Core courses are available regularly each semester to help you meet degree timelines, and a revolving number of experimental Special Topics courses introduce you to new and innovative frontiers in geospatial science. Many of our courses can be completed through Online Education<\/a> as well as on-campus. We encourage students to review the course catalog<\/a> each semester for up-to-date course offerings, credit hours, required pre-requisites, and other enrollment details and requirements.<\/p>\n\n\n\nCurrent offerings are listed below. Many are core to the Graduate Certificate in GIS<\/a>, Master of Geospatial Information Science and Technology<\/a> or Ph.D. in Geospatial Analytics<\/a>. For the most up-to-date information about each course, be sure to refer to the syllabus provided to you by your instructor. Topics and schedules are subject to change.\u00a0<\/p>\n\n\n\nFor the most up-to-date course information:<\/p>\n\n\nVisit the NC State Course Catalog<\/span>\n\t\t<\/use>\n<\/svg>\n<\/span><\/a><\/div>\n\n<\/div>\n\n\n\n\nUndergraduate Education<\/h2>\n\n\n\nCourses<\/h3>\n\n\n\nGIS 205 Spatial Thinking with GIS<\/strong> (3 credit hours)Spatial thinking and how it relates to the basic foundations of geospatial science and geographic information systems (GIS) are introduced. Students will learn to tell stories through maps using geographic information and geospatial data and analysis by applying spatial reasoning through a series of interactive assignments and discussions. Students will learn to define spatial problems and design solutions across a variety of disciplines, setting the stage for additional technical coursework in GIS and Geospatial Science.GEP Interdisciplinary Perspectives<\/em>Typically offered in Spring only<\/em><\/p>\n\n\n\nGIS 280 Introduction to GIS<\/strong> (3 credit hours)This course provides an overview of the operations and functions of geographic information systems [GIS]. Students develop a fundamental understanding of geographic information management and analysis methods. Emphasis is placed on the nature of geographic information, working with spatial data, and elementary geospatial analysis and modeling techniques. Students learn effective operation of GIS software and gain exposure to GIS tools that support these emphasis areas. Extensive independent learning and computer experiences include online laboratory sessions, alongside optional online or in-person weekly help sessions.Typically offered in Fall and Spring<\/em><\/p>\n\n\n\nGIS 295\/495 Special Topics in Geospatial Information Science<\/strong> (1-4 credit hours)Special Topics in Geospatial Information Science at the 200 level for offering courses on an experimental basis.Availability changes each semester<\/em><\/p>\n\n\n\nGraduate Education<\/h2>\n\n\n\n \n\nCourses<\/h2>\n\nGIS\u00a0501<\/strong><\/span>\u00a0\u00a0Geospatial Professionalism<\/strong><\/span>\u00a0\u00a0(1 credit hours)<\/span>\u00a0\u00a0<\/div>Students will examine a variety of topics critical to successful navigation of the geospatial profession, with an emphasis on map communication and presentation, interpreting geospatial research, the ethical, legal, and social implications (ELSI) of using spatial data, metadata concepts, and linking results to policy actions. Students will engage in several writing, presentation, and interpretation exercises.<\/p><\/div><\/div><\/div>Typically offered in Fall and Spring<\/em><\/p><\/div><\/div><\/div>GIS\u00a0510<\/strong><\/span>\u00a0\u00a0Fundamentals of Geospatial Information Science and Technology<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>This course provides an advanced overview of how geographic information systems [GIS] facilitate data analysis and communication to address common geographic problems. Students improve spatial reasoning and problem definition expertise while emphasizing geographic data models and structures, data manipulation and storage, customization through programming, and the integration of geospatial analysis and modeling into project-based problem solving applicable to a variety of disciplines. Skilled application of both desktop and cloud-based GIS software supports these areas. Extensive independent learning and computer experiences include virtual laboratory sessions, alongside optional online or in-person weekly help sessions to facilitate student learning.<\/p><\/div>Prerequisite: Graduate Standing or PBS or Permission of Instructor<\/p><\/div><\/div>Typically offered in Fall and Spring<\/em><\/p><\/div><\/div><\/div>GIS\u00a0511\/GIS\u00a0411<\/span><\/strong><\/span>\u00a0\u00a0Coding for Geospatial Applications<\/strong><\/span>\u00a0\u00a0(2 credit hours)<\/span>\u00a0\u00a0<\/div>Exploration of the intersection between coding and Geographic Information Systems. This course provides a broad overview of coding platforms commonly used in geospatial applications, with an emphasis on basic Python programming skills for geospatial tasks related to spatial data science and visualization. Prior programming experience is not required or expected. Some GIS experience is preferred. Students in the GIS and Spatial Data Science minor may opt to take this course in the same semester as GIS\u00a0450<\/span> when available.<\/p><\/div>Prerequisite: GIS\u00a0280<\/span><\/p><\/div><\/div>Typically offered in Fall only<\/em><\/p><\/div><\/div><\/div>GIS\u00a0512<\/strong><\/span>\u00a0\u00a0Introduction to Environmental Remote Sensing<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>Principles and hands-on techniques for processing and analyzing remotely sensed data for natural resource applications. Topics include review of the electromagnetic spectrum, pre-processing (georectification, enhancements and transformations), processing (visual interpretation, indices, supervised and unsupervised classification) and post-processing (masking, change analysis and accuracy assessment) of digital image data. This course will provide students with fundamental concepts and skills needed to pursue further studies in digital processing of remotely sensed data.<\/p><\/div><\/div><\/div>Typically offered in Spring only<\/em><\/p><\/div><\/div><\/div>GIS\u00a0515<\/strong><\/span>\u00a0\u00a0Cartographic Design<\/strong><\/span>\u00a0\u00a0(2 credit hours)<\/span>\u00a0\u00a0<\/div>Principles of cartographic design and how to apply them to produce high-quality geographic information system (GIS) based maps. Successful students will acquire an understanding of map design and experience applying it with GIS software. Students produce project maps in both print and web media.<\/p><\/div>Prerequisite: GIS\u00a0510<\/span><\/p><\/div><\/div>Typically offered in Spring only<\/em><\/p><\/div><\/div><\/div>GIS\u00a0517\/LAR\u00a0517<\/span><\/strong><\/span>\u00a0\u00a0GIS Applications in Landscape Architecture and Environmental Planning<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>Introduction to the methods and applications of geographic spatial modeling technology in landscape architecture and environmental planning.<\/p><\/div><\/div><\/div>Typically offered in Fall only<\/em><\/p><\/div><\/div><\/div>GIS\u00a0520<\/strong><\/span>\u00a0\u00a0Geospatial Data Science and Analysis<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>This course provides exposure to and practice applying a variety of geospatial analysis methods and tools to support decision-making. Students will use both ArcGIS Pro and the R(TM) programming language and briefly explore the interoperability between these platforms. Using both platforms, we will practice data cleaning and processing, as well as descriptive and inferential spatial analysis methods. Students will learn to identify common limitations and special considerations that arise when working with geospatial data workflows and will learn how to leverage multiple tools to develop appropriate analysis methods. This course will be a combination of lectures and hands-on software training. Prior knowledge of GIS fundamentals is required.<\/p><\/div>Prerequisite: GIS\u00a0510<\/span><\/p><\/div><\/div>Typically offered in Fall and Spring<\/em><\/p><\/div><\/div><\/div>GIS\u00a0521<\/strong><\/span>\u00a0\u00a0Surface Water Hydrology with GIS<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>The application of geographic information systems (GIS) to surface water modeling including stream and watershed delineations, regulatory wetlands jurisdiction determinations, and flood mapping. In addition students will develop spatial computation methods to support hydrological analysis in land use planning, landscape management, and engineering assessments.<\/p><\/div>Prerequisite: GIS\u00a0510<\/span> or PA\u00a0541<\/span> or SSC\u00a0440<\/span><\/p><\/div><\/div>Typically offered in Fall and Spring<\/em><\/p><\/div><\/div><\/div>GIS\u00a0530<\/strong><\/span>\u00a0\u00a0Spatial Data Foundations<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>This course focuses on geospatial information systems from a mathematical and information science perspective. We discuss theoretical frameworks for conceptualizing geographic data, including levels of measurement, data control, and the vector data and raster data paradigms. Then we discuss the geometric underpinnings of geospatial systems: representing data with geographic elements, spatial referencing systems, and projection. Next, we explore map-related topology and computational geometry concepts. Finally, we survey the algorithms for core spatial manipulations, such as interpolation and polygon operations.<\/p><\/div>Prerequisite: GIS\u00a0510<\/span> or PA\u00a0541<\/span> or SSC\u00a0440<\/span><\/p><\/div><\/div>Typically offered in Fall and Spring<\/em><\/p><\/div><\/div><\/div>GIS\u00a0535<\/strong><\/span>\u00a0\u00a0Web and Mobile GIS Protocols<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>This course examines the design, development and deployment of web and mobile geospatial applications using internet and web-based protocols. Throughout the course, students will develop and deploy web and mobile GIS maps and applications relevant to their career using on-premises hosted infrastructure. Course participants will be required to complete assignments with data relevant to their interests. Additionally, students will search for and examine scientific and popular literature to understand how the course concepts are being employed and to foster ideas and discussion.<\/p><\/div>Prerequisite: GIS\u00a0510<\/span><\/p><\/div><\/div>Typically offered in Fall only<\/em><\/p><\/div><\/div><\/div>GIS\u00a0540<\/strong><\/span>\u00a0\u00a0Geospatial Programming<\/strong><\/span>\u00a0\u00a0(4 credit hours)<\/span>\u00a0\u00a0<\/div>This course equips students with essential skills for geospatial programming. Topics include computer programming to call geospatial processing tools, batch process, performing file reading\/writing, and generating displays. To support these tasks, students learn basic programming concepts, such as pseudocode, flow-control, code reuse, and debugging. In the final project, students streamline GIS workflows and customize GIS user interfaces. Familiarity with GIS software is required, but no prior programming experience is expected.<\/p><\/div>Prerequisite: GIS\u00a0510<\/span><\/p><\/div><\/div>Typically offered in Fall and Spring<\/em><\/p><\/div><\/div><\/div>GIS\u00a0550<\/strong><\/span>\u00a0\u00a0Geospatial Data Structures and Web Services<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>This course examines the spatial database models and structures used in geospatial information science and technology as well as the design and implementation of web and related mobile computing geospatial tools and systems. Students develop, evaluate, and deploy multiple spatial data models and web services that include connections to external data sources and systems.<\/p><\/div>Prerequisite: GIS\u00a0540<\/span><\/p><\/div><\/div>Typically offered in Fall and Spring<\/em><\/p><\/div><\/div><\/div>GIS\u00a0582\/MEA\u00a0582<\/span><\/strong><\/span>\u00a0\u00a0Geospatial Modeling<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>The course provides foundations in methods for GIS-based surface analysis and modeling. The topics include proximity analysis with cost surfaces and least cost paths, multivariate spatial interpolation and 3D surface visualization. Special focus is on terrain modeling, geomorphometry, solar irradiation, visibility, and watershed analysis. Students are also introduced to the basic concepts of landscape process modeling with GIS and to the principles of open source GIS. Introductory level knowledge of GIS or surveying\/ geomatics principles is required.<\/p><\/div><\/div><\/div>Typically offered in Fall and Spring<\/em><\/p><\/div><\/div><\/div>GIS\u00a0584\/MEA\u00a0584<\/span><\/strong><\/span>\u00a0\u00a0Mapping and Analysis Using UAS<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>The course provides an overview of UAS mapping technology and its rules and regulations. The principles of UAS data collection are explained along with optional hands-on practice with in flight planning and execution. The main focus is on processing imagery collected from UAS using structure from motion techniques and deriving orthophoto mosaics and ultra-high resolution digital elevation models of land surface, vegetation and structures. More advanced topics include multi-temporal 3D data analysis, fusion with lidar data and 3D visualization.<\/p><\/div>Prerequisite: GIS\u00a0510<\/span> or GIS\/MEA\u00a0582<\/span> or Permission of Instructor<\/p><\/div><\/div>Typically offered in Fall only<\/em><\/p><\/div><\/div><\/div>GIS\u00a0590<\/strong><\/span>\u00a0\u00a0
Current offerings are listed below. Many are core to the Graduate Certificate in GIS<\/a>, Master of Geospatial Information Science and Technology<\/a> or Ph.D. in Geospatial Analytics<\/a>. For the most up-to-date information about each course, be sure to refer to the syllabus provided to you by your instructor. Topics and schedules are subject to change.\u00a0<\/p>\n\n\n\nFor the most up-to-date course information:<\/p>\n\n\nVisit the NC State Course Catalog<\/span>\n\t\t<\/use>\n<\/svg>\n<\/span><\/a><\/div>\n\n<\/div>\n\n\n\n\nUndergraduate Education<\/h2>\n\n\n\nCourses<\/h3>\n\n\n\nGIS 205 Spatial Thinking with GIS<\/strong> (3 credit hours)Spatial thinking and how it relates to the basic foundations of geospatial science and geographic information systems (GIS) are introduced. Students will learn to tell stories through maps using geographic information and geospatial data and analysis by applying spatial reasoning through a series of interactive assignments and discussions. Students will learn to define spatial problems and design solutions across a variety of disciplines, setting the stage for additional technical coursework in GIS and Geospatial Science.GEP Interdisciplinary Perspectives<\/em>Typically offered in Spring only<\/em><\/p>\n\n\n\nGIS 280 Introduction to GIS<\/strong> (3 credit hours)This course provides an overview of the operations and functions of geographic information systems [GIS]. Students develop a fundamental understanding of geographic information management and analysis methods. Emphasis is placed on the nature of geographic information, working with spatial data, and elementary geospatial analysis and modeling techniques. Students learn effective operation of GIS software and gain exposure to GIS tools that support these emphasis areas. Extensive independent learning and computer experiences include online laboratory sessions, alongside optional online or in-person weekly help sessions.Typically offered in Fall and Spring<\/em><\/p>\n\n\n\nGIS 295\/495 Special Topics in Geospatial Information Science<\/strong> (1-4 credit hours)Special Topics in Geospatial Information Science at the 200 level for offering courses on an experimental basis.Availability changes each semester<\/em><\/p>\n\n\n\nGraduate Education<\/h2>\n\n\n\n \n\nCourses<\/h2>\n\nGIS\u00a0501<\/strong><\/span>\u00a0\u00a0Geospatial Professionalism<\/strong><\/span>\u00a0\u00a0(1 credit hours)<\/span>\u00a0\u00a0<\/div>Students will examine a variety of topics critical to successful navigation of the geospatial profession, with an emphasis on map communication and presentation, interpreting geospatial research, the ethical, legal, and social implications (ELSI) of using spatial data, metadata concepts, and linking results to policy actions. Students will engage in several writing, presentation, and interpretation exercises.<\/p><\/div><\/div><\/div>Typically offered in Fall and Spring<\/em><\/p><\/div><\/div><\/div>GIS\u00a0510<\/strong><\/span>\u00a0\u00a0Fundamentals of Geospatial Information Science and Technology<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>This course provides an advanced overview of how geographic information systems [GIS] facilitate data analysis and communication to address common geographic problems. Students improve spatial reasoning and problem definition expertise while emphasizing geographic data models and structures, data manipulation and storage, customization through programming, and the integration of geospatial analysis and modeling into project-based problem solving applicable to a variety of disciplines. Skilled application of both desktop and cloud-based GIS software supports these areas. Extensive independent learning and computer experiences include virtual laboratory sessions, alongside optional online or in-person weekly help sessions to facilitate student learning.<\/p><\/div>Prerequisite: Graduate Standing or PBS or Permission of Instructor<\/p><\/div><\/div>Typically offered in Fall and Spring<\/em><\/p><\/div><\/div><\/div>GIS\u00a0511\/GIS\u00a0411<\/span><\/strong><\/span>\u00a0\u00a0Coding for Geospatial Applications<\/strong><\/span>\u00a0\u00a0(2 credit hours)<\/span>\u00a0\u00a0<\/div>Exploration of the intersection between coding and Geographic Information Systems. This course provides a broad overview of coding platforms commonly used in geospatial applications, with an emphasis on basic Python programming skills for geospatial tasks related to spatial data science and visualization. Prior programming experience is not required or expected. Some GIS experience is preferred. Students in the GIS and Spatial Data Science minor may opt to take this course in the same semester as GIS\u00a0450<\/span> when available.<\/p><\/div>Prerequisite: GIS\u00a0280<\/span><\/p><\/div><\/div>Typically offered in Fall only<\/em><\/p><\/div><\/div><\/div>GIS\u00a0512<\/strong><\/span>\u00a0\u00a0Introduction to Environmental Remote Sensing<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>Principles and hands-on techniques for processing and analyzing remotely sensed data for natural resource applications. Topics include review of the electromagnetic spectrum, pre-processing (georectification, enhancements and transformations), processing (visual interpretation, indices, supervised and unsupervised classification) and post-processing (masking, change analysis and accuracy assessment) of digital image data. This course will provide students with fundamental concepts and skills needed to pursue further studies in digital processing of remotely sensed data.<\/p><\/div><\/div><\/div>Typically offered in Spring only<\/em><\/p><\/div><\/div><\/div>GIS\u00a0515<\/strong><\/span>\u00a0\u00a0Cartographic Design<\/strong><\/span>\u00a0\u00a0(2 credit hours)<\/span>\u00a0\u00a0<\/div>Principles of cartographic design and how to apply them to produce high-quality geographic information system (GIS) based maps. Successful students will acquire an understanding of map design and experience applying it with GIS software. Students produce project maps in both print and web media.<\/p><\/div>Prerequisite: GIS\u00a0510<\/span><\/p><\/div><\/div>Typically offered in Spring only<\/em><\/p><\/div><\/div><\/div>GIS\u00a0517\/LAR\u00a0517<\/span><\/strong><\/span>\u00a0\u00a0GIS Applications in Landscape Architecture and Environmental Planning<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>Introduction to the methods and applications of geographic spatial modeling technology in landscape architecture and environmental planning.<\/p><\/div><\/div><\/div>Typically offered in Fall only<\/em><\/p><\/div><\/div><\/div>GIS\u00a0520<\/strong><\/span>\u00a0\u00a0Geospatial Data Science and Analysis<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>This course provides exposure to and practice applying a variety of geospatial analysis methods and tools to support decision-making. Students will use both ArcGIS Pro and the R(TM) programming language and briefly explore the interoperability between these platforms. Using both platforms, we will practice data cleaning and processing, as well as descriptive and inferential spatial analysis methods. Students will learn to identify common limitations and special considerations that arise when working with geospatial data workflows and will learn how to leverage multiple tools to develop appropriate analysis methods. This course will be a combination of lectures and hands-on software training. Prior knowledge of GIS fundamentals is required.<\/p><\/div>Prerequisite: GIS\u00a0510<\/span><\/p><\/div><\/div>Typically offered in Fall and Spring<\/em><\/p><\/div><\/div><\/div>GIS\u00a0521<\/strong><\/span>\u00a0\u00a0Surface Water Hydrology with GIS<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>The application of geographic information systems (GIS) to surface water modeling including stream and watershed delineations, regulatory wetlands jurisdiction determinations, and flood mapping. In addition students will develop spatial computation methods to support hydrological analysis in land use planning, landscape management, and engineering assessments.<\/p><\/div>Prerequisite: GIS\u00a0510<\/span> or PA\u00a0541<\/span> or SSC\u00a0440<\/span><\/p><\/div><\/div>Typically offered in Fall and Spring<\/em><\/p><\/div><\/div><\/div>GIS\u00a0530<\/strong><\/span>\u00a0\u00a0Spatial Data Foundations<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>This course focuses on geospatial information systems from a mathematical and information science perspective. We discuss theoretical frameworks for conceptualizing geographic data, including levels of measurement, data control, and the vector data and raster data paradigms. Then we discuss the geometric underpinnings of geospatial systems: representing data with geographic elements, spatial referencing systems, and projection. Next, we explore map-related topology and computational geometry concepts. Finally, we survey the algorithms for core spatial manipulations, such as interpolation and polygon operations.<\/p><\/div>Prerequisite: GIS\u00a0510<\/span> or PA\u00a0541<\/span> or SSC\u00a0440<\/span><\/p><\/div><\/div>Typically offered in Fall and Spring<\/em><\/p><\/div><\/div><\/div>GIS\u00a0535<\/strong><\/span>\u00a0\u00a0Web and Mobile GIS Protocols<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>This course examines the design, development and deployment of web and mobile geospatial applications using internet and web-based protocols. Throughout the course, students will develop and deploy web and mobile GIS maps and applications relevant to their career using on-premises hosted infrastructure. Course participants will be required to complete assignments with data relevant to their interests. Additionally, students will search for and examine scientific and popular literature to understand how the course concepts are being employed and to foster ideas and discussion.<\/p><\/div>Prerequisite: GIS\u00a0510<\/span><\/p><\/div><\/div>Typically offered in Fall only<\/em><\/p><\/div><\/div><\/div>GIS\u00a0540<\/strong><\/span>\u00a0\u00a0Geospatial Programming<\/strong><\/span>\u00a0\u00a0(4 credit hours)<\/span>\u00a0\u00a0<\/div>This course equips students with essential skills for geospatial programming. Topics include computer programming to call geospatial processing tools, batch process, performing file reading\/writing, and generating displays. To support these tasks, students learn basic programming concepts, such as pseudocode, flow-control, code reuse, and debugging. In the final project, students streamline GIS workflows and customize GIS user interfaces. Familiarity with GIS software is required, but no prior programming experience is expected.<\/p><\/div>Prerequisite: GIS\u00a0510<\/span><\/p><\/div><\/div>Typically offered in Fall and Spring<\/em><\/p><\/div><\/div><\/div>GIS\u00a0550<\/strong><\/span>\u00a0\u00a0Geospatial Data Structures and Web Services<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>This course examines the spatial database models and structures used in geospatial information science and technology as well as the design and implementation of web and related mobile computing geospatial tools and systems. Students develop, evaluate, and deploy multiple spatial data models and web services that include connections to external data sources and systems.<\/p><\/div>Prerequisite: GIS\u00a0540<\/span><\/p><\/div><\/div>Typically offered in Fall and Spring<\/em><\/p><\/div><\/div><\/div>GIS\u00a0582\/MEA\u00a0582<\/span><\/strong><\/span>\u00a0\u00a0Geospatial Modeling<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>The course provides foundations in methods for GIS-based surface analysis and modeling. The topics include proximity analysis with cost surfaces and least cost paths, multivariate spatial interpolation and 3D surface visualization. Special focus is on terrain modeling, geomorphometry, solar irradiation, visibility, and watershed analysis. Students are also introduced to the basic concepts of landscape process modeling with GIS and to the principles of open source GIS. Introductory level knowledge of GIS or surveying\/ geomatics principles is required.<\/p><\/div><\/div><\/div>Typically offered in Fall and Spring<\/em><\/p><\/div><\/div><\/div>GIS\u00a0584\/MEA\u00a0584<\/span><\/strong><\/span>\u00a0\u00a0Mapping and Analysis Using UAS<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>The course provides an overview of UAS mapping technology and its rules and regulations. The principles of UAS data collection are explained along with optional hands-on practice with in flight planning and execution. The main focus is on processing imagery collected from UAS using structure from motion techniques and deriving orthophoto mosaics and ultra-high resolution digital elevation models of land surface, vegetation and structures. More advanced topics include multi-temporal 3D data analysis, fusion with lidar data and 3D visualization.<\/p><\/div>Prerequisite: GIS\u00a0510<\/span> or GIS\/MEA\u00a0582<\/span> or Permission of Instructor<\/p><\/div><\/div>Typically offered in Fall only<\/em><\/p><\/div><\/div><\/div>GIS\u00a0590<\/strong><\/span>\u00a0\u00a0
