GEOINT Courses: UNCW Earth & Ocean Sciences
Geospatial Science Program Goals and Objectives at UNCW
- Design a map that clearly demonstrates a geographic pattern or process.
- Read and explain information displayed on maps
- Acquire knowledge related to theory and background for cartography, GIS, and remote sensing disciplines
- Create a well-constructed project idea with supported peer-reviewed literature.
- Critically assess the format, value, and limitations of various data and information sources
- Collect data and information related to geographic problems
- Manipulate geographic information in digital formats (such as spreadsheet, statistical, graphical, image processing, GIS, or presentation software).
- Explain how a general geographic model or concept applies to a specific place, culture, or environmental system
- Develop ability to use cognitive spatial skills to understand events on different spatial-temporal scales
- Describe in written or oral form the methods he/she used to address a geographical problem or issue
- Write a research paper or report that synthesizes information from various sources to explain geographical methods and concepts.
- Deliver an oral presentation that clearly explains a geographical concept.
- Develop and design visualization deliverables based on a targeted format or audience
- Design and conduct an individual or group project with the application of geospatial science and techniques
- Apply knowledge of environmental and global issues to a defined research question so that process can be transferred to real-world problems and applications after graduation from our program
- Learn workflows of field data collection methods (equipment prep. and settings, permits, safety, ethical and legal considerations, community contact)
- Gain knowledge of hardware and software compatibility and conversion processes
- Convert field data to suitable and correct formats for desired geospatial analysis
- Connect students to individuals in the community through applied learning projects
Table 1. GEOINT Core Courses for Undergraduates
*indicates capstone courses
| Course Number | Course Name |
|---|---|
| GGY 215 | The Digital Globe |
| GGY 220 | Cartography and Data Visualization |
| GGY 321 | Introduction to Geographic Information Systems |
| GGY 322 | Introduction to Remote Sensing |
Table 2. GEOINT Elective Courses for Undergraduates
*indicates capstone courses
| Course Number | Course Name |
|---|---|
| CSC 322/DSC 301 | Intro to Machine Learning |
| CSC 432 | Deep Machine Learning |
| EVS 455 | Geospatial Analysis for Coastal Management |
| EVS 457 | Introduction to Drone Operations in Environmental Science |
| GGY 222 | Quantitative Methods in Earth Sciences |
| GGY 333 | Applied Climatology |
| GGY 421 | Spatial Programming* |
| GGY 423 | GIS modeling |
| GGY 424 | Advanced GIS |
| GGY 425 | GIS for Equity and Social Justice* |
| GGY 426 | Environmental GIS |
| GGY 428 | Advanced Remote Sensing |
| GGY 429 | Aerial Drone Applications in Geosciences* |
| GGY 433 | Weather Analysis and Forecasting |
| GGY 480 | Advanced Topics in Geography: Weather Remote Sensing |
| GGY 480 | Advanced Topics in Geography: GIS and Flood Risk |
| GGY 480 | Advanced Topics in Geography: Geospatial Open Source Data |
| GGY 491 | Directed Independent Study (DIS) in Geospatial Topics*゜ |
| GGY 498 | Geospatial Internship* |
| GLY 470 | Field Course in Geology |
| GLY 471 | Techniques in Applied Geology |
| OCN 453 | Seafloor Mapping* |
| OCN 479 | Smart Coasts |
| STT 401 | Applied Statistical Methods |
| STT 412 | Applied Regression and Correlation |
| STT 450 | Statistical Machine Learning |
| STT 460 | Statistical Deep Learning |
Table 3. GEOINT Core Courses for Graduates
*indicates capstone courses
| Course Number | Course Name |
|---|---|
| GGY 520 | Fundamentals of GIS |
| GGY 522 | Remote Sensing in Environmental Analysis* |
| GGY 524 | Advanced GIS |
| GGY 526 | Environmental GIS |
| GGY 528 | Advanced Remote Sensing |
Table 4. GEOINT Elective Courses for Graduates
*indicates capstone courses
| Course Number | Course Name |
|---|---|
| CSC 592 | Deep Machine Learning |
| EVS 555 | Geospatial Analysis for Coastal Management |
| EVS 557 | Introduction to Drone Operations in Environmental Science |
| GEO 591 | Directed Independent Study (DIS) in Geospatial Topics* |
| GEO 592 | Advanced Topics in Geoscience: Weather Remote Sensing |
| GEO 597 | Final Project in Geospatial Topics* |
| GEO 598 | Geospatial Internship* |
| GEO 599 | Thesis Research in Geospatial Topics* |
| GGY 521 | Spatial Programming* |
| GGY 523 | GIS modeling |
| GGY 525 | GIS for Equity and Social Justice* |
| GGY 529 | Aerial Drone Applications in Geosciences* |
| GGY 593 | Advanced Topics in Geospatial Science: GIS and Flood Risk |
| GGY 593 | Advanced Topics in Geospatial Science: Geospatial Open Source Data |
| GLY 550 | Marine Geology |
| GLY 551 | Seafloor Mapping* |
| GLY 579 | Smart Coasts |
| STT 501 | Applied Statistical Methods |
| STT 512 | Applied Regression and Correlation |
| STT 550 | Statistical Machine Learning |
| STT 560 | Statistical Deep Learning |