Geographic Information Systems (GIS)

spatial representations transformed for analysis

Courses and Descriptions:

GEOG 3: Introduction to Maps and Geographic Technologies

3 units. Introduction to maps, map concepts, and geographic technologies. Maps are the most effective way to communicate spatial data, and introduces students to the quickly changing world of maps (both hard-copy and digital) and geographic technologies including map and aerial photograph interpretation, spreadsheet operations, introductory statistics, global positioning systems (GPS), Internet mapping, satellite and aerial images, and geographic information systems (GIS) that aid in data collection, analysis, and presentation. Lecture two hours, laboratory two hours.

This course addressed portions of the GIS&T Body of Knowledge Core Units AM3, AM4, CF4, CV2, CV3, CV6, DM3, DN2, GD1, GD3, GD4, GD5, GD6, GD10, GD12, and GS6.

GEOG 105: Computer Cartography

(Passing score on ELM exam recommended)

3 units. Preparation of maps and diagrams, emphasizing thematic map design using various mapping and design programs. Detailed study of important map projections. Lecture one hour, laboratory six hours.

This course addressed portions of the GIS&T Body of Knowledge Core Units AM3, AM4, CV2, CV3, CV6, DM3, DN1, DN2, GD1, GD3, GD5, GS6, and O16.


GEOG 107: Remote Sensing

(requires Geog 3, passing score on ELM recommended)

3 units. Imaging science as applied to Earth surface targets. Topics include energy, light and color, the spectrum, digital image processing, enhancement and information extraction. Lectures discuss theory and applications of visible / infrared imaging, radar, thermal imaging and LIDAR in a variety of applications. Labs cover image measurement, photogrammetry, rectification, and classification for mapping land cover. Integrated lecture and lab course, five hours.

This course addressed portions of the GIS&T Body of Knowledge Core Units AM3 and GD10.

GEOG 109: Geographic Information Systems

3 units. Hands-on introduction to GIS using ESRI ArcGIS software. Topics include GIS data structures and objects, basic map graphic design, basic relational database operations in GIS, important Earth models and coordinate systems for GIS, GIS data analysis including overlay and networks, GIS data input, basic of property mapping and CAD data, and 3-D surface creation and analysis. Integrated lecture and lab course, five hours.

This course addressed portions of the GIS&T Body of Knowledge Core Units AM4, CV2, CV3, DM3, DM4, DN1, GD3, and GD5.

GEOG 110: Advanced Geographic Information Systems

(requires Geog 109 or instructor’s consent)

3 units. This course focuses on developing a more in-depth understanding of GIS analytical approaches. This includes a review of GIS conceptual and data models, spatial modeling concepts and frameworks, and consideration of standard GIS modeling toolsets, including data query, vector and raster overlay, terrain and watershed analysis, spatial interpolation, geocoding, dynamic segmentation, and network and path analysis. Lecture two hours, laboratory two hours.

This course addressed portions of the GIS&T Body of Knowledge Core Units AM4, AM5, CF4, CV2, CV6, DA4, DM2, DM3, DM4, DN1, GD3 and GD6.

GEOG 163: Applied GIS

(requires GEOG 109)

Introduction to developing a GIS project, including planning, database research, proposal writing, analysis and evaluation. Lecture 2 hours; Laboratory 3 hours.

This course addressed portions of the GIS&T Body of Knowledge Core Units AM3, AM4, AM5, CF4, CV2, CV3, CV6, DA4, DM2, DM3, DM4, DN1, DN2, GD3, GD5, GD6, GD12, GS6, and O15.

GEOG 181: Quantitative Methods in Geography (formerly Spatial Analysis)

3 units. This course is designed to introduce students to quantitative spatial analysis tools commonly used by geographers, with an emphasis on spatial and aspatial statistics. Topics include visual and statistical descriptive approaches, basic univariate and multivariate inferential statistics, point pattern analysis, spatial autocorrelation, spatial regression, geographically weighted regression, and data reduction tools.

This course addressed portions of the GIS&T Body of Knowledge Core Units AM3 and AM5.