6 courses with the subject GIS, each shown exactly as we captured it from the college's catalog, with every element we hold. Where the wording looks broken, that is our reading of the catalog, not the college's text.
Lecture hours per week: 3 Laboratory hours per week: 2 Provides hands-on introduction to a dynamic desktop GIS (Geographic Information System). Introduces the components of a desktop GIS and their functionality. Emphasizes manipulation of data for the purpose of analysis, presentation, and decision-making. 4
Lecture hours per week: 3 Laboratory hours per week: 2 Provides hands-on introduction to a dynamic desktop GIS (Geographic Information System). Introduces the components of a desktop GIS and their functionality. Emphasizes manipulation of data for the purpose of analysis, presentation, and decision-making. 4
Lecture hours per week: 2 Laboratory hours per week: 2 Focuses on the fundamental cartographic concepts used in planning, designing, and creating effective maps.
Lecture hours per week: 3 Laboratory hours per week: 2 Introduces GIS 3D (three-dimensional) concepts and practices with a concentration on displaying, creating and analyzing spatial GIS data using 3D. Covers 3D shape files, 3D data formats such s Tins, DEMs, grids and controlling the perspective and scale of 3D data through rotating, panning and zooming. 5
Lecture hours per week: 3 Laboratory hours per week: 2 Provides the student an introduction to geographic data and the principles behind their construction. Introduces the concepts for measuring locations and characteristics of entities in the real world. Exposes the student to the limitations and common characteristics of geographic data. 4
Lecture hours per week: 2 Laboratory hours per week: 4 Introduces material to understand the fundamental physical and mathematical principles and techniques of Remote Sensing. Introduces how each part of the electromagnetic spectrum is used to gather data about Earth. Describes limitations imposed by satellites, aircraft, and sensors. Surveys various methods to access and apply Earth observation/Remote Sensing data. Teaches students to use Remote Sensing software to process and manipulate Landsat, SPOT, photographic, and other imagery in a hands-on approach to Remote Sensing analysis.
Source: Southwest Virginia Community College's catalog, linked per course · table learning_unit · CourseShelf publish 59
