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Courses may be offered in one of the following modalities:

  • Traditional in-person courses (0–29 percent of coursework is delivered online, the majority being offered in person.)
  • Hybrid/blended courses (30–79 percent of coursework is delivered online.)
  • Online courses (100 percent of coursework is delivered online, either synchronously on a designated day and time or asynchronously as a deadline-driven course.)
  • Hyflex (Students will be assigned to attend in-person or live streamed sessions as a reduced-size cohort on a rotating basis; live sessions are also recorded, offering students the option to participate synchronously or view asynchronously as needed.)

If you are enrolled in courses delivered in traditional or hybrid modalities, you will be expected to attend face-to-face instruction as scheduled.


Environmental Spatial Analysis (ENV-404)


Semester: Spring 2024
Number: 0125-404-001
Instructor: Emily Fogarty
Days: TBA
Note: Online, Asynchronous
Location: Online
Credits: 3
Notes:

This Class Meets Asynchronously Online

Course Materials: View Text Books
Description:

Students will learn advanced uses of geographic information systems (GIS) for environmental applications. This course covers the fundamental concepts, principles, and techniques in the analysis of environmental spatial data, data management, modeling, visualization, interpolation, statistical analyses, and remote sensing data analysis.

Learning Goals:   During this course, students will learn how to:-Perform basic collection, processing, and storage of geospatial data in accordance with contemporary conventions and best-practices;-Perform evidence-based, interpretive analysis to elucidate problems and solutions;-Create and use spatial data in a geographic information system or other visualization programs such as virtual globes to communicate basic and advanced arguments and background.-Critically evaluate the accuracy, validity, and limitations of geospatial data and geospatial data sources;-Formulate and test hypotheses involving geospatial data;Make ethical choices in the collection, analysis, and communication of geospatial information.

*The learning goals displayed here are those for one section of this course as offered in a recent semester, and are provided for the purpose of information only. The exact learning goals for each course section in a specific semester will be stated on the syllabus distributed at the start of the semester, and may differ in wording and emphasis from those shown here.

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