Spring 2024

The role of formal reasoning, abstract representation and empirical analysis in building maps for sharing knowledge across the physical, life and social sciences and humanities.

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.

Develop the requisite knowledge and practical skills to source, analyze, and produce GIS and simulation-based projects with unmanned aerial systems-derived data.

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.

Use of sustainability theory and practice to compare various geodesign practices; application to specific locations around the world to promote a sustainable global environment.

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.

Create conceptual solutions for a real-world human security and geospatial intelligence issue by developing a problem set and recommended solution to the same.

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

Introduction to the theoretical foundations, methods, and software systems for spatial econometrics using a variety of use cases.

Introduce the spatial data scientific approach to issues and present a holistic generalizable analysis pipeline.

The relationship between human security (population growth, urbanization, conflict) and disasters, both man-made and natural, where complex emergencies are impactful to human populations.

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.

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.

Research leading to the master's degree in cognate fields. Maximum units which may be applied to the degree to be determined by the department. Graded CR/NC.

Credit on acceptance of thesis. Graded CR/NC.

Credit on acceptance of thesis. Graded CR/NC.

Credit on acceptance of thesis. Graded CR/NC.

Provides hands-on problem solving opportunity that requires knowledge and GEOINT skills to provide an informed recommendation involving a variety of human security settings.

Part-time or full-time practical work experience in the student's field of study at an off-campus facility under faculty direction.

The role of spatial computing in understanding the world, in knowing and communicating our relationships to specific places, and for navigating through those places.

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.

Research leading to the doctoral degree. Maximum units which may be applied to the degree to be determined by the department. Open only to doctoral students.

Credit on acceptance of Dissertation. Open only to doctoral students in Population, Health, and Place major. Graded: IP/CR/NC.

Credit on acceptance of Dissertation. Open only to doctoral students in Population, Health, and Place major. Graded: IP/CR/NC.

Credit on acceptance of Dissertation. Open only to doctoral students in Population, Health, and Place major. Graded: IP/CR/NC.

Credit on acceptance of Dissertation. Open only to doctoral students in Population, Health, and Place major. Graded: IP/CR/NC.

Credit on acceptance of Dissertation. Open only to doctoral students in Population, Health, and Place major. Graded: IP/CR/NC.