Graduate Certificates

Climatology in a global context. Emphasizes energy budgets, weather systems in the tropics and extratropics, and atmospheric teleconnections such as El Nino.

Analysis of the world’s most extreme floods from the Pleistocene through present due to various causes. Emphasizes physical and human aspects of flood warning, preparedness, response and recovery throughout the world.

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Skill development in predicting and discussing daily weather patterns using meteorological instruments to collect data and analyze weather events.

Meteorological and climatological concepts related to hurricanes. Forecasting current activity; researching past storms; and analyzing storm structure, damage, and future trends.

Atmospheric teleconnections are recurring large-scale patterns of pressure and circulation anomalies. They can influence temperature, rainfall, storm tracks, and jet stream location/ intensity. We will examine how these patterns were discovered, how the index that characterizes the phase of each teleconnection is calculated, and the weather associated with different phases.

How atmospheric data are collected and analyzed both for meteorologic and climatologic-scale research. Learn where to obtain various types of data and how to analyze data to answer specific research questions.

Geographic technology for creating, modifying, displaying, and analyzing spatial information. Geographic analysis and reasoning, computer software and hardware technology, and research applications of GIS. Geographic databases.

Uses of remote sensing imagery in geographical research.

Uses of aerial photographs in geographical research.

General introduction to principles and techniques of thematic cartography and cartographic applications.

Many phenomena of interest in physical, social, and cyber environments can be thought of as networks within geographic context. This course teaches methods for analyzing these spatial networks, and introduces their applications in geography, urban studies, transportation, hydrology, epidemiology, social science, etc.

Introduces fundamentals and GIS practices of geostatistical analysis (or the kriging), which addresses optimal spatial interpolation. Geostatistics are currently applied in diverse disciplines such as geography, geology, engineering, hydrology, urban studies, and epidemiology.

Studying human-environment interactions and the influence of these interactions on public health. This course provides a broad-based, comprehensive survey of geographic approaches in medical studies

An advanced-level course for medical geography, and sister disciplines (epidemiology, public health, ecology). It can serve as an undergraduate level major or minor requirement. Focus is on GIS applications in spatial analysis and ecology to address common research issues related to zoonotic diseases (those affecting animals and humans).

Many phenomena of interest in physical, social, and cyber environments can be thought of as networks within geographic context. This course teaches methods for analyzing these spatial networks, and introduces their applications in geography, urban studies, transportation, hydrology, epidemiology, social science, etc.

Introduction to geodata analysis using programming. Broad introduction to the programming language as well as applied spatial data analysis. Primary outcome is to facilitate students’ use of programming to analyze data of their own choosing on a final project. Code sharing and re-use is highly emphasized, as is collaboration.

Uses of remote sensing imagery in geographical research.

Presents the science of climate change and impacts on health. Discussion builds on core concepts of climate change science to examine a variety of topics from acute impacts such as heat waves and other weather extremes to chronic conditions like degraded air quality. Mitigation and adaptation strategies are also discussed.

Focusing on the design of GIS-based models to address health and health care issues. Major topics include: a conceptual framework, landscape epidemiology models, disease diffusion models, health accessibility, human health behavior, and location-allocation of health services. Lab section helps students gain hands-on experience applying these models with GIS tools.