Course Overview
Description
This course introduces students to the fundamental concepts and techniques of Geographic Information Systems (GIS). Students will learn to collect, manage, analyze, and visualize spatial data using industry-standard software.
Learning Objectives
- Understand core GIS concepts and terminology
- Work with vector and raster data models
- Perform spatial analysis operations
- Create professional-quality maps
- Apply GIS to real-world problems
Software
We will primarily use ArcGIS Pro (available in campus computer labs) and QGIS (free, open-source alternative for home use).
Grading
- Lab Assignments: 40%
- Midterm Project: 20%
- Final Project: 25%
- Participation: 15%
Course Modules
Click on each module to access lecture videos, slides, readings, and assignments.
Introduction to GIS
What is GIS? History, applications, and career paths in geographic information science.
GIS Data Models
Understanding vector and raster data models, coordinate systems, and projections.
Spatial Analysis I: Vector Operations
Buffer, overlay, proximity analysis, and geoprocessing workflows.
Spatial Analysis II: Raster Operations
Map algebra, terrain analysis, and surface interpolation.
Course Resources
Course Schedule
| Week | Dates | Topic | Readings | Due |
|---|---|---|---|---|
| 1 | Jan 13-17 | Introduction to GIS | Ch. 1 | — |
| 2 | Jan 20-24 | GIS Data Models | Ch. 2-3 | Lab 1 |
| 3 | Jan 27-31 | Attribute Data | Ch. 4 | Lab 2 |
| 4 | Feb 3-7 | Vector Analysis | Ch. 5 | Lab 3 |
| 5 | Feb 10-14 | Raster Analysis | Ch. 6 | Lab 4 |
| 6 | Feb 17-21 | Cartographic Design | Ch. 7 | Lab 5 |
| 7 | Feb 24-28 | Midterm Project Work | — | — |
| 8 | Mar 3-7 | Midterm Presentations | — | Midterm |
Contact & Office Hours
Instructor
Dr. Sean M. Crotty
Associate Professor of Geography
sean.crotty@tcu.edu
Office Hours
Tuesday: 2:00 - 4:00 PM
Thursday: 10:00 AM - 12:00
PM
Location: Scharbauer Hall
2003
Or by appointment