For the most up-to-date course information:<\/p>\n\n\n
GIS 205 Spatial Thinking with GIS<\/strong> (3 credit hours)Spatial thinking and how it relates to the basic foundations of geospatial science and geographic information systems (GIS) are introduced. Students will learn to tell stories through maps using geographic information and geospatial data and analysis by applying spatial reasoning through a series of interactive assignments and discussions. Students will learn to define spatial problems and design solutions across a variety of disciplines, setting the stage for additional technical coursework in GIS and Geospatial Science.GEP Interdisciplinary Perspectives<\/em>Typically offered in Spring only<\/em><\/p>\n\n\n\nGIS 280 Introduction to GIS<\/strong> (3 credit hours)This course provides an overview of the operations and functions of geographic information systems [GIS]. Students develop a fundamental understanding of geographic information management and analysis methods. Emphasis is placed on the nature of geographic information, working with spatial data, and elementary geospatial analysis and modeling techniques. Students learn effective operation of GIS software and gain exposure to GIS tools that support these emphasis areas. Extensive independent learning and computer experiences include online laboratory sessions, alongside optional online or in-person weekly help sessions.Typically offered in Fall and Spring<\/em><\/p>\n\n\n\nGIS 295\/495 Special Topics in Geospatial Information Science<\/strong> (1-4 credit hours)Special Topics in Geospatial Information Science at the 200 level for offering courses on an experimental basis.Availability changes each semester<\/em><\/p>\n\n\n\nGraduate Education<\/h2>\n\n\n\n \n\nCourses<\/h2>\n\nGIS\u00a0501<\/strong><\/span>\u00a0\u00a0Geospatial Professionalism<\/strong><\/span>\u00a0\u00a0(1 credit hours)<\/span>\u00a0\u00a0<\/div>Students will examine a variety of topics critical to successful navigation of the geospatial profession, with an emphasis on map communication and presentation, interpreting geospatial research, the ethical, legal, and social implications (ELSI) of using spatial data, metadata concepts, and linking results to policy actions. Students will engage in several writing, presentation, and interpretation exercises.<\/p><\/div><\/div><\/div>Typically offered in Fall and Spring<\/em><\/p><\/div><\/div><\/div>GIS\u00a0510<\/strong><\/span>\u00a0\u00a0Fundamentals of Geospatial Information Science and Technology<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>This course provides an advanced overview of how geographic information systems [GIS] facilitate data analysis and communication to address common geographic problems. Students improve spatial reasoning and problem definition expertise while emphasizing geographic data models and structures, data manipulation and storage, customization through programming, and the integration of geospatial analysis and modeling into project-based problem solving applicable to a variety of disciplines. Skilled application of both desktop and cloud-based GIS software supports these areas. Extensive independent learning and computer experiences include virtual laboratory sessions, alongside optional online or in-person weekly help sessions to facilitate student learning.<\/p><\/div>Prerequisite: Graduate Standing or PBS or Permission of Instructor<\/p><\/div><\/div>Typically offered in Fall and Spring<\/em><\/p><\/div><\/div><\/div>GIS\u00a0511\/GIS\u00a0411<\/span><\/strong><\/span>\u00a0\u00a0Coding for Geospatial Applications<\/strong><\/span>\u00a0\u00a0(2 credit hours)<\/span>\u00a0\u00a0<\/div>Exploration of the intersection between coding and Geographic Information Systems. This course provides a broad overview of coding platforms commonly used in geospatial applications, with an emphasis on basic Python programming skills for geospatial tasks related to spatial data science and visualization. Prior programming experience is not required or expected. Some GIS experience is preferred. Students in the GIS and Spatial Data Science minor may opt to take this course in the same semester as GIS\u00a0450<\/span> when available.<\/p><\/div>Prerequisite: GIS\u00a0280<\/span><\/p><\/div><\/div>Typically offered in Fall only<\/em><\/p><\/div><\/div><\/div>GIS\u00a0512<\/strong><\/span>\u00a0\u00a0Introduction to Environmental Remote Sensing<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>Principles and hands-on techniques for processing and analyzing remotely sensed data for natural resource applications. Topics include review of the electromagnetic spectrum, pre-processing (georectification, enhancements and transformations), processing (visual interpretation, indices, supervised and unsupervised classification) and post-processing (masking, change analysis and accuracy assessment) of digital image data. This course will provide students with fundamental concepts and skills needed to pursue further studies in digital processing of remotely sensed data.<\/p><\/div><\/div><\/div>Typically offered in Spring only<\/em><\/p><\/div><\/div><\/div>GIS\u00a0515<\/strong><\/span>\u00a0\u00a0Cartographic Design<\/strong><\/span>\u00a0\u00a0(2 credit hours)<\/span>\u00a0\u00a0<\/div>Principles of cartographic design and how to apply them to produce high-quality geographic information system (GIS) based maps. Successful students will acquire an understanding of map design and experience applying it with GIS software. Students produce project maps in both print and web media.<\/p><\/div>Prerequisite: GIS\u00a0510<\/span><\/p><\/div><\/div>Typically offered in Spring only<\/em><\/p><\/div><\/div><\/div>GIS\u00a0517\/LAR\u00a0517<\/span><\/strong><\/span>\u00a0\u00a0GIS Applications in Landscape Architecture and Environmental Planning<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>Introduction to the methods and applications of geographic spatial modeling technology in landscape architecture and environmental planning.<\/p><\/div><\/div><\/div>Typically offered in Fall only<\/em><\/p><\/div><\/div><\/div>GIS\u00a0520<\/strong><\/span>\u00a0\u00a0Geospatial Data Science and Analysis<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>This course provides exposure to and practice applying a variety of geospatial analysis methods and tools to support decision-making. Students will use both ArcGIS Pro and the R(TM) programming language and briefly explore the interoperability between these platforms. Using both platforms, we will practice data cleaning and processing, as well as descriptive and inferential spatial analysis methods. Students will learn to identify common limitations and special considerations that arise when working with geospatial data workflows and will learn how to leverage multiple tools to develop appropriate analysis methods. This course will be a combination of lectures and hands-on software training. Prior knowledge of GIS fundamentals is required.<\/p><\/div>Prerequisite: GIS\u00a0510<\/span><\/p><\/div><\/div>Typically offered in Fall and Spring<\/em><\/p><\/div><\/div><\/div>GIS\u00a0521<\/strong><\/span>\u00a0\u00a0Surface Water Hydrology with GIS<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>The application of geographic information systems (GIS) to surface water modeling including stream and watershed delineations, regulatory wetlands jurisdiction determinations, and flood mapping. In addition students will develop spatial computation methods to support hydrological analysis in land use planning, landscape management, and engineering assessments.<\/p><\/div>Prerequisite: GIS\u00a0510<\/span> or PA\u00a0541<\/span> or SSC\u00a0440<\/span><\/p><\/div><\/div>Typically offered in Fall and Spring<\/em><\/p><\/div><\/div><\/div>GIS\u00a0530<\/strong><\/span>\u00a0\u00a0Spatial Data Foundations<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>This course focuses on geospatial information systems from a mathematical and information science perspective. We discuss theoretical frameworks for conceptualizing geographic data, including levels of measurement, data control, and the vector data and raster data paradigms. Then we discuss the geometric underpinnings of geospatial systems: representing data with geographic elements, spatial referencing systems, and projection. Next, we explore map-related topology and computational geometry concepts. Finally, we survey the algorithms for core spatial manipulations, such as interpolation and polygon operations.<\/p><\/div>Prerequisite: GIS\u00a0510<\/span> or PA\u00a0541<\/span> or SSC\u00a0440<\/span><\/p><\/div><\/div>Typically offered in Fall and Spring<\/em><\/p><\/div><\/div><\/div>GIS\u00a0535<\/strong><\/span>\u00a0\u00a0Web and Mobile GIS Protocols<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>This course examines the design, development and deployment of web and mobile geospatial applications using internet and web-based protocols. Throughout the course, students will develop and deploy web and mobile GIS maps and applications relevant to their career using on-premises hosted infrastructure. Course participants will be required to complete assignments with data relevant to their interests. Additionally, students will search for and examine scientific and popular literature to understand how the course concepts are being employed and to foster ideas and discussion.<\/p><\/div>Prerequisite: GIS\u00a0510<\/span><\/p><\/div><\/div>Typically offered in Fall only<\/em><\/p><\/div><\/div><\/div>GIS\u00a0540<\/strong><\/span>\u00a0\u00a0Geospatial Programming<\/strong><\/span>\u00a0\u00a0(4 credit hours)<\/span>\u00a0\u00a0<\/div>This course equips students with essential skills for geospatial programming. Topics include computer programming to call geospatial processing tools, batch process, performing file reading\/writing, and generating displays. To support these tasks, students learn basic programming concepts, such as pseudocode, flow-control, code reuse, and debugging. In the final project, students streamline GIS workflows and customize GIS user interfaces. Familiarity with GIS software is required, but no prior programming experience is expected.<\/p><\/div>Prerequisite: GIS\u00a0510<\/span><\/p><\/div><\/div>Typically offered in Fall and Spring<\/em><\/p><\/div><\/div><\/div>GIS\u00a0550<\/strong><\/span>\u00a0\u00a0Geospatial Data Structures and Web Services<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>This course examines the spatial database models and structures used in geospatial information science and technology as well as the design and implementation of web and related mobile computing geospatial tools and systems. Students develop, evaluate, and deploy multiple spatial data models and web services that include connections to external data sources and systems.<\/p><\/div>Prerequisite: GIS\u00a0540<\/span><\/p><\/div><\/div>Typically offered in Fall and Spring<\/em><\/p><\/div><\/div><\/div>GIS\u00a0582\/MEA\u00a0582<\/span><\/strong><\/span>\u00a0\u00a0Geospatial Modeling<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>The course provides foundations in methods for GIS-based surface analysis and modeling. The topics include proximity analysis with cost surfaces and least cost paths, multivariate spatial interpolation and 3D surface visualization. Special focus is on terrain modeling, geomorphometry, solar irradiation, visibility, and watershed analysis. Students are also introduced to the basic concepts of landscape process modeling with GIS and to the principles of open source GIS. Introductory level knowledge of GIS or surveying\/ geomatics principles is required.<\/p><\/div><\/div><\/div>Typically offered in Fall and Spring<\/em><\/p><\/div><\/div><\/div>GIS\u00a0584\/MEA\u00a0584<\/span><\/strong><\/span>\u00a0\u00a0Mapping and Analysis Using UAS<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>The course provides an overview of UAS mapping technology and its rules and regulations. The principles of UAS data collection are explained along with optional hands-on practice with in flight planning and execution. The main focus is on processing imagery collected from UAS using structure from motion techniques and deriving orthophoto mosaics and ultra-high resolution digital elevation models of land surface, vegetation and structures. More advanced topics include multi-temporal 3D data analysis, fusion with lidar data and 3D visualization.<\/p><\/div>Prerequisite: GIS\u00a0510<\/span> or GIS\/MEA\u00a0582<\/span> or Permission of Instructor<\/p><\/div><\/div>Typically offered in Fall only<\/em><\/p><\/div><\/div><\/div>GIS\u00a0590<\/strong><\/span>\u00a0\u00a0
GIS 280 Introduction to GIS<\/strong> (3 credit hours)This course provides an overview of the operations and functions of geographic information systems [GIS]. Students develop a fundamental understanding of geographic information management and analysis methods. Emphasis is placed on the nature of geographic information, working with spatial data, and elementary geospatial analysis and modeling techniques. Students learn effective operation of GIS software and gain exposure to GIS tools that support these emphasis areas. Extensive independent learning and computer experiences include online laboratory sessions, alongside optional online or in-person weekly help sessions.Typically offered in Fall and Spring<\/em><\/p>\n\n\n\nGIS 295\/495 Special Topics in Geospatial Information Science<\/strong> (1-4 credit hours)Special Topics in Geospatial Information Science at the 200 level for offering courses on an experimental basis.Availability changes each semester<\/em><\/p>\n\n\n\nGraduate Education<\/h2>\n\n\n\n \n\nCourses<\/h2>\n\nGIS\u00a0501<\/strong><\/span>\u00a0\u00a0Geospatial Professionalism<\/strong><\/span>\u00a0\u00a0(1 credit hours)<\/span>\u00a0\u00a0<\/div>Students will examine a variety of topics critical to successful navigation of the geospatial profession, with an emphasis on map communication and presentation, interpreting geospatial research, the ethical, legal, and social implications (ELSI) of using spatial data, metadata concepts, and linking results to policy actions. Students will engage in several writing, presentation, and interpretation exercises.<\/p><\/div><\/div><\/div>Typically offered in Fall and Spring<\/em><\/p><\/div><\/div><\/div>GIS\u00a0510<\/strong><\/span>\u00a0\u00a0Fundamentals of Geospatial Information Science and Technology<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>This course provides an advanced overview of how geographic information systems [GIS] facilitate data analysis and communication to address common geographic problems. Students improve spatial reasoning and problem definition expertise while emphasizing geographic data models and structures, data manipulation and storage, customization through programming, and the integration of geospatial analysis and modeling into project-based problem solving applicable to a variety of disciplines. Skilled application of both desktop and cloud-based GIS software supports these areas. Extensive independent learning and computer experiences include virtual laboratory sessions, alongside optional online or in-person weekly help sessions to facilitate student learning.<\/p><\/div>Prerequisite: Graduate Standing or PBS or Permission of Instructor<\/p><\/div><\/div>Typically offered in Fall and Spring<\/em><\/p><\/div><\/div><\/div>GIS\u00a0511\/GIS\u00a0411<\/span><\/strong><\/span>\u00a0\u00a0Coding for Geospatial Applications<\/strong><\/span>\u00a0\u00a0(2 credit hours)<\/span>\u00a0\u00a0<\/div>Exploration of the intersection between coding and Geographic Information Systems. This course provides a broad overview of coding platforms commonly used in geospatial applications, with an emphasis on basic Python programming skills for geospatial tasks related to spatial data science and visualization. Prior programming experience is not required or expected. Some GIS experience is preferred. Students in the GIS and Spatial Data Science minor may opt to take this course in the same semester as GIS\u00a0450<\/span> when available.<\/p><\/div>Prerequisite: GIS\u00a0280<\/span><\/p><\/div><\/div>Typically offered in Fall only<\/em><\/p><\/div><\/div><\/div>GIS\u00a0512<\/strong><\/span>\u00a0\u00a0Introduction to Environmental Remote Sensing<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>Principles and hands-on techniques for processing and analyzing remotely sensed data for natural resource applications. Topics include review of the electromagnetic spectrum, pre-processing (georectification, enhancements and transformations), processing (visual interpretation, indices, supervised and unsupervised classification) and post-processing (masking, change analysis and accuracy assessment) of digital image data. This course will provide students with fundamental concepts and skills needed to pursue further studies in digital processing of remotely sensed data.<\/p><\/div><\/div><\/div>Typically offered in Spring only<\/em><\/p><\/div><\/div><\/div>GIS\u00a0515<\/strong><\/span>\u00a0\u00a0Cartographic Design<\/strong><\/span>\u00a0\u00a0(2 credit hours)<\/span>\u00a0\u00a0<\/div>Principles of cartographic design and how to apply them to produce high-quality geographic information system (GIS) based maps. Successful students will acquire an understanding of map design and experience applying it with GIS software. Students produce project maps in both print and web media.<\/p><\/div>Prerequisite: GIS\u00a0510<\/span><\/p><\/div><\/div>Typically offered in Spring only<\/em><\/p><\/div><\/div><\/div>GIS\u00a0517\/LAR\u00a0517<\/span><\/strong><\/span>\u00a0\u00a0GIS Applications in Landscape Architecture and Environmental Planning<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>Introduction to the methods and applications of geographic spatial modeling technology in landscape architecture and environmental planning.<\/p><\/div><\/div><\/div>Typically offered in Fall only<\/em><\/p><\/div><\/div><\/div>GIS\u00a0520<\/strong><\/span>\u00a0\u00a0Geospatial Data Science and Analysis<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>This course provides exposure to and practice applying a variety of geospatial analysis methods and tools to support decision-making. Students will use both ArcGIS Pro and the R(TM) programming language and briefly explore the interoperability between these platforms. Using both platforms, we will practice data cleaning and processing, as well as descriptive and inferential spatial analysis methods. Students will learn to identify common limitations and special considerations that arise when working with geospatial data workflows and will learn how to leverage multiple tools to develop appropriate analysis methods. This course will be a combination of lectures and hands-on software training. Prior knowledge of GIS fundamentals is required.<\/p><\/div>Prerequisite: GIS\u00a0510<\/span><\/p><\/div><\/div>Typically offered in Fall and Spring<\/em><\/p><\/div><\/div><\/div>GIS\u00a0521<\/strong><\/span>\u00a0\u00a0Surface Water Hydrology with GIS<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>The application of geographic information systems (GIS) to surface water modeling including stream and watershed delineations, regulatory wetlands jurisdiction determinations, and flood mapping. In addition students will develop spatial computation methods to support hydrological analysis in land use planning, landscape management, and engineering assessments.<\/p><\/div>Prerequisite: GIS\u00a0510<\/span> or PA\u00a0541<\/span> or SSC\u00a0440<\/span><\/p><\/div><\/div>Typically offered in Fall and Spring<\/em><\/p><\/div><\/div><\/div>GIS\u00a0530<\/strong><\/span>\u00a0\u00a0Spatial Data Foundations<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>This course focuses on geospatial information systems from a mathematical and information science perspective. We discuss theoretical frameworks for conceptualizing geographic data, including levels of measurement, data control, and the vector data and raster data paradigms. Then we discuss the geometric underpinnings of geospatial systems: representing data with geographic elements, spatial referencing systems, and projection. Next, we explore map-related topology and computational geometry concepts. Finally, we survey the algorithms for core spatial manipulations, such as interpolation and polygon operations.