Creator: L&T EduTech
Category: Software > Computer Software > Educational Software
Topic: Environmental Science and Sustainability, Physical Science and Engineering
Tag: analysis, Data, geospatial, information, spatial
Availability: In stock
Price: USD 49.00
The “Geospatial Information Technology Essentials” course offers a multi-disciplinary approach, integrating key aspects of both Geospatial and Information Technology. Organized into seven comprehensive modules, it provides a thorough learning experience. Module One introduces the fundamentals of Geographic Information Systems (GIS), covering its applications, hardware requirements, data models, and attribute data types. Module Two delves deeper into GIS concepts, focusing on mapping essentials, data conversion techniques, and georeferencing.
In Module Three, learners explore GIS database management, including basics of databases, RDBMS, SQL, and advanced geodatabase management. Module Four covers spatial analysis using GIS, with practical demonstrations of techniques like catchment area delineation, overlay analysis, and viewshed analysis. Module Five provides insights into geospatial IT, including enterprise GIS, web and mobile GIS technologies, and practical case studies.
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In Module Six, system integrations and decision support are discussed, with a focus on command and control center case studies, decision support systems, and open-source GIS projects. Module Seven introduces future trends in geospatial technologies, highlighting advancements in survey and mapping technologies, spatial analytics, and geointelligence. Join us on this journey into Geospatial Information Technology and equip yourself with the essential skills and knowledge to excel in this dynamic field! Target Learners: Undergraduate students of Civil Engineering Post-Graduate Students in Geoinformatics/ Remote Sensing/ Geospatial Engineering. Practicing Engineers involved in geospatial applications in construction. Faculties in Civil, Geospatial and Environmental Studies. Professionals in GIS and Remote Sensing fields Engineers and project managers involved in spatial data analysis Prerequisites: Basic understanding of GIS principles and spatial data Familiarity with computer operations and software usage Software: ArcGIS
