INTRODUCTION TO GIS
Session
Academic Term
Class Number
24475
Career
Undergraduate
Dates
8/26/2019 - 12/6/2019
Units
3 units
Grading
LG/SNC Elective Basis
Description
Geospatial data are digital representations of our physical world. As such, many public policy programs are critically informed by applications of geospatial data. This course will teach students how to acquire, manage, analyze, and visualize spatial data using ArcGIS Desktop. Students will also be introduced to applied data analysis using R. R is powerful, free, and flexible software used in many "big data" application. Assignments, applications, and course discussion will emphasize contemporary issues in public policy. Upon completing this course, students should expect to be proficient in basic GIS analysis and prepared for more advanced statistical coursework.
Class Attributes
Urban Studies
Class Notes
This course introduces the fundamental principles of geo-spatial analysis using ArcGIS Desktop and Microsoft Excel. It will focus on teaching students the principles of GIS through computer-based exercises and projects. Exercises will train students in acquiring, analyzing, mapping , and managing geospatial data in order to address predominately urban problems. An emphasis will be placed on bridging the gap between performing geo-spatial analyzes using GIS and designing readable and understandable outputs . Exercises and projects will be centered on topics and applications relevant to urban studies, political science, sociology and economics. These include, but are not limited to: Urban planning, housing, education, and public administration.
Class Details
Instructor(s)
Michael Glass, Susan Lucas
Meets
TuTh 9:30AM - 10:45AM
Meeting Dates
08/26/2019 - 12/06/2019
Room
5405 Wesley W Posvar Hall
Campus
Pittsburgh Campus
Location
Pittsburgh Campus
Components
Seminar Required
Textbooks/Materials
Textbooks to be determined
Enrollment Restrictions
Restricted URBNST (BA, BPH)
Available Seats: 0
Class Availability
Status
Open
Seats Taken
23
Seats Open
4
Class Capacity
27
Unrestricted Seats
4
Restricted Seats
0
Wait List Total
0
Wait List Capacity
20