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Search Results
| Name | Grades | Rating | |||
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Not teaching in Spring 2026 | |||||
GISC 6301 (Overall) | |||||
B+ | |||||
GISC 6301 Michael Tiefelsdorf | |||||
B+ | |||||
Search Results
| Name | Grades | Rating | |||
|---|---|---|---|---|---|
Not teaching in Spring 2026 | |||||
GISC 6301 (Overall) | |||||
B+ | |||||
GISC 6301 Michael Tiefelsdorf | |||||
B+ | |||||
GIS Data Analysis Fundamentals
GISC 6301
School of Economic, Political and Policy Sciences
Statistical techniques are examined with a focus on fundamental geospatial data handling techniques and algorithms as well as applied geospatial data analysis. The underlying concepts of descriptive statistics, data visualization, and exploratory methods; probability theory, study design and sampling theory; statistical inference and simulation experiments; basic correlation and regression analyses; as well as methods of pattern analysis are discussed from a Geoinformation Sciences perspective. A course in statistics (such as EPPS 2302 or EPPS 2303) is strongly recommended. No prior GIS knowledge is required. 3 credit hours.
Offering Frequency: Fall
Grades: 114
Median GPA: B+
Mean GPA: 3.330
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GIS Data Analysis Fundamentals
GISC 6301
School of Economic, Political and Policy Sciences
Statistical techniques are examined with a focus on fundamental geospatial data handling techniques and algorithms as well as applied geospatial data analysis. The underlying concepts of descriptive statistics, data visualization, and exploratory methods; probability theory, study design and sampling theory; statistical inference and simulation experiments; basic correlation and regression analyses; as well as methods of pattern analysis are discussed from a Geoinformation Sciences perspective. A course in statistics (such as EPPS 2302 or EPPS 2303) is strongly recommended. No prior GIS knowledge is required. 3 credit hours.
Offering Frequency: Fall
Grades: 114
Median GPA: B+
Mean GPA: 3.330
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