Skip Navigation
Home > soc
 

Course Details

 

Course Details

Course Code: INTL627 Course ID: 4530 Credit Hours: 3 Level: Graduate

This course will focus on advanced geospatial analytic techniques and how these techniques aid in decision making in various operational environments. This course will include study of geospatial collections and teach the application of theory and practical utilization of analytical tools, techniques and procedures. Students will be exposed to and are expected to develop an understanding of emerging technology, trends and intelligence applications within the discipline of geospatial intelligence. The course will focus on geospatial concepts, techniques, and maximize focus in geospatial in support of emergencies, national and human disasters, and national security environments. (Prerequisite: SSGS500)

Course Schedule

Registration Dates Course Dates Start Month Session Weeks
06/28/2021 - 12/03/2021 12/06/2021 - 01/30/2022 December Fall 2021 Session D 8 Week session
09/28/2021 - 03/04/2022 03/07/2022 - 05/01/2022 March Winter 2022 Session D 8 Week session

Current Syllabi

CO-1: Assess the means by which multiple collection platforms and “big data” are leveraged to produce finished geospatial intelligence

CO-2: Critique analytical judgments on a broad spectrum of problems

CO-3: Integrate new geospatial technologies from a wide variety of open source applications

CO-4: Differentiate data analysis and communication to address common geographic events

CO-5: Use structured analytic techniques to problem solve through application of acquired knowledge and critical thinking skills

The course grade is based on the following assessments:

Discussion Forums – 30 percent

Discussion questions will be provided and posts should reflect an assimilation of the readings and respond to the assigned topic(s). Students are required to provide a substantive initial post by Thursday at 11:55 pm ET and respond to two or more classmates by Sunday 11:55 pm ET. Forum posts are graded on timeliness, relevance, knowledge of the weekly readings, and the quality of original ideas.

Assignment #1 Case Study – 20 percent

The components of this assignment include analysis of the questions. Your response should be in the form of a paper (containing at least 8 sources, at least 6 of which are peer-reviewed). The use of creative web-based geographic information systems is encouraged. Length: 5 pp.

Assignment #2 Collection Proposal – 20 percent

The components of this assignment include the development of a collection proposal using the provided outline. Your response should be in the form of a paper (containing at least 8 sources, at least 6 of which are peer-reviewed). The use of creative web-based geographic information systems is encouraged. Length: 5 pp.

Final Collection Proposal —30 percent

This is the final paper assignment of the course. It must contain citations in formal style as well as a bibliography. This integrates both the case study and collection proposal into one detailed plan. You can use the same chapter headings as assignment #2 or leverage a different organizational construct. The use of creative web-based geographic information systems is encouraged. Length: 10 pp.

CO-1: Assess the means by which multiple collection platforms and “big data” are leveraged to produce finished geospatial intelligence

CO-2: Critique analytical judgments on a broad spectrum of problems

CO-3: Integrate new geospatial technologies from a wide variety of open source applications

CO-4: Differentiate data analysis and communication to address common geographic events

CO-5: Use structured analytic techniques to problem solve through application of acquired knowledge and critical thinking skills

Book Title:There are no required books for this course.
Author: No Author Specified
 

Previous Syllabi

Not current for future courses.