This course is INACTIVE
Division
Science - DNU
Academic Level
Undergraduate
Course Subject
Geospatial Info Science & Tech
Course Number
131
Course Title
Geospatial Technologies
Credit Hours
4.00
Instructor Contact Hours Per Semester
62.00 (for 15-week classes)
Student Contact Hours Per Semester
62.00 (for 15-week classes)
Grading Method
A-E
Catalog Course Description
Introduces several aspects of geospatial technologies. Topics include cartography and map design, geospatial data and the global positioning system (GPS), geographic information systems (GIS), remote sensing (RS), and geospatial applications. Four hours of integrated lecture/lab per week. Home computer access recommended.
Goals, Topics, and Objectives
Goal Statement
That students should have a comprehensive foundation in geospatial technologies, including principles and applications of remote sensing, global positioning systems, spatial data structure, and geographic information systems.
Core Course Topics
- Principles and use of cartography
- Methods used to represent the Earth digitally
- Difference between vector and raster data
- Representing discrete and continuous data with vector and raster data.
- Principles and use of the Globa Positioning System (GPS)
- Methods of primary and secondary data collection using GPS, aerial and satellite imagery
- Key elements of digital maps and methods for geovisualization
- Elements and functions of a GIS
- Aspects of remotely sensed imagery and their integration into digital maps
- Demonstrate how to analyze real-world data to creat digital maps
- Protocols for integrating, interpreting, and analyzing geospatial data
- Introduce students to a wide variety of career application areas
- Identify the basic skills needed to succeed in more advanced GIS courses
Core Course Learning Objectives (Separated)
- Apply the principles of cartography and geovisualization.
- Identify the fundamental aspects of geographic information systems (GIS).
- Explain the operation of the global positioning system (GPS).
- Distinguish between vector and raster data models and determine which model best fits project data.*
- Explain how remotely sensed imagery can be used in geovisualization.
- Assess the suitability of various types of raster data.*
- Identify essential elements of all digital maps.
- Design clear and effective small and large-scale digital maps.*
- Choose an appropriate geovisualization method based on the nature of data.*
- Integrate, analyze, and interpret data according to standard protocols.*
- Design and print digital maps using various commercial software packages.
General Information
10/26 Biology department approval date.
Assessment and Requirements
Assessment of Academic Achievement
Attendance, Lab Assignments, Quizzes, Midterm, Final
Approval Dates
Effective Term
Winter 2019