Department of Geosciences

PGEO 6070 - Quantitative Methods in Geosciences
[SP16] [SP17] [SP18] [SP20]

Three credits. In this course, students learn statistical and data analysis methods to describe, analyze, transform, and utilize geospatial datasets through modern computing technology. Students acquire the necessary skills to apply computational methods to solve practical problems in geology and physical geography fields. Examples of analysis include: basic statistical tests, solution of systems of linear equations, eigenvalues and eigenvectors, curve-fitting and regression, including multiple regression, time series and correlation methods for sequential data, principal components analysis, independent components analysis, and cluster and discriminant analysis. This course is accompanied by learning of a high-level technical computing language and interactive environment such as MATLAB and Python.

PGEO 4511/5511 - Advanced Remote Sensing
[FA15] [FA16] [FA17] [FA18] [FA19] [FA20]

Three credits. This course contains two modules: Hyperspectral and RADAR remote sensing. In the first module, the course provides students with fundamental concepts of hyperspectral images and key characteristics of the imaging sensors. A major emphasis is given to key parts of the electromagnetic spectrum, the different atmospheric influence, the use of hyperspectral for vegetation analysis, and standard techniques developed to extract/interpret information from hyperspectral images. Students learn these techniques using ENVI software package. In the second module, students are presented with key terminology and concepts definitions and fundamentals of RADAR remote sensing and SAR technology. Students are exposed to physical principles that allow for information extraction from RADAR imagery as well as techniques for data processing using commercially available software packages such as ERDAS and ENVI.

PGEO 4490/5490 - Remote Sensing
[SP19] [SP20]

Four credits. This is an introductory course in remote sensing. It is composed of lectures and laboratory exercises. During lectures, concepts, principles and applications of remote sensing are explained. During laboratory, students use industry leading software packages to convert data into information through pre-processing, classification, accuracy assessment, and map generation.

PGEO 6040 - Geospatial Systems and Applications
[FA14][SP16][FA17] [SP19]

Four credits. Spatial modeling plays an important role in improving our understanding of physical processes acting on environmental geosystems. In this course, students learn new concepts involving modeling natural environments through the utilization of spatially based systems engineering. These systems are specifically designed to support decision-making and/or resources allocation in multi-disciplinary problems based on spatial location. In the early stages of the course, students are exposed to the following theories and concepts: introduction to systems engineering, Spatial Decision Support Systems (SDSS), and watershed modeling using the U.S. Department of Agriculture, Annualized Agricultural Non-Point Source (AnnAGNPS) pollution and watershed management model.

PGEO 6050 - Programming for Geospatial Systems and Applications
[SP14] [FA15] [SP17] [FA18] [FA20]

Three credits. The main objective of this course is to introduce students to scripting/programming techniques designed to describe, analyze, transform, display, and make inferences from geospatial datasets. Using Python programming scripts, students extend the capabilities of commercially available geographic information systems (GIS) software packages. The focus of the course is on industry leading ArcGIS software package and its ArcPy Python module. By the end of the course, students are capable of solving and automating GIS tasks such as spatial analysis (geoprocessing), data transformation, map generation, and geospatial database integration.

PGEO 4570/5570 - Advanced Geographic Information Systems (GIS)
[FA13] [SP15] [FA16] [SP18] [FA19]

Three credits. The main objective of this course is to provide a solid introduction to the techniques of spatial modeling and spatial analysis using GIS to natural scientists. Spatial analysis plays an important role in GIS by offering a collection of techniques to add value to spatial data and/or to create information from the spatial data. Spatial analysis can be used to reveal things that might otherwise be missed. This includes techniques for improved mapping and visualization, removing of data anomalies, filtering, pattern investigation, accuracy assessment, and spatial modeling.

PGEO 4560/5560 - Intermediate Geographic Information Systems (GIS)
[SP13]

Three credits. This course represents continued training in GIS analysis. This course includes raster analysis, spatial analysis, network analysis, and geocoding. Emphasis is given to data management, data creation and editing, and geodatabase design and implementation. Students gain improved understanding of methods for collecting, querying, analyzing, transforming, identifying patterns, and displaying spatial information.

PGEO 4530/5530 - Introduction to Geographic Information Systems (GIS)
[FA12]

Three credits. This course provides advanced training in the concepts, principles, and practical applications of Geographic Information Systems (GIS) and its roles in research and applications in geosciences, social sciences, and engineering fields. This course, demonstrate to students how GIS contributes to a variety of applications, including urban, regional, environmental, demographic, and resources planning.

PGEO 4280 - Topics and Problems Physical Geography
[FA14]

Three credits.

GEOL 6030 - Geoscience Colloquium
[FA14]

Two credits. A discussion of current issues in the field of Geosciences led by guest speakers, MTSU faculty members, and graduate students.

The University of Mississippi

Department of Geology and Geological Engineering

• GE 511 - Spatial Analysis  [SP09] [SP10]
• GE 500 - Remote Sensing  [SP09]
• Geol 500 / GE 470 - Introduction to Geographic Information Systems  [FA08] [FA09]
• ENGR 6200 - Advanced Remote Sensing: Hyperspectral  [FA09]
• Geol 615 - Geometrics  [FA08]
• Department of Civil Engineering
• ENGR 207 - Engineering Graphics I (AutoCAD)