INSTRUCTOR:
Lindi Quackenbush 416 Baker Lab (mailbox in 402 Baker Lab)
Phone: 470-4727
E-mail: ljquack@esf.edu
URL: www.esf.edu/erfeg/quackenbush
COURSE DESCRIPTION:
The course provides an introduction to the fundamental concepts in Geographic Information Systems (GISs) for upper division undergraduate and beginning graduate students in engineering. The course presents GIS theory with an engineering application focus.COURSE PURPOSE:
This course includes coverage of topics such as:
- The fundamental concepts and development of geographic information systems;
- Different models used to represent and characterize spatial data;
- Data processing components including collection and preprocessing, data management, spatial analysis and manipulation, and data output;
- The necessity and utility of spatial data in engineering design analysis;
- Topical issues in geographic information systems.
At the conclusion of the course, students should be able to:
- Explain the fundamental concepts in the acquisition, processing, organization, and management of spatial data;
- Use spatial data and spatial analysis in engineering problem solving;
- Explain the advantages and disadvantages of using raster vs. vector based GIS;
- Utilize a raster GIS package (Idrisi) and a vector GIS package (ArcGIS) to perform spatial analysis.
COURSE OUTCOMES:
Within the context of the course purpose and objectives presented above, this course will contribute to graduates achieving the following specific outcomes:
- Have sufficient backgrounds/tools to function effectively:
- Demonstrate spatial skills for problem solving;
- Exhibit effective written communication skills
- Are capable of utilizing an engineering approach to problem solving:
- Effectively manage and analyze spatial data to determine solutions to spatial challenges
- Communicate their ideas and expectations effectively
- Practice professional communication through preparation of laboratory exercise reports
- Demonstrate communication skills through developing professional memoranda and reports for class projects
- Exhibit attributes of a competent professional:
- Knowledge: understand and apply basic spatial analysis principles to creatively solve problems
- Skills: become proficient users of software tools used in geospatial analysis
- Attitude: demonstrate professional ethics, documentation, self-discipline, and perseverance
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Last updated 24 August 2007