Course Search Results

  • GEOG 4165: Data Visualization

    3.00 Credits
    University of Utah

    Many aspects of our world are very complex. Scientists collect data on issues like climate change, gentrification, or disease epidemics to understand them and guide response. However, these data are too large to grasp, too convoluted to decipher, or too noisy to comprehend. Visualization provides a way of combating information overload, as a well-designed graph, map or chart can help to understand large, complex data streams. Furthermore, visualization is an inclusive way of communication and therefore, engages diverse audiences in the process of analytic thinking. In this class, students learn a definition and brief history of data visualization, including its fundamental concepts. In addition, we will review and learn the skills/tools that are relevant in working with visualization environments, using state-of-the-art software tools and techniques. Prerequisites: 'C' or better in GEOG 3100 OR GEOG 4140
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  • GEOG 4999: Honors Thesis/Project

    3.00 Credits
    University of Utah

    Restricted to students in the Honors Program working on their Honors degree. Prerequisites: Instructor Consent.
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  • GEOG 5110: Remote Sensing Analysis

    3.00 Credits
    University of Utah

    Graduate students should enroll in GEOG 6110 and will be held to higher standards and/or more work. High-resolution multispectral data, coupled with expanding computing power and increasingly sophisticated image processing software, provides a large set of quantitative, graphic, and science visualization tools for solving science-based environmental problems using remote sensing data. The theory and application of image-processing techniques such as data corrections, enhancements, transformations, and classification are aimed at specific environmental problems in the natural and human domains. Hands-on experience is gained through image processing laboratory techniques and real-world science projects. Prerequisites: "C" or better in GEOG 3110.
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  • GEOG 5120: Adv Opti Remote Sensing

    3.00 Credits
    University of Utah

    Optical remote sensing uses reflected sunlight and emitted thermal infrared radiation to measure the Earth's surface and atmosphere. This course covers remote sensing theory that determines how light and matter interact. It also investigates applications of visible, near IR, thermal IR, and hyperspectral remotely sensed data. Quantitative labs make measurements that demonstrate remote sensing theory, and also work with state-of-the-art data from aircraft and satellites. Topics include modeling absorption and emission of electromagnetic radiation, directional reflectance, spectroscopy, and hyperspectral remote sensing techniques. This class is perfect for students who want to the opportunity to learn advanced remote sensing techniques and who are curious about how remote sensing really works. Prerequisites: "C" or better in GEOG 5110.
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  • GEOG 5130: Adv Actv Remote Sensing

    3.00 Credits
    University of Utah

    Graduate students should enroll in GEOG 6130 and will be held to higher standards and/or more work. Active remote sensing uses radar or laser energy emitted by satellites or aircraft to measure and image the Earth's surface. Synthetic aperture radar (SAR) and lidar remote sensing permit precise measurement of surface height and changes in surfaces over time, enabling diverse applications such as glacier movement, ground displacement, and forest biomass. SAR also offers images of the earth's surface that provide information not available with traditional visible and infrared satellite sensors and the ability to image through clouds and darkness. This course covers theory and applications of active remote sensing using a combination of lectures and project-based learning. Prerequisites: "C" or better in GEOG 5110.
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  • GEOG 5131: Capstone in RS

    3.00 Credits
    University of Utah

    Prerequisites: 'C' or better in GEOG 3100 AND GEOG 5110
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  • GEOG 5160: Spatial Data Science

    3.00 Credits
    University of Utah

    Graduate students should enroll in GEOG 6160 and will be held to higher standards and/or more work. This course is designed to build from GEOG 3155/5155 (Introduction to Spatial Data Science) by covering more advanced topics. These will include greater detail on the algorithms used in machine learning, the use of hyperparameter tuning, deep learning and the use of dashboards to communicate results. Most topics will be introduced as a case study, allowing discussion of the methods, results and choices taken in developing the analysis. Topic will include a mix of video lectures and in-class demonstrations, followed by a hands-on lab where students can walk through the analysis using Python or R. In addition, students will be required to carry out a short spatial data science project and present the results to the class. Prerequisites: 'C' or better in GEOG 3155 AND GEOG 4140
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  • GEOG 5161: Capstone in GIS

    3.00 Credits
    University of Utah

    Graduate students should enroll in GEOG 6161 and will be held to higher standards and/or more work. The culmination of GIS classroom learning is the application to industry problems. This course provides students with the opportunity to apply their GIS skills and knowledge to real-world GIS projects in the community. Students, working in small teams, will be provided a locally sponsored GIS project which they will take through the GIS project life cycle from conception to completion. Prerequisites: 'C' or better in (GEOG 3170 OR GEOG 5170) AND GEOG 3180 AND GEOG 4150
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  • GEOG 5170: Geospatial Fld Mthds

    3.00 Credits
    University of Utah

    Graduate students should enroll in GEOG 5170 and will be held to higher standards and/or more work. This field based course is a hand on introduction to geospatial field methods. Coarse content will focus on Global Positioning Systems (GPS)/Global Navigation Satellite Systems (GNSS) and unmanned aerial systems (UAS; commonly referred to as drones), but will also broadly cover the various tools and resources geospatial scientists employ to gather, process/analyze, and visualize/present geospatial field data. Prior to the field session class room lectures will cover the basics needed to successfully understand field collection and analysis, including projections and coordinate systems, remote sensing, georeferencing, digital surface/elevation models, and basic spatial analysis using Geographic Information Systems (GIS). In the field students will learn safe field practices, field note taking and metadata collection, how to write up field reports, will get guided hands on experience with field instrumentation including surveying equipment, GPS, and UAS, and will independently collect data for their course projects.
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  • GEOG 5201: Arid Lands

    4.00 Credits
    University of Utah

    Graduate students should enroll in GEOG 6201 and will be held to higher standards and/or more work. Deserts cover 30% or more of the global land surface and face population growth, droughts, and the impacts of hydroclimatic change. This course presents conceptual foundations and case studies related to ongoing research about the nature, origin, and geomorphic evolution of arid landforms, as well as selected environmental issues. Class readings, lectures, exercises, and field trip focus on the physical, biological, geomorphic, temporal, and human components of drylands. Prerequisites: "C" or better in GEOG 3200.
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