300170 VO Introduction to Geodata and Spatial Analysis (2026S)
Labels
REMOTE
Registration/Deregistration
Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).
Details
Language: German
Examination dates
- Wednesday 29.04.2026 18:00 - 18:15 Digital
- Monday 01.06.2026 08:00 - 08:15 Digital
- N Wednesday 17.06.2026 18:00 - 18:15 Digital
- Thursday 25.06.2026 12:00 - 12:15 Digital
Lecturers
Classes
whole course is self-e-learning on platform Moodle
modlues open in chronological order during March 2026
Information
Aims, contents and method of the course
Assessment and permitted materials
Assessment is via a non-continuous course examination as an online multiple-choice test on Moodle. Multiple examination dates are offered during the semester; registration is required for each date .Component
- Online multiple-choice test (Moodle), duration: 15 minutesGrading
- Maximum attainable points: 30
- Grading scale:
- 26–30 points: Excellent
- 23–25 points: Good
- 20–22 points: Satisfactory
- 18–19 points: Pass
- 0–17 points: FailPermitted aids
- Open-book in the narrow sense: Only the materials provided in the Moodle course are allowed (slides/handouts, script and source references, course materials where applicable).
- What is not explicitly allowed is prohibited .Non-permitted aids and actions
- Collaboration or consultation with third parties during the test
- Sharing or publishing exam questions and content
- Use of AI tools to answer questions
- Any external materials/tools not provided in the courseRegulation on the use of AI tools
- AI tools are not permitted for completing the test. For general course preparation, the university’s AI guidelines apply; for examinations in this course, use is expressly prohibited .Random oral plausibility check
- Purpose and announcement: For quality assurance, the course leader may schedule a brief oral plausibility check after the online test, randomly and without specific suspicion. The purpose is to verify whether answers were understood and produced independently. The oral follow-up will be announced no later than four weeks after the test and conducted within this period; students are required to cooperate .
- Content and format: Explanation of selected answers, key terms, methods, or calculation steps; scheduling via Moodle (University of Vienna videoconference).
- Documentation: The conversation is recorded in a protocol and attached to the examination record .
- Consequences: If a suspicion of unauthorised aids is confirmed or there is no cooperation, an “X” may be entered in u:space with the grade submission; students may request deletion of the exam attempt from the transcript within four weeks (Office of the Director of Studies) .Opportunities to improve
- Multiple examination dates are offered. Re-sitting is possible after a negative grade; registration/deregistration in time via u:space .
- Practice test: A Moodle practice test is available for self-preparation (not part of the assessment).
- Online multiple-choice test (Moodle), duration: 15 minutesGrading
- Maximum attainable points: 30
- Grading scale:
- 26–30 points: Excellent
- 23–25 points: Good
- 20–22 points: Satisfactory
- 18–19 points: Pass
- 0–17 points: FailPermitted aids
- Open-book in the narrow sense: Only the materials provided in the Moodle course are allowed (slides/handouts, script and source references, course materials where applicable).
- What is not explicitly allowed is prohibited .Non-permitted aids and actions
- Collaboration or consultation with third parties during the test
- Sharing or publishing exam questions and content
- Use of AI tools to answer questions
- Any external materials/tools not provided in the courseRegulation on the use of AI tools
- AI tools are not permitted for completing the test. For general course preparation, the university’s AI guidelines apply; for examinations in this course, use is expressly prohibited .Random oral plausibility check
- Purpose and announcement: For quality assurance, the course leader may schedule a brief oral plausibility check after the online test, randomly and without specific suspicion. The purpose is to verify whether answers were understood and produced independently. The oral follow-up will be announced no later than four weeks after the test and conducted within this period; students are required to cooperate .
- Content and format: Explanation of selected answers, key terms, methods, or calculation steps; scheduling via Moodle (University of Vienna videoconference).
- Documentation: The conversation is recorded in a protocol and attached to the examination record .