<\/p><\/div>Prerequisite: GIS\u00a0510<\/span> or PA\u00a0541<\/span> or SSC\u00a0440<\/span><\/p><\/div><\/div>Typically offered in Fall and Spring<\/em><\/p><\/div><\/div><\/div>GIS\u00a0535<\/strong><\/span>\u00a0\u00a0Web and Mobile GIS Protocols<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>This course examines the design, development and deployment of web and mobile geospatial applications using internet and web-based protocols. Throughout the course, students will develop and deploy web and mobile GIS maps and applications relevant to their career using on-premises hosted infrastructure. Course participants will be required to complete assignments with data relevant to their interests. Additionally, students will search for and examine scientific and popular literature to understand how the course concepts are being employed and to foster ideas and discussion.<\/p><\/div>Prerequisite: GIS\u00a0510<\/span><\/p><\/div><\/div>Typically offered in Fall only<\/em><\/p><\/div><\/div><\/div>GIS\u00a0540<\/strong><\/span>\u00a0\u00a0Geospatial Programming<\/strong><\/span>\u00a0\u00a0(4 credit hours)<\/span>\u00a0\u00a0<\/div>This course equips students with essential skills for geospatial programming. Topics include computer programming to call geospatial processing tools, batch process, performing file reading\/writing, and generating displays. To support these tasks, students learn basic programming concepts, such as pseudocode, flow-control, code reuse, and debugging. In the final project, students streamline GIS workflows and customize GIS user interfaces. Familiarity with GIS software is required, but no prior programming experience is expected.<\/p><\/div>Prerequisite: GIS\u00a0510<\/span><\/p><\/div><\/div>Typically offered in Fall and Spring<\/em><\/p><\/div><\/div><\/div>GIS\u00a0550<\/strong><\/span>\u00a0\u00a0Geospatial Data Structures and Web Services<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>This course examines the spatial database models and structures used in geospatial information science and technology as well as the design and implementation of web and related mobile computing geospatial tools and systems. Students develop, evaluate, and deploy multiple spatial data models and web services that include connections to external data sources and systems.<\/p><\/div>Prerequisite: GIS\u00a0540<\/span><\/p><\/div><\/div>Typically offered in Fall and Spring<\/em><\/p><\/div><\/div><\/div>GIS\u00a0582\/MEA\u00a0582<\/span><\/strong><\/span>\u00a0\u00a0Geospatial Modeling<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>The course provides foundations in methods for GIS-based surface analysis and modeling. The topics include proximity analysis with cost surfaces and least cost paths, multivariate spatial interpolation and 3D surface visualization. Special focus is on terrain modeling, geomorphometry, solar irradiation, visibility, and watershed analysis. Students are also introduced to the basic concepts of landscape process modeling with GIS and to the principles of open source GIS. Introductory level knowledge of GIS or surveying\/ geomatics principles is required.<\/p><\/div><\/div><\/div>Typically offered in Fall and Spring<\/em><\/p><\/div><\/div><\/div>GIS\u00a0584\/MEA\u00a0584<\/span><\/strong><\/span>\u00a0\u00a0Mapping and Analysis Using UAS<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>The course provides an overview of UAS mapping technology and its rules and regulations. The principles of UAS data collection are explained along with optional hands-on practice with in flight planning and execution. The main focus is on processing imagery collected from UAS using structure from motion techniques and deriving orthophoto mosaics and ultra-high resolution digital elevation models of land surface, vegetation and structures. More advanced topics include multi-temporal 3D data analysis, fusion with lidar data and 3D visualization.<\/p><\/div>Prerequisite: GIS\u00a0510<\/span> or GIS\/MEA\u00a0582<\/span> or Permission of Instructor<\/p><\/div><\/div>Typically offered in Fall only<\/em><\/p><\/div><\/div><\/div>GIS\u00a0590<\/strong><\/span>\u00a0\u00a0
GIS 295\/495 Special Topics in Geospatial Information Science<\/strong> (1-4 credit hours)Special Topics in Geospatial Information Science at the 200 level for offering courses on an experimental basis.Availability changes each semester<\/em><\/p>\n\n\n\nGraduate Education<\/h2>\n\n\n\n \n\nCourses<\/h2>\n\nGIS\u00a0501<\/strong><\/span>\u00a0\u00a0Geospatial Professionalism<\/strong><\/span>\u00a0\u00a0(1 credit hours)<\/span>\u00a0\u00a0<\/div>Students will examine a variety of topics critical to successful navigation of the geospatial profession, with an emphasis on map communication and presentation, interpreting geospatial research, the ethical, legal, and social implications (ELSI) of using spatial data, metadata concepts, and linking results to policy actions. Students will engage in several writing, presentation, and interpretation exercises.<\/p><\/div><\/div><\/div>Typically offered in Fall and Spring<\/em><\/p><\/div><\/div><\/div>GIS\u00a0510<\/strong><\/span>\u00a0\u00a0Fundamentals of Geospatial Information Science and Technology<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>This course provides an advanced overview of how geographic information systems [GIS] facilitate data analysis and communication to address common geographic problems. Students improve spatial reasoning and problem definition expertise while emphasizing geographic data models and structures, data manipulation and storage, customization through programming, and the integration of geospatial analysis and modeling into project-based problem solving applicable to a variety of disciplines. Skilled application of both desktop and cloud-based GIS software supports these areas. Extensive independent learning and computer experiences include virtual laboratory sessions, alongside optional online or in-person weekly help sessions to facilitate student learning.<\/p><\/div>Prerequisite: Graduate Standing or PBS or Permission of Instructor<\/p><\/div><\/div>Typically offered in Fall and Spring<\/em><\/p><\/div><\/div><\/div>GIS\u00a0511\/GIS\u00a0411<\/span><\/strong><\/span>\u00a0\u00a0Coding for Geospatial Applications<\/strong><\/span>\u00a0\u00a0(2 credit hours)<\/span>\u00a0\u00a0<\/div>Exploration of the intersection between coding and Geographic Information Systems. This course provides a broad overview of coding platforms commonly used in geospatial applications, with an emphasis on basic Python programming skills for geospatial tasks related to spatial data science and visualization. Prior programming experience is not required or expected. Some GIS experience is preferred. Students in the GIS and Spatial Data Science minor may opt to take this course in the same semester as GIS\u00a0450<\/span> when available.<\/p><\/div>Prerequisite: GIS\u00a0280<\/span><\/p><\/div><\/div>Typically offered in Fall only<\/em><\/p><\/div><\/div><\/div>GIS\u00a0512<\/strong><\/span>\u00a0\u00a0Introduction to Environmental Remote Sensing<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>Principles and hands-on techniques for processing and analyzing remotely sensed data for natural resource applications. Topics include review of the electromagnetic spectrum, pre-processing (georectification, enhancements and transformations), processing (visual interpretation, indices, supervised and unsupervised classification) and post-processing (masking, change analysis and accuracy assessment) of digital image data. This course will provide students with fundamental concepts and skills needed to pursue further studies in digital processing of remotely sensed data.<\/p><\/div><\/div><\/div>Typically offered in Spring only<\/em><\/p><\/div><\/div><\/div>GIS\u00a0515<\/strong><\/span>\u00a0\u00a0Cartographic Design<\/strong><\/span>\u00a0\u00a0(2 credit hours)<\/span>\u00a0\u00a0<\/div>Principles of cartographic design and how to apply them to produce high-quality geographic information system (GIS) based maps. Successful students will acquire an understanding of map design and experience applying it with GIS software. Students produce project maps in both print and web media.<\/p><\/div>Prerequisite: GIS\u00a0510<\/span><\/p><\/div><\/div>Typically offered in Spring only<\/em><\/p><\/div><\/div><\/div>GIS\u00a0517\/LAR\u00a0517<\/span><\/strong><\/span>\u00a0\u00a0GIS Applications in Landscape Architecture and Environmental Planning<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>Introduction to the methods and applications of geographic spatial modeling technology in landscape architecture and environmental planning.<\/p><\/div><\/div><\/div>Typically offered in Fall only<\/em><\/p><\/div><\/div><\/div>GIS\u00a0520<\/strong><\/span>\u00a0\u00a0Geospatial Data Science and Analysis<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>This course provides exposure to and practice applying a variety of geospatial analysis methods and tools to support decision-making. Students will use both ArcGIS Pro and the R(TM) programming language and briefly explore the interoperability between these platforms. Using both platforms, we will practice data cleaning and processing, as well as descriptive and inferential spatial analysis methods. Students will learn to identify common limitations and special considerations that arise when working with geospatial data workflows and will learn how to leverage multiple tools to develop appropriate analysis methods. This course will be a combination of lectures and hands-on software training. Prior knowledge of GIS fundamentals is required.<\/p><\/div>Prerequisite: GIS\u00a0510<\/span><\/p><\/div><\/div>Typically offered in Fall and Spring<\/em><\/p><\/div><\/div><\/div>GIS\u00a0521<\/strong><\/span>\u00a0\u00a0Surface Water Hydrology with GIS<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>The application of geographic information systems (GIS) to surface water modeling including stream and watershed delineations, regulatory wetlands jurisdiction determinations, and flood mapping. In addition students will develop spatial computation methods to support hydrological analysis in land use planning, landscape management, and engineering assessments.<\/p><\/div>Prerequisite: GIS\u00a0510<\/span> or PA\u00a0541<\/span> or SSC\u00a0440<\/span><\/p><\/div><\/div>Typically offered in Fall and Spring<\/em><\/p><\/div><\/div><\/div>GIS\u00a0530<\/strong><\/span>\u00a0\u00a0Spatial Data Foundations<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>This course focuses on geospatial information systems from a mathematical and information science perspective. We discuss theoretical frameworks for conceptualizing geographic data, including levels of measurement, data control, and the vector data and raster data paradigms. Then we discuss the geometric underpinnings of geospatial systems: representing data with geographic elements, spatial referencing systems, and projection. Next, we explore map-related topology and computational geometry concepts. Finally, we survey the algorithms for core spatial manipulations, such as interpolation and polygon operations.<\/p><\/div>Prerequisite: GIS\u00a0510<\/span> or PA\u00a0541<\/span> or SSC\u00a0440<\/span><\/p><\/div><\/div>Typically offered in Fall and Spring<\/em><\/p><\/div><\/div><\/div>GIS\u00a0535<\/strong><\/span>\u00a0\u00a0Web and Mobile GIS Protocols<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>This course examines the design, development and deployment of web and mobile geospatial applications using internet and web-based protocols. Throughout the course, students will develop and deploy web and mobile GIS maps and applications relevant to their career using on-premises hosted infrastructure. Course participants will be required to complete assignments with data relevant to their interests. Additionally, students will search for and examine scientific and popular literature to understand how the course concepts are being employed and to foster ideas and discussion.<\/p><\/div>Prerequisite: GIS\u00a0510<\/span><\/p><\/div><\/div>Typically offered in Fall only<\/em><\/p><\/div><\/div><\/div>GIS\u00a0540<\/strong><\/span>\u00a0\u00a0Geospatial Programming<\/strong><\/span>\u00a0\u00a0(4 credit hours)<\/span>\u00a0\u00a0<\/div>This course equips students with essential skills for geospatial programming. Topics include computer programming to call geospatial processing tools, batch process, performing file reading\/writing, and generating displays. To support these tasks, students learn basic programming concepts, such as pseudocode, flow-control, code reuse, and debugging. In the final project, students streamline GIS workflows and customize GIS user interfaces. Familiarity with GIS software is required, but no prior programming experience is expected.<\/p><\/div>Prerequisite: GIS\u00a0510<\/span><\/p><\/div><\/div>Typically offered in Fall and Spring<\/em><\/p><\/div><\/div><\/div>GIS\u00a0550<\/strong><\/span>\u00a0\u00a0Geospatial Data Structures and Web Services<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>This course examines the spatial database models and structures used in geospatial information science and technology as well as the design and implementation of web and related mobile computing geospatial tools and systems. Students develop, evaluate, and deploy multiple spatial data models and web services that include connections to external data sources and systems.<\/p><\/div>Prerequisite: GIS\u00a0540<\/span><\/p><\/div><\/div>Typically offered in Fall and Spring<\/em><\/p><\/div><\/div><\/div>GIS\u00a0582\/MEA\u00a0582<\/span><\/strong><\/span>\u00a0\u00a0Geospatial Modeling<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>The course provides foundations in methods for GIS-based surface analysis and modeling. The topics include proximity analysis with cost surfaces and least cost paths, multivariate spatial interpolation and 3D surface visualization. Special focus is on terrain modeling, geomorphometry, solar irradiation, visibility, and watershed analysis. Students are also introduced to the basic concepts of landscape process modeling with GIS and to the principles of open source GIS. Introductory level knowledge of GIS or surveying\/ geomatics principles is required.<\/p><\/div><\/div><\/div>Typically offered in Fall and Spring<\/em><\/p><\/div><\/div><\/div>GIS\u00a0584\/MEA\u00a0584<\/span><\/strong><\/span>\u00a0\u00a0Mapping and Analysis Using UAS<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>The course provides an overview of UAS mapping technology and its rules and regulations. The principles of UAS data collection are explained along with optional hands-on practice with in flight planning and execution. The main focus is on processing imagery collected from UAS using structure from motion techniques and deriving orthophoto mosaics and ultra-high resolution digital elevation models of land surface, vegetation and structures. More advanced topics include multi-temporal 3D data analysis, fusion with lidar data and 3D visualization.<\/p><\/div>Prerequisite: GIS\u00a0510<\/span> or GIS\/MEA\u00a0582<\/span> or Permission of Instructor<\/p><\/div><\/div>Typically offered in Fall only<\/em><\/p><\/div><\/div><\/div>GIS\u00a0590<\/strong><\/span>\u00a0\u00a0
Students will examine a variety of topics critical to successful navigation of the geospatial profession, with an emphasis on map communication and presentation, interpreting geospatial research, the ethical, legal, and social implications (ELSI) of using spatial data, metadata concepts, and linking results to policy actions. Students will engage in several writing, presentation, and interpretation exercises.<\/p><\/div>
Typically offered in Fall and Spring<\/em><\/p><\/div><\/div><\/div>GIS\u00a0510<\/strong><\/span>\u00a0\u00a0Fundamentals of Geospatial Information Science and Technology<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>This course provides an advanced overview of how geographic information systems [GIS] facilitate data analysis and communication to address common geographic problems. Students improve spatial reasoning and problem definition expertise while emphasizing geographic data models and structures, data manipulation and storage, customization through programming, and the integration of geospatial analysis and modeling into project-based problem solving applicable to a variety of disciplines. Skilled application of both desktop and cloud-based GIS software supports these areas. Extensive independent learning and computer experiences include virtual laboratory sessions, alongside optional online or in-person weekly help sessions to facilitate student learning.<\/p><\/div>Prerequisite: Graduate Standing or PBS or Permission of Instructor<\/p><\/div><\/div>Typically offered in Fall and Spring<\/em><\/p><\/div><\/div><\/div>GIS\u00a0511\/GIS\u00a0411<\/span><\/strong><\/span>\u00a0\u00a0Coding for Geospatial Applications<\/strong><\/span>\u00a0\u00a0(2 credit hours)<\/span>\u00a0\u00a0<\/div>Exploration of the intersection between coding and Geographic Information Systems. This course provides a broad overview of coding platforms commonly used in geospatial applications, with an emphasis on basic Python programming skills for geospatial tasks related to spatial data science and visualization. Prior programming experience is not required or expected. Some GIS experience is preferred. Students in the GIS and Spatial Data Science minor may opt to take this course in the same semester as GIS\u00a0450<\/span> when available.<\/p><\/div>Prerequisite: GIS\u00a0280<\/span><\/p><\/div><\/div>Typically offered in Fall only<\/em><\/p><\/div><\/div><\/div>GIS\u00a0512<\/strong><\/span>\u00a0\u00a0Introduction to Environmental Remote Sensing<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>Principles and hands-on techniques for processing and analyzing remotely sensed data for natural resource applications. Topics include review of the electromagnetic spectrum, pre-processing (georectification, enhancements and transformations), processing (visual interpretation, indices, supervised and unsupervised classification) and post-processing (masking, change analysis and accuracy assessment) of digital image data. This course will provide students with fundamental concepts and skills needed to pursue further studies in digital processing of remotely sensed data.<\/p><\/div><\/div><\/div>Typically offered in Spring only<\/em><\/p><\/div><\/div><\/div>GIS\u00a0515<\/strong><\/span>\u00a0\u00a0Cartographic Design<\/strong><\/span>\u00a0\u00a0(2 credit hours)<\/span>\u00a0\u00a0<\/div>Principles of cartographic design and how to apply them to produce high-quality geographic information system (GIS) based maps. Successful students will acquire an understanding of map design and experience applying it with GIS software. Students produce project maps in both print and web media.<\/p><\/div>Prerequisite: GIS\u00a0510<\/span><\/p><\/div><\/div>Typically offered in Spring only<\/em><\/p><\/div><\/div><\/div>GIS\u00a0517\/LAR\u00a0517<\/span><\/strong><\/span>\u00a0\u00a0GIS Applications in Landscape Architecture and Environmental Planning<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>Introduction to the methods and applications of geographic spatial modeling technology in landscape architecture and environmental planning.<\/p><\/div><\/div><\/div>Typically offered in Fall only<\/em><\/p><\/div><\/div><\/div>GIS\u00a0520<\/strong><\/span>\u00a0\u00a0Geospatial Data Science and Analysis<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>This course provides exposure to and practice applying a variety of geospatial analysis methods and tools to support decision-making. Students will use both ArcGIS Pro and the R(TM) programming language and briefly explore the interoperability between these platforms. Using both platforms, we will practice data cleaning and processing, as well as descriptive and inferential spatial analysis methods. Students will learn to identify common limitations and special considerations that arise when working with geospatial data workflows and will learn how to leverage multiple tools to develop appropriate analysis methods. This course will be a combination of lectures and hands-on software training. Prior knowledge of GIS fundamentals is required.<\/p><\/div>Prerequisite: GIS\u00a0510<\/span><\/p><\/div><\/div>Typically offered in Fall and Spring<\/em><\/p><\/div><\/div><\/div>GIS\u00a0521<\/strong><\/span>\u00a0\u00a0Surface Water Hydrology with GIS<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>The application of geographic information systems (GIS) to surface water modeling including stream and watershed delineations, regulatory wetlands jurisdiction determinations, and flood mapping. In addition students will develop spatial computation methods to support hydrological analysis in land use planning, landscape management, and engineering assessments.<\/p><\/div>Prerequisite: GIS\u00a0510<\/span> or PA\u00a0541<\/span> or SSC\u00a0440<\/span><\/p><\/div><\/div>Typically offered in Fall and Spring<\/em><\/p><\/div><\/div><\/div>GIS\u00a0530<\/strong><\/span>\u00a0\u00a0Spatial Data Foundations<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>This course focuses on geospatial information systems from a mathematical and information science perspective. We discuss theoretical frameworks for conceptualizing geographic data, including levels of measurement, data control, and the vector data and raster data paradigms. Then we discuss the geometric underpinnings of geospatial systems: representing data with geographic elements, spatial referencing systems, and projection. Next, we explore map-related topology and computational geometry concepts. Finally, we survey the algorithms for core spatial manipulations, such as interpolation and polygon operations.<\/p><\/div>Prerequisite: GIS\u00a0510<\/span> or PA\u00a0541<\/span> or SSC\u00a0440<\/span><\/p><\/div><\/div>Typically offered in Fall and Spring<\/em><\/p><\/div><\/div><\/div>GIS\u00a0535<\/strong><\/span>\u00a0\u00a0Web and Mobile GIS Protocols<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>This course examines the design, development and deployment of web and mobile geospatial applications using internet and web-based protocols. Throughout the course, students will develop and deploy web and mobile GIS maps and applications relevant to their career using on-premises hosted infrastructure. Course participants will be required to complete assignments with data relevant to their interests. Additionally, students will search for and examine scientific and popular literature to understand how the course concepts are being employed and to foster ideas and discussion.<\/p><\/div>Prerequisite: GIS\u00a0510<\/span><\/p><\/div><\/div>Typically offered in Fall only<\/em><\/p><\/div><\/div><\/div>GIS\u00a0540<\/strong><\/span>\u00a0\u00a0Geospatial Programming<\/strong><\/span>\u00a0\u00a0(4 credit hours)<\/span>\u00a0\u00a0<\/div>This course equips students with essential skills for geospatial programming. Topics include computer programming to call geospatial processing tools, batch process, performing file reading\/writing, and generating displays. To support these tasks, students learn basic programming concepts, such as pseudocode, flow-control, code reuse, and debugging. In the final project, students streamline GIS workflows and customize GIS user interfaces. Familiarity with GIS software is required, but no prior programming experience is expected.<\/p><\/div>Prerequisite: GIS\u00a0510<\/span><\/p><\/div><\/div>Typically offered in Fall and Spring<\/em><\/p><\/div><\/div><\/div>GIS\u00a0550<\/strong><\/span>\u00a0\u00a0Geospatial Data Structures and Web Services<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>This course examines the spatial database models and structures used in geospatial information science and technology as well as the design and implementation of web and related mobile computing geospatial tools and systems. Students develop, evaluate, and deploy multiple spatial data models and web services that include connections to external data sources and systems.<\/p><\/div>Prerequisite: GIS\u00a0540<\/span><\/p><\/div><\/div>Typically offered in Fall and Spring<\/em><\/p><\/div><\/div><\/div>GIS\u00a0582\/MEA\u00a0582<\/span><\/strong><\/span>\u00a0\u00a0Geospatial Modeling<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>The course provides foundations in methods for GIS-based surface analysis and modeling. The topics include proximity analysis with cost surfaces and least cost paths, multivariate spatial interpolation and 3D surface visualization. Special focus is on terrain modeling, geomorphometry, solar irradiation, visibility, and watershed analysis. Students are also introduced to the basic concepts of landscape process modeling with GIS and to the principles of open source GIS. Introductory level knowledge of GIS or surveying\/ geomatics principles is required.<\/p><\/div><\/div><\/div>Typically offered in Fall and Spring<\/em><\/p><\/div><\/div><\/div>GIS\u00a0584\/MEA\u00a0584<\/span><\/strong><\/span>\u00a0\u00a0Mapping and Analysis Using UAS<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>The course provides an overview of UAS mapping technology and its rules and regulations. The principles of UAS data collection are explained along with optional hands-on practice with in flight planning and execution. The main focus is on processing imagery collected from UAS using structure from motion techniques and deriving orthophoto mosaics and ultra-high resolution digital elevation models of land surface, vegetation and structures. More advanced topics include multi-temporal 3D data analysis, fusion with lidar data and 3D visualization.<\/p><\/div>Prerequisite: GIS\u00a0510<\/span> or GIS\/MEA\u00a0582<\/span> or Permission of Instructor<\/p><\/div><\/div>Typically offered in Fall only<\/em><\/p><\/div><\/div><\/div>GIS\u00a0590<\/strong><\/span>\u00a0\u00a0
