CEE 357: An Introduction to Geographic Information Systems

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CEE 357 - An Introduction to Geographic Information Systems

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Catalog Description

357 An Introduction to Geographic Information Systems. I; 4cr. Design, implementation and use of automated procedures for storage, analysis and display of spatial information. Covers data bases, information manipulation and display techniques, software systems and management issues. Case studies. Meets with Geography 377. P:Intro crse in envrnmtl or mapping sci and an intro crse in computer programming or computer concepts. Muehrcke.

Course Prerequisite(s)

See catalog description above.

Prerequisite knowledge and/or skills

Students taking 357 must have an introductory understanding of both the mapping sciences and computer programming.

Textbook(s) and/or other required material

Longley P.P., M.F. Goodchild, D.J. Maguire, D.W. Rhind, 2005. Geographic Information Systems and Science, John Wiley & Sons, 294 p.

Course objectives

CEE 357 contributes to a comprehensive education in the fundamentals of civil and environmental engineering by providing an introduction to the basic principles and hands-on experience with geographic information systems technology.

Topics covered

Measuring Systems
Location: coordinate systems
Attributes: data types
Topology: Basic geometric elements
Raster Data Models
Vector Data Models
TIN
Aspatial Data Models: Relational Tables
DBMS and its use in GIS
Data Input (spatial and thematic)
Coordinate Transformation
Data Editing (spatial and thematic)
Metadata
Spatial Queries
Digital terrain analysis
Statistical operations
Spatial Overlay

Class/laboratory schedule

Two 1.25-hour lectures and 1 2-hour lab per week each week of the semester.

Relationship of course to undergraduate degree program objectives and outcomes

This course primarily serves students in the department. The information below describes how the course contributes to the undergraduate program objectives.

Students completing CEE 357 should be able to select an appropriate solution method for a defined problem, and obtain and verify that the solution satisfies all conditions. Students should be able to relate measurement accuracy and precision to spatial data quality in the context of GIS. They should have the ability to apply knowledge of mathematics to civil and environmental engineering problems. They should know the principles and structure of computer programs and be able to apply LIS/GIS technology to solve well-defined problems.

Assessment of student progress toward course objectives

Student performance is assessed through a mid-term exam, a final exam, and a series of laboratory exercises.

Person(s) who prepared this description

Alan P. Vonderohe

Copyright 2007 The Board of Regents of the University of Wisconsin System
Date last modified: 02-Aug-2007
Content by: cee@engr.wisc.edu
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