GIST 1200 - Geospatial Foundations MATH 1400 - College Algebra
- Subject
- GIST
- Type
- course
- Edition
- 2026-2027
- Source
- www.uwyo.edu
41 courses with the subject GIST, each shown exactly as we captured it from the college's catalog, with every element we hold. Where the wording looks broken, that is our reading of the catalog, not the college's text.
GIST 1200 - Geospatial Foundations MATH 1400 - College Algebra
Provides fundamental knowledge of geospatial information and place-based science across disciplines, including spatial representation, scale, resolution, map projections, and coordinate systems. Students learn how to discover and access spatial data and read and analyze maps. Supports understanding of geospatial reasoning and cognition. Max Credit: 3 Former Course Number: GIST 1100
This course covers cartographic theory, techniques, and hands- on map-making. Students design thematic and reference maps using different platforms including web mapping. Students learn principles of graphic design and data journalism for effective communication, and they evaluate map purpose, design, data quality, and cognitive and political bias in maps. Max Credit: 3 USP 2015 Code: U5C2
Applications (USP:PN) or GIST 4130 - Applied Remote Sensing
Geospatial Information Science and Technology Introductory geospatial programming course covering the basic concepts and features of the Python scripting language, including data structures and functions, and the development of basic GIS scripting skills. Students implement spatial data collection, processing, and presentation methods for automating geospatial analyses. Max Credit: 3 Former Course Number: GIST 2150
Covers fundamental principles, concepts, and applications of spatial data visualization. Students will learn to find, understand and act on spatial patterns, associations and trends, and to use and critique powerful graphical representations of spatial data including 3D maps, web maps, interactive graphics, and animations. Max Credit: 3
Upper Division Elective, Pick TWO Systems
This is a combined lecture and computer lab course designed to present the physical principles of remote sensing, the application of airborne and satellite imagery to the study of the earth's surface with an emphasis on vegetation, and the hands- on application or remote sensing principles using digital image processing. Max Credit: 3 USP 2003-2014 Code: Q Former Course Number: GIST 3111
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. Max Credit: 3
On-campus and online course including lecture and digital image processing lab. Explores advanced remote sensing techniques including high spatial and spectral resolution data analysis, active remote sensing (radar and lidar), and advanced image classification. Other advanced topics may be discussed as needed. Max Credit: 3
Mathematics and Statistics GIST 4420 - UAS Mission Planning Requirement:
This 1-credit online course taught over 8 weeks provides a detailed overview of mission planning for UAS (drone) data collectionStudents 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. Dual Listed: GIST 5420 .
Mathematics requirement (fulfills USP Q requirement): GIST 4440 - UAS Ground School and
472
Additional Requirements/Program Information Experiential Learning Requirement:
Information Science and Technology Discipline Concentration Requirement:
Information Science and Technology Provide undergraduates with the opportunity to receive credit for practical experience in geospatial information science and technology. Internship opportunities must be approved by faculty and work supervisors. Max Credit: (Max. 12)
Geospatial Information Science and Technolog GIST Electives:
must be taken twice with second occurence in the s semester as GIST5780. /
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. Max Credit: 3 Former Course Number: GEOG 5050]
Information Science and Technology 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-based (poster). Max Credit: 3
Combined online lecture and laboratory course introduces students to fundamental principles and techniques of remote sensing and the application of digital satellite and aerial imagery to the study of the earth's surface. Includes hands-on application of digital imaging processing techniques discussed in lecture. Max Credit: 3 Former Course Number: [BOT 5111; GEOG 5111]
Electives (9 Credits) Total: 15 Credits Total: 15 Credits Core Requirements
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. Max Credit: 3
Introduces scripting and programming for processing and analyzing geospatial data. The scripting aspect of the course emphasizes the automating of geospatial processes and the customizing of geospatial technologies and tools. The programming aspect of the course emphasizes the use and development of computational models to simulate and understand geographical phenomena. Max Credit: 3
This online lecture and lab course emphasizes advanced theory and hands-on practice for creating applying interactive, dynamic, and multidimensional graphical representations of geographic data. Students will be introduced to web programming to allow them to develop mobile and online visualization tools. Max Credit: 3
On-campus and online course including lecture and digital image processing lab. Explores advanced remote sensing techniques including high spatial and spectral resolution data analysis, active remote sensing (radar and lidar), and advanced image classification. Other advanced topics may be discusses as needed. Max Credit: 3
Electives (6 Credits) Total: 15 Credits Total: 15 Credits Core Requirements
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. Max Credit: 1
With a combination of lecture-based information and hands-on lab exercises, students learn to design, develop, and implement web- and internet-based GIS and mapping applications. Commonly used web and internet GIS tools are used, and students learn to assess the quality, utility, and legal aspects of web GIS products. Max Credit: 3
This course provides a comprehensive overview of the design, development, and management of enterprise GIS platforms. In addition to learning about enterprise architecture, students set up cloud services for managing, sharing, and processing spatial data using proprietary and open source tools. Max Credit: 3
This 1-credit online course taught over 8 weeks provides a detailed overview of the types of drones used for modern remote sensing and of the sensors that can be used with these different drone platforms to collect data, including RGB and multi-spectral cameras, thermal sensors, and lidar. Max Credit: 1 Dual Listed: GIST 4410 .
This 1-credit online course provides a detailed overview of mission planning for UAS (drone) data collectionStudents 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 1127
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 collectionStudents also learn about how to operate drones safely in both personal and professional applicationsCourse content helps prepare students for FAA remote pilot certification. Max Credit: 1 Dual Listed: GIST 4430 .
Electives: 9 credits Core Requirements:
Information Science and Technology Advanced and specialized topics in GIS&T are addressed through guided student discussions of current literature and possible hands-on analyses. Max Credit: 6 Dual Listed: GIST 4790 .
This course provides credit for students who are conducting thesis research and for students who have finished their coursework and are writing their master's degree thesis. Max Credit: 24 German GERM 1010 - First Year German I Explores fundamentals of grammar, composition, conversation and reading. Credits: 4 Max Credit: 4 USP 2015 Code: U5H
Source: University of Wyoming's catalog, linked per course · table learning_unit · CourseShelf publish 59