USC Schedule of Classes

The influence of sustainability science on public policy and vice versa in the context of social/ethical theories, analytical methods and solutions.

Introduction to the complex relationship between human development and natural hazards, which are increasingly causing damage and displacement to human populations throughout the world.

An exploration of earth's water, ranging from water properties, chemistry, and pollution, to groundwater dynamics, watershed processes, and oceanic-atmospheric circulation. Implications for past and future societies. Lecture and laboratory.

Role of maps and spatial reasoning in the production and use of geographic information for representing and analyzing human and environmental activities and events.

The various ways in which geography can be used to acquire, represent, organize, analyze, model and visualize information. Laboratories are organized around ArcGIS software suite.

Fundamentals of spatial modeling and remote sensing and how to use GIS customization and programming to streamline complex spatial analysis and modeling workflows.

Intensive experience in local public agency, private firm, or nonprofit agency engaged in applied geospatial analysis, modeling and mapping work. Graded CR/NC.

Application of design concepts, planning protocols and spatial analysis skills to a complex planning or design problem sponsored by a local public, private or not-for-profit client in a studio setting.

Individual research and readings. Open only to juniors and seniors. Not available for graduate credit.

Typical geospatial intelligence tasks and their use in military operations, national and homeland security, international relief work and disaster management. Recommended preparation: SSCI-581.

Theoretical foundations, methods, techniques, and software systems for spatial computing, including geospatial semantic web and linked data, spatial data mining, geocoding, and document linking. Recommended preparation: SSCI 581 or INF 510.

The unique characteristics and importance of spatial information as they relate to the evolving science, technology, and applications of Geographic Information Systems.

Design, implementation, and interrogation of relational, object-oriented and other types of geospatial databases. Recommended preparation: SSCI 581.

Provides the knowledge and skills necessary to investigate the spatial patterns which result from social and physical processes operating at or near the Earth's surface. Recommended preparation: SSCI 581. (Duplicates credit in former GEOG 583)

The use of spatial models to describe social and environmental processes, patterns and systems at multiple spatial and temporal scales. Recommended preparation: SSCI 583.

Design, coding, and implementation of GIS-based software and models using the Python programming language. Recommended preparation: SSCI 582. Duplicates credit in former GEOG 586.

Role of global positioning systems, maps, geocoding, and other kinds of sensors as geospatial data sources. Includes field data acquisition excursion on Catalina Island. Recommended preparation: SSCI-581. Duplicates credit in former GEOG 587.

Principles of remote sensing, satellite systems, and role of remote sensing data in GIS applications. Recommended preparation: SSCI 581.

Principles of visual perception, spatial cognition and cartographic design and their contributions to the maps, animations, virtual reality and multimedia displays produced with modern GIS. Recommended preparation: SSCI 581.

Design, coding, and implementation of mobile GIS applications using the Java and Javascript object-oriented programming languages. Recommended preparation: SSCI 591.

Role of crowdsourcing, volunteered geographic information, spatial data infrastructures, and web portals in helping with the collection, storage, curation, and distribution of geospatial data assets. Recommended preparation: SSCI 587.

Credit on acceptance of thesis. Graded CR/NC.

Credit on acceptance of thesis. Graded CR/NC.

Credit on acceptance of thesis. Graded CR/NC.

The theoretical foundations and techniques of spatial analysis and the ways in which they have been used to identify spatial processes and patterns. Recommended preparation: Enrollment in a USC PhD Program.

An introduction to spatial models identifying the key issues influencing the success of these models in simulating key social and environmental processes and health exposures.