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Graduate Courses

Graduate Classes in Geospatial Information Science and Technology (GIST)

USP Codes are listed in brackets by the 2003 USP code followed by the 2015 USP code (e.g., [QB<>Q]).


GIST 5002 – Geospatial Forum. [1] (On-campus and online) Students attend a geospatial sciences speaker series and contribute by presenting their proposed or completed research to faculty and other students in a professional manner analogous to presenting scientific research at professional meetings.


GIST 5050 - Database Design and Management. [3] Centers on the role of information technology in support of scientific research. Through integration of multiple software packages (e.g. Relational databases, ProgramR and ArcGIS), proven database designs, and SQL scripting,  increased efficiency and utility will occur during data analyses. These information science principles are demonstrated using project-based examples.


GIST 5100 - Foundations of GIS&T. [3] This online and on-campus graduate-level course provides an introduction to key concepts in geospatial information science and technology (GIST) including spatial data structures, coordinate systems, cartographic principles, spatial analysis, modeling, spatial cognition, and applications of GIS in a multidisciplinary context. Lecture and project (poster)-based.


GIST 5111 – Introduction to Remote Sensing. [3] (Online) This is an online lecture and computer lab course designed to present: 1) the physical principles of remote sensing, 2) the application of airborne and satellite imagery to the study of the earth’s surface, and 3) the hands-on application of remote sensing principles using the Erdas Imagine image processing program in lab exercises. The schedule of lectures and labs are coordinated.


GIST 5120 – Integrating Remote Sensing and GIS. [3] (Online) Many geospatial analyses involve combining remotely sensed (RS) data and products with other geospatial data stored in GIS. This 3-credit online course will overview the topics pertaining to the integration of RS data in raster format with GIS data stored in vector format, along with issues associated with combining data collected at different resolutions and scales.


GIST 5130 - Applied Remote Sensing for Agricultural Management. [3] Covers remote sensing concepts and applications related to croplands, rangelands, forests, and water. Students learn techniques for monitoring plant growth and vigor, monitoring rangelands, distinguishing invasive species, categorizing forest fires, and mapping water bodies. Students integrate remotely sensed data with other geospatial data. Dual listed with GIST 4130. 


GIST 5150 - Advanced Programming in Spatial Sciences. [3] Introduces GIS programming to motivated students with little or no prior experience in programming; students develop programming skills used to understand geospatial data and to model geographical changes. Programming skills for handling emerging data types are emphasized.


GIST 5200 – Geographic Visualization. [3] (Online) Course emphasis is on advanced theory and hands-on practice in learning to create and apply interactive, dynamic and multidimensional graphical representations of geographic data. The graphical representations are intended to facilitate the production and use of geographic knowledge in various application domains. Students will be introduced to Web programming to allow them to develop various kinds of online and mobile visualization tools. They will learn about and apply different approaches to evaluate the usability of the tools they create.


GIST 5220 - Spatial Modeling and Data Analysis. [3] Using raster modeling, hybrid vector/raster approaches, and gecomputational techniques, this course will explore a variety of modeling concepts and related issues. This course will examine a variety of both practical and theoretical issues, with special emphasis on understanding spatial questions that are not readily addressed by basic GIS. We will also consider issues related to error, resolution, scale, and a variety of other factors. 


GIST 5280 - Navigating GIST Professions. [1] Online. An introduction to work in the geospatial profession for online GIST master's program students. Focus is on workplace, management and occupation-specific competencies across and within specific domain application areas. Topics include evaluation and appropriate use of technology and data, developing career pathway options, the role of professional certification, and the value of continuing education and professional network connections.


GIST 5410 - UAS Sensors and Platforms. [1] This 1-credit online course meets for 8 weeks and provides a detailed overview of the types of drones used for modern remote sensing and of the sensors that can be used with these drone platforms to collect data, including RGB and multi-spectral cameras, thermal sensors, and lidar. 


GIST 5420 - UAS Mission Planning. [1] This 1-credit online course provides a detailed overview of mission planning for UAS (drone) data collection. Students learn to evaluate mission requirements for a variety of UAS applications, to choose appropriate hardware to accomplish these requirements, and to use mission planning software to translate requirements into flight plans and data collection strategies.


GIST 5430 - UAS Regulations and Safety. [1] This 1-credit online course taught over 8 weeks provides students with a detailed overview of federal, state, and local regulations pertaining to UAS flights and data collection. Students also learn about how to operate drones safely in both personal and professional applications. Course content helps prepare students for FAA remote pilot certification.


GIST 5440 - UAS Ground School and Operations. [2] This 2-credit field course gives students hands-on experience operating UASs. (drones).  Students will review UAS regulations and safety standards, discuss weather and other environmental considerations, and become proficient at operating UASs in the field.


GIST 5450 - UAS Photogrammetry and Imagery Process. [3] This 3-credit online course provides overviews of the photogrammetric principles related to imagery data acquired by unmanned aerial vehicles or drones, and the image processing techniques used for extracting information from the drone images. Students will gain experience in processing drone imagery collected with RGB cameras and multi-spectral sensors. Dual listed with GIST 5450. Prerequisite: Junior/Senior standing or approval from the instructor.


GIST 5790 - Special Topics in Geospatial Information Science and Technology. [3] Advanced and specialized topics in GIS&T are addressed through guided student discussions of current literature and possible hands-on analyses. Dual listed with GIST 4790.


We will be adding more courses, when approved, to this list.

 


Ken Driese

Have questions or want
to find out more?

Contact our program advisor:
Ken Driese
gist@uwyo.edu
307-766-2532

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