Geographic Information Science (GC)
The goal of the program is to educate students in Remote Sensing, Geographic Information System (GIS), Global Positioning System (GPS), geovisualization, geoanalytics, geospatial modeling, and various associated sciences. The program provides students the skills necessary to investigate spatio-temporal patterns that result from human-environmental interactions. Emphasis is on vector and raster based models in Geography, Social Sciences, Business, Physical and Environmental Sciences, Health, Engineering, Recreation, and Resource Management. It is designed for students who want to acquire or advance their knowledge in the field of geospatial sciences, and for professionals who need these skills for their current careers. The primary objective of the certificate program is to provide necessary exposure to geospatial data, concepts, methods, tools, models, and programing knowledge so that students can evaluate geospatial issues and construct appropriate plans of action. The certificate provides background and training to enable students to enter careers in the public or private sectors, and to prepare them for higher study in geospatial sciences.
The courses in the GISc certificate introduce the main concepts and basic principles of geographic information systems and their use in spatial analysis and, information management.
Gainful Employment Program Information
The Minnesota State System makes available data for some of Minnesota State Mankato's undergraduate and graduate certificate programs. Information includes: program length, program costs, students borrowing money, licensure requirements, college scorecard and additional information.
Course Number Updates: GEOG580 seminar classes are now GEOG582: GIS for Natural Resources & GEOG585: Programming for GIS.
Program
Requirements
Common Core
Comprehensive examination of GIS for manipulation and analysis of spatially-referenced data, including data structure and organization, input and output problems, data management, and strategies for analytical work.
Prerequisites:
none
This is an introductory course on theories and techniques of remote sensing. Focus will be placed on providing students with a general overview of the application of remote sensing to practical problems, and hands-on experiencee for image processing and analysis.
Prerequisites:
none
Discussion and analysis of contemporary issues in the field of Geographic Techniques. Designed to allow in-depth focus on current problems/issues that geographers will encounter in their professional practice. Topics vary according to instructor.
Prerequisites:
none
Restricted Electives
Four major sets of ideas will be covered: (1) Introduction to Spatial Organization, (2) Network Analysis, (3) Allocation Methods, and (4) Urban Transportation. The emphasis is on these approaches to understanding the geography of transport by description, explanation, and normative or optimal methods.
Prerequisites:
none
This course will cover basic strategies for conducting field surveys and gathering from the real world data appropriate to mapping the earth's surface. Emphasis will be upon simple but reliable techniques, ranging from compass-and-pacing to global positioning systems (GPS).
Prerequisites:
none
This course will introduce students to the fundamental knowledge and techniques of open-source GIS and geospatial data analysis. Students will learn the basic and advanced GIS functions in QGIS, a popular open-source GIS with advanced capabilities. The major topics that will be covered include open-source GIS data standards; working with projections and available GIS data; making maps in QGIS; spatial and attribute data query, editing, and manipulation; multi-criteria overlay analysis; raster image styling and analysis; 3D and terrain analysis; spatial pattern analysis; spatial interpolation; automating map creation and complex workflows using processing models; customize and extend QGIS.
Prerequisites:
none
Descriptive statistics, probability, hypothesis testing, introduction to non-parametric statistics, correlation, introduction to regression analysis, spatial statistics and principles of data representation in graphs, tables and statistical results.
Prerequisites:
none
Survey of theoretical frameworks for spatial analysis and geographic quantitative methods. Includes basic and advanced spatial analysis principles and methods for studying and examining spatial patterns. Designed to equip students with the knowledge and skills necessary for carrying our research projects that demand spatial point pattern analysis and analysis of areal units.
Prerequisites:
none
This offering will include supervised project work in raster-based and/or vector-based GIS, using problems and data drawn from local or regional agencies or other professional-level organizations with whom the Geography Department maintains a relationship. Students must have completed one of the prerequisite courses, or professional-level experience.
Prerequisites:
none
This course teaches students to reconstruct past landscapes and identify environmental hazards related to historical land use using GIS and remote sensing software. Applications include the identification of hazardous waste sites, wetland drainage, bluff erosion and other environmental hazards relevant to local history research, environmental consulting, archaeology, resource management, real estate, planning and civil engineering. Students will learn to use and interpret historical air photos and maps, digital imagery and LiDAR in problem-solving contexts and to report research findings in effective written, graphic and verbal presentation formats used by government agencies and private consulting firms.
Prerequisites:
GEOG 373 and GEOG 673
This course provides students as well as natural resource professionals the opportunity to develop knowledge of natural resources management based on GIS science. Detailed examples and discussions of GIS operations and analyses associated with managing natural resources are provided. Weekly labs and the final project will focus on various GIS applications in this field. For example, integrating GIS and remote sensing techniques for sustainable land development, conservation biology, forest, water, wetland, wildlife, and agriculture management. Students will also learn how to combine GIS concepts with GIS software skills and apply them to real-world natural resources management tasks.
Prerequisites:
none
In this course, instruction is provided on foundational knowledge related to cloud mapping and visualization of geographical data. In addition, primarily through ArcGIS Online cloud platform, students will be introduced to the concepts of Hosted Layers, Web Maps, Predominance Maps, Web Apps, Story Maps, Web AppBuilder, Widgets, Geodata Visualization, ArcGIS Arcade Expressions, Custom Pop-ups, 3D Mapping and Visualization, ArcGIS Scene Viewer, Visualize Temporal Change, Real-time Mapping, Mapping Internet of Things, Landsat Explorer, and Business Analyst. Cloud mapping and visualization theories and techniques are introduced through a combination of lectures, hands-on exercises, reading materials, and individual or team projects.
Prerequisites:
none
Foundational knowledge related to mapping and analysis of geospatial data using both open source and enterprise level Web Mapping and Web GIS platforms. Students will learn how to use HTML, CSS, JavaScript, Google Maps API, ArcGIS Online, and ArcGIS API for JavaScript to store, retrieve, manage, analyze, and display geographical information. Students will be introduced to the concepts of mobile GIS technologies and Web based 3D mapping.
Prerequisites:
none
This is an introductory course of GIS programming. It consists of lecture and laboratory components covering fundamentals of GIS programming concepts and techniques, as well as hands-on practice with Model builder and Python supported by ESRI'S ArcGIS platforms.
Prerequisites:
none
Degree Plan
First Year
Comprehensive examination of GIS for manipulation and analysis of spatially-referenced data, including data structure and organization, input and output problems, data management, and strategies for analytical work.
Prerequisites:
none
This is an introductory course on theories and techniques of remote sensing. Focus will be placed on providing students with a general overview of the application of remote sensing to practical problems, and hands-on experiencee for image processing and analysis.
Prerequisites:
none
Discussion and analysis of contemporary issues in the field of Geographic Techniques. Designed to allow in-depth focus on current problems/issues that geographers will encounter in their professional practice. Topics vary according to instructor.
Prerequisites:
none
Elective Course in Major *
3 credits
Elective Course in Major *
4 credits