This course provides an advanced overview of how geographic information systems [GIS] facilitate data analysis and communication to address common geographic problems. Students improve spatial reasoning and problem definition expertise while emphasizing geographic data models and structures, data manipulation and storage, customization through programming, and the integration of geospatial analysis and modeling into project-based problem solving applicable to a variety of disciplines. Skilled application of both desktop and cloud-based GIS software supports these areas. Extensive independent learning and computer experiences include virtual laboratory sessions, alongside optional online or in-person weekly help sessions to facilitate student learning.<\/p><\/div>
Prerequisite: Graduate Standing or PBS or Permission of Instructor<\/p><\/div>
Typically offered in Fall and Spring<\/em><\/p><\/div><\/div><\/div>GIS\u00a0511\/GIS\u00a0411<\/span><\/strong><\/span>\u00a0\u00a0Coding for Geospatial Applications<\/strong><\/span>\u00a0\u00a0(2 credit hours)<\/span>\u00a0\u00a0<\/div>Exploration of the intersection between coding and Geographic Information Systems. This course provides a broad overview of coding platforms commonly used in geospatial applications, with an emphasis on basic Python programming skills for geospatial tasks related to spatial data science and visualization. Prior programming experience is not required or expected. Some GIS experience is preferred. Students in the GIS and Spatial Data Science minor may opt to take this course in the same semester as GIS\u00a0450<\/span> when available.<\/p><\/div>Prerequisite: GIS\u00a0280<\/span><\/p><\/div><\/div>Typically offered in Fall only<\/em><\/p><\/div><\/div><\/div>GIS\u00a0512<\/strong><\/span>\u00a0\u00a0Introduction to Environmental Remote Sensing<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>Principles and hands-on techniques for processing and analyzing remotely sensed data for natural resource applications. Topics include review of the electromagnetic spectrum, pre-processing (georectification, enhancements and transformations), processing (visual interpretation, indices, supervised and unsupervised classification) and post-processing (masking, change analysis and accuracy assessment) of digital image data. This course will provide students with fundamental concepts and skills needed to pursue further studies in digital processing of remotely sensed data.<\/p><\/div><\/div><\/div>Typically offered in Spring only<\/em><\/p><\/div><\/div><\/div>GIS\u00a0515<\/strong><\/span>\u00a0\u00a0Cartographic Design<\/strong><\/span>\u00a0\u00a0(2 credit hours)<\/span>\u00a0\u00a0<\/div>Principles of cartographic design and how to apply them to produce high-quality geographic information system (GIS) based maps. Successful students will acquire an understanding of map design and experience applying it with GIS software. Students produce project maps in both print and web media.<\/p><\/div>Prerequisite: GIS\u00a0510<\/span><\/p><\/div><\/div>Typically offered in Spring only<\/em><\/p><\/div><\/div><\/div>GIS\u00a0517\/LAR\u00a0517<\/span><\/strong><\/span>\u00a0\u00a0GIS Applications in Landscape Architecture and Environmental Planning<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>Introduction to the methods and applications of geographic spatial modeling technology in landscape architecture and environmental planning.<\/p><\/div><\/div><\/div>Typically offered in Fall only<\/em><\/p><\/div><\/div><\/div>GIS\u00a0520<\/strong><\/span>\u00a0\u00a0Geospatial Data Science and Analysis<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>This course provides exposure to and practice applying a variety of geospatial analysis methods and tools to support decision-making. Students will use both ArcGIS Pro and the R(TM) programming language and briefly explore the interoperability between these platforms. Using both platforms, we will practice data cleaning and processing, as well as descriptive and inferential spatial analysis methods. Students will learn to identify common limitations and special considerations that arise when working with geospatial data workflows and will learn how to leverage multiple tools to develop appropriate analysis methods. This course will be a combination of lectures and hands-on software training. Prior knowledge of GIS fundamentals is required.<\/p><\/div>Prerequisite: GIS\u00a0510<\/span><\/p><\/div><\/div>Typically offered in Fall and Spring<\/em><\/p><\/div><\/div><\/div>GIS\u00a0521<\/strong><\/span>\u00a0\u00a0Surface Water Hydrology with GIS<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>The application of geographic information systems (GIS) to surface water modeling including stream and watershed delineations, regulatory wetlands jurisdiction determinations, and flood mapping. In addition students will develop spatial computation methods to support hydrological analysis in land use planning, landscape management, and engineering assessments.<\/p><\/div>Prerequisite: GIS\u00a0510<\/span> or PA\u00a0541<\/span> or SSC\u00a0440<\/span><\/p><\/div><\/div>Typically offered in Fall and Spring<\/em><\/p><\/div><\/div><\/div>GIS\u00a0530<\/strong><\/span>\u00a0\u00a0Spatial Data Foundations<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>This course focuses on geospatial information systems from a mathematical and information science perspective. We discuss theoretical frameworks for conceptualizing geographic data, including levels of measurement, data control, and the vector data and raster data paradigms. Then we discuss the geometric underpinnings of geospatial systems: representing data with geographic elements, spatial referencing systems, and projection. Next, we explore map-related topology and computational geometry concepts. Finally, we survey the algorithms for core spatial manipulations, such as interpolation and polygon operations.<\/p><\/div>Prerequisite: GIS\u00a0510<\/span> or PA\u00a0541<\/span> or SSC\u00a0440<\/span><\/p><\/div><\/div>Typically offered in Fall and Spring<\/em><\/p><\/div><\/div><\/div>GIS\u00a0535<\/strong><\/span>\u00a0\u00a0Web and Mobile GIS Protocols<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>This course examines the design, development and deployment of web and mobile geospatial applications using internet and web-based protocols. Throughout the course, students will develop and deploy web and mobile GIS maps and applications relevant to their career using on-premises hosted infrastructure. Course participants will be required to complete assignments with data relevant to their interests. Additionally, students will search for and examine scientific and popular literature to understand how the course concepts are being employed and to foster ideas and discussion.<\/p><\/div>Prerequisite: GIS\u00a0510<\/span><\/p><\/div><\/div>Typically offered in Fall only<\/em><\/p><\/div><\/div><\/div>GIS\u00a0540<\/strong><\/span>\u00a0\u00a0Geospatial Programming<\/strong><\/span>\u00a0\u00a0(4 credit hours)<\/span>\u00a0\u00a0<\/div>This course equips students with essential skills for geospatial programming. Topics include computer programming to call geospatial processing tools, batch process, performing file reading\/writing, and generating displays. To support these tasks, students learn basic programming concepts, such as pseudocode, flow-control, code reuse, and debugging. In the final project, students streamline GIS workflows and customize GIS user interfaces. Familiarity with GIS software is required, but no prior programming experience is expected.<\/p><\/div>Prerequisite: GIS\u00a0510<\/span><\/p><\/div><\/div>Typically offered in Fall and Spring<\/em><\/p><\/div><\/div><\/div>GIS\u00a0550<\/strong><\/span>\u00a0\u00a0Geospatial Data Structures and Web Services<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>This course examines the spatial database models and structures used in geospatial information science and technology as well as the design and implementation of web and related mobile computing geospatial tools and systems. Students develop, evaluate, and deploy multiple spatial data models and web services that include connections to external data sources and systems.<\/p><\/div>Prerequisite: GIS\u00a0540<\/span><\/p><\/div><\/div>Typically offered in Fall and Spring<\/em><\/p><\/div><\/div><\/div>GIS\u00a0582\/MEA\u00a0582<\/span><\/strong><\/span>\u00a0\u00a0Geospatial Modeling<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>The course provides foundations in methods for GIS-based surface analysis and modeling. The topics include proximity analysis with cost surfaces and least cost paths, multivariate spatial interpolation and 3D surface visualization. Special focus is on terrain modeling, geomorphometry, solar irradiation, visibility, and watershed analysis. Students are also introduced to the basic concepts of landscape process modeling with GIS and to the principles of open source GIS. Introductory level knowledge of GIS or surveying\/ geomatics principles is required.<\/p><\/div><\/div><\/div>Typically offered in Fall and Spring<\/em><\/p><\/div><\/div><\/div>GIS\u00a0584\/MEA\u00a0584<\/span><\/strong><\/span>\u00a0\u00a0Mapping and Analysis Using UAS<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>The course provides an overview of UAS mapping technology and its rules and regulations. The principles of UAS data collection are explained along with optional hands-on practice with in flight planning and execution. The main focus is on processing imagery collected from UAS using structure from motion techniques and deriving orthophoto mosaics and ultra-high resolution digital elevation models of land surface, vegetation and structures. More advanced topics include multi-temporal 3D data analysis, fusion with lidar data and 3D visualization.<\/p><\/div>Prerequisite: GIS\u00a0510<\/span> or GIS\/MEA\u00a0582<\/span> or Permission of Instructor<\/p><\/div><\/div>Typically offered in Fall only<\/em><\/p><\/div><\/div><\/div>GIS\u00a0590<\/strong><\/span>\u00a0\u00a0
Exploration of the intersection between coding and Geographic Information Systems. This course provides a broad overview of coding platforms commonly used in geospatial applications, with an emphasis on basic Python programming skills for geospatial tasks related to spatial data science and visualization. Prior programming experience is not required or expected. Some GIS experience is preferred. Students in the GIS and Spatial Data Science minor may opt to take this course in the same semester as GIS\u00a0450<\/span> when available.<\/p><\/div>Prerequisite: GIS\u00a0280<\/span><\/p><\/div><\/div>Typically offered in Fall only<\/em><\/p><\/div><\/div><\/div>GIS\u00a0512<\/strong><\/span>\u00a0\u00a0Introduction to Environmental Remote Sensing<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>Principles and hands-on techniques for processing and analyzing remotely sensed data for natural resource applications. Topics include review of the electromagnetic spectrum, pre-processing (georectification, enhancements and transformations), processing (visual interpretation, indices, supervised and unsupervised classification) and post-processing (masking, change analysis and accuracy assessment) of digital image data. This course will provide students with fundamental concepts and skills needed to pursue further studies in digital processing of remotely sensed data.<\/p><\/div><\/div><\/div>Typically offered in Spring only<\/em><\/p><\/div><\/div><\/div>GIS\u00a0515<\/strong><\/span>\u00a0\u00a0Cartographic Design<\/strong><\/span>\u00a0\u00a0(2 credit hours)<\/span>\u00a0\u00a0<\/div>Principles of cartographic design and how to apply them to produce high-quality geographic information system (GIS) based maps. Successful students will acquire an understanding of map design and experience applying it with GIS software. Students produce project maps in both print and web media.<\/p><\/div>Prerequisite: GIS\u00a0510<\/span><\/p><\/div><\/div>Typically offered in Spring only<\/em><\/p><\/div><\/div><\/div>GIS\u00a0517\/LAR\u00a0517<\/span><\/strong><\/span>\u00a0\u00a0GIS Applications in Landscape Architecture and Environmental Planning<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>Introduction to the methods and applications of geographic spatial modeling technology in landscape architecture and environmental planning.<\/p><\/div><\/div><\/div>Typically offered in Fall only<\/em><\/p><\/div><\/div><\/div>GIS\u00a0520<\/strong><\/span>\u00a0\u00a0Geospatial Data Science and Analysis<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>This course provides exposure to and practice applying a variety of geospatial analysis methods and tools to support decision-making. Students will use both ArcGIS Pro and the R(TM) programming language and briefly explore the interoperability between these platforms. Using both platforms, we will practice data cleaning and processing, as well as descriptive and inferential spatial analysis methods. Students will learn to identify common limitations and special considerations that arise when working with geospatial data workflows and will learn how to leverage multiple tools to develop appropriate analysis methods. This course will be a combination of lectures and hands-on software training. Prior knowledge of GIS fundamentals is required.<\/p><\/div>Prerequisite: GIS\u00a0510<\/span><\/p><\/div><\/div>Typically offered in Fall and Spring<\/em><\/p><\/div><\/div><\/div>GIS\u00a0521<\/strong><\/span>\u00a0\u00a0Surface Water Hydrology with GIS<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>The application of geographic information systems (GIS) to surface water modeling including stream and watershed delineations, regulatory wetlands jurisdiction determinations, and flood mapping. In addition students will develop spatial computation methods to support hydrological analysis in land use planning, landscape management, and engineering assessments.<\/p><\/div>Prerequisite: GIS\u00a0510<\/span> or PA\u00a0541<\/span> or SSC\u00a0440<\/span><\/p><\/div><\/div>Typically offered in Fall and Spring<\/em><\/p><\/div><\/div><\/div>GIS\u00a0530<\/strong><\/span>\u00a0\u00a0Spatial Data Foundations<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>This course focuses on geospatial information systems from a mathematical and information science perspective. We discuss theoretical frameworks for conceptualizing geographic data, including levels of measurement, data control, and the vector data and raster data paradigms. Then we discuss the geometric underpinnings of geospatial systems: representing data with geographic elements, spatial referencing systems, and projection. Next, we explore map-related topology and computational geometry concepts. Finally, we survey the algorithms for core spatial manipulations, such as interpolation and polygon operations.<\/p><\/div>Prerequisite: GIS\u00a0510<\/span> or PA\u00a0541<\/span> or SSC\u00a0440<\/span><\/p><\/div><\/div>Typically offered in Fall and Spring<\/em><\/p><\/div><\/div><\/div>GIS\u00a0535<\/strong><\/span>\u00a0\u00a0Web and Mobile GIS Protocols<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>This course examines the design, development and deployment of web and mobile geospatial applications using internet and web-based protocols. Throughout the course, students will develop and deploy web and mobile GIS maps and applications relevant to their career using on-premises hosted infrastructure. Course participants will be required to complete assignments with data relevant to their interests. Additionally, students will search for and examine scientific and popular literature to understand how the course concepts are being employed and to foster ideas and discussion.<\/p><\/div>Prerequisite: GIS\u00a0510<\/span><\/p><\/div><\/div>Typically offered in Fall only<\/em><\/p><\/div><\/div><\/div>GIS\u00a0540<\/strong><\/span>\u00a0\u00a0Geospatial Programming<\/strong><\/span>\u00a0\u00a0(4 credit hours)<\/span>\u00a0\u00a0<\/div>This course equips students with essential skills for geospatial programming. Topics include computer programming to call geospatial processing tools, batch process, performing file reading\/writing, and generating displays. To support these tasks, students learn basic programming concepts, such as pseudocode, flow-control, code reuse, and debugging. In the final project, students streamline GIS workflows and customize GIS user interfaces. Familiarity with GIS software is required, but no prior programming experience is expected.<\/p><\/div>Prerequisite: GIS\u00a0510<\/span><\/p><\/div><\/div>Typically offered in Fall and Spring<\/em><\/p><\/div><\/div><\/div>GIS\u00a0550<\/strong><\/span>\u00a0\u00a0Geospatial Data Structures and Web Services<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>This course examines the spatial database models and structures used in geospatial information science and technology as well as the design and implementation of web and related mobile computing geospatial tools and systems. Students develop, evaluate, and deploy multiple spatial data models and web services that include connections to external data sources and systems.<\/p><\/div>Prerequisite: GIS\u00a0540<\/span><\/p><\/div><\/div>Typically offered in Fall and Spring<\/em><\/p><\/div><\/div><\/div>GIS\u00a0582\/MEA\u00a0582<\/span><\/strong><\/span>\u00a0\u00a0Geospatial Modeling<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>The course provides foundations in methods for GIS-based surface analysis and modeling. The topics include proximity analysis with cost surfaces and least cost paths, multivariate spatial interpolation and 3D surface visualization. Special focus is on terrain modeling, geomorphometry, solar irradiation, visibility, and watershed analysis. Students are also introduced to the basic concepts of landscape process modeling with GIS and to the principles of open source GIS. Introductory level knowledge of GIS or surveying\/ geomatics principles is required.<\/p><\/div><\/div><\/div>Typically offered in Fall and Spring<\/em><\/p><\/div><\/div><\/div>GIS\u00a0584\/MEA\u00a0584<\/span><\/strong><\/span>\u00a0\u00a0Mapping and Analysis Using UAS<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>The course provides an overview of UAS mapping technology and its rules and regulations. The principles of UAS data collection are explained along with optional hands-on practice with in flight planning and execution. The main focus is on processing imagery collected from UAS using structure from motion techniques and deriving orthophoto mosaics and ultra-high resolution digital elevation models of land surface, vegetation and structures. More advanced topics include multi-temporal 3D data analysis, fusion with lidar data and 3D visualization.<\/p><\/div>Prerequisite: GIS\u00a0510<\/span> or GIS\/MEA\u00a0582<\/span> or Permission of Instructor<\/p><\/div><\/div>Typically offered in Fall only<\/em><\/p><\/div><\/div><\/div>GIS\u00a0590<\/strong><\/span>\u00a0\u00a0
