548-0141/01 – Programming in GIS 4 (PvGIS4)

Gurantor department	Department of Geoinformatics	Credits	5
Subject guarantor	doc. RNDr. Jan Caha, Ph.D.	Subject version guarantor	doc. RNDr. Jan Caha, Ph.D.
Study level	undergraduate or graduate	Requirement	Compulsory
Year	1	Semester	winter
		Study language	Czech
Year of introduction	2021/2022	Year of cancellation
Intended for the faculties	HGF	Intended for study types	Follow-up Master

Instruction secured by
Login	Name	Tuitor	Teacher giving lectures
CAH0021	doc. RNDr. Jan Caha, Ph.D.
KUK064	Ing. Pavel Kukuliač, Ph.D.
RUZ02	Ing. Kateřina Růžičková, Ph.D.

Extent of instruction for forms of study
Form of study	Way 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 teach students to create their own tools (plugins) for QGIS software in Python. Students gain following skills: - installation and setup of open-source GIS tools (QGIS, GDAL) with Python API - QGIS using via Python console - creation of tools for QGIS in Python with qgis.core objects - creating of own plugin for QGIS - creating tests for own plugin - creation of graphical user interface for Python tools within QGIS

Teaching methods

Lectures
Tutorials

Summary

Course is focusing on developing own tools (plugins) in Python language for software QGIS while using QGIS API. Students will be introduced to possibilities of data processing automation while using QGIS functionality and will learn how to develop tools for these purposes.

Compulsory literature:

LAWHEAD, J.: QGIS Python Programming Cookbook. Birmingham: Packt Publishing Ltd. 2015. ISBN 1-78398-498-8. GRASER, A., OLAYA, V.: Processing: A Python Framework for the Seamless Integration of Geoprocessing Tools in QGIS. ISPRS International Journal of Geo-Information, 4(4), 2219-2245, doi:10.3390/ijgi4042219. 2015. GRASER, A.: Learning QGIS. Third edition. Birmingham: Packt Publishing Ltd. 2016. ISBN 978-1-78588-033-9. PyQGIS Developer Cookbook. Available online from: https://docs.qgis.org/3.16/en/docs/pyqgis_developer_cookbook/index.html

Recommended literature:

QGIS API Documentation. https://qgis.org/api/modules.html CUTTS, A., GRASER, A. Learn QGIS: your step-by-step guide to the fundamental of QGIS 3.4. 4th edition. Birmingham: Packt Publishing Ltd. 2018. ISBN 978-1-78899-742-3. GRASER, A., MANDEL, A., FERRERO, V., BRUY, A., MEARNS, B.: QGIS: Becoming a GIS Power User. Birmingham: Packt Publishing. 2017. ISBN 978-1-78829-972-5. MENKE, K., SMITH, R., PIRELLI, L., VAN HOESEN, J.: Mastering QGIS. Second Edi. Birmingham: Packt Publishing Ltd. 2016. ISBN 978-1-78646-037-0.

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 work on individual project. Written 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. PyCharm IDE, installation and setup of open-source GIS tools (QGIS, GDAL) with Python API 2. Python in QGIS - Models, Scripts, GUI 3. QGIS usage via Python console 4. Creation of tools for QGIS in Python (Scripts) - tool structure, basic data processing 5. QGIS API - division, main parts - modules qgis.core, qgis.analysis, qgis.processing 6. Basic objects for creating tools from the qgis.core module 7. Creating tools for QGIS in Python with qgis.core objects - introduction, basic elements of the interface 8. Creating tools for QGIS in Python with qgis.core objects - vector data 9. Creating tools for QGIS in Python with qgis.core objects - raster data 10. Plugin creation - structure, requisites, tools for creation 11. Creating tests (Python module unittest) for own plugin 12. Creating more complex GUIs for Python tools within QGIS 13. Python programs using QGIS API without direct access to QGIS

Conditions for subject completion

Part-time form (validity from: 2021/2022 Winter semester)

Task name	Type of task	Max. number of points (act. for subtasks)	Min. number of points	Max. 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

Valid from	Valid until	Mandatory attendence participation
Feb 23, 2021 2:24:50 PM	Nov 11, 2022 11:00:45 PM	Optional lectures, practice 80%

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 year	Programme	Zaměření	Form	Study language	Tut. centre	Year	Type of duty
2024/2025	(N0532A330039) Geoinformatics	GIT	K	Czech	Ostrava	1	Compulsory	study plan
2024/2025	(N0532A330039) Geoinformatics	GIT	P	Czech	Ostrava	1	Compulsory	study plan
2023/2024	(N0532A330039) Geoinformatics	GIT	K	Czech	Ostrava	1	Compulsory	study plan
2023/2024	(N0532A330039) Geoinformatics	GIT	P	Czech	Ostrava	1	Compulsory	study plan
2022/2023	(N0532A330039) Geoinformatics	GIT	P	Czech	Ostrava	1	Compulsory	study plan
2022/2023	(N0532A330039) Geoinformatics	GIT	K	Czech	Ostrava	1	Compulsory	study plan

Occurrence in special blocks

Block name	Academic year	Form of study	Study language	Year	W	S	Type of block	Block owner

Assessment of instruction

2023/2024 Winter

2022/2023 Winter