GG 369 – Geographical Information Systems
Geographic Information Systems (GIS) enable the representation and analysis of spatial processes. This course will provide an understanding of the theory and concepts underlying GIS, and will give students hands-on experience working with spatial data.
Topics will include database management, spatial data models, spatial data acquisition, error and uncertainty in spatial data, topology, and basic processing operations used in GIS. These concepts will be illustrated via a series of case studies which highlight the application of GIS in various contexts (e.g., resource management, crime, business, public facilities, health and disease).
GG 272 – Population Geography
The world’s population is unevenly distributed across the world. Exploring and understanding the trends in the demographic processes underlying this reality forms the basis for this course. Throughout this course we will focus on linking global demographic processes across scales to local issues, and emphasize working with real demographic data to study and reveal demographic trends and patterns.
GG 355 – Remote Sensing
This course offers an introduction to the basic principles and techniques of earth observation sensors and imagery. Digital image processing methods are widely used in mapping and monitoring environmental change and geographers in many fields use remotely sensed imagery as a data source in their research. Students will gain an understanding of the theory underlying satellite remote sensing of the earth, energy interactions in the atmosphere and the surface, and digital image processing techniques. Hands-on experience in the lab component will allow students to develop skills in remote sensing software PCI Geomatica. Integration of remotely sensed imagery with GIS software and GIS-based analysis will be emphasized throughout the course.
GG 258 – Geographical Research Methods
This course provides hands-on experience with the application of research methods used in geography and environmental studies, covering all aspects of the geographic research process. Topics will include research design, data collection, descriptive and inferential statistical analysis, and interpretation and communication of results. In the lab assignments, students will learn how to formulate research questions, design and perform data collection, and analyze and interpret data. Students will gain experience using analytical software, including Microsoft Excel and statistical software R.