Prerequisite: GIS\u00a0280<\/span><\/p><\/div><\/div>Typically offered in Fall only<\/em><\/p><\/div><\/div><\/div>GIS\u00a0512<\/strong><\/span>\u00a0\u00a0Introduction to Environmental Remote Sensing<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>Principles and hands-on techniques for processing and analyzing remotely sensed data for natural resource applications. Topics include review of the electromagnetic spectrum, pre-processing (georectification, enhancements and transformations), processing (visual interpretation, indices, supervised and unsupervised classification) and post-processing (masking, change analysis and accuracy assessment) of digital image data. This course will provide students with fundamental concepts and skills needed to pursue further studies in digital processing of remotely sensed data.<\/p><\/div><\/div><\/div>Typically offered in Spring only<\/em><\/p><\/div><\/div><\/div>GIS\u00a0515<\/strong><\/span>\u00a0\u00a0Cartographic Design<\/strong><\/span>\u00a0\u00a0(2 credit hours)<\/span>\u00a0\u00a0<\/div>Principles of cartographic design and how to apply them to produce high-quality geographic information system (GIS) based maps. Successful students will acquire an understanding of map design and experience applying it with GIS software. Students produce project maps in both print and web media.<\/p><\/div>Prerequisite: GIS\u00a0510<\/span><\/p><\/div><\/div>Typically offered in Spring only<\/em><\/p><\/div><\/div><\/div>GIS\u00a0517\/LAR\u00a0517<\/span><\/strong><\/span>\u00a0\u00a0GIS Applications in Landscape Architecture and Environmental Planning<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>Introduction to the methods and applications of geographic spatial modeling technology in landscape architecture and environmental planning.<\/p><\/div><\/div><\/div>Typically offered in Fall only<\/em><\/p><\/div><\/div><\/div>GIS\u00a0520<\/strong><\/span>\u00a0\u00a0Geospatial Data Science and Analysis<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>This course provides exposure to and practice applying a variety of geospatial analysis methods and tools to support decision-making. Students will use both ArcGIS Pro and the R(TM) programming language and briefly explore the interoperability between these platforms. Using both platforms, we will practice data cleaning and processing, as well as descriptive and inferential spatial analysis methods. Students will learn to identify common limitations and special considerations that arise when working with geospatial data workflows and will learn how to leverage multiple tools to develop appropriate analysis methods. This course will be a combination of lectures and hands-on software training. Prior knowledge of GIS fundamentals is required.<\/p><\/div>Prerequisite: GIS\u00a0510<\/span><\/p><\/div><\/div>Typically offered in Fall and Spring<\/em><\/p><\/div><\/div><\/div>GIS\u00a0521<\/strong><\/span>\u00a0\u00a0Surface Water Hydrology with GIS<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>The application of geographic information systems (GIS) to surface water modeling including stream and watershed delineations, regulatory wetlands jurisdiction determinations, and flood mapping. In addition students will develop spatial computation methods to support hydrological analysis in land use planning, landscape management, and engineering assessments.<\/p><\/div>Prerequisite: GIS\u00a0510<\/span> or PA\u00a0541<\/span> or SSC\u00a0440<\/span><\/p><\/div><\/div>Typically offered in Fall and Spring<\/em><\/p><\/div><\/div><\/div>GIS\u00a0530<\/strong><\/span>\u00a0\u00a0Spatial Data Foundations<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>This course focuses on geospatial information systems from a mathematical and information science perspective. We discuss theoretical frameworks for conceptualizing geographic data, including levels of measurement, data control, and the vector data and raster data paradigms. Then we discuss the geometric underpinnings of geospatial systems: representing data with geographic elements, spatial referencing systems, and projection. Next, we explore map-related topology and computational geometry concepts. Finally, we survey the algorithms for core spatial manipulations, such as interpolation and polygon operations.<\/p><\/div>Prerequisite: GIS\u00a0510<\/span> or PA\u00a0541<\/span> or SSC\u00a0440<\/span><\/p><\/div><\/div>Typically offered in Fall and Spring<\/em><\/p><\/div><\/div><\/div>GIS\u00a0535<\/strong><\/span>\u00a0\u00a0Web and Mobile GIS Protocols<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>This course examines the design, development and deployment of web and mobile geospatial applications using internet and web-based protocols. Throughout the course, students will develop and deploy web and mobile GIS maps and applications relevant to their career using on-premises hosted infrastructure. Course participants will be required to complete assignments with data relevant to their interests. Additionally, students will search for and examine scientific and popular literature to understand how the course concepts are being employed and to foster ideas and discussion.<\/p><\/div>Prerequisite: GIS\u00a0510<\/span><\/p><\/div><\/div>Typically offered in Fall only<\/em><\/p><\/div><\/div><\/div>GIS\u00a0540<\/strong><\/span>\u00a0\u00a0Geospatial Programming<\/strong><\/span>\u00a0\u00a0(4 credit hours)<\/span>\u00a0\u00a0<\/div>This course equips students with essential skills for geospatial programming. Topics include computer programming to call geospatial processing tools, batch process, performing file reading\/writing, and generating displays. To support these tasks, students learn basic programming concepts, such as pseudocode, flow-control, code reuse, and debugging. In the final project, students streamline GIS workflows and customize GIS user interfaces. Familiarity with GIS software is required, but no prior programming experience is expected.<\/p><\/div>Prerequisite: GIS\u00a0510<\/span><\/p><\/div><\/div>Typically offered in Fall and Spring<\/em><\/p><\/div><\/div><\/div>GIS\u00a0550<\/strong><\/span>\u00a0\u00a0Geospatial Data Structures and Web Services<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>This course examines the spatial database models and structures used in geospatial information science and technology as well as the design and implementation of web and related mobile computing geospatial tools and systems. Students develop, evaluate, and deploy multiple spatial data models and web services that include connections to external data sources and systems.<\/p><\/div>Prerequisite: GIS\u00a0540<\/span><\/p><\/div><\/div>Typically offered in Fall and Spring<\/em><\/p><\/div><\/div><\/div>GIS\u00a0582\/MEA\u00a0582<\/span><\/strong><\/span>\u00a0\u00a0Geospatial Modeling<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>The course provides foundations in methods for GIS-based surface analysis and modeling. The topics include proximity analysis with cost surfaces and least cost paths, multivariate spatial interpolation and 3D surface visualization. Special focus is on terrain modeling, geomorphometry, solar irradiation, visibility, and watershed analysis. Students are also introduced to the basic concepts of landscape process modeling with GIS and to the principles of open source GIS. Introductory level knowledge of GIS or surveying\/ geomatics principles is required.<\/p><\/div><\/div><\/div>Typically offered in Fall and Spring<\/em><\/p><\/div><\/div><\/div>GIS\u00a0584\/MEA\u00a0584<\/span><\/strong><\/span>\u00a0\u00a0Mapping and Analysis Using UAS<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>The course provides an overview of UAS mapping technology and its rules and regulations. The principles of UAS data collection are explained along with optional hands-on practice with in flight planning and execution. The main focus is on processing imagery collected from UAS using structure from motion techniques and deriving orthophoto mosaics and ultra-high resolution digital elevation models of land surface, vegetation and structures. More advanced topics include multi-temporal 3D data analysis, fusion with lidar data and 3D visualization.<\/p><\/div>Prerequisite: GIS\u00a0510<\/span> or GIS\/MEA\u00a0582<\/span> or Permission of Instructor<\/p><\/div><\/div>Typically offered in Fall only<\/em><\/p><\/div><\/div><\/div>GIS\u00a0590<\/strong><\/span>\u00a0\u00a0
Typically offered in Fall only<\/em><\/p><\/div><\/div><\/div>GIS\u00a0512<\/strong><\/span>\u00a0\u00a0Introduction to Environmental Remote Sensing<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>Principles and hands-on techniques for processing and analyzing remotely sensed data for natural resource applications. Topics include review of the electromagnetic spectrum, pre-processing (georectification, enhancements and transformations), processing (visual interpretation, indices, supervised and unsupervised classification) and post-processing (masking, change analysis and accuracy assessment) of digital image data. This course will provide students with fundamental concepts and skills needed to pursue further studies in digital processing of remotely sensed data.<\/p><\/div><\/div><\/div>Typically offered in Spring only<\/em><\/p><\/div><\/div><\/div>GIS\u00a0515<\/strong><\/span>\u00a0\u00a0Cartographic Design<\/strong><\/span>\u00a0\u00a0(2 credit hours)<\/span>\u00a0\u00a0<\/div>Principles of cartographic design and how to apply them to produce high-quality geographic information system (GIS) based maps. Successful students will acquire an understanding of map design and experience applying it with GIS software. Students produce project maps in both print and web media.<\/p><\/div>Prerequisite: GIS\u00a0510<\/span><\/p><\/div><\/div>Typically offered in Spring only<\/em><\/p><\/div><\/div><\/div>GIS\u00a0517\/LAR\u00a0517<\/span><\/strong><\/span>\u00a0\u00a0GIS Applications in Landscape Architecture and Environmental Planning<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>Introduction to the methods and applications of geographic spatial modeling technology in landscape architecture and environmental planning.<\/p><\/div><\/div><\/div>Typically offered in Fall only<\/em><\/p><\/div><\/div><\/div>GIS\u00a0520<\/strong><\/span>\u00a0\u00a0Geospatial Data Science and Analysis<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>This course provides exposure to and practice applying a variety of geospatial analysis methods and tools to support decision-making. Students will use both ArcGIS Pro and the R(TM) programming language and briefly explore the interoperability between these platforms. Using both platforms, we will practice data cleaning and processing, as well as descriptive and inferential spatial analysis methods. Students will learn to identify common limitations and special considerations that arise when working with geospatial data workflows and will learn how to leverage multiple tools to develop appropriate analysis methods. This course will be a combination of lectures and hands-on software training. Prior knowledge of GIS fundamentals is required.<\/p><\/div>Prerequisite: GIS\u00a0510<\/span><\/p><\/div><\/div>Typically offered in Fall and Spring<\/em><\/p><\/div><\/div><\/div>GIS\u00a0521<\/strong><\/span>\u00a0\u00a0Surface Water Hydrology with GIS<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>The application of geographic information systems (GIS) to surface water modeling including stream and watershed delineations, regulatory wetlands jurisdiction determinations, and flood mapping. In addition students will develop spatial computation methods to support hydrological analysis in land use planning, landscape management, and engineering assessments.<\/p><\/div>Prerequisite: GIS\u00a0510<\/span> or PA\u00a0541<\/span> or SSC\u00a0440<\/span><\/p><\/div><\/div>Typically offered in Fall and Spring<\/em><\/p><\/div><\/div><\/div>GIS\u00a0530<\/strong><\/span>\u00a0\u00a0Spatial Data Foundations<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>This course focuses on geospatial information systems from a mathematical and information science perspective. We discuss theoretical frameworks for conceptualizing geographic data, including levels of measurement, data control, and the vector data and raster data paradigms. Then we discuss the geometric underpinnings of geospatial systems: representing data with geographic elements, spatial referencing systems, and projection. Next, we explore map-related topology and computational geometry concepts. Finally, we survey the algorithms for core spatial manipulations, such as interpolation and polygon operations.<\/p><\/div>Prerequisite: GIS\u00a0510<\/span> or PA\u00a0541<\/span> or SSC\u00a0440<\/span><\/p><\/div><\/div>Typically offered in Fall and Spring<\/em><\/p><\/div><\/div><\/div>GIS\u00a0535<\/strong><\/span>\u00a0\u00a0Web and Mobile GIS Protocols<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>This course examines the design, development and deployment of web and mobile geospatial applications using internet and web-based protocols. Throughout the course, students will develop and deploy web and mobile GIS maps and applications relevant to their career using on-premises hosted infrastructure. Course participants will be required to complete assignments with data relevant to their interests. Additionally, students will search for and examine scientific and popular literature to understand how the course concepts are being employed and to foster ideas and discussion.<\/p><\/div>Prerequisite: GIS\u00a0510<\/span><\/p><\/div><\/div>Typically offered in Fall only<\/em><\/p><\/div><\/div><\/div>GIS\u00a0540<\/strong><\/span>\u00a0\u00a0Geospatial Programming<\/strong><\/span>\u00a0\u00a0(4 credit hours)<\/span>\u00a0\u00a0<\/div>This course equips students with essential skills for geospatial programming. Topics include computer programming to call geospatial processing tools, batch process, performing file reading\/writing, and generating displays. To support these tasks, students learn basic programming concepts, such as pseudocode, flow-control, code reuse, and debugging. In the final project, students streamline GIS workflows and customize GIS user interfaces. Familiarity with GIS software is required, but no prior programming experience is expected.<\/p><\/div>Prerequisite: GIS\u00a0510<\/span><\/p><\/div><\/div>Typically offered in Fall and Spring<\/em><\/p><\/div><\/div><\/div>GIS\u00a0550<\/strong><\/span>\u00a0\u00a0Geospatial Data Structures and Web Services<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>This course examines the spatial database models and structures used in geospatial information science and technology as well as the design and implementation of web and related mobile computing geospatial tools and systems. Students develop, evaluate, and deploy multiple spatial data models and web services that include connections to external data sources and systems.<\/p><\/div>Prerequisite: GIS\u00a0540<\/span><\/p><\/div><\/div>Typically offered in Fall and Spring<\/em><\/p><\/div><\/div><\/div>GIS\u00a0582\/MEA\u00a0582<\/span><\/strong><\/span>\u00a0\u00a0Geospatial Modeling<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>The course provides foundations in methods for GIS-based surface analysis and modeling. The topics include proximity analysis with cost surfaces and least cost paths, multivariate spatial interpolation and 3D surface visualization. Special focus is on terrain modeling, geomorphometry, solar irradiation, visibility, and watershed analysis. Students are also introduced to the basic concepts of landscape process modeling with GIS and to the principles of open source GIS. Introductory level knowledge of GIS or surveying\/ geomatics principles is required.<\/p><\/div><\/div><\/div>Typically offered in Fall and Spring<\/em><\/p><\/div><\/div><\/div>GIS\u00a0584\/MEA\u00a0584<\/span><\/strong><\/span>\u00a0\u00a0Mapping and Analysis Using UAS<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>The course provides an overview of UAS mapping technology and its rules and regulations. The principles of UAS data collection are explained along with optional hands-on practice with in flight planning and execution. The main focus is on processing imagery collected from UAS using structure from motion techniques and deriving orthophoto mosaics and ultra-high resolution digital elevation models of land surface, vegetation and structures. More advanced topics include multi-temporal 3D data analysis, fusion with lidar data and 3D visualization.<\/p><\/div>Prerequisite: GIS\u00a0510<\/span> or GIS\/MEA\u00a0582<\/span> or Permission of Instructor<\/p><\/div><\/div>Typically offered in Fall only<\/em><\/p><\/div><\/div><\/div>GIS\u00a0590<\/strong><\/span>\u00a0\u00a0
Principles and hands-on techniques for processing and analyzing remotely sensed data for natural resource applications. Topics include review of the electromagnetic spectrum, pre-processing (georectification, enhancements and transformations), processing (visual interpretation, indices, supervised and unsupervised classification) and post-processing (masking, change analysis and accuracy assessment) of digital image data. This course will provide students with fundamental concepts and skills needed to pursue further studies in digital processing of remotely sensed data.<\/p><\/div>
Typically offered in Spring only<\/em><\/p><\/div><\/div><\/div>GIS\u00a0515<\/strong><\/span>\u00a0\u00a0Cartographic Design<\/strong><\/span>\u00a0\u00a0(2 credit hours)<\/span>\u00a0\u00a0<\/div>Principles of cartographic design and how to apply them to produce high-quality geographic information system (GIS) based maps. Successful students will acquire an understanding of map design and experience applying it with GIS software. Students produce project maps in both print and web media.<\/p><\/div>Prerequisite: GIS\u00a0510<\/span><\/p><\/div><\/div>Typically offered in Spring only<\/em><\/p><\/div><\/div><\/div>GIS\u00a0517\/LAR\u00a0517<\/span><\/strong><\/span>\u00a0\u00a0GIS Applications in Landscape Architecture and Environmental Planning<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>Introduction to the methods and applications of geographic spatial modeling technology in landscape architecture and environmental planning.<\/p><\/div><\/div><\/div>Typically offered in Fall only<\/em><\/p><\/div><\/div><\/div>GIS\u00a0520<\/strong><\/span>\u00a0\u00a0Geospatial Data Science and Analysis<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>This course provides exposure to and practice applying a variety of geospatial analysis methods and tools to support decision-making. Students will use both ArcGIS Pro and the R(TM) programming language and briefly explore the interoperability between these platforms. Using both platforms, we will practice data cleaning and processing, as well as descriptive and inferential spatial analysis methods. Students will learn to identify common limitations and special considerations that arise when working with geospatial data workflows and will learn how to leverage multiple tools to develop appropriate analysis methods. This course will be a combination of lectures and hands-on software training. Prior knowledge of GIS fundamentals is required.<\/p><\/div>Prerequisite: GIS\u00a0510<\/span><\/p><\/div><\/div>Typically offered in Fall and Spring<\/em><\/p><\/div><\/div><\/div>GIS\u00a0521<\/strong><\/span>\u00a0\u00a0Surface Water Hydrology with GIS<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>The application of geographic information systems (GIS) to surface water modeling including stream and watershed delineations, regulatory wetlands jurisdiction determinations, and flood mapping. In addition students will develop spatial computation methods to support hydrological analysis in land use planning, landscape management, and engineering assessments.<\/p><\/div>Prerequisite: GIS\u00a0510<\/span> or PA\u00a0541<\/span> or SSC\u00a0440<\/span><\/p><\/div><\/div>Typically offered in Fall and Spring<\/em><\/p><\/div><\/div><\/div>GIS\u00a0530<\/strong><\/span>\u00a0\u00a0Spatial Data Foundations<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>This course focuses on geospatial information systems from a mathematical and information science perspective. We discuss theoretical frameworks for conceptualizing geographic data, including levels of measurement, data control, and the vector data and raster data paradigms. Then we discuss the geometric underpinnings of geospatial systems: representing data with geographic elements, spatial referencing systems, and projection. Next, we explore map-related topology and computational geometry concepts. Finally, we survey the algorithms for core spatial manipulations, such as interpolation and polygon operations.<\/p><\/div>Prerequisite: GIS\u00a0510<\/span> or PA\u00a0541<\/span> or SSC\u00a0440<\/span><\/p><\/div><\/div>Typically offered in Fall and Spring<\/em><\/p><\/div><\/div><\/div>GIS\u00a0535<\/strong><\/span>\u00a0\u00a0Web and Mobile GIS Protocols<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>This course examines the design, development and deployment of web and mobile geospatial applications using internet and web-based protocols. Throughout the course, students will develop and deploy web and mobile GIS maps and applications relevant to their career using on-premises hosted infrastructure. Course participants will be required to complete assignments with data relevant to their interests. Additionally, students will search for and examine scientific and popular literature to understand how the course concepts are being employed and to foster ideas and discussion.<\/p><\/div>Prerequisite: GIS\u00a0510<\/span><\/p><\/div><\/div>Typically offered in Fall only<\/em><\/p><\/div><\/div><\/div>GIS\u00a0540<\/strong><\/span>\u00a0\u00a0Geospatial Programming<\/strong><\/span>\u00a0\u00a0(4 credit hours)<\/span>\u00a0\u00a0<\/div>This course equips students with essential skills for geospatial programming. Topics include computer programming to call geospatial processing tools, batch process, performing file reading\/writing, and generating displays. To support these tasks, students learn basic programming concepts, such as pseudocode, flow-control, code reuse, and debugging. In the final project, students streamline GIS workflows and customize GIS user interfaces. Familiarity with GIS software is required, but no prior programming experience is expected.<\/p><\/div>Prerequisite: GIS\u00a0510<\/span><\/p><\/div><\/div>Typically offered in Fall and Spring<\/em><\/p><\/div><\/div><\/div>GIS\u00a0550<\/strong><\/span>\u00a0\u00a0Geospatial Data Structures and Web Services<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>This course examines the spatial database models and structures used in geospatial information science and technology as well as the design and implementation of web and related mobile computing geospatial tools and systems. Students develop, evaluate, and deploy multiple spatial data models and web services that include connections to external data sources and systems.<\/p><\/div>Prerequisite: GIS\u00a0540<\/span><\/p><\/div><\/div>Typically offered in Fall and Spring<\/em><\/p><\/div><\/div><\/div>GIS\u00a0582\/MEA\u00a0582<\/span><\/strong><\/span>\u00a0\u00a0Geospatial Modeling<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>The course provides foundations in methods for GIS-based surface analysis and modeling. The topics include proximity analysis with cost surfaces and least cost paths, multivariate spatial interpolation and 3D surface visualization. Special focus is on terrain modeling, geomorphometry, solar irradiation, visibility, and watershed analysis. Students are also introduced to the basic concepts of landscape process modeling with GIS and to the principles of open source GIS. Introductory level knowledge of GIS or surveying\/ geomatics principles is required.<\/p><\/div><\/div><\/div>Typically offered in Fall and Spring<\/em><\/p><\/div><\/div><\/div>GIS\u00a0584\/MEA\u00a0584<\/span><\/strong><\/span>\u00a0\u00a0Mapping and Analysis Using UAS<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>The course provides an overview of UAS mapping technology and its rules and regulations. The principles of UAS data collection are explained along with optional hands-on practice with in flight planning and execution. The main focus is on processing imagery collected from UAS using structure from motion techniques and deriving orthophoto mosaics and ultra-high resolution digital elevation models of land surface, vegetation and structures. More advanced topics include multi-temporal 3D data analysis, fusion with lidar data and 3D visualization.<\/p><\/div>Prerequisite: GIS\u00a0510<\/span> or GIS\/MEA\u00a0582<\/span> or Permission of Instructor<\/p><\/div><\/div>Typically offered in Fall only<\/em><\/p><\/div><\/div><\/div>GIS\u00a0590<\/strong><\/span>\u00a0\u00a0
Principles of cartographic design and how to apply them to produce high-quality geographic information system (GIS) based maps. Successful students will acquire an understanding of map design and experience applying it with GIS software. Students produce project maps in both print and web media.<\/p><\/div>
