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Geospatial Sciences Courses You May Take

Advanced GPS methods and Applications: This course is designed for graduate students to demonstrate a clear understanding of the GPS signal, codes and biases, describe the differences between relative and autonomous GPS positioning, code phase carries phase, DGPS and RTK. Students will learn the practical applications of GPS and the implications of its modernization. Lectures on GPS fundamentals will be augmented with hands-on training using GPS equipment. Students will use GPA equipment to perform survey and mapping. 

Principles of GIS: This course will provide graduate students with an applied knowledge in making professional GIS maps, cartography methods, types of geospatial data, choosing and applying analytical methods for geospatial data including density analysis, interpolation and overlay analysis. Each graduate student will be assigned a research project. You will choose a research topic for your project. You will work on designing your project, data collection, data processing and analysis. 

Principles of Remote Sensing: This course will introduce fundamental concepts and develop basic skills related to the use of remote sensing data. The primary goal of the course is to introduce students to the principles of remote sensing, physics of remote sensing, spaceborne satellite systems and remote sensing data types including multispectral, hyperspectral and RADAR. Hands-on exercises will be provided to teach students how to obtain and process satellite imagery, analyze and synthesize information from remotely sensed data. Students will also be able to communicate findings. In addition, students will be assigned a research project for mastering digital image processing techniques for environmental applications. 

Remote Sensing Data and Applications: This course assumes students have a prior knowledge in the basics of remote sensing and have experience with digital image processing software, particularly ENVI. Students will develop a strong understanding of the tools and techniques used to display, process and analyze remotely sensed data. Upon completion of this course students will be able to develop analytical workflows to derive products and extract information from remotely sensed data for a broad range of applications that include wetlands, water quality, coastal changes, vegetation analysis, mineral resources, land use and land cover changes. throughout the course students confront realistic problem scenarios that will test their ability to apply the tools and techniques covered in the course. The culmination of this course is an independent final project in which students will demonstrate their ability to apply new skills to a real-world situation of personal or professional interest.

Data Mining: Data models, distributed databases, special databases, statistical databases, database machines, knowledge bases, database design theory and self-documenting databases.

Career Paths for Geospatial Sciences

This program will help you continue into post-graduate studies in geospatial sciences. It can also give you an advanced exposure to geospatial sciences, additional training to resume or change careers or additional preparation to purse professional students in the earth sciences.

Primary Careers