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5.0
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1,000
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99%
Would take again
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Not teaching in Spring 2026 | |||||
GISC 6325 Fang Qiu | |||||
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Not teaching in Spring 2026 | |||||
GISC 6325 Fang Qiu | |||||
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Grades: 335
Median GPA: A
Mean GPA: 3.671
1
Professor rating
5
Difficulty
1
Ratings given
N/A
Would take again
Remote Sensing Fundamentals
GISC 6325
School of Economic, Political and Policy Sciences
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
Grades: 78
Median GPA: A
Mean GPA: 3.544
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Grades: 335
Median GPA: A
Mean GPA: 3.671
1
Professor rating
5
Difficulty
1
Ratings given
N/A
Would take again
Remote Sensing Fundamentals
GISC 6325
School of Economic, Political and Policy Sciences
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
Grades: 78
Median GPA: A
Mean GPA: 3.544
Click a checkbox to add something to compare.