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Courses

Interested in GIS, GeoAI, and Spatial Data Science? Get ready to launch your career in AI and Data Science with cutting-edge geospatial technologies?

The GISense Lab offers the following courses in the domains of GIScience, GeoAI, Geospatial Data Science, Cartography and Geovisualizations, and Quantitative Data Analysis.

All of these courses are designed as lectures coupled with exercise labs, including the usage of GIS and mapping software, and hands-on programming scripts for geographic problem-solving. Students gained not only a more comprehensive understanding of the theories of geography and spatial data science, but also the technical skills required for future GIS, GeoAI, and Geospatial Data Science careers.

GRG 460G Environmental GIS

The signature course to learn GIS at UT! Explore the dynamic field of Geographic Information Science (GIScience) and discover how Geographic Information Systems (GIS) are applied to address real-world geographical and environmental challenges. Learn the fundamental principles of GIS, map design, spatial analysis, and programming, and develop your ability to think critically about geographic data. Gain proficiency in using ArcGIS Pro for effective geospatial data management, analysis, and programming. Through practical, hands-on GIS projects, enhance your problem-solving abilities and contribute to informed environmental decision-making.

Syllabus: [PDF]

Special Activities:

Guest Lecturers:

Featured Course Final Projects: Fall 2025, Spring 2025, Fall 2024

GRG 356T Cartography and Maps

Explore the art, science, and technology of cartography by analyzing how maps communicate geographic information. Learn cartographic principles and apply creativity and critical thinking to create compelling visual representations. Practice designing maps with professional tools like ArcGIS Pro and Illustrator. Experiment with emerging technologies, such as AI, to enhance map-making and user experience.

Syllabus: [PDF]

Guest Lecturers:

Featured Course Final Projects: Spring 2025

GRG 356T Spatial Data Science and Maps

Explore geospatial big data and cutting-edge geospatial artificial intelligence (GeoAI) methods to solve real-world geographic and environmental challenges. Learn a wide range of spatial analytical methods from spatial regression, network analysis, machine learning, and visualization tools to support decision-making in environment, geoscience, health, psychology, crime, housing, planning, climate, etc., to make impacts on the world around us.

Syllabus: [PDF]

Featured Course Final Projects: Fall 2025