GEOS 3103 Principles of Remote Sensing
Fundamental concepts of remote sensing of the environment. Optical, infrared, microwave, LIDAR, and in situ sensor systems are introduced. Remote sensing of vegetation, water, urban landscapes, soils, minerals, and geomorphology is discussed. The course includes laboratory exercises in GIS software and field spectroscopy.
GEOS 3593 Introduction to Geodatabases
Fundamental concepts and applications of geospatial databases. Schema development and spatial data models for geodata. Spatial and attribute query and optimization, properties and structures of relational and object-oriented geodatabases. Spatial extensions of SQL, spatial indexing, measurement, and geometry.
GEOS 5973 Seminars in GIS
Everything happens somewhere. Recent advances in location intelligence provide unprecedented details of Earth’s environments and people, demanding a paradigm shift towards novel spatial analytical frameworks. This course opens the door to the latest innovations and cutting-edge techniques in GIScience. This course is for advanced undergraduates and graduate students in Geography and other related disciplines who want to grasp the frontiers in spatial data science and gain knowledge and skills in geographic research. You will be exposed to recent advancement in spatial science, the coupling between Geography and Machine Learning, quantitative geographical methods and available software/packages, advanced spatiotemporal statistics, computational social science, remote Sensing image processing.
GEOS 3103 Geospatial Technologies Computational Toolkit
Basic computational tools and processes applied in geospatial software, related computer hardware components, systems and applications software, and spatial database fundamentals. Python, including SciPy and NumPy, geospatial implementations will be emphasized. No programming experience is required. Students may receive credit for the course through testing.
GEOG 363 Geographic Information Systems
Geographic Information Systems (GIS) represent a major advancement in computer handling of geographical data. These systems are used extensively throughout all levels of government, private industry, and academia to provide support for spatial decision making and problem-solving. Principles and methods of Geographic Information Systems are presented with an emphasis on modeling the Earth and abstracting geographical data, collection of geographical data using modern techniques such as GPS, mapping information, and analyzing patterns and spatial relationships. Practical experience with GIS is provided during the lab exercises using a state-of-the-art GIS.
GEOG 105 The Digital Earth (Carolina Core ARP)
GEOG 105 is an introductory course that focuses on how the earth surface is visualized, explored, and analyzed in digital formats. It provides a systematic introduction of map-based analytical approaches to understanding the Earth environment and human society. The topics cover the basics of cartography (map making and reading), aerial photography and satellite image interpretation, geographic information systems (GIS), and map-based reasoning and communication of spatial data. Through lectures and computer/field exercises, students will learn fundamental concepts of digital geographic data to understand vast quantities of geographic information in our ever-changing world. Students will be exposed to leading edge trends in mapping technology – with examples from everyday life like web-based maps and smartphone APPs – as their practical experiences.