Course aims:

The objectives of the discipline aim to know the basic problems and concepts with which the urban data banks operate, the ways of organizing, structuring and modeling the specific data within the information system, and the purpose is to present models for the realization of a urban data bank.
To create an urban data bank for a UAT.
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Course Entry Requirements:

-

Course contents:

1. The general cadastre and urban data banks; 2. Urban data banks of the local public administration: the real-estate cadastre; 3. Urban databases of local public administration: taxes and fees, public and private domain; 4. Urban databases of local public administration: agricultural register; 5. Urban data banks of local public administration: urban planning and territorial organization; 6. Urban data banks: leasing of land; 7. Computer applications for urban data banks 8. Application - the file of the real estate; 9. Application - the file of the public networks; 10. Microsoft Access program - description 11. Microsoft Access program - the structure of an urban data bank, the script component 12. AutoCAD program - the structure of an urban data bank, the graphical component 13. Correlation of the script database with the graph database 14. Queries of the data bank

Teaching methods:

Lecture, Conversation, Examples

Learning outcomes:

C2. Coordination, within the local and central administrations, of projects and programs aimed at the management of buildings C3. Working in multidisciplinary teams for identifying, analyzing and proposing solutions to solve the dysfunctions occurring at national, regional, county and local level C5. Application and assurance of the legislative framework in the geodesic activity C6. Computer-aided design and use of dedicated software CT4. Efficient use of information resources and resources for communication and assisted professional training both in Roman

Learning outcomes verification and assessment criteria:

Final evaluation and verification during the oral examination 67%Course check Portfolio - almost 33%

Recommended reading:

Oprea, L., Bănci de date cadastrale, Biblioteca Universității „1 Decembrie 1918”,, Alba Iulia, 2019, -.
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