Prerequisite: GIS\u00a0510<\/span><\/p><\/div><\/div>Typically offered in Spring only<\/em><\/p><\/div><\/div><\/div>GIS\u00a0517\/LAR\u00a0517<\/span><\/strong><\/span>\u00a0\u00a0GIS Applications in Landscape Architecture and Environmental Planning<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>Introduction to the methods and applications of geographic spatial modeling technology in landscape architecture and environmental planning.<\/p><\/div><\/div><\/div>Typically offered in Fall only<\/em><\/p><\/div><\/div><\/div>GIS\u00a0520<\/strong><\/span>\u00a0\u00a0Geospatial Data Science and Analysis<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>This course provides exposure to and practice applying a variety of geospatial analysis methods and tools to support decision-making. Students will use both ArcGIS Pro and the R(TM) programming language and briefly explore the interoperability between these platforms. Using both platforms, we will practice data cleaning and processing, as well as descriptive and inferential spatial analysis methods. Students will learn to identify common limitations and special considerations that arise when working with geospatial data workflows and will learn how to leverage multiple tools to develop appropriate analysis methods. This course will be a combination of lectures and hands-on software training. Prior knowledge of GIS fundamentals is required.<\/p><\/div>Prerequisite: GIS\u00a0510<\/span><\/p><\/div><\/div>Typically offered in Fall and Spring<\/em><\/p><\/div><\/div><\/div>GIS\u00a0521<\/strong><\/span>\u00a0\u00a0Surface Water Hydrology with GIS<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>The application of geographic information systems (GIS) to surface water modeling including stream and watershed delineations, regulatory wetlands jurisdiction determinations, and flood mapping. In addition students will develop spatial computation methods to support hydrological analysis in land use planning, landscape management, and engineering assessments.<\/p><\/div>Prerequisite: GIS\u00a0510<\/span> or PA\u00a0541<\/span> or SSC\u00a0440<\/span><\/p><\/div><\/div>Typically offered in Fall and Spring<\/em><\/p><\/div><\/div><\/div>GIS\u00a0530<\/strong><\/span>\u00a0\u00a0Spatial Data Foundations<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>This course focuses on geospatial information systems from a mathematical and information science perspective. We discuss theoretical frameworks for conceptualizing geographic data, including levels of measurement, data control, and the vector data and raster data paradigms. Then we discuss the geometric underpinnings of geospatial systems: representing data with geographic elements, spatial referencing systems, and projection. Next, we explore map-related topology and computational geometry concepts. Finally, we survey the algorithms for core spatial manipulations, such as interpolation and polygon operations.<\/p><\/div>Prerequisite: GIS\u00a0510<\/span> or PA\u00a0541<\/span> or SSC\u00a0440<\/span><\/p><\/div><\/div>Typically offered in Fall and Spring<\/em><\/p><\/div><\/div><\/div>GIS\u00a0535<\/strong><\/span>\u00a0\u00a0Web and Mobile GIS Protocols<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>This course examines the design, development and deployment of web and mobile geospatial applications using internet and web-based protocols. Throughout the course, students will develop and deploy web and mobile GIS maps and applications relevant to their career using on-premises hosted infrastructure. Course participants will be required to complete assignments with data relevant to their interests. Additionally, students will search for and examine scientific and popular literature to understand how the course concepts are being employed and to foster ideas and discussion.<\/p><\/div>Prerequisite: GIS\u00a0510<\/span><\/p><\/div><\/div>Typically offered in Fall only<\/em><\/p><\/div><\/div><\/div>GIS\u00a0540<\/strong><\/span>\u00a0\u00a0Geospatial Programming<\/strong><\/span>\u00a0\u00a0(4 credit hours)<\/span>\u00a0\u00a0<\/div>This course equips students with essential skills for geospatial programming. Topics include computer programming to call geospatial processing tools, batch process, performing file reading\/writing, and generating displays. To support these tasks, students learn basic programming concepts, such as pseudocode, flow-control, code reuse, and debugging. In the final project, students streamline GIS workflows and customize GIS user interfaces. Familiarity with GIS software is required, but no prior programming experience is expected.<\/p><\/div>Prerequisite: GIS\u00a0510<\/span><\/p><\/div><\/div>Typically offered in Fall and Spring<\/em><\/p><\/div><\/div><\/div>GIS\u00a0550<\/strong><\/span>\u00a0\u00a0Geospatial Data Structures and Web Services<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>This course examines the spatial database models and structures used in geospatial information science and technology as well as the design and implementation of web and related mobile computing geospatial tools and systems. Students develop, evaluate, and deploy multiple spatial data models and web services that include connections to external data sources and systems.<\/p><\/div>Prerequisite: GIS\u00a0540<\/span><\/p><\/div><\/div>Typically offered in Fall and Spring<\/em><\/p><\/div><\/div><\/div>GIS\u00a0582\/MEA\u00a0582<\/span><\/strong><\/span>\u00a0\u00a0Geospatial Modeling<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>The course provides foundations in methods for GIS-based surface analysis and modeling. The topics include proximity analysis with cost surfaces and least cost paths, multivariate spatial interpolation and 3D surface visualization. Special focus is on terrain modeling, geomorphometry, solar irradiation, visibility, and watershed analysis. Students are also introduced to the basic concepts of landscape process modeling with GIS and to the principles of open source GIS. Introductory level knowledge of GIS or surveying\/ geomatics principles is required.<\/p><\/div><\/div><\/div>Typically offered in Fall and Spring<\/em><\/p><\/div><\/div><\/div>GIS\u00a0584\/MEA\u00a0584<\/span><\/strong><\/span>\u00a0\u00a0Mapping and Analysis Using UAS<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>The course provides an overview of UAS mapping technology and its rules and regulations. The principles of UAS data collection are explained along with optional hands-on practice with in flight planning and execution. The main focus is on processing imagery collected from UAS using structure from motion techniques and deriving orthophoto mosaics and ultra-high resolution digital elevation models of land surface, vegetation and structures. More advanced topics include multi-temporal 3D data analysis, fusion with lidar data and 3D visualization.<\/p><\/div>Prerequisite: GIS\u00a0510<\/span> or GIS\/MEA\u00a0582<\/span> or Permission of Instructor<\/p><\/div><\/div>Typically offered in Fall only<\/em><\/p><\/div><\/div><\/div>GIS\u00a0590<\/strong><\/span>\u00a0\u00a0
Typically offered in Spring only<\/em><\/p><\/div><\/div><\/div>GIS\u00a0517\/LAR\u00a0517<\/span><\/strong><\/span>\u00a0\u00a0GIS Applications in Landscape Architecture and Environmental Planning<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>Introduction to the methods and applications of geographic spatial modeling technology in landscape architecture and environmental planning.<\/p><\/div><\/div><\/div>Typically offered in Fall only<\/em><\/p><\/div><\/div><\/div>GIS\u00a0520<\/strong><\/span>\u00a0\u00a0Geospatial Data Science and Analysis<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>This course provides exposure to and practice applying a variety of geospatial analysis methods and tools to support decision-making. Students will use both ArcGIS Pro and the R(TM) programming language and briefly explore the interoperability between these platforms. Using both platforms, we will practice data cleaning and processing, as well as descriptive and inferential spatial analysis methods. Students will learn to identify common limitations and special considerations that arise when working with geospatial data workflows and will learn how to leverage multiple tools to develop appropriate analysis methods. This course will be a combination of lectures and hands-on software training. Prior knowledge of GIS fundamentals is required.<\/p><\/div>Prerequisite: GIS\u00a0510<\/span><\/p><\/div><\/div>Typically offered in Fall and Spring<\/em><\/p><\/div><\/div><\/div>GIS\u00a0521<\/strong><\/span>\u00a0\u00a0Surface Water Hydrology with GIS<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>The application of geographic information systems (GIS) to surface water modeling including stream and watershed delineations, regulatory wetlands jurisdiction determinations, and flood mapping. In addition students will develop spatial computation methods to support hydrological analysis in land use planning, landscape management, and engineering assessments.<\/p><\/div>Prerequisite: GIS\u00a0510<\/span> or PA\u00a0541<\/span> or SSC\u00a0440<\/span><\/p><\/div><\/div>Typically offered in Fall and Spring<\/em><\/p><\/div><\/div><\/div>GIS\u00a0530<\/strong><\/span>\u00a0\u00a0Spatial Data Foundations<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>This course focuses on geospatial information systems from a mathematical and information science perspective. We discuss theoretical frameworks for conceptualizing geographic data, including levels of measurement, data control, and the vector data and raster data paradigms. Then we discuss the geometric underpinnings of geospatial systems: representing data with geographic elements, spatial referencing systems, and projection. Next, we explore map-related topology and computational geometry concepts. Finally, we survey the algorithms for core spatial manipulations, such as interpolation and polygon operations.<\/p><\/div>Prerequisite: GIS\u00a0510<\/span> or PA\u00a0541<\/span> or SSC\u00a0440<\/span><\/p><\/div><\/div>Typically offered in Fall and Spring<\/em><\/p><\/div><\/div><\/div>GIS\u00a0535<\/strong><\/span>\u00a0\u00a0Web and Mobile GIS Protocols<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>This course examines the design, development and deployment of web and mobile geospatial applications using internet and web-based protocols. Throughout the course, students will develop and deploy web and mobile GIS maps and applications relevant to their career using on-premises hosted infrastructure. Course participants will be required to complete assignments with data relevant to their interests. Additionally, students will search for and examine scientific and popular literature to understand how the course concepts are being employed and to foster ideas and discussion.<\/p><\/div>Prerequisite: GIS\u00a0510<\/span><\/p><\/div><\/div>Typically offered in Fall only<\/em><\/p><\/div><\/div><\/div>GIS\u00a0540<\/strong><\/span>\u00a0\u00a0Geospatial Programming<\/strong><\/span>\u00a0\u00a0(4 credit hours)<\/span>\u00a0\u00a0<\/div>This course equips students with essential skills for geospatial programming. Topics include computer programming to call geospatial processing tools, batch process, performing file reading\/writing, and generating displays. To support these tasks, students learn basic programming concepts, such as pseudocode, flow-control, code reuse, and debugging. In the final project, students streamline GIS workflows and customize GIS user interfaces. Familiarity with GIS software is required, but no prior programming experience is expected.<\/p><\/div>Prerequisite: GIS\u00a0510<\/span><\/p><\/div><\/div>Typically offered in Fall and Spring<\/em><\/p><\/div><\/div><\/div>GIS\u00a0550<\/strong><\/span>\u00a0\u00a0Geospatial Data Structures and Web Services<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>This course examines the spatial database models and structures used in geospatial information science and technology as well as the design and implementation of web and related mobile computing geospatial tools and systems. Students develop, evaluate, and deploy multiple spatial data models and web services that include connections to external data sources and systems.<\/p><\/div>Prerequisite: GIS\u00a0540<\/span><\/p><\/div><\/div>Typically offered in Fall and Spring<\/em><\/p><\/div><\/div><\/div>GIS\u00a0582\/MEA\u00a0582<\/span><\/strong><\/span>\u00a0\u00a0Geospatial Modeling<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>The course provides foundations in methods for GIS-based surface analysis and modeling. The topics include proximity analysis with cost surfaces and least cost paths, multivariate spatial interpolation and 3D surface visualization. Special focus is on terrain modeling, geomorphometry, solar irradiation, visibility, and watershed analysis. Students are also introduced to the basic concepts of landscape process modeling with GIS and to the principles of open source GIS. Introductory level knowledge of GIS or surveying\/ geomatics principles is required.<\/p><\/div><\/div><\/div>Typically offered in Fall and Spring<\/em><\/p><\/div><\/div><\/div>GIS\u00a0584\/MEA\u00a0584<\/span><\/strong><\/span>\u00a0\u00a0Mapping and Analysis Using UAS<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>The course provides an overview of UAS mapping technology and its rules and regulations. The principles of UAS data collection are explained along with optional hands-on practice with in flight planning and execution. The main focus is on processing imagery collected from UAS using structure from motion techniques and deriving orthophoto mosaics and ultra-high resolution digital elevation models of land surface, vegetation and structures. More advanced topics include multi-temporal 3D data analysis, fusion with lidar data and 3D visualization.<\/p><\/div>Prerequisite: GIS\u00a0510<\/span> or GIS\/MEA\u00a0582<\/span> or Permission of Instructor<\/p><\/div><\/div>Typically offered in Fall only<\/em><\/p><\/div><\/div><\/div>GIS\u00a0590<\/strong><\/span>\u00a0\u00a0
Introduction to the methods and applications of geographic spatial modeling technology in landscape architecture and environmental planning.<\/p><\/div>
Typically offered in Fall only<\/em><\/p><\/div><\/div><\/div>GIS\u00a0520<\/strong><\/span>\u00a0\u00a0Geospatial Data Science and Analysis<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>This course provides exposure to and practice applying a variety of geospatial analysis methods and tools to support decision-making. Students will use both ArcGIS Pro and the R(TM) programming language and briefly explore the interoperability between these platforms. Using both platforms, we will practice data cleaning and processing, as well as descriptive and inferential spatial analysis methods. Students will learn to identify common limitations and special considerations that arise when working with geospatial data workflows and will learn how to leverage multiple tools to develop appropriate analysis methods. This course will be a combination of lectures and hands-on software training. Prior knowledge of GIS fundamentals is required.<\/p><\/div>Prerequisite: GIS\u00a0510<\/span><\/p><\/div><\/div>Typically offered in Fall and Spring<\/em><\/p><\/div><\/div><\/div>GIS\u00a0521<\/strong><\/span>\u00a0\u00a0Surface Water Hydrology with GIS<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>The application of geographic information systems (GIS) to surface water modeling including stream and watershed delineations, regulatory wetlands jurisdiction determinations, and flood mapping. In addition students will develop spatial computation methods to support hydrological analysis in land use planning, landscape management, and engineering assessments.<\/p><\/div>Prerequisite: GIS\u00a0510<\/span> or PA\u00a0541<\/span> or SSC\u00a0440<\/span><\/p><\/div><\/div>Typically offered in Fall and Spring<\/em><\/p><\/div><\/div><\/div>GIS\u00a0530<\/strong><\/span>\u00a0\u00a0Spatial Data Foundations<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>This course focuses on geospatial information systems from a mathematical and information science perspective. We discuss theoretical frameworks for conceptualizing geographic data, including levels of measurement, data control, and the vector data and raster data paradigms. Then we discuss the geometric underpinnings of geospatial systems: representing data with geographic elements, spatial referencing systems, and projection. Next, we explore map-related topology and computational geometry concepts. Finally, we survey the algorithms for core spatial manipulations, such as interpolation and polygon operations.<\/p><\/div>Prerequisite: GIS\u00a0510<\/span> or PA\u00a0541<\/span> or SSC\u00a0440<\/span><\/p><\/div><\/div>Typically offered in Fall and Spring<\/em><\/p><\/div><\/div><\/div>GIS\u00a0535<\/strong><\/span>\u00a0\u00a0Web and Mobile GIS Protocols<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>This course examines the design, development and deployment of web and mobile geospatial applications using internet and web-based protocols. Throughout the course, students will develop and deploy web and mobile GIS maps and applications relevant to their career using on-premises hosted infrastructure. Course participants will be required to complete assignments with data relevant to their interests. Additionally, students will search for and examine scientific and popular literature to understand how the course concepts are being employed and to foster ideas and discussion.<\/p><\/div>Prerequisite: GIS\u00a0510<\/span><\/p><\/div><\/div>Typically offered in Fall only<\/em><\/p><\/div><\/div><\/div>GIS\u00a0540<\/strong><\/span>\u00a0\u00a0Geospatial Programming<\/strong><\/span>\u00a0\u00a0(4 credit hours)<\/span>\u00a0\u00a0<\/div>This course equips students with essential skills for geospatial programming. Topics include computer programming to call geospatial processing tools, batch process, performing file reading\/writing, and generating displays. To support these tasks, students learn basic programming concepts, such as pseudocode, flow-control, code reuse, and debugging. In the final project, students streamline GIS workflows and customize GIS user interfaces. Familiarity with GIS software is required, but no prior programming experience is expected.<\/p><\/div>Prerequisite: GIS\u00a0510<\/span><\/p><\/div><\/div>Typically offered in Fall and Spring<\/em><\/p><\/div><\/div><\/div>GIS\u00a0550<\/strong><\/span>\u00a0\u00a0Geospatial Data Structures and Web Services<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>This course examines the spatial database models and structures used in geospatial information science and technology as well as the design and implementation of web and related mobile computing geospatial tools and systems. Students develop, evaluate, and deploy multiple spatial data models and web services that include connections to external data sources and systems.<\/p><\/div>Prerequisite: GIS\u00a0540<\/span><\/p><\/div><\/div>Typically offered in Fall and Spring<\/em><\/p><\/div><\/div><\/div>GIS\u00a0582\/MEA\u00a0582<\/span><\/strong><\/span>\u00a0\u00a0Geospatial Modeling<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>The course provides foundations in methods for GIS-based surface analysis and modeling. The topics include proximity analysis with cost surfaces and least cost paths, multivariate spatial interpolation and 3D surface visualization. Special focus is on terrain modeling, geomorphometry, solar irradiation, visibility, and watershed analysis. Students are also introduced to the basic concepts of landscape process modeling with GIS and to the principles of open source GIS. Introductory level knowledge of GIS or surveying\/ geomatics principles is required.<\/p><\/div><\/div><\/div>Typically offered in Fall and Spring<\/em><\/p><\/div><\/div><\/div>GIS\u00a0584\/MEA\u00a0584<\/span><\/strong><\/span>\u00a0\u00a0Mapping and Analysis Using UAS<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>The course provides an overview of UAS mapping technology and its rules and regulations. The principles of UAS data collection are explained along with optional hands-on practice with in flight planning and execution. The main focus is on processing imagery collected from UAS using structure from motion techniques and deriving orthophoto mosaics and ultra-high resolution digital elevation models of land surface, vegetation and structures. More advanced topics include multi-temporal 3D data analysis, fusion with lidar data and 3D visualization.<\/p><\/div>Prerequisite: GIS\u00a0510<\/span> or GIS\/MEA\u00a0582<\/span> or Permission of Instructor<\/p><\/div><\/div>Typically offered in Fall only<\/em><\/p><\/div><\/div><\/div>GIS\u00a0590<\/strong><\/span>\u00a0\u00a0
This course provides exposure to and practice applying a variety of geospatial analysis methods and tools to support decision-making. Students will use both ArcGIS Pro and the R(TM) programming language and briefly explore the interoperability between these platforms. Using both platforms, we will practice data cleaning and processing, as well as descriptive and inferential spatial analysis methods. Students will learn to identify common limitations and special considerations that arise when working with geospatial data workflows and will learn how to leverage multiple tools to develop appropriate analysis methods. This course will be a combination of lectures and hands-on software training. Prior knowledge of GIS fundamentals is required.<\/p><\/div>
