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Courses : Syllabi : 104

Geography 104 Geographic Information Science and Spatial Reasoning

Instructor

Dr. Ming-Hsiang Tsou

Course Description

This course will introduce fundamental concepts of geographic information science (GIScience), including geographic information systems (GIS), global positioning systems (GPS), cartography, remote sensing, and spatial statistics. Advanced geospatial application tools, such as Google Earth, Google Map, and the National Geographic Map Machine will be used to demonstrate these concepts. Students will learn how to use these geospatial technologies and tools in addressing human and environmental problems. Students will be able to organize geospatial data, visualize spatial patterns, and conduct basic spatial query and map overlay functions.

Prerequisites

Satisfaction of the Entry-Level Mathematics requirement (ELM).

Grading

Your grade in this course will be based on the following elements:

This course will provide a series of web-based GIS exercises for students who may utilize any campus computers in public space or their home computers with high speed Internet access. Web-based assignments are due at the beginning of the lecture on the lab due day. Late submission will be docked 20% per day, and will be effective on the due date. This course also provides access to the Spatial Analysis Lab (SAL) for students who need to access high speed Internet.

Books and Materials

Longley, Paul A., Goodchild, Michael F., Maguire, David J., and David W. Rhind. 2005. Geographic Information Systems and Science (Second Edition), John Wiley and Sons, Toronto.

Additional readings as assigned.

Weekly Topics

Week Topic
Week One Introduction
Overview of GIScience
Week Two Mapping the Earth
Describing location
Week Three Digital Globe
Scale and Resolution
Week Four GIS Movies
Week Five Geo reference
GPS introduction
Week Six Sampling the Earth
Basics of GIS
Week Seven GIS data input
Database Management
Week Eight Internet and the Web GIS
Intro Remote Sensing
Week Nine Cartography (Exam review)
Mid-term Exam
Week Ten Remotely Sensed Imagery
EMR interaction
Week Eleven Visualization and Maps
Week Twelve Spatial Analysis
Spatial Statistic
Week Thirteen Thanksgiving
Week Fourteen GIS and Society
Week Fifteen The future of Geospatial Technology

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