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5.0
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5.0
Difficulty
1,000
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99%
Would take again
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| Name | Grades | Rating | |||
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Not teaching in Spring 2026 | |||||
GEOS 5325 Anthony Cummings | |||||
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| Name | Grades | Rating | |||
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Not teaching in Spring 2026 | |||||
GEOS 5325 Anthony Cummings | |||||
Anthony Cummings
[email protected]Grades: 743
Median GPA: B
Mean GPA: 2.928
3.2
Professor rating
3.2
Difficulty
23
Ratings given
44%
Would take again
Remote Sensing Fundamentals
GEOS 5325
School of Natural Sciences and Mathematics
Introduction to remote sensing principles, sensor technologies, image preprocessing techniques, and machine learning and AI based image analysis. The class will focus on how remote sensing data can be processed to extract information in support of important urban and environmental decision making. The current generation, industry standard software is used for labs and applications development. 3 credit hours.
Offering Frequency: Fall
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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Anthony Cummings
[email protected]Grades: 743
Median GPA: B
Mean GPA: 2.928
3.2
Professor rating
3.2
Difficulty
23
Ratings given
44%
Would take again
Remote Sensing Fundamentals
GEOS 5325
School of Natural Sciences and Mathematics
Introduction to remote sensing principles, sensor technologies, image preprocessing techniques, and machine learning and AI based image analysis. The class will focus on how remote sensing data can be processed to extract information in support of important urban and environmental decision making. The current generation, industry standard software is used for labs and applications development. 3 credit hours.
Offering Frequency: Fall
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.