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The ART Option within RNR Studies |
Advanced Resource Technology (ART) is an option within the Renewable Natural Resources Studies Program (RNRS) which leads to a masters or doctoral degree. The RNRS degree may be pursued as a major or minor, and the ART option is one of the two or three required areas of concentration to fulfill the RNRS graduation requirements. The range of technologies included under the ART umbrella is quite broad and covers three general areas:
| RNR 517 | GIS in Natural Resources |
Students are expected to have a proficiency in basic computer operations and may be required by their advisor committee to take a computer programming course. "C" or "C++" programming language is suggested for all students interested in ART.
In addition to these requirements, students must take 9 credit hours from the following list. At least two of the general ART areas listed below must be represented. Selections must be approved in advance by the student's advisory committee. A doctoral minor in Remote Sensing and Spatial ANalysis is also offered by the campus-wide interdisciplinary Committee on Remote Sensing and Spatial Analysis. Other non-RNR courses may be substituted with prior approval of the student's committee.
| Geographic Information Systems | |
|---|---|
| GEOG 516 | Computer Cartography / GIS for Geography and Regional Development |
| RNR 519 | Cartographic Modeling for Natural Resources |
| RNR 520 | Advanced GIS |
| MATH 574 | Introduction to Geostatistics |
| WS M 569 | Spatial Analysis of Hydrology and Watershed Management |
| GEOG 657 | Spatial Analysis |
| Remote Sensing and Image Processing | |
| GEOG 583 | Geographic Applications of Remote Sensing |
| ECE 531 | Image Processing Laboratory for Remote Sensing |
| G EN 507 | Photogeology |
| G EN 505 | Applied Multispectral Imagery |
| OPTI 550 | Fundamentals of Remote Sensing |
| SWES 553 | Remote Sensing of the Environment |
| RNR 522 | Resource Mapping |
| Modeling & Simulation/Artificial Intelligence | |
| ECE 575 | Object-Oriented Simulation/Discrete Event Models |
| ECE 679 | Advances in Knowledge-based Systems |
| ECOL 529 | Population Interactions |
| ECOL 550 | Mathematical Population Dynamics |
| MATH 585 | Mathematical Modeling |
| RNR 527 | Applied Artificial Intelligence |
| RNR 537 | Modeling Natural Systems |
| SIE 574 | Decision Support Systems |
| WS M 570 | Watershed Process Modeling |