration of semestral work, final exam.

E-learning

https://lms.vsb.cz/

Other requirements

At least 70% attendance at the exercises. Absence, up to a maximum of 30%, must be excused and the apology must be accepted by the teacher (the teacher decides to recognize the reason for the excuse). Tasks assigned on the exercises must be hand in within the dates set by the teacher. The course ends with an oral and written part of the exam.

Prerequisities

Subject has no prerequisities.

Co-requisities

Subject has no co-requisities.

Subject syllabus:

1.Basics of computer graphics 2.Methods, techniques and tools for displaying data and processes 3.Thought maps and diagrams 4.Multimedia visualization of data and processes 5.Data visualization using augmented and virtual reality 6.Basic concepts of graph theory to show the structure of the system. 7.Application of graph theory in project management, CPM method. 8.Data visualization in project management systems 9.Simulation and modeling tools 10.Basics and terminology of Petri nets 11.Dynamics of Petri nets 12.SCADA and HMI systems 13.Architecture of control systems of technological units 14.Data analysis and visualization, Business Intelligence, Big Data, presentation and data visualization, graphs

Conditions for subject completion

Part-time form (validity from: 2016/2017 Winter semester)
Task nameType of taskMax. number of points
(act. for subtasks)
Min. number of pointsMax. počet pokusů
Credit and Examination Credit and Examination 100 (100) 51
        Credit Credit 33 (33) 17
                Semestrální projekt Semestral project 33  17
        Examination Examination 67  18 3
Mandatory attendence participation: 80% participation

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Conditions for subject completion and attendance at the exercises within ISP: Preparation and defense of the semester work

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Occurrence in study plans

Academic yearProgrammeBranch/spec.Spec.ZaměřeníFormStudy language Tut. centreYearWSType of duty
2024/2025 (B1041A040008) Intelligent transport and logistics TD P Czech Ostrava 3 Compulsory study plan
2020/2021 (B2102) Mineral Raw Materials (3902R064) System Engineering in Industry K Czech Most 3 Compulsory study plan
2020/2021 (B2102) Mineral Raw Materials (3902R064) System Engineering in Industry P Czech Ostrava 3 Compulsory study plan
2019/2020 (B2102) Mineral Raw Materials (3902R064) System Engineering in Industry P Czech Ostrava 3 Compulsory study plan
2019/2020 (B2102) Mineral Raw Materials (3902R064) System Engineering in Industry K Czech Most 3 Compulsory study plan
2018/2019 (B2102) Mineral Raw Materials (3902R064) System Engineering in Industry P Czech Ostrava 3 Compulsory study plan
2018/2019 (B2102) Mineral Raw Materials (3902R064) System Engineering in Industry K Czech Ostrava 3 Compulsory study plan
2018/2019 (B2102) Mineral Raw Materials (3902R064) System Engineering in Industry K Czech Most 3 Compulsory study plan
2017/2018 (B2102) Mineral Raw Materials (3902R064) System Engineering in Industry P Czech Ostrava 3 Compulsory study plan
2017/2018 (B2102) Mineral Raw Materials (3902R064) System Engineering in Industry K Czech Ostrava 3 Compulsory study plan
2017/2018 (B2102) Mineral Raw Materials (3902R064) System Engineering in Industry K Czech Most 3 Compulsory study plan
2016/2017 (B2102) Mineral Raw Materials (3902R064) System Engineering in Industry P Czech Ostrava 3 Compulsory study plan
2016/2017 (B2102) Mineral Raw Materials (3902R064) System Engineering in Industry K Czech Ostrava 3 Compulsory study plan
2016/2017 (B2102) Mineral Raw Materials (3902R064) System Engineering in Industry K Czech Most 3 Compulsory study plan

Occurrence in special blocks

Block nameAcademic yearForm of studyStudy language YearWSType of blockBlock owner

Assessment of instruction



2017/2018 Summer