Introduction to (Geo)Spatial Data Analysis and Visualization
QAC 231
Spring 2020
| Section:
01
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| Certificates: Applied Data Science, Data Analysis Minor |
| Course Cluster: Applied Data Science Certificate |
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 spatial analysis platforms. Classes will consist of short lectures, hands-on training, 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. Readings across multiple disciplines 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. |
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| Credit: 1 |
Gen Ed Area Dept:
NSM QAC, SBS QAC |
| Course Format: Laboratory Course | Grading Mode: Graded |
| Level: UGRD |
Prerequisites: None |
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Fulfills a Requirement for: (BIOL)(CADS)(DATA-MN)(ENVS-MN)(ENVS)(HRAD-MN)(PSYC) |
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Past Enrollment Probability: 50% - 74% |
| SECTION 01 | | Special Attributes: CQC |
Major Readings: Wesleyan RJ Julia Bookstore
Textbook: The GIS 20: Essential Skills. 3rd ed. Clemmer, G. 2017. Esri Press. ISBN: 978-1-58948-512-9.
Weekly readings: peer-reviewed academic journal articles to illustrate general themes regarding spatial data visualization and analysis in social science, science, and humanities scholarship. (Example: Goodchild, MF and DG Janelle. 2010. Toward critical spatial thinking in the social sciences and humanities. GeoJournal 75(1):3-13.)
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Examinations and Assignments:
2-3 exams
1 group project (oral presentation, written report, GIS products)
Multiple independent assignments |
| Instructor(s): Diver,Kim Times: ..T.R.. 01:20PM-02:40PM; Location: ALLB204; |
| Total Enrollment Limit: 30 | | SR major: 0 | JR major: 0 | | |
| Seats Available: 0 | GRAD: X | SR non-major: 5 | JR non-major: 9 | SO: 10 | FR: 6 |
| Drop/Add Enrollment Requests | | | | | |
| Total Submitted Requests: 12 | 1st Ranked: 3 | 2nd Ranked: 5 | 3rd Ranked: 0 | 4th Ranked: 0 | Unranked: 4 |
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