- Consequences: If a suspicion of unauthorised aids is confirmed or there is no cooperation, an “X” may be entered in u:space with the grade submission; students may request deletion of the exam attempt from the transcript within four weeks (Office of the Director of Studies) .Opportunities to improve
- Multiple examination dates are offered. Re-sitting is possible after a negative grade; registration/deregistration in time via u:space .
- Practice test: A Moodle practice test is available for self-preparation (not part of the assessment).
Minimum requirements and assessment criteria
Minimum requirements for a pass
- Mandatory component: Online multiple-choice test (Moodle), 15 questions worth 2 points each, total maximum 30 points.
- Partially correct answers are awarded partial points; there are no negative points.
- The test result remains valid only if students comply with any scheduled random oral plausibility check (duty to cooperate). If students fail to cooperate, the assessment can be marked accordingly under study regulations .
- There is no attendance requirement, as this is a non-continuous assessment lecture .Grading scheme
- Points:
- 15 questions × 2 points = 30 points in total
- Partially correct answers: partial points
- No negative points for wrong answers
- Grading scale:
- 26–30 points: Excellent
- 23–25 points: Good
- 20–22 points: Satisfactory
- 18–19 points: Pass
- 0–17 points: FailDependence on components:
- The positive grade depends exclusively on the result of the online test (NPI-LV).
- If an oral plausibility check is scheduled, participation is mandatory; if suspicion of unauthorised aids is confirmed or cooperation is lacking, an “X” may be set in u:space. Students may request deletion of the exam attempt from the transcript within four weeks from the Office of the Director of Studies .
- Mandatory component: Online multiple-choice test (Moodle), 15 questions worth 2 points each, total maximum 30 points.
- Partially correct answers are awarded partial points; there are no negative points.
- The test result remains valid only if students comply with any scheduled random oral plausibility check (duty to cooperate). If students fail to cooperate, the assessment can be marked accordingly under study regulations .
- There is no attendance requirement, as this is a non-continuous assessment lecture .Grading scheme
- Points:
- 15 questions × 2 points = 30 points in total
- Partially correct answers: partial points
- No negative points for wrong answers
- Grading scale:
- 26–30 points: Excellent
- 23–25 points: Good
- 20–22 points: Satisfactory
- 18–19 points: Pass
- 0–17 points: FailDependence on components:
- The positive grade depends exclusively on the result of the online test (NPI-LV).
- If an oral plausibility check is scheduled, participation is mandatory; if suspicion of unauthorised aids is confirmed or cooperation is lacking, an “X” may be set in u:space. Students may request deletion of the exam attempt from the transcript within four weeks from the Office of the Director of Studies .
Examination topics
Exam-relevant content
- All course materials provided in Moodle are exam-relevant unless explicitly marked “optional”.
- Specifically, the examination topics include:
- Video lectures and associated slides (PDF)
- Self-check questions for the respective modules/sections
- Reading references and linked resources designated as mandatory in the course or provided directly as course materials
- Other course materials (e.g., handouts, sample datasets), unless marked “optional”
- Exam-relevant materials are clearly identifiable in the Moodle course and are specified in advance for transparency .Locations in Moodle
- Course structure: Examination topics are located in the course sections/modules (each with video lecture, PDF slides, and self-check questions) and in the materials/download area.
- Clear labelling:
- Content marked “optional” is not exam-relevant.
- Forum posts (discussions/FAQ) are not exam-relevant unless designated as an official part of the course materials.Module examination
- This is an independent course examination; the online test is not a module examination.
- All course materials provided in Moodle are exam-relevant unless explicitly marked “optional”.
- Specifically, the examination topics include:
- Video lectures and associated slides (PDF)
- Self-check questions for the respective modules/sections
- Reading references and linked resources designated as mandatory in the course or provided directly as course materials
- Other course materials (e.g., handouts, sample datasets), unless marked “optional”
- Exam-relevant materials are clearly identifiable in the Moodle course and are specified in advance for transparency .Locations in Moodle
- Course structure: Examination topics are located in the course sections/modules (each with video lecture, PDF slides, and self-check questions) and in the materials/download area.
