This course starts with the definition of what a map is and considers maps as tools for communication. Students are led to explore the effects of scale, projection, cartographic symbolization and generalization on the mapping process and resulting digital databases. Students are introduced to spatial data models, types of spatial data and representation, and study alternative or non-tradition map representations provided by GIS and Remote Sensing. The course includes hands-on map activities; map reading/interpretation, map use, and map production where students will use their laptops to create online web mapping services.

This course analyzes the relationship between the environment, economic development, culture, and politics by examining human geography in the context of global regions. This course introduces core concepts in human geography such as space, place, and scale, and globalization, and applies those concepts to understand the diversity of our globalizing world. Topics from the impact of climate change, to colonialism, the geography of agriculture, urbanization, geopolitics, and ethnic and national identities are explored.

The environment is highly dynamic and is continually modified by human and environmental processes. This course examines these processes to better understand how the Earth's landscapes were formed and how they are currently being transformed. Specifically, students will understand the fundamental processes that govern the physical environment including Earth-sun relations, water resources, landforms, weather and climate, natural vegetation, and soils.

Earth systems science is an interdisciplinary approach to understanding the processes operating within and the interactions between the geosphere, hydrosphere, atmosphere, and biosphere. In this course we investigate the changing nature of the Earth; its composition, architecture, and antiquity; the internal and external processes that shape it through time; cycles of energy and matter; the development of life and impact of human activity; and both local environmental issues and global change. For students using a 2012-2021 LEP catalog year, the GEOL subject is now EES. If you took GEOL 1610, EES 1110 will not fulfill the requirement of a different subject. Credit will not be granted if already received for GEOL 1110

GIS 3563 emphasizes the concepts needed to use GIS effectively for acquiring, editing, querying, analyzing and visualizing spatial data. This course is an introduction to GIS and trains basic skills with industry standard GIS software in a wide variety of applications in both the natural and social sciences. The course covers basic data modeling, data manipulation, analytical methods and implications of geospatial technologies on society. prereq: credit will not be granted if already received for GEOG 3564 or 4563 and 4564 or GIS4565.

GIS 3564 follows 3563 and provides more hands-on skills with industry standard GIS software in a wide variety of applications in both the natural and social sciences. It covers more advanced analytical methods for both raster and vector data. Lastly, the course questions ethics regarding geospatial information and introduces the code of ethics for GIS professionals. prereq: 3563; credit will not be granted if already received for GEOG 3564 or 4563 and 4564 or GIS4565.

his course is a selective overview of the methods used for imaging the Earth and its atmosphere. The objective is to expose students to the common methods of Earth imaging and provide them with hands-on experiences in exploring these rich datasets. This course introduces aerial photographs, satellite imaging (active and passive forms), and Digital Elevation Models (DEMs). By the end of the course students will be able to comfortably analyze mulitspectral Earth imagery, handle a LiDAR point cloud, and create a variety of informative outputs from an image. prereq: 2552; credit will not be granted if already received for GEOG 3580

There are currently over 1 million GIS users world-wide producing nearly 15,000 maps daily. The vast majority of these users utilize the internet and mobile devices to collect, manage, process and store the geospatial data necessary to create and distribute these maps. As such, GIS is shifting from a system where the focus lies almost entirely on the data itself, to a geographic information service where the focus lies on the distribution of spatial content to stakeholders and end users via the internet. The aim of this course is to expose students to the practical and theoretical applications of distributed geographic information services including web and mobile apps, virtual and physical servers, APIs, and scripting languages (Javascript, CSS, HTML5, SVG). Labs and a group semester project will focus on a distributed GIS for a stakeholder within the region. Software used will vary, but may include ArcGIS Online, ArcGIS Pro, or open-source software. pre-req: GIS 3563 or instructor consent; credit will not be granted if already received for GIS 3533

This course provides GIS students, or students in related fields and interested in spatial data analysis with advanced GIS methods and techniques to analyze spatial data and publish valuable insights and monitoring solutions. Methods covered in this course may be applied across a wide variety of fields (social or environmental studies, economics and management, sciences and engineering), whenever spatial information needs to be analyzed. The course marries theory and applications and relies on a variety of desktop or "as-service" software. Examples are: ArcGIS Pro, ArcGIS online, QGIS. prereq: GIS 3563, preferred STAT 1411 or 2411; no grad credit

Python has become the main scripting language used for geoprocessing. In this class, building on previous GIS experience, students learn how to automate geoprocessing workflows with Python and how to turn their code into tools and add-ins for the main commercial and open-source GIS software systems. prereq: 3563 and 3564 or 4565 preferred

This class focuses on data problems GIS professionals commonly face. Students will learn to evaluate existing data, operate common field collection instruments, solve georeferencing issues, conceive and implement spatial databases, and optimize queries. pre-req: GIS 3563 recommended additional course prereq: GIS 3564

This advanced course provides students with an opportunity to explore the many applications of geographic information systems in local government, transportation development, and sustainable community planning. Students learn how GIS can be used to effectively carry out urban and regional planning tasks and gain a basic understanding of GIS project planning and data management. Labs focus on land use planning, transportation development, green infrastructure, and population dynamics from across the globe, with a particular focus on the Duluth area. Software used will be ESRI ArcGIS. prereq: 3563 and 3564 or 4565 (preferred) or instructor consent; credit will not be granted if already received for GEOG 5571

Explore GIS applications to the environmental issues such as natural hazards, forest management, contaminated sites, soil erosion, habitat assessment, and regional planning. Prereq: 3563 or 4565 or grad student or instructor consent; credit will not be granted if already received for GEOG 5572.

This course provides students with an opportunity to explore the many applications of geographic information science in environmental and societal sustainability, renewable energy, and community planning. This course is based on the idea that in order to successfully transition toward sustainability, a better understanding of coupled human and natural systems in critical, and that because of the unique challenges and conflicts present within northern Minnesota between human and natural systems, it is an ideal location to attempt to mitigate these challenges through the use of Geographic Information Science. Labs focus on current topics relevant to the region including energy use calculations, food deserts, LEED certification, water pollution, and transit planning. Software used will be ESRI ArcGIS. Prereq: 3563 and 3564 or 4565 (preferred) or instructor consent; credit will not be granted if already received for GEOG 5573

This advanced remote sensing course focuses on theories and applications of digital image processing and provides students with knowledge and skills of advance digital image processing and a variety of analyitical techniques. Topics include image display and visualization, methods for geometric and radiometric corrections, image enhancement, image classification, change detection, and Principal Component Analysis (PCA). prereq: 3580 or instructor consent; credit will not be granted if already received for GEOG 4580 or GEOG 5581

For students interested in doing advanced work in selected fields of GIS. prereq: instructor consent

Scheduled assignments with direct supervision in public agencies or relevant private firms. prereq: GIS major with minimum 60 credits and instructor consent

Practical experience in teaching beginning courses in the department. Students serve as intern teachers assisting the instructor in administration of the course or tutors for the GIS program. pre-req: instructor consent

Advanced individual project in any area of Geographic Information Science demonstrating sound theoretical and research foundations and resulting in a written report or other expression of scholarly production. pre-req: instructor consent; no grad credit