GST102AB (Spatial Analysis: Vector Data Analysis and Raster Data Analysis)

Introduces students to problem-solving and decision making using geospatial analysis techniques, applicable to a range of disciplines including Vector Data Analysis and Raster Data Analysis. Note: A companion course (GST102AA Spatial Analysis: Data Basics Review, Introduction to Analysis, Using Attribute and Data Queries, and Vector Data Analysis) begins the sequence of topics to include Data Basics Review, Introduction to Analysis, Using Attribute and Data Queries, and initial Vector Data Analysis.
Microsoft Word Syllabus (221 KB)
file Course Documents (416 KB)
file Labs (11 MB)
file Storyline (7 MB)
file SCORM (8 MB)
file Lessons (2 MB)
file Assessments (11 MB)
Date:
2013-10
Primary Material Type:
Online Course
Institution:
Del Mar College
Project Name:
National Information, Security, and Geospatial Technology Consortium (NISGTC)
Funding Source:
TAACCCT Round 1
Subjects:
geospatial, technology, geographic information systems, GIS, spatial data analysis, network analysis, spatial query, raster analysis, vector analysis

Industry / Occupation

Industry Partner:
BILT (see support docs for explanation)
Industry Sector:
Information Technology -- Computer Operating Systems (Programming), Digital Forensics, Cyber Security, Network Security, IT Security (51)
Occupation:
Computer and Mathematical Occupations (15-0000)

Education / Instructional Information

Instructional Program:
Computer and Information Sciences and Support Services (11)
Credit Type:
  • Credit
Credential Type:
  • Certificate
  • Stacked/Latticed Credential Model
  • Associate Degree
Educational Level of Materials:
  • 1st year Community College or equivalent
Time Required:
96 Clock hours
Language:
English (United States)
Interactivity Type:
Mix of Active and Presentation.
Quality Rubric:
QM
Quality Note:
The SMEs were all trained in the Universal Design for Learning protocols and principles before their course development effort started. All the courses were developed to the national GTCM standard and reviewed by the project manager Phillip Davis who helped establish the GTCM with DOL in 2010.
Quality of Subject Matter was assured by:
  • Other
Quality of Online/Hybrid Course Design assured by:
  • None
Course Note:
Marketable Skills Award Level I, Marketable Skills Award Level II and AAS GIS

Copyright / Licensing

Primary License:
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.