- Clear labelling:
- Content marked “optional” is not exam-relevant.
- Forum posts (discussions/FAQ) are not exam-relevant unless designated as an official part of the course materials.Module examination
- This is an independent course examination; the online test is not a module examination.
Reading list
Required reading
- selected chapters from the book "Geoinformatik in Theorie und Praxis" von Norbert de Lange, 2020 (4.Auflage), e-book im Springer Verlag are listed within the Mooddle course lectures. Access to the book is granted via University Library - you do not have to buy that book!Recommended/optional literature and resources
- Recommended materials are provided via the Moodle course. They are accessible as:
- Links to openly accessible websites (stable URLs/permalinks where available)
- Links to further sources (e.g., DOIs/permalinks) useful in the course context
- Transparent provision and clear separation between exam-relevant materials and further resources are ensured .Access routes
- Moodle: Course sections with the respective resource links
- Web: Direct links to relevant, openly accessible sources (including project documentation, specialist blogs, tutorials, documentation/standards)Delimitation
- The resources listed here serve preparation, accompaniment, and in-depth study. Only the content defined in Section 4 "Exam-relevant Content" is exam-relevant.
- selected chapters from the book "Geoinformatik in Theorie und Praxis" von Norbert de Lange, 2020 (4.Auflage), e-book im Springer Verlag are listed within the Mooddle course lectures. Access to the book is granted via University Library - you do not have to buy that book!Recommended/optional literature and resources
- Recommended materials are provided via the Moodle course. They are accessible as:
- Links to openly accessible websites (stable URLs/permalinks where available)
- Links to further sources (e.g., DOIs/permalinks) useful in the course context
- Transparent provision and clear separation between exam-relevant materials and further resources are ensured .Access routes
- Moodle: Course sections with the respective resource links
- Web: Direct links to relevant, openly accessible sources (including project documentation, specialist blogs, tutorials, documentation/standards)Delimitation
- The resources listed here serve preparation, accompaniment, and in-depth study. Only the content defined in Section 4 "Exam-relevant Content" is exam-relevant.
Association in the course directory
UF MA BU 01, UF MA BU 04, MEC-9, MNB6
Last modified: Fr 08.05.2026 12:07
The course introduces theoretical foundations of geoinformatics and enables students to explain central concepts correctly and assess them for typical application scenarios. In line with the study/module objectives, the following learning outcomes are targeted:
- Explain the relevance and application domains of Geographic Information Systems (GIS) with reasoned arguments.
- Distinguish vector and raster data reliably and classify scale effects (MAUP) and generalization appropriately.
- Differentiate scale, spatial resolution, accuracy/precision, and uncertainty, and explain their implications.
- Select suitable Coordinate Reference Systems (CRS) or map projections and recognize typical error patterns.
- Plan thematic and spatial selection as well as aggregation conceptually.
- Explain raster/DEM concepts (reclassification, simple map algebra, slope/aspect).
- Apply principles of good cartography and communicate data and model uncertainties transparently.
- Identify data sources, licenses/ethics, web services, and fundamental aspects of reproducibility.Content
The course covers the following thematic foci:
- Geo data models and data formats
- Data policy, standards, and data sources
- Open (Government) Data
- Fundamentals of spatial reference systems
- Fundamentals of cartography
- Fundamentals of spatial data analysisTeaching and learning methods
This is a non-continuous assessment lecture (NPI-LV) delivered via digital distance learning on Moodle, at students’ own pace (self-paced). The course is structured into thematic modules, each featuring:
- Video lecture and slide deck (PDF)
- Further reading and links for independent study and hands-on exploration
- Formative self-check questions
- Opportunities for interaction and clarification via the course forum
Moodle is used as the central environment for materials, self-tests, and communication. This supports continuous learning and understanding processes even without on-site sessions .Attendance
There is no attendance requirement. As a non-continuous assessment course (NPI-LV, typically a lecture), attendance must not be mandated; preparation for the associated examination is ensured through digital teaching and examination materials .