Oceanography (GEOL 3322)

Prerequisite:

Physical Geology (GEOL 1301), Physical Geography (GEOG 1401), or Introduction to Atmospheric Science (ATMO 1300).

Description:

Offered every spring semester, this course provides an overview of the modern oceanography.   It describes the geography of oceans of the world and the physical, chemical, ecological, and geologic processes that take place in them.  It also discusses human activities affect the ocean environment.

Prerequisite:   College Albegra (MATH 1320) or equivalent

Description:

Offered every fall semester, this is an introduction course on geographic information systems (GIS) mainly for students in natural science and engineering.  Separate sections are offered for undergraduate students (GEOL 3428) and graduate students (GEOL 5428).  The semester begins with an introduction to geographic map interpretation.   Then, map-drawing exercises using GIS will follow.  Toward the end of the semester, the class will discuss in detail how GIS would help students and researchers in organizing, manipulating, and analyzing scientific data that are spatially referenced.   The course intends to cover a broad spectrum of geo-information science & technology ranging from the computer cartography, thematic mapping, GIS data formats, the hardware and software in GIS, database management, elementary spatial analyses, and digital image processing.

Students in this course will go through a series of computer exercises, using real geological and environmental data.  ArcGIS Desktop (Environmental Systems Research Institute, Inc.) will be the main GIS software tool for the exercises.  

Prerequisite:   Statistics (MATH 2300) or equivalent

Description:

Offered every spring semester, this course introduces advanced techniques in GIS-based data interpretation, statistical analyses, and geospatial modeling.   It is designed for researchers and practitioners who deal with a large volume of geological, atmospheric, and environmental data sets.   The fundamental theories behind the analytical and modeling techniques are covered in detail.  The theoretical knowledge will be enforced by a series of computer exercises, using real geological and environmental data.

ArcGIS (Environmental Systems Research Institute, Inc.) and its extensions will be the GIS software tool for the exercises.   We will also use Microsoft Excel for exercises in statistics.

An example of surface hydrologic modeling workflow.