Prerequisite: GIS\u00a0510<\/span><\/p><\/div><\/div>Typically offered in Fall and Spring<\/em><\/p><\/div><\/div><\/div>GIS\u00a0521<\/strong><\/span>\u00a0\u00a0Surface Water Hydrology with GIS<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>The application of geographic information systems (GIS) to surface water modeling including stream and watershed delineations, regulatory wetlands jurisdiction determinations, and flood mapping. In addition students will develop spatial computation methods to support hydrological analysis in land use planning, landscape management, and engineering assessments.<\/p><\/div>Prerequisite: GIS\u00a0510<\/span> or PA\u00a0541<\/span> or SSC\u00a0440<\/span><\/p><\/div><\/div>Typically offered in Fall and Spring<\/em><\/p><\/div><\/div><\/div>GIS\u00a0530<\/strong><\/span>\u00a0\u00a0Spatial Data Foundations<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>This course focuses on geospatial information systems from a mathematical and information science perspective. We discuss theoretical frameworks for conceptualizing geographic data, including levels of measurement, data control, and the vector data and raster data paradigms. Then we discuss the geometric underpinnings of geospatial systems: representing data with geographic elements, spatial referencing systems, and projection. Next, we explore map-related topology and computational geometry concepts. Finally, we survey the algorithms for core spatial manipulations, such as interpolation and polygon operations.<\/p><\/div>Prerequisite: GIS\u00a0510<\/span> or PA\u00a0541<\/span> or SSC\u00a0440<\/span><\/p><\/div><\/div>Typically offered in Fall and Spring<\/em><\/p><\/div><\/div><\/div>GIS\u00a0535<\/strong><\/span>\u00a0\u00a0Web and Mobile GIS Protocols<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>This course examines the design, development and deployment of web and mobile geospatial applications using internet and web-based protocols. Throughout the course, students will develop and deploy web and mobile GIS maps and applications relevant to their career using on-premises hosted infrastructure. Course participants will be required to complete assignments with data relevant to their interests. Additionally, students will search for and examine scientific and popular literature to understand how the course concepts are being employed and to foster ideas and discussion.<\/p><\/div>Prerequisite: GIS\u00a0510<\/span><\/p><\/div><\/div>Typically offered in Fall only<\/em><\/p><\/div><\/div><\/div>GIS\u00a0540<\/strong><\/span>\u00a0\u00a0Geospatial Programming<\/strong><\/span>\u00a0\u00a0(4 credit hours)<\/span>\u00a0\u00a0<\/div>This course equips students with essential skills for geospatial programming. Topics include computer programming to call geospatial processing tools, batch process, performing file reading\/writing, and generating displays. To support these tasks, students learn basic programming concepts, such as pseudocode, flow-control, code reuse, and debugging. In the final project, students streamline GIS workflows and customize GIS user interfaces. Familiarity with GIS software is required, but no prior programming experience is expected.<\/p><\/div>Prerequisite: GIS\u00a0510<\/span><\/p><\/div><\/div>Typically offered in Fall and Spring<\/em><\/p><\/div><\/div><\/div>GIS\u00a0550<\/strong><\/span>\u00a0\u00a0Geospatial Data Structures and Web Services<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>This course examines the spatial database models and structures used in geospatial information science and technology as well as the design and implementation of web and related mobile computing geospatial tools and systems. Students develop, evaluate, and deploy multiple spatial data models and web services that include connections to external data sources and systems.<\/p><\/div>Prerequisite: GIS\u00a0540<\/span><\/p><\/div><\/div>Typically offered in Fall and Spring<\/em><\/p><\/div><\/div><\/div>GIS\u00a0582\/MEA\u00a0582<\/span><\/strong><\/span>\u00a0\u00a0Geospatial Modeling<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>The course provides foundations in methods for GIS-based surface analysis and modeling. The topics include proximity analysis with cost surfaces and least cost paths, multivariate spatial interpolation and 3D surface visualization. Special focus is on terrain modeling, geomorphometry, solar irradiation, visibility, and watershed analysis. Students are also introduced to the basic concepts of landscape process modeling with GIS and to the principles of open source GIS. Introductory level knowledge of GIS or surveying\/ geomatics principles is required.<\/p><\/div><\/div><\/div>Typically offered in Fall and Spring<\/em><\/p><\/div><\/div><\/div>GIS\u00a0584\/MEA\u00a0584<\/span><\/strong><\/span>\u00a0\u00a0Mapping and Analysis Using UAS<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>The course provides an overview of UAS mapping technology and its rules and regulations. The principles of UAS data collection are explained along with optional hands-on practice with in flight planning and execution. The main focus is on processing imagery collected from UAS using structure from motion techniques and deriving orthophoto mosaics and ultra-high resolution digital elevation models of land surface, vegetation and structures. More advanced topics include multi-temporal 3D data analysis, fusion with lidar data and 3D visualization.<\/p><\/div>Prerequisite: GIS\u00a0510<\/span> or GIS\/MEA\u00a0582<\/span> or Permission of Instructor<\/p><\/div><\/div>Typically offered in Fall only<\/em><\/p><\/div><\/div><\/div>GIS\u00a0590<\/strong><\/span>\u00a0\u00a0
Typically offered in Fall and Spring<\/em><\/p><\/div><\/div><\/div>GIS\u00a0521<\/strong><\/span>\u00a0\u00a0Surface Water Hydrology with GIS<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>The application of geographic information systems (GIS) to surface water modeling including stream and watershed delineations, regulatory wetlands jurisdiction determinations, and flood mapping. In addition students will develop spatial computation methods to support hydrological analysis in land use planning, landscape management, and engineering assessments.<\/p><\/div>Prerequisite: GIS\u00a0510<\/span> or PA\u00a0541<\/span> or SSC\u00a0440<\/span><\/p><\/div><\/div>Typically offered in Fall and Spring<\/em><\/p><\/div><\/div><\/div>GIS\u00a0530<\/strong><\/span>\u00a0\u00a0Spatial Data Foundations<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>This course focuses on geospatial information systems from a mathematical and information science perspective. We discuss theoretical frameworks for conceptualizing geographic data, including levels of measurement, data control, and the vector data and raster data paradigms. Then we discuss the geometric underpinnings of geospatial systems: representing data with geographic elements, spatial referencing systems, and projection. Next, we explore map-related topology and computational geometry concepts. Finally, we survey the algorithms for core spatial manipulations, such as interpolation and polygon operations.<\/p><\/div>Prerequisite: GIS\u00a0510<\/span> or PA\u00a0541<\/span> or SSC\u00a0440<\/span><\/p><\/div><\/div>Typically offered in Fall and Spring<\/em><\/p><\/div><\/div><\/div>GIS\u00a0535<\/strong><\/span>\u00a0\u00a0Web and Mobile GIS Protocols<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>This course examines the design, development and deployment of web and mobile geospatial applications using internet and web-based protocols. Throughout the course, students will develop and deploy web and mobile GIS maps and applications relevant to their career using on-premises hosted infrastructure. Course participants will be required to complete assignments with data relevant to their interests. Additionally, students will search for and examine scientific and popular literature to understand how the course concepts are being employed and to foster ideas and discussion.<\/p><\/div>Prerequisite: GIS\u00a0510<\/span><\/p><\/div><\/div>Typically offered in Fall only<\/em><\/p><\/div><\/div><\/div>GIS\u00a0540<\/strong><\/span>\u00a0\u00a0Geospatial Programming<\/strong><\/span>\u00a0\u00a0(4 credit hours)<\/span>\u00a0\u00a0<\/div>This course equips students with essential skills for geospatial programming. Topics include computer programming to call geospatial processing tools, batch process, performing file reading\/writing, and generating displays. To support these tasks, students learn basic programming concepts, such as pseudocode, flow-control, code reuse, and debugging. In the final project, students streamline GIS workflows and customize GIS user interfaces. Familiarity with GIS software is required, but no prior programming experience is expected.<\/p><\/div>Prerequisite: GIS\u00a0510<\/span><\/p><\/div><\/div>Typically offered in Fall and Spring<\/em><\/p><\/div><\/div><\/div>GIS\u00a0550<\/strong><\/span>\u00a0\u00a0Geospatial Data Structures and Web Services<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>This course examines the spatial database models and structures used in geospatial information science and technology as well as the design and implementation of web and related mobile computing geospatial tools and systems. Students develop, evaluate, and deploy multiple spatial data models and web services that include connections to external data sources and systems.<\/p><\/div>Prerequisite: GIS\u00a0540<\/span><\/p><\/div><\/div>Typically offered in Fall and Spring<\/em><\/p><\/div><\/div><\/div>GIS\u00a0582\/MEA\u00a0582<\/span><\/strong><\/span>\u00a0\u00a0Geospatial Modeling<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>The course provides foundations in methods for GIS-based surface analysis and modeling. The topics include proximity analysis with cost surfaces and least cost paths, multivariate spatial interpolation and 3D surface visualization. Special focus is on terrain modeling, geomorphometry, solar irradiation, visibility, and watershed analysis. Students are also introduced to the basic concepts of landscape process modeling with GIS and to the principles of open source GIS. Introductory level knowledge of GIS or surveying\/ geomatics principles is required.<\/p><\/div><\/div><\/div>Typically offered in Fall and Spring<\/em><\/p><\/div><\/div><\/div>GIS\u00a0584\/MEA\u00a0584<\/span><\/strong><\/span>\u00a0\u00a0Mapping and Analysis Using UAS<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>The course provides an overview of UAS mapping technology and its rules and regulations. The principles of UAS data collection are explained along with optional hands-on practice with in flight planning and execution. The main focus is on processing imagery collected from UAS using structure from motion techniques and deriving orthophoto mosaics and ultra-high resolution digital elevation models of land surface, vegetation and structures. More advanced topics include multi-temporal 3D data analysis, fusion with lidar data and 3D visualization.<\/p><\/div>Prerequisite: GIS\u00a0510<\/span> or GIS\/MEA\u00a0582<\/span> or Permission of Instructor<\/p><\/div><\/div>Typically offered in Fall only<\/em><\/p><\/div><\/div><\/div>GIS\u00a0590<\/strong><\/span>\u00a0\u00a0
The application of geographic information systems (GIS) to surface water modeling including stream and watershed delineations, regulatory wetlands jurisdiction determinations, and flood mapping. In addition students will develop spatial computation methods to support hydrological analysis in land use planning, landscape management, and engineering assessments.<\/p><\/div>
Prerequisite: GIS\u00a0510<\/span> or PA\u00a0541<\/span> or SSC\u00a0440<\/span><\/p><\/div><\/div>Typically offered in Fall and Spring<\/em><\/p><\/div><\/div><\/div>GIS\u00a0530<\/strong><\/span>\u00a0\u00a0Spatial Data Foundations<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>This course focuses on geospatial information systems from a mathematical and information science perspective. We discuss theoretical frameworks for conceptualizing geographic data, including levels of measurement, data control, and the vector data and raster data paradigms. Then we discuss the geometric underpinnings of geospatial systems: representing data with geographic elements, spatial referencing systems, and projection. Next, we explore map-related topology and computational geometry concepts. Finally, we survey the algorithms for core spatial manipulations, such as interpolation and polygon operations.<\/p><\/div>Prerequisite: GIS\u00a0510<\/span> or PA\u00a0541<\/span> or SSC\u00a0440<\/span><\/p><\/div><\/div>Typically offered in Fall and Spring<\/em><\/p><\/div><\/div><\/div>GIS\u00a0535<\/strong><\/span>\u00a0\u00a0Web and Mobile GIS Protocols<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>This course examines the design, development and deployment of web and mobile geospatial applications using internet and web-based protocols. Throughout the course, students will develop and deploy web and mobile GIS maps and applications relevant to their career using on-premises hosted infrastructure. Course participants will be required to complete assignments with data relevant to their interests. Additionally, students will search for and examine scientific and popular literature to understand how the course concepts are being employed and to foster ideas and discussion.<\/p><\/div>Prerequisite: GIS\u00a0510<\/span><\/p><\/div><\/div>Typically offered in Fall only<\/em><\/p><\/div><\/div><\/div>GIS\u00a0540<\/strong><\/span>\u00a0\u00a0Geospatial Programming<\/strong><\/span>\u00a0\u00a0(4 credit hours)<\/span>\u00a0\u00a0<\/div>This course equips students with essential skills for geospatial programming. Topics include computer programming to call geospatial processing tools, batch process, performing file reading\/writing, and generating displays. To support these tasks, students learn basic programming concepts, such as pseudocode, flow-control, code reuse, and debugging. In the final project, students streamline GIS workflows and customize GIS user interfaces. Familiarity with GIS software is required, but no prior programming experience is expected.<\/p><\/div>Prerequisite: GIS\u00a0510<\/span><\/p><\/div><\/div>Typically offered in Fall and Spring<\/em><\/p><\/div><\/div><\/div>GIS\u00a0550<\/strong><\/span>\u00a0\u00a0Geospatial Data Structures and Web Services<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>This course examines the spatial database models and structures used in geospatial information science and technology as well as the design and implementation of web and related mobile computing geospatial tools and systems. Students develop, evaluate, and deploy multiple spatial data models and web services that include connections to external data sources and systems.<\/p><\/div>Prerequisite: GIS\u00a0540<\/span><\/p><\/div><\/div>Typically offered in Fall and Spring<\/em><\/p><\/div><\/div><\/div>GIS\u00a0582\/MEA\u00a0582<\/span><\/strong><\/span>\u00a0\u00a0Geospatial Modeling<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>The course provides foundations in methods for GIS-based surface analysis and modeling. The topics include proximity analysis with cost surfaces and least cost paths, multivariate spatial interpolation and 3D surface visualization. Special focus is on terrain modeling, geomorphometry, solar irradiation, visibility, and watershed analysis. Students are also introduced to the basic concepts of landscape process modeling with GIS and to the principles of open source GIS. Introductory level knowledge of GIS or surveying\/ geomatics principles is required.<\/p><\/div><\/div><\/div>Typically offered in Fall and Spring<\/em><\/p><\/div><\/div><\/div>GIS\u00a0584\/MEA\u00a0584<\/span><\/strong><\/span>\u00a0\u00a0Mapping and Analysis Using UAS<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>The course provides an overview of UAS mapping technology and its rules and regulations. The principles of UAS data collection are explained along with optional hands-on practice with in flight planning and execution. The main focus is on processing imagery collected from UAS using structure from motion techniques and deriving orthophoto mosaics and ultra-high resolution digital elevation models of land surface, vegetation and structures. More advanced topics include multi-temporal 3D data analysis, fusion with lidar data and 3D visualization.<\/p><\/div>Prerequisite: GIS\u00a0510<\/span> or GIS\/MEA\u00a0582<\/span> or Permission of Instructor<\/p><\/div><\/div>Typically offered in Fall only<\/em><\/p><\/div><\/div><\/div>GIS\u00a0590<\/strong><\/span>\u00a0\u00a0
Typically offered in Fall and Spring<\/em><\/p><\/div><\/div><\/div>GIS\u00a0530<\/strong><\/span>\u00a0\u00a0Spatial Data Foundations<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>This course focuses on geospatial information systems from a mathematical and information science perspective. We discuss theoretical frameworks for conceptualizing geographic data, including levels of measurement, data control, and the vector data and raster data paradigms. Then we discuss the geometric underpinnings of geospatial systems: representing data with geographic elements, spatial referencing systems, and projection. Next, we explore map-related topology and computational geometry concepts. Finally, we survey the algorithms for core spatial manipulations, such as interpolation and polygon operations.<\/p><\/div>Prerequisite: GIS\u00a0510<\/span> or PA\u00a0541<\/span> or SSC\u00a0440<\/span><\/p><\/div><\/div>Typically offered in Fall and Spring<\/em><\/p><\/div><\/div><\/div>GIS\u00a0535<\/strong><\/span>\u00a0\u00a0Web and Mobile GIS Protocols<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>This course examines the design, development and deployment of web and mobile geospatial applications using internet and web-based protocols. Throughout the course, students will develop and deploy web and mobile GIS maps and applications relevant to their career using on-premises hosted infrastructure. Course participants will be required to complete assignments with data relevant to their interests. Additionally, students will search for and examine scientific and popular literature to understand how the course concepts are being employed and to foster ideas and discussion.<\/p><\/div>Prerequisite: GIS\u00a0510<\/span><\/p><\/div><\/div>Typically offered in Fall only<\/em><\/p><\/div><\/div><\/div>GIS\u00a0540<\/strong><\/span>\u00a0\u00a0Geospatial Programming<\/strong><\/span>\u00a0\u00a0(4 credit hours)<\/span>\u00a0\u00a0<\/div>This course equips students with essential skills for geospatial programming. Topics include computer programming to call geospatial processing tools, batch process, performing file reading\/writing, and generating displays. To support these tasks, students learn basic programming concepts, such as pseudocode, flow-control, code reuse, and debugging. In the final project, students streamline GIS workflows and customize GIS user interfaces. Familiarity with GIS software is required, but no prior programming experience is expected.<\/p><\/div>Prerequisite: GIS\u00a0510<\/span><\/p><\/div><\/div>Typically offered in Fall and Spring<\/em><\/p><\/div><\/div><\/div>GIS\u00a0550<\/strong><\/span>\u00a0\u00a0Geospatial Data Structures and Web Services<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>This course examines the spatial database models and structures used in geospatial information science and technology as well as the design and implementation of web and related mobile computing geospatial tools and systems. Students develop, evaluate, and deploy multiple spatial data models and web services that include connections to external data sources and systems.<\/p><\/div>Prerequisite: GIS\u00a0540<\/span><\/p><\/div><\/div>Typically offered in Fall and Spring<\/em><\/p><\/div><\/div><\/div>GIS\u00a0582\/MEA\u00a0582<\/span><\/strong><\/span>\u00a0\u00a0Geospatial Modeling<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>The course provides foundations in methods for GIS-based surface analysis and modeling. The topics include proximity analysis with cost surfaces and least cost paths, multivariate spatial interpolation and 3D surface visualization. Special focus is on terrain modeling, geomorphometry, solar irradiation, visibility, and watershed analysis. Students are also introduced to the basic concepts of landscape process modeling with GIS and to the principles of open source GIS. Introductory level knowledge of GIS or surveying\/ geomatics principles is required.<\/p><\/div><\/div><\/div>Typically offered in Fall and Spring<\/em><\/p><\/div><\/div><\/div>GIS\u00a0584\/MEA\u00a0584<\/span><\/strong><\/span>\u00a0\u00a0Mapping and Analysis Using UAS<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>The course provides an overview of UAS mapping technology and its rules and regulations. The principles of UAS data collection are explained along with optional hands-on practice with in flight planning and execution. The main focus is on processing imagery collected from UAS using structure from motion techniques and deriving orthophoto mosaics and ultra-high resolution digital elevation models of land surface, vegetation and structures. More advanced topics include multi-temporal 3D data analysis, fusion with lidar data and 3D visualization.<\/p><\/div>Prerequisite: GIS\u00a0510<\/span> or GIS\/MEA\u00a0582<\/span> or Permission of Instructor<\/p><\/div><\/div>Typically offered in Fall only<\/em><\/p><\/div><\/div><\/div>GIS\u00a0590<\/strong><\/span>\u00a0\u00a0
This course focuses on geospatial information systems from a mathematical and information science perspective. We discuss theoretical frameworks for conceptualizing geographic data, including levels of measurement, data control, and the vector data and raster data paradigms. Then we discuss the geometric underpinnings of geospatial systems: representing data with geographic elements, spatial referencing systems, and projection. Next, we explore map-related topology and computational geometry concepts. Finally, we survey the algorithms for core spatial manipulations, such as interpolation and polygon operations.<\/p><\/div>
Prerequisite: GIS\u00a0510<\/span> or PA\u00a0541<\/span> or SSC\u00a0440<\/span><\/p><\/div><\/div>Typically offered in Fall and Spring<\/em><\/p><\/div><\/div><\/div>GIS\u00a0535<\/strong><\/span>\u00a0\u00a0Web and Mobile GIS Protocols<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>This course examines the design, development and deployment of web and mobile geospatial applications using internet and web-based protocols. Throughout the course, students will develop and deploy web and mobile GIS maps and applications relevant to their career using on-premises hosted infrastructure. Course participants will be required to complete assignments with data relevant to their interests. Additionally, students will search for and examine scientific and popular literature to understand how the course concepts are being employed and to foster ideas and discussion.<\/p><\/div>Prerequisite: GIS\u00a0510<\/span><\/p><\/div><\/div>Typically offered in Fall only<\/em><\/p><\/div><\/div><\/div>GIS\u00a0540<\/strong><\/span>\u00a0\u00a0Geospatial Programming<\/strong><\/span>\u00a0\u00a0(4 credit hours)<\/span>\u00a0\u00a0<\/div>This course equips students with essential skills for geospatial programming. Topics include computer programming to call geospatial processing tools, batch process, performing file reading\/writing, and generating displays. To support these tasks, students learn basic programming concepts, such as pseudocode, flow-control, code reuse, and debugging. In the final project, students streamline GIS workflows and customize GIS user interfaces. Familiarity with GIS software is required, but no prior programming experience is expected.<\/p><\/div>Prerequisite: GIS\u00a0510<\/span><\/p><\/div><\/div>Typically offered in Fall and Spring<\/em><\/p><\/div><\/div><\/div>GIS\u00a0550<\/strong><\/span>\u00a0\u00a0Geospatial Data Structures and Web Services<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>This course examines the spatial database models and structures used in geospatial information science and technology as well as the design and implementation of web and related mobile computing geospatial tools and systems. Students develop, evaluate, and deploy multiple spatial data models and web services that include connections to external data sources and systems.<\/p><\/div>Prerequisite: GIS\u00a0540<\/span><\/p><\/div><\/div>Typically offered in Fall and Spring<\/em><\/p><\/div><\/div><\/div>GIS\u00a0582\/MEA\u00a0582<\/span><\/strong><\/span>\u00a0\u00a0Geospatial Modeling<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>The course provides foundations in methods for GIS-based surface analysis and modeling. The topics include proximity analysis with cost surfaces and least cost paths, multivariate spatial interpolation and 3D surface visualization. Special focus is on terrain modeling, geomorphometry, solar irradiation, visibility, and watershed analysis. Students are also introduced to the basic concepts of landscape process modeling with GIS and to the principles of open source GIS. Introductory level knowledge of GIS or surveying\/ geomatics principles is required.<\/p><\/div><\/div><\/div>Typically offered in Fall and Spring<\/em><\/p><\/div><\/div><\/div>GIS\u00a0584\/MEA\u00a0584<\/span><\/strong><\/span>\u00a0\u00a0Mapping and Analysis Using UAS<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>The course provides an overview of UAS mapping technology and its rules and regulations. The principles of UAS data collection are explained along with optional hands-on practice with in flight planning and execution. The main focus is on processing imagery collected from UAS using structure from motion techniques and deriving orthophoto mosaics and ultra-high resolution digital elevation models of land surface, vegetation and structures. More advanced topics include multi-temporal 3D data analysis, fusion with lidar data and 3D visualization.<\/p><\/div>Prerequisite: GIS\u00a0510<\/span> or GIS\/MEA\u00a0582<\/span> or Permission of Instructor<\/p><\/div><\/div>Typically offered in Fall only<\/em><\/p><\/div><\/div><\/div>GIS\u00a0590<\/strong><\/span>\u00a0\u00a0
