Basic information
- Field of study
- Geospatial Computer Science
- Major
- Modeling environment information
- Organisational unit
- Faculty of Geo-Data Science, Geodesy, and Environmental Engineering
- Study level
- Second-cycle (engineer) programme
- Form of study
- Full-time studies
- Profile
- General academic
- Didactic cycle
- 2023/2024
- Course code
- DGEIMIS.IIi4.07189.23
- Lecture languages
- English
- Mandatoriness
- Elective
- Block
- Elective Modules in Foreign Language
- Course related to scientific research
- Yes
|
Period
Semester 3
|
Method of verification of the learning outcomes
Completing the classes
Activities and hours
Lectures:
15
Project classes: 30 |
Number of ECTS credits
3
|
Goals
| C1 | The course aims to equip students with the knowledge and skills needed to effectively share GIS data using various network techniques, and to be able to design, develop, and implement web-based GIS applications that enable data sharing and collaboration. It will cover topics such as data sharing protocols, web mapping, and the use of online GIS platforms for collaboration and data sharing. |
Course's learning outcomes
| Code | Outcomes in terms of | Learning outcomes prescribed to a field of study | Methods of verification |
| Knowledge – Student knows and understands: | |||
| W1 | Knowledge of possible usages of network protocols and Web applications for GIS data sharing. | GEI2A_W02, GEI2A_W05 | Test |
| Skills – Student can: | |||
| U1 | The skill of using Python language for writing network applications. | GEI2A_U02 | Project |
| U2 | The skill of Web services configuration through network protocols. | GEI2A_U03 | Test |
| Social competences – Student is ready to: | |||
| K1 | Familiarity with new technologies used in data sharing. | GEI2A_K03 | Activity during classes |
Program content ensuring the achievement of the learning outcomes prescribed to the module
Student workload
| Activity form | Average amount of hours* needed to complete each activity form | |
| Lectures | 15 | |
| Project classes | 30 | |
| Realization of independently performed tasks | 30 | |
| Examination or final test/colloquium | 2 | |
| Contact hours | 1 | |
| Student workload |
Hours
78
|
|
| Workload involving teacher |
Hours
45
|
|
* hour means 45 minutes
Program content
| No. | Program content | Course's learning outcomes | Activities |
| 1. |
Lectures content: Introduction to WebGIS - definitions, history, significance, and applications. Architecture of WebGIS systems - client-server, online map services, cloud computing. Introduction and overview of popular map servers and geospatial services (WMS, WFS, WCS, WMTS). WebGIS application design methodologies - from idea to product. Security and performance aspects of WebGIS applications. Trends and the future in WebGIS - mobile applications, integration with remote sensing systems, big data. |
W1, K1 | Lectures |
| 2. |
Project classes content: Analysis of existing WebGIS solutions in terms of functionality, usability, used technologies, and available data (including identification of used technologies such as map servers, databases, front-end frameworks). Designing and implementing a simple web application (vector and raster data). Spatial database design and implementation (PostGIS, PostgreSQL, others). Integration of map services with the web application. Installation and configuration of a selected map server, importing spatial data, configuring services (WMS, WFS, WCS), defining styles for provided layers. |
U1, U2, K1 | Project classes |
Extended information/Additional elements
Teaching methods and techniques :
Classes partially supported by e-learning tools conducted in the UPEL, BigBlueButton, or MS Teams environment., Team Based Learning, Workshop, Problem Based Learning, Design thinking, Discussion, Classes partially supported by e-learning tools conducted in the UPEL, BigBlueButton, or MS Teams environment., E-learning, Lectures, Classes partially supported by e-learning tools conducted in the UPEL, BigBlueButton, or MS Teams environment.
| Activities | Methods of verification | Credit conditions |
|---|---|---|
| Lectures | Activity during classes, Test | positive grade |
| Project classes | Activity during classes, Test, Project | positive grade |
Conditions and the manner of completing each form of classes, including the rules of making retakes, as well as the conditions for admission to the exam
To be allowed to take the exam, all projects must be passed.
Method of determining the final grade
Evaluation is subject to the manner of execution and presentation of project.
Manner and mode of making up for the backlog caused by a student justified absence from classes
Compensating for the backlog caused by absence: depending on the classes subject – self-realisation of excercises with the help of individual consultations with the instructor.
Prerequisites and additional requirements
Ability to understand English.
Computer usage knowledge.
Basic Python language familiarity.
Ability to use a web browser.
Rules of participation in given classes, indicating whether student presence at the lecture is obligatory
Lectures: students participate in the class by learning the subsequent teaching content according to the course syllabus. Students should ask questions and clarify doubts on an ongoing basis. Audio-visual recording of the lecture requires the consent of the instructor.
Project classes: students perform in teams projects aimed at achieving the competencies assumed by the syllabus.
Literature
Obligatory- 1. Ward Brian : “How Linux Works, 2nd edition”, 2015
- 2. Dawson Michael: “Python Programming for Absolute beginner, 3rd edition”. 2010
- 3. Python documentation: http://pl.python.org
- 4. Documentation for projects: Linux, Apache, WSGI
Scientific research and publications
Publications- K. Pyka, M. Twardowski: "Miejsce wolnego oprogramowania w nauczaniu geoinformatyki". Archiwum Fotogrametrii, Kartografii i Teledetekcji. 2007.
- Twardowski M., Pastucha E., Kolecki J., 2016: Performance of the automatic bundle adjustment in the virtualized environment
- Hejamnowska B., Twardowski M., Żądło A., 2021: An application of the “traffic lights” idea to crop control in integrated administration control system
- Rzonca A., Twardowski M., 2022, The lidargrammetric model deformation method for altimetric UAV-ALS data enhancement