GEOG 372
Geographic
Information Systems
Fall 2005
Course Description:
Geographic Information Systems (GIS) is fundamentally an
applications-led technology. It's not a new "killer application",
but a
"must-have" innovative and essential computer application like the word
processor, a spreadsheet, or database manager for problem-solving
"spatially". Yet, science underpins successful
applications. Effective use of a GIS is impossible without
understanding the body of knowledge, geographic
information science, behind the GIS software tools.
With this premise in mind, the
approach taken in this course is to provide the fundamental spatial
concepts and principles of GIS with hands-on training in the use of a
GIS. Emphasis in placed on using "real" world data such as
census,
tigerlines, DEMs, soils, landuse/landcover datasets and the steps
necessary in using the GIS to solve geographical problems.
By the end of the course, you should
have an
understanding of GIS development, functionality, methodology for
implementing
the technology, and its potential usefulness in geographic and
environmental
studies. ESRI's
suite of software packages are used in
this course.
Prerequisites: Students should have completed GEOG 250 Computer Methods. If you lack this prerequisite, please talk with Instructor before enrolling.
Class Meetings: Class
is scheduled from 2:30-4:00pm on Mondays and Wednesdays in the GIS
Teaching
Classroom located in Penny
Hall room 005. Lectures, demonstrations, and exercises will be
conducted
during this 1 1/2 hour time periods.
Text and Readings:
Project (assigned if time permits): A class project will be completed using the GIS techniques learned throughout the semester to address a problem as specified by the Instructor. The Instructor will select a research problem and project area, and the class will collect data and perform GIS analysis to obtain a solution to the research question. A project report that defines the problem, explains why GIS is an appropriate tool to achieve a solution, and discussion of the data layers, method of analysis and summary of results is required. The project is due the last day of classes on Wednesday, May 7th .
Grading: Grades will be based upon total points accumulated by the end of the semester.
Assignments Total Points 4 Quizzes (each worth points each) 200 4-6 In-class exercises and 4-6 Take-home exercises
(10-25 points each) 225
Class Individual Project (assigned if time permits)
50
Class Attendance 25
Updated on August 31, 2005