Typically offered in Fall and Spring<\/em><\/p><\/div><\/div><\/div>GIS\u00a0535<\/strong><\/span>\u00a0\u00a0Web and Mobile GIS Protocols<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>This course examines the design, development and deployment of web and mobile geospatial applications using internet and web-based protocols. Throughout the course, students will develop and deploy web and mobile GIS maps and applications relevant to their career using on-premises hosted infrastructure. Course participants will be required to complete assignments with data relevant to their interests. Additionally, students will search for and examine scientific and popular literature to understand how the course concepts are being employed and to foster ideas and discussion.<\/p><\/div>Prerequisite: GIS\u00a0510<\/span><\/p><\/div><\/div>Typically offered in Fall only<\/em><\/p><\/div><\/div><\/div>GIS\u00a0540<\/strong><\/span>\u00a0\u00a0Geospatial Programming<\/strong><\/span>\u00a0\u00a0(4 credit hours)<\/span>\u00a0\u00a0<\/div>This course equips students with essential skills for geospatial programming. Topics include computer programming to call geospatial processing tools, batch process, performing file reading\/writing, and generating displays. To support these tasks, students learn basic programming concepts, such as pseudocode, flow-control, code reuse, and debugging. In the final project, students streamline GIS workflows and customize GIS user interfaces. Familiarity with GIS software is required, but no prior programming experience is expected.<\/p><\/div>Prerequisite: GIS\u00a0510<\/span><\/p><\/div><\/div>Typically offered in Fall and Spring<\/em><\/p><\/div><\/div><\/div>GIS\u00a0550<\/strong><\/span>\u00a0\u00a0Geospatial Data Structures and Web Services<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>This course examines the spatial database models and structures used in geospatial information science and technology as well as the design and implementation of web and related mobile computing geospatial tools and systems. Students develop, evaluate, and deploy multiple spatial data models and web services that include connections to external data sources and systems.<\/p><\/div>Prerequisite: GIS\u00a0540<\/span><\/p><\/div><\/div>Typically offered in Fall and Spring<\/em><\/p><\/div><\/div><\/div>GIS\u00a0582\/MEA\u00a0582<\/span><\/strong><\/span>\u00a0\u00a0Geospatial Modeling<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>The course provides foundations in methods for GIS-based surface analysis and modeling. The topics include proximity analysis with cost surfaces and least cost paths, multivariate spatial interpolation and 3D surface visualization. Special focus is on terrain modeling, geomorphometry, solar irradiation, visibility, and watershed analysis. Students are also introduced to the basic concepts of landscape process modeling with GIS and to the principles of open source GIS. Introductory level knowledge of GIS or surveying\/ geomatics principles is required.<\/p><\/div><\/div><\/div>Typically offered in Fall and Spring<\/em><\/p><\/div><\/div><\/div>GIS\u00a0584\/MEA\u00a0584<\/span><\/strong><\/span>\u00a0\u00a0Mapping and Analysis Using UAS<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>The course provides an overview of UAS mapping technology and its rules and regulations. The principles of UAS data collection are explained along with optional hands-on practice with in flight planning and execution. The main focus is on processing imagery collected from UAS using structure from motion techniques and deriving orthophoto mosaics and ultra-high resolution digital elevation models of land surface, vegetation and structures. More advanced topics include multi-temporal 3D data analysis, fusion with lidar data and 3D visualization.<\/p><\/div>Prerequisite: GIS\u00a0510<\/span> or GIS\/MEA\u00a0582<\/span> or Permission of Instructor<\/p><\/div><\/div>Typically offered in Fall only<\/em><\/p><\/div><\/div><\/div>GIS\u00a0590<\/strong><\/span>\u00a0\u00a0
This course examines the design, development and deployment of web and mobile geospatial applications using internet and web-based protocols. Throughout the course, students will develop and deploy web and mobile GIS maps and applications relevant to their career using on-premises hosted infrastructure. Course participants will be required to complete assignments with data relevant to their interests. Additionally, students will search for and examine scientific and popular literature to understand how the course concepts are being employed and to foster ideas and discussion.<\/p><\/div>
Prerequisite: GIS\u00a0510<\/span><\/p><\/div><\/div>Typically offered in Fall only<\/em><\/p><\/div><\/div><\/div>GIS\u00a0540<\/strong><\/span>\u00a0\u00a0Geospatial Programming<\/strong><\/span>\u00a0\u00a0(4 credit hours)<\/span>\u00a0\u00a0<\/div>This course equips students with essential skills for geospatial programming. Topics include computer programming to call geospatial processing tools, batch process, performing file reading\/writing, and generating displays. To support these tasks, students learn basic programming concepts, such as pseudocode, flow-control, code reuse, and debugging. In the final project, students streamline GIS workflows and customize GIS user interfaces. Familiarity with GIS software is required, but no prior programming experience is expected.<\/p><\/div>Prerequisite: GIS\u00a0510<\/span><\/p><\/div><\/div>Typically offered in Fall and Spring<\/em><\/p><\/div><\/div><\/div>GIS\u00a0550<\/strong><\/span>\u00a0\u00a0Geospatial Data Structures and Web Services<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>This course examines the spatial database models and structures used in geospatial information science and technology as well as the design and implementation of web and related mobile computing geospatial tools and systems. Students develop, evaluate, and deploy multiple spatial data models and web services that include connections to external data sources and systems.<\/p><\/div>Prerequisite: GIS\u00a0540<\/span><\/p><\/div><\/div>Typically offered in Fall and Spring<\/em><\/p><\/div><\/div><\/div>GIS\u00a0582\/MEA\u00a0582<\/span><\/strong><\/span>\u00a0\u00a0Geospatial Modeling<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>The course provides foundations in methods for GIS-based surface analysis and modeling. The topics include proximity analysis with cost surfaces and least cost paths, multivariate spatial interpolation and 3D surface visualization. Special focus is on terrain modeling, geomorphometry, solar irradiation, visibility, and watershed analysis. Students are also introduced to the basic concepts of landscape process modeling with GIS and to the principles of open source GIS. Introductory level knowledge of GIS or surveying\/ geomatics principles is required.<\/p><\/div><\/div><\/div>Typically offered in Fall and Spring<\/em><\/p><\/div><\/div><\/div>GIS\u00a0584\/MEA\u00a0584<\/span><\/strong><\/span>\u00a0\u00a0Mapping and Analysis Using UAS<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>The course provides an overview of UAS mapping technology and its rules and regulations. The principles of UAS data collection are explained along with optional hands-on practice with in flight planning and execution. The main focus is on processing imagery collected from UAS using structure from motion techniques and deriving orthophoto mosaics and ultra-high resolution digital elevation models of land surface, vegetation and structures. More advanced topics include multi-temporal 3D data analysis, fusion with lidar data and 3D visualization.<\/p><\/div>Prerequisite: GIS\u00a0510<\/span> or GIS\/MEA\u00a0582<\/span> or Permission of Instructor<\/p><\/div><\/div>Typically offered in Fall only<\/em><\/p><\/div><\/div><\/div>GIS\u00a0590<\/strong><\/span>\u00a0\u00a0
Typically offered in Fall only<\/em><\/p><\/div><\/div><\/div>GIS\u00a0540<\/strong><\/span>\u00a0\u00a0Geospatial Programming<\/strong><\/span>\u00a0\u00a0(4 credit hours)<\/span>\u00a0\u00a0<\/div>This course equips students with essential skills for geospatial programming. Topics include computer programming to call geospatial processing tools, batch process, performing file reading\/writing, and generating displays. To support these tasks, students learn basic programming concepts, such as pseudocode, flow-control, code reuse, and debugging. In the final project, students streamline GIS workflows and customize GIS user interfaces. Familiarity with GIS software is required, but no prior programming experience is expected.<\/p><\/div>Prerequisite: GIS\u00a0510<\/span><\/p><\/div><\/div>Typically offered in Fall and Spring<\/em><\/p><\/div><\/div><\/div>GIS\u00a0550<\/strong><\/span>\u00a0\u00a0Geospatial Data Structures and Web Services<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>This course examines the spatial database models and structures used in geospatial information science and technology as well as the design and implementation of web and related mobile computing geospatial tools and systems. Students develop, evaluate, and deploy multiple spatial data models and web services that include connections to external data sources and systems.<\/p><\/div>Prerequisite: GIS\u00a0540<\/span><\/p><\/div><\/div>Typically offered in Fall and Spring<\/em><\/p><\/div><\/div><\/div>GIS\u00a0582\/MEA\u00a0582<\/span><\/strong><\/span>\u00a0\u00a0Geospatial Modeling<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>The course provides foundations in methods for GIS-based surface analysis and modeling. The topics include proximity analysis with cost surfaces and least cost paths, multivariate spatial interpolation and 3D surface visualization. Special focus is on terrain modeling, geomorphometry, solar irradiation, visibility, and watershed analysis. Students are also introduced to the basic concepts of landscape process modeling with GIS and to the principles of open source GIS. Introductory level knowledge of GIS or surveying\/ geomatics principles is required.<\/p><\/div><\/div><\/div>Typically offered in Fall and Spring<\/em><\/p><\/div><\/div><\/div>GIS\u00a0584\/MEA\u00a0584<\/span><\/strong><\/span>\u00a0\u00a0Mapping and Analysis Using UAS<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>The course provides an overview of UAS mapping technology and its rules and regulations. The principles of UAS data collection are explained along with optional hands-on practice with in flight planning and execution. The main focus is on processing imagery collected from UAS using structure from motion techniques and deriving orthophoto mosaics and ultra-high resolution digital elevation models of land surface, vegetation and structures. More advanced topics include multi-temporal 3D data analysis, fusion with lidar data and 3D visualization.<\/p><\/div>Prerequisite: GIS\u00a0510<\/span> or GIS\/MEA\u00a0582<\/span> or Permission of Instructor<\/p><\/div><\/div>Typically offered in Fall only<\/em><\/p><\/div><\/div><\/div>GIS\u00a0590<\/strong><\/span>\u00a0\u00a0
This course equips students with essential skills for geospatial programming. Topics include computer programming to call geospatial processing tools, batch process, performing file reading\/writing, and generating displays. To support these tasks, students learn basic programming concepts, such as pseudocode, flow-control, code reuse, and debugging. In the final project, students streamline GIS workflows and customize GIS user interfaces. Familiarity with GIS software is required, but no prior programming experience is expected.<\/p><\/div>
Prerequisite: GIS\u00a0510<\/span><\/p><\/div><\/div>Typically offered in Fall and Spring<\/em><\/p><\/div><\/div><\/div>GIS\u00a0550<\/strong><\/span>\u00a0\u00a0Geospatial Data Structures and Web Services<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>This course examines the spatial database models and structures used in geospatial information science and technology as well as the design and implementation of web and related mobile computing geospatial tools and systems. Students develop, evaluate, and deploy multiple spatial data models and web services that include connections to external data sources and systems.<\/p><\/div>Prerequisite: GIS\u00a0540<\/span><\/p><\/div><\/div>Typically offered in Fall and Spring<\/em><\/p><\/div><\/div><\/div>GIS\u00a0582\/MEA\u00a0582<\/span><\/strong><\/span>\u00a0\u00a0Geospatial Modeling<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>The course provides foundations in methods for GIS-based surface analysis and modeling. The topics include proximity analysis with cost surfaces and least cost paths, multivariate spatial interpolation and 3D surface visualization. Special focus is on terrain modeling, geomorphometry, solar irradiation, visibility, and watershed analysis. Students are also introduced to the basic concepts of landscape process modeling with GIS and to the principles of open source GIS. Introductory level knowledge of GIS or surveying\/ geomatics principles is required.<\/p><\/div><\/div><\/div>Typically offered in Fall and Spring<\/em><\/p><\/div><\/div><\/div>GIS\u00a0584\/MEA\u00a0584<\/span><\/strong><\/span>\u00a0\u00a0Mapping and Analysis Using UAS<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>The course provides an overview of UAS mapping technology and its rules and regulations. The principles of UAS data collection are explained along with optional hands-on practice with in flight planning and execution. The main focus is on processing imagery collected from UAS using structure from motion techniques and deriving orthophoto mosaics and ultra-high resolution digital elevation models of land surface, vegetation and structures. More advanced topics include multi-temporal 3D data analysis, fusion with lidar data and 3D visualization.<\/p><\/div>Prerequisite: GIS\u00a0510<\/span> or GIS\/MEA\u00a0582<\/span> or Permission of Instructor<\/p><\/div><\/div>Typically offered in Fall only<\/em><\/p><\/div><\/div><\/div>GIS\u00a0590<\/strong><\/span>\u00a0\u00a0
Typically offered in Fall and Spring<\/em><\/p><\/div><\/div><\/div>GIS\u00a0550<\/strong><\/span>\u00a0\u00a0Geospatial Data Structures and Web Services<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>This course examines the spatial database models and structures used in geospatial information science and technology as well as the design and implementation of web and related mobile computing geospatial tools and systems. Students develop, evaluate, and deploy multiple spatial data models and web services that include connections to external data sources and systems.<\/p><\/div>Prerequisite: GIS\u00a0540<\/span><\/p><\/div><\/div>Typically offered in Fall and Spring<\/em><\/p><\/div><\/div><\/div>GIS\u00a0582\/MEA\u00a0582<\/span><\/strong><\/span>\u00a0\u00a0Geospatial Modeling<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>The course provides foundations in methods for GIS-based surface analysis and modeling. The topics include proximity analysis with cost surfaces and least cost paths, multivariate spatial interpolation and 3D surface visualization. Special focus is on terrain modeling, geomorphometry, solar irradiation, visibility, and watershed analysis. Students are also introduced to the basic concepts of landscape process modeling with GIS and to the principles of open source GIS. Introductory level knowledge of GIS or surveying\/ geomatics principles is required.<\/p><\/div><\/div><\/div>Typically offered in Fall and Spring<\/em><\/p><\/div><\/div><\/div>GIS\u00a0584\/MEA\u00a0584<\/span><\/strong><\/span>\u00a0\u00a0Mapping and Analysis Using UAS<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>The course provides an overview of UAS mapping technology and its rules and regulations. The principles of UAS data collection are explained along with optional hands-on practice with in flight planning and execution. The main focus is on processing imagery collected from UAS using structure from motion techniques and deriving orthophoto mosaics and ultra-high resolution digital elevation models of land surface, vegetation and structures. More advanced topics include multi-temporal 3D data analysis, fusion with lidar data and 3D visualization.<\/p><\/div>Prerequisite: GIS\u00a0510<\/span> or GIS\/MEA\u00a0582<\/span> or Permission of Instructor<\/p><\/div><\/div>Typically offered in Fall only<\/em><\/p><\/div><\/div><\/div>GIS\u00a0590<\/strong><\/span>\u00a0\u00a0
This course examines the spatial database models and structures used in geospatial information science and technology as well as the design and implementation of web and related mobile computing geospatial tools and systems. Students develop, evaluate, and deploy multiple spatial data models and web services that include connections to external data sources and systems.<\/p><\/div>
Prerequisite: GIS\u00a0540<\/span><\/p><\/div><\/div>Typically offered in Fall and Spring<\/em><\/p><\/div><\/div><\/div>GIS\u00a0582\/MEA\u00a0582<\/span><\/strong><\/span>\u00a0\u00a0Geospatial Modeling<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>The course provides foundations in methods for GIS-based surface analysis and modeling. The topics include proximity analysis with cost surfaces and least cost paths, multivariate spatial interpolation and 3D surface visualization. Special focus is on terrain modeling, geomorphometry, solar irradiation, visibility, and watershed analysis. Students are also introduced to the basic concepts of landscape process modeling with GIS and to the principles of open source GIS. Introductory level knowledge of GIS or surveying\/ geomatics principles is required.<\/p><\/div><\/div><\/div>Typically offered in Fall and Spring<\/em><\/p><\/div><\/div><\/div>GIS\u00a0584\/MEA\u00a0584<\/span><\/strong><\/span>\u00a0\u00a0Mapping and Analysis Using UAS<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>The course provides an overview of UAS mapping technology and its rules and regulations. The principles of UAS data collection are explained along with optional hands-on practice with in flight planning and execution. The main focus is on processing imagery collected from UAS using structure from motion techniques and deriving orthophoto mosaics and ultra-high resolution digital elevation models of land surface, vegetation and structures. More advanced topics include multi-temporal 3D data analysis, fusion with lidar data and 3D visualization.<\/p><\/div>Prerequisite: GIS\u00a0510<\/span> or GIS\/MEA\u00a0582<\/span> or Permission of Instructor<\/p><\/div><\/div>Typically offered in Fall only<\/em><\/p><\/div><\/div><\/div>GIS\u00a0590<\/strong><\/span>\u00a0\u00a0
Typically offered in Fall and Spring<\/em><\/p><\/div><\/div><\/div>GIS\u00a0582\/MEA\u00a0582<\/span><\/strong><\/span>\u00a0\u00a0Geospatial Modeling<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>The course provides foundations in methods for GIS-based surface analysis and modeling. The topics include proximity analysis with cost surfaces and least cost paths, multivariate spatial interpolation and 3D surface visualization. Special focus is on terrain modeling, geomorphometry, solar irradiation, visibility, and watershed analysis. Students are also introduced to the basic concepts of landscape process modeling with GIS and to the principles of open source GIS. Introductory level knowledge of GIS or surveying\/ geomatics principles is required.<\/p><\/div><\/div><\/div>Typically offered in Fall and Spring<\/em><\/p><\/div><\/div><\/div>GIS\u00a0584\/MEA\u00a0584<\/span><\/strong><\/span>\u00a0\u00a0Mapping and Analysis Using UAS<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>The course provides an overview of UAS mapping technology and its rules and regulations. The principles of UAS data collection are explained along with optional hands-on practice with in flight planning and execution. The main focus is on processing imagery collected from UAS using structure from motion techniques and deriving orthophoto mosaics and ultra-high resolution digital elevation models of land surface, vegetation and structures. More advanced topics include multi-temporal 3D data analysis, fusion with lidar data and 3D visualization.<\/p><\/div>Prerequisite: GIS\u00a0510<\/span> or GIS\/MEA\u00a0582<\/span> or Permission of Instructor<\/p><\/div><\/div>Typically offered in Fall only<\/em><\/p><\/div><\/div><\/div>GIS\u00a0590<\/strong><\/span>\u00a0\u00a0
The course provides foundations in methods for GIS-based surface analysis and modeling. The topics include proximity analysis with cost surfaces and least cost paths, multivariate spatial interpolation and 3D surface visualization. Special focus is on terrain modeling, geomorphometry, solar irradiation, visibility, and watershed analysis. Students are also introduced to the basic concepts of landscape process modeling with GIS and to the principles of open source GIS. Introductory level knowledge of GIS or surveying\/ geomatics principles is required.<\/p><\/div>
Typically offered in Fall and Spring<\/em><\/p><\/div><\/div><\/div>GIS\u00a0584\/MEA\u00a0584<\/span><\/strong><\/span>\u00a0\u00a0Mapping and Analysis Using UAS<\/strong><\/span>\u00a0\u00a0(3 credit hours)<\/span>\u00a0\u00a0<\/div>The course provides an overview of UAS mapping technology and its rules and regulations. The principles of UAS data collection are explained along with optional hands-on practice with in flight planning and execution. The main focus is on processing imagery collected from UAS using structure from motion techniques and deriving orthophoto mosaics and ultra-high resolution digital elevation models of land surface, vegetation and structures. More advanced topics include multi-temporal 3D data analysis, fusion with lidar data and 3D visualization.<\/p><\/div>Prerequisite: GIS\u00a0510<\/span> or GIS\/MEA\u00a0582<\/span> or Permission of Instructor<\/p><\/div><\/div>Typically offered in Fall only<\/em><\/p><\/div><\/div><\/div>GIS\u00a0590<\/strong><\/span>\u00a0\u00a0
The course provides an overview of UAS mapping technology and its rules and regulations. The principles of UAS data collection are explained along with optional hands-on practice with in flight planning and execution. The main focus is on processing imagery collected from UAS using structure from motion techniques and deriving orthophoto mosaics and ultra-high resolution digital elevation models of land surface, vegetation and structures. More advanced topics include multi-temporal 3D data analysis, fusion with lidar data and 3D visualization.<\/p><\/div>
Prerequisite: GIS\u00a0510<\/span> or GIS\/MEA\u00a0582<\/span> or Permission of Instructor<\/p><\/div><\/div>Typically offered in Fall only<\/em><\/p><\/div><\/div><\/div>GIS\u00a0590<\/strong><\/span>\u00a0\u00a0
Typically offered in Fall only<\/em><\/p><\/div><\/div><\/div>GIS\u00a0590<\/strong><\/span>\u00a0\u00a0