Courses

This course covers the erosional, transportation, and depositional processes responsible for shaping Earth's surface. Specifically, the course reviews hydrologic geomorphology (surface water, groundwater, and glacial ice), aeolian and desert geomorphology, plate tectonics, volcanism, and hillslope processes. This course will combine lectures, readings based on recent contributions to the field, discussions, field data collection, calculations, and other activities.

LAB. 2. Pr. GEOL 6600. Departmental approval. Advanced treatment of geophysical methods, data interpretation and modeling. Applications to resource development and environmental assessments will be explored, with emphasis on seismic methods. 1302 Certificate in Geographic Information Systems (GIS)

This course provides students an introduction to advanced technologies in geospatial data collection and analysis, including GNSS, LiDAR, terrestrial 3D scanner, UAS, and their integration with Geographic Information Systems.

Intensive conversation with practice in using various levels of the spoken language from slang to formal speech. Emphasis on the sounds and idioms of German. Students will gain familiarity with German cultural history, as well as contemporary political and popular culture. This course may be repeated for a maximum of six credits.

Study of practical commercial language used in business transactions and correspondence.

Advanced German Grammar provides a deeper understanding of the basic principles guiding German grammar, in part by introducing new grammar rules, but primarily by reviewing and explaining in depth the grammar rules that were learned on the 100 level and reinforced in GR 201 Intermediate German I and GR 202 Intermediate German II.

This course builds on the principles introduced in GEO 2426 and presents an in-depth examination of the technical aspects involved in spatial data handling, analysis, and modeling.

These course focuses on advanced topics in geographic information science (GIS) including surface analysis, location analysis, network analysis, geo-computation methods and modeling, and big data analytics. Through a series of hands-on self-paced GIS lab exercises, students are introduced to 64-bit ERSI Desktop GIS Platform - ArcGIS Pro. The ultimate goal is to equip upperclassmen with industry-level advanced analytical and practical skills in GIS and spatial analysis.

This course focuses on advanced topics in geographic information science (GIS) including: surface analysis, location analysis, network analysis, geo-computation methods & modeling, and big data analytics. Through a series of hands-on self-paced GIS lab exercises, graduate students are introduced to 64-bit ESRI Desktop GIS Platform - ArcGIS Pro. The ultimate goal is to equip graduate students with industry-level advanced analytical and practical skills in GIS and spatial analysis.

Students learn to systematically and effectively formulate, organize, and implement research problems, collecting and preparing data, designing analytical methods, will learn how to build, modify, and streamline geoprocessing models.