USC Schedule of Classes

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.

Foundations of geodesign combining place-making, design, collective action, and the science of location-based information to improve human interaction with the functioning of the Earth.

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.

Concepts, practices and contexts of public engagement and their importance to the geodesign process.

Conceptual foundations and techniques of statistics and how they can be used with geographic data to produce actionable information across spatial science domains.

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.

Supervised, individual studies. No more than one registration permitted. Enrollment by petition only.

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

Introduction to basic geospatial intelligence knowledge and related practical applications that assist in informing decision-making in a variety of human security settings.

Principles and techniques for leveraging geospatial technologies and information in support of sustainability, with emphasis on coupling human and natural systems for global sustainable development.

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

The use of GIS, spatial analysis, modeling, and 2- and 3-D mapping to support landscape architecture projects that span multiple spatiotemporal scales.

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.

Explore ways remote sensing systems provide geospatial information that is relevant, accurate, timely, accessible, appropriately formatted and cost-effective.

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

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

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.

Concepts, principles, and use of project management tools and the people issues encountered running GIS projects. Recommended preparation: SSCI 581.

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.

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.

Design and implementation of locally served and cloud-based geospatial web applications. Construction of web maps, mashups and Volunteered Geographic Information interfaces.

Credit on acceptance of thesis. Graded CR/NC.

Credit on acceptance of thesis. Graded CR/NC.

Credit on acceptance of thesis. Graded CR/NC.

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

Meaning and significance of place and role of social, natural, and built environments in disease occurrence in different places and populations. Open only to doctoral students.

Procedures and techniques for the collection, evaluation and analysis of demographic data; census and vital registration systems; basic measures of demographic components and the construction of life tables and population projections.

Fundamentals of temporal and spatiotemporal data analysis; modern methods for evaluating, managing, and visualizing spatiotemporal data; hands-on use cases.

Principles of pedagogy for teaching the liberal arts, focusing on issues and technologies for spatial thinking. Required for first-semester teaching assistants in spatial sciences.

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.