548-0145/02 – Cloud Services in Geoinformatics (VCSG)

Gurantor departmentDepartment of GeoinformaticsCredits5
Subject guarantorIng. Pavel Kukuliač, Ph.D.Subject version guarantorIng. Pavel Kukuliač, Ph.D.
Study levelundergraduate or graduateRequirementChoice-compulsory type B
Study languageEnglish
Year of introduction2021/2022Year of cancellation
Intended for the facultiesHGFIntended for study typesFollow-up Master
Instruction secured by
LoginNameTuitorTeacher giving lectures
KUK064 Ing. Pavel Kukuliač, 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

Students will be able to evaluate cloud computing resources, and use Esri and open source web GIS technologies. Students will be able to evaluate cloud computing technologies in terms of their essential characteristics such as network access, on-demand self-service, resource pooling, elasticity, and measured service, and in terms of their service models, typically categorized as Cloud Software as a Service (SaaS), Cloud Platform as a Service (PaaS), or Cloud Infrastructure as a Service (IaaS).

Teaching methods



By completing the course, students will gain the knowledge and skills needed to set up cloud services for creating maps, cloud services for managing spatial data, and cloud services for processing spatial data. This course teaches students to use cloud and server GIS resources to solve problems for which geospatial data is an integral element. Students get acquainted in more detail with three cloud service models and their implementation (infrastructure services, platform services, and software services).

Compulsory literature:

D. Robinson. Amazon web services made simple. Learn how Amazon EC2, S3, SimpleDB a SQS Web services enables you to reach bussiness golas faster. 2008. H., Nasser. Administering ArcGIS for Server. Installing and configuring ArcGIS for Server to publish, optimize, and secure GIS services. Packt Publishing Ltd., 2014, pages 246, ISBN 9781782177364. M., Stigler. Beginning Serverless Computing. Developing with Amazon Web Services, Microsoft Azure, and Google Cloud. Apress; 1st ed. edition, 2018, pages 207, ISBN 9781484230831. S., A. Karthikeyan. Practical Microsoft Azure IaaS Migrating and Building Scalable and Secure Cloud Solutions. Apress; 1st ed. edition, 2018, pages 325, ISBN 1484237625.

Recommended literature:

JJ., Geewax. Google Cloud Platform in Action. Manning Publications, 2018, pages 632,ISBN 1617293520. R., Lee. Big Data, Cloud Computing, Data Science & Engineering. Studies in Computational Intelligence Springer International Publishing, 1st ed., 2019, pages 196, ISBN 9783319968025. M., Lanham. Practical AI on the Google Cloud Platform. Learn how to use the latest AI cloud services on the google cloud platform. O'Reilly, 2020. ISBN 9781492075745. P., Riti. Pro DevOps with Google Cloud Platform: With Docker, Jenkins, and Kubernetes. Apress; 1st ed. edition, 2018, pages 278, ISBN 1484238966.

Way of continuous check of knowledge in the course of semester

Students' knowledge acquisition is continuously verified during lessons. Students work on individual projects within which they demonstrate the acquired knowledge. At the end of the semester, students present their projects and defend the chosen procedures and technologies. Students' knowledge is tested by a written exam at the end of the semester.


Other requirements

No additional requirements are imposed on the student.


Subject has no prerequisities.


Subject has no co-requisities.

Subject syllabus:

1) Basics of cloud computing 2) Introduction to Cloud and Server GIS 3) Amazon Web Services (AWS) - Cloud Computing Services 4) Amazon Web Services (AWS) - Basic Architecture 5) ArcGIS Server up and running on Amazon EC2 6) Cloud-based databases and ArcGIS Server connection 7) Map design and vector tile services using Mapbox 8) Thematic mapping services with CARTO 9) Web maps and data as services using ArcGIS Online 10) GIS as a service using ArcGIS Online 11) QGIS cloud 12) Cloud Software as a Service (SaaS) 13) Cloud Platform as a Service (PaaS) and Cloud Infrastructure as a Service (IaaS)

Conditions for subject completion

Full-time form (validity from: 2021/2022 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  17
        Examination Examination 67 (67) 18 3
                Written part of exam Written examination 52  18
                Oral part of exam Oral examination 15  0
Mandatory attendence participation: Lectures optional, exercises 80%.

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Conditions for subject completion and attendance at the exercises within ISP: Lectures for self-study of course material available at https://geoinformatika-1.vsb.cz/kuk064/. Consulations with the lecturer can be held online or in person. Participation in exercises according to the student's availability. To obtain credits, the student must complete and hand-in a final project assigned by the instructor no later than the end of the examination period of the semester. The exam must be taken in person.

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Occurrence in study plans

Academic yearProgrammeBranch/spec.Spec.ZaměřeníFormStudy language Tut. centreYearWSType of duty
2024/2025 (N0532A330044) Geoinformatics P English Ostrava 1 Choice-compulsory type B study plan
2023/2024 (N0532A330044) Geoinformatics P English Ostrava 1 Choice-compulsory type B study plan

Occurrence in special blocks

Block nameAcademic yearForm of studyStudy language YearWSType of blockBlock owner

Assessment of instruction

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