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Not teaching in Spring 2026 | |||||
EPPS 2305 Brent Dell | |||||
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| Name | Grades | Rating | |||
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Not teaching in Spring 2026 | |||||
EPPS 2305 Brent Dell | |||||
Brent Dell
[email protected]Grades: 80
Median GPA: A-
Mean GPA: 3.380
4
Professor rating
2
Difficulty
1
Ratings given
100%
Would take again
Spatial Thinking and Data Analytics
EPPS 2305 (Same as GEOS 2305 or GISC 2305)
School of Economic, Political and Policy Sciences
This course explores the role that Spatial Thinking plays across a variety of subject areas in science, engineering, mathematics, arts and humanities. We will introduce rich resources of geospatial data from government agencies, social media, and semantic web. Students will be exposed to introductory methods in Spatial Data Analytics afforded by Global Positioning Systems (GPS), Remote Sensing (RS), Geographic Information Systems (GIS), Spatial Analysis, and Mapping technologies and learn how to bring spatial considerations into research and applications. The course is intended to empower students with spatial intelligence (one of the nine intelligences on Howard Gardner's Theory of Multiple Intelligences) and with experiences of applying spatial thinking and data analytics to problem solving. 3 credit hours.
Offering Frequency: Each year
This professor/course combination hasn't been taught in the semesters you selected. To see more grade data, try changing your filters.
Grades: 0
Median GPA: None
Mean GPA: None
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Brent Dell
[email protected]Grades: 80
Median GPA: A-
Mean GPA: 3.380
4
Professor rating
2
Difficulty
1
Ratings given
100%
Would take again
Spatial Thinking and Data Analytics
EPPS 2305 (Same as GEOS 2305 or GISC 2305)
School of Economic, Political and Policy Sciences
This course explores the role that Spatial Thinking plays across a variety of subject areas in science, engineering, mathematics, arts and humanities. We will introduce rich resources of geospatial data from government agencies, social media, and semantic web. Students will be exposed to introductory methods in Spatial Data Analytics afforded by Global Positioning Systems (GPS), Remote Sensing (RS), Geographic Information Systems (GIS), Spatial Analysis, and Mapping technologies and learn how to bring spatial considerations into research and applications. The course is intended to empower students with spatial intelligence (one of the nine intelligences on Howard Gardner's Theory of Multiple Intelligences) and with experiences of applying spatial thinking and data analytics to problem solving. 3 credit hours.
Offering Frequency: Each year
This professor/course combination hasn't been taught in the semesters you selected. To see more grade data, try changing your filters.
Grades: 0
Median GPA: None
Mean GPA: None
Click a checkbox to add something to compare.