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Introduction to (Geo)Spatial Data Analysis and Visualization


QAC 231
Fall 2017
Section: 01  
Certificates: Applied Data Science
Course Cluster: Data Analysis Minor

Geographic information systems (GIS) provide researchers, policy makers, and citizens with a powerful analytical framework for spatial pattern recognition, decision making, and data exploration. This course is designed to introduce social science and humanities students to spatial thinking through the collection, management, analysis, and visualization of geospatial data using both desktop and cloud-based platforms. Classes will consist of short lectures, hands-on training using different spatial analysis and geodesign technologies (e.g., ESRI ArcGIS, Google Fusion Tables, MapBox), group projects, critiques, and class discussions. Weekly readings and assignments will build skills and reinforce concepts introduced in class. The course will culminate in the development of a group project. Guest lectures by faculty across campus will allow students to comprehend the breadth of applied geospatial thinking in today's research arena. The course is part of Wesleyan's Digital and Computational Knowledge Initiative and is aimed at students with limited or no prior GIS experience.
Credit: 1 Gen Ed Area Dept: NSM QAC, SBS QAC
Course Format: Laboratory CourseGrading Mode: Graded
Level: UGRD Prerequisites: None
Fulfills a Major Requirement for: (DATA-MN)
Past Enrollment Probability: 50% - 74%

Last Updated on NOV-20-2017
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