548-0128/01 – Spatial Database Systemy 1 (PDBS1)

Gurantor departmentDepartment of GeoinformaticsCredits6
Subject guarantorprof. Ing. Jiří Horák, Dr.Subject version guarantorprof. Ing. Jiří Horák, Dr.
Study levelundergraduate or graduateRequirementCompulsory
Year1Semestersummer
Study languageCzech
Year of introduction2020/2021Year of cancellation
Intended for the facultiesHGFIntended for study typesBachelor
Instruction secured by
LoginNameTuitorTeacher giving lectures
HOR10 prof. Ing. Jiří Horák, Dr.
ILE0008 Ing. Marek Ilenčík
KOL0339 Ing. Ondřej Kolodziej
JUR02 Ing. Lucie Orlíková, Ph.D.
ZAJ0084 Ing. Martin Zajac
Extent of instruction for forms of study
Form of studyWay of compl.Extent
Full-time Credit and Examination 2+3
Part-time Credit and Examination 8+12

Subject aims expressed by acquired skills and competences

The aim of the subject is to educate students basic concepts of data modelling, data design and application of databases, focused on spatial databases, enable them to independently design spatial databases and utilize them for solving of different tasks.

Teaching methods

Lectures
Tutorials

Summary

The course will deliver basic knowledge about database systems focused on spatial data and spatial database systems. After explanation of basic concepts of automated data processing and principles of database processing, data modelling principles are read focused on ERA and UML diagrams. Variants and approaches of internal data storage are presented. The important part of lessons are dedicated to relational databases and understanding of basic concepts of their applications. A key role is given to SQL. After explanation of object-oriented databases systems, NoSQL databases are introduced with review of their types. Finally, main approaches for storing spatial data into databases are explained, as well as spatial querying, spatial operators and architectures of spatial database systems.

Compulsory literature:

Revesz, P. Introduction to Databases: From Biological to Spatio-Temporal. 2010. Springer; ISBN 1447125339. Churcher, Clare. Beginning Database Design. Berkeley, CA: Apress, 2007. ISBN 9781590597699. Teorey T., Lightstone S., Nadeau T: Database modelling and design: Logical design. Elsevier. ISBN 978-0-12-685352-0 Yeung A.K.W, Hall G.B: Spatial Database Systems. Desing, Implementation and Project Management. Springer, Dordrecht, 2007. ISBN 10-1-4020-5393-2. 553 pages.

Recommended literature:

Manolopoulos Y., Papadopoulos, Vassilakopoulos M.: Spatial Databases: Technologies, Techniques, Trends. Idea Group Publishing. 340 stran, Hershey, 2005. ISBN 1-59140-387-1. Adam Nabil R., Gangopadhyay Aryya: Database Issues in Geographic Information Systems. Kluwer, 2.vydání, 1998. Rigaux P., Scholl M., Voisard A.: Spatial Databases with Application to GIS. Kaufmann, San Francisco, 2002. ISBN 1-55860-588-6. 410 pages. Rajaraman A., Ullman J., 2011. Mining of Massive Datasets. Cambridge University Press. ISBN 9781107015357.

Way of continuous check of knowledge in the course of semester

Students are asked about knowledge from areas that they should have already known from previous lectures. They also work on individual tasks and must pass writing and oral exam.

E-learning

Other requirements

No additional requirements are imposed on the student.

Prerequisities

Subject has no prerequisities.

Co-requisities

Subject has no co-requisities.

Subject syllabus:

1) Reality modelling, data processing. Advantages of DB technology. 2) Information system. Classification of information systems. 3) Database system. DBMS and its role. 4) Conceptual scheme. ERA diagram. UML class diagram. 5) Review of data types. Internal forms of data storage. 6) Relational data model. RDBMS and requirements. 7) Keys, integrity constraints. Functional dependency. Normalisation process. 8) Querying in RDBMS. Relational algebra. SQL. QBE. 9) SQL. QBE. 10) Object-oriented DBMS. NoSQL databases 11) Concepts of storage spatial data in databases. 12) Spatial querying, spatial operators according to OGC. 13) Architecture of spatial DBS. Application of spatial databases

Conditions for subject completion

Part-time form (validity from: 2020/2021 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
                samostatný projekt Project 33  17
        Examination Examination 67 (67) 18 3
                písemná zkouška Written examination 50  18
                ústní zkouška Oral examination 17  0
Mandatory attendence participation: Individual project. Written and oral examination.

Show history

Conditions for subject completion and attendance at the exercises within ISP: Materials for an individual study are available at http://homel.vsb.cz/~hor10/Vyuka/ where you can find also topics for the exam. Consultations (both personal and online) with the lecturer are possible. The exercises are individual based on a semester project which has to be completed to the end of the exam period for the given semester. The exam is conducted only in person.

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Occurrence in study plans

Academic yearProgrammeBranch/spec.Spec.ZaměřeníFormStudy language Tut. centreYearWSType of duty
2024/2025 (B0532A330034) Geoinformatics GIT K Czech Ostrava 1 Compulsory study plan
2024/2025 (B0532A330034) Geoinformatics GIT P Czech Ostrava 1 Compulsory study plan
2023/2024 (B0532A330034) Geoinformatics GIT K Czech Ostrava 1 Compulsory study plan
2023/2024 (B0532A330034) Geoinformatics GIT P Czech Ostrava 1 Compulsory study plan
2022/2023 (B0532A330034) Geoinformatics GIT P Czech Ostrava 1 Compulsory study plan
2022/2023 (B0532A330034) Geoinformatics GIT K Czech Ostrava 1 Compulsory study plan
2021/2022 (B0532A330034) Geoinformatics GIT K Czech Ostrava 1 Compulsory study plan
2021/2022 (B0532A330034) Geoinformatics GIT P Czech Ostrava 1 Compulsory study plan

Occurrence in special blocks

Block nameAcademic yearForm of studyStudy language YearWSType of blockBlock owner

Assessment of instruction



2021/2022 Summer