ENVR 290: Computer Applications in Resource Management (RFW). Land and Natural Resource Management is quite complex partly due to the need to understand and account for many different and often competing interests. The locations of those interests and the relationship between each creates the need to use systems like Geographic Information Systems (GIS). The content of ENVR 290 will cover software used for data gathering, exploration, assembly, display and presentation of land and natural resource information. One focus will be common geospatial analysis and preparing basic cartographic maps using ArcGIS software, particularly on integrated projects aligned with your other RFW classes. Another focus will be setting up for efficient mobile data collection, collecting accurate data, and importing mobile data into various applications.
Prerequisites: ENVR 158 and ENVR 190
Corequisite: None
Crosslisted: None
Accessibility Services Notice
Students who would like an academic accommodation and who have a documented disability should contact Accessibility Services, if they have not already done so.Course Details| Total number of weeks | 15 |
|---|
| Total Credits | 2.00 |
|---|
| Total Hours | 45 |
|---|
Typical hours per week breakdown| Lecture | 1 |
|---|
| Lab (lab, field, computer) | 2 |
|---|
Learning Outcomes
Upon successful completion of this course, the learner will be able to:
- apply GIS theory and concepts to answer spatial questions;
- create, import, manage, join, relate, explore, analyze and display geospatial data using ESRI’s ArcGIS desktop software, as well as Microsoft Excel and Windows Explorer;
- design and produce thematic maps to communicate natural resources data, applying basic cartographic principles to improve map layouts and communication;
- identify and compare different GIS data models, and convert between vector data models as needed;
- identify and compare coordinate system and datum used in geographic data. Set and convert spatial reference systems, and correctly utilize project-on-the-fly to represent your data on a map layout;
- describe common raster datasets and apply a variety of symbolization strategies to visualize the data;
- set up and use mobile GIS applications and GPS devices to collect useful field data, and import this data into GIS software. Convert this imported data into a standard GIS data model; and
- Create useful raster and vector datasets, such as contour, slope, hillshade, and aspect datasets, from digital elevation models.
Grading Table
| Percentage |
Letter Grade |
GPA |
| 90-100 |
A+ |
4.33 |
| 85-89 |
A |
4.00 |
| 80-84 |
A- |
3.67 |
| 76-79 |
B+ |
3.33 |
| 72-75 |
B |
3.00 |
| 68-71 |
B- |
2.67 |
| 64-67 |
C+ |
2.33 |
| 60-63 |
C |
2.00 |
| 55-59 |
C- |
1.67 |
| 50-54 |
P |
1.00 |
| 0-49 |
F |
0.00 |
| |
DNW |
0.00 |
See the Academic Calendar for General Information including how to withdraw from course(s) and other regulations.
Disclaimer
Information contained in this course outline is correct at the time of publication. Content of the course is revised on an ongoing basis to ensure relevance to changing educational, employment and market needs. The instructor will endeavor to provide notice of changes to students as soon as possible. The instructor reserves the right to add or delete material from courses.