GEOINFORMATICS - BMEEOFTM041

The objectives for this course include both content and skills of geoinformatics to modeling and analysis of the natural and built phenomena of the environment. Upon completion of this course, students will understand the structure of and be able to design and execute basic GIS analysis projects. In practice, students will be able to collect and assess location based geographic data, organize and store that data, perform basic analysis functions on that data and design effective models to represent built-up and natural environmental phenomena. The course will cover the whole GIS production process from data acquisition to editing, analysis, and visualiza-tion. The course itself is divided into two equally important parts: lectures, which introduce the theory of geoin-formatics, and lab exercises, which help you to familiarize yourself with many aspects of the standardizes GIS software environment. The lectures discuss concepts, data, tools, and major aspects of assignments. The labora-tory sessions introduce the geospatial data and software tools needed for accomplishing the assignments.

1. knows the elements of geoinformatics theory,
2. the key principles of location based environmental analysis,
3. knows the procedures on location based intelligence and the ways of their description,
4. knows the basic steps of digital representation of built-up and natural environment,
5. knows the basic spatial data capturing, spatial analysis and visualization technic,

1. create the structural model of our urban and rural environment,
2. definie spatial indicators to analyze the complex interaction between the nature, in-frastructure, socity and culture,

1. open to use geospatial tools,
2. makes effort to perform relevant decision support analysis.

1. individually capable of modelling space related phenomena and realizing the dependencies,
2. individually capable of performing basic spatial analysis,
3. individually capable of using heterogeneous spatial data bases,
4. uses systematized thinking approach.

Lectures and written communication, use of ICT tools and techniques. In-class discussions, calculations and analyses.

• Az előadások prezentációinak anyaga, amely a megfelelő időpontban a hallgatók által hozzáférhetővé válik.
• Slideshows of the lectures which will distributed at appropriate times throughout the semester.
• Az aktuális irodalmi lista az első órán kerül ismertetésre.
• The current literature list will be distributed in the first lesson.

Assessment of the learning outcomes described under 2.2. shall be based on mid-term grading.

Detailed description of assesments during the term: Students shall submit three lab assignments and one complex project reflecting their knowledge and skills.

• Lab practice: 30%
• written assignment: 70%
• total: 100%

Retakes and make-ups are regulated by the university’s Code on Education and Examination. (1) Of the three lab assessments, cannot be retake. (2) These may be made up for or improved on one count, during the make up period. In case of re-submission or late submission, the new score will overwrite any previous scores obtained. (3) Should the student fail to obtain a passing grade as specified in (2), they may once again re-submit one written assignment, which will be evaluated for a fee.

Consulted with the Faculty Student Representative Committee, approved by dr. Lógó Emma, Vice Dean for Education. Valid from September 1, 2019.

Subject includes the topics detailed in the course syllabus to ensure learning outcomes listed under 2.2. can be achieved. Timing of the topics may be affected by calendar or other circumstances in each semester.

Part I-III of the Subject Form is to be approved by the Head of Department named under 1.8.