Akademik Dersler - İçerik

0 : Does not support 1 : Low-level support 2 : Mid-level support 3 : Top level support

Learning Outcomes	1	2	3	4	5	6
Defines spatial data concepts, data models and transformation processes of these models.	1	2	0	3	0	1
Explains the properties of vector and raster data structures and selects the appropriate data structure according to the usage areas.	1	3	0	2	0	1
Apply spatial data query and analysis techniques (attribute, location, overlay, buffer, etc.).	1	3	1	2	0	1
Creates digital surface models (DSM, DTM, DEM) and performs surface analysis.	2	3	1	2	0	1
Use data transformation, reclassification and multi-criteria decision making methods in analysis scenarios.	2	3	1	2	0	1
Develop spatial decision support applications using weighted registration analysis.	2	3	0	2	1	2