GIS220

Taught by

Dr. Abu Z. Badruddin

Professor of GIS
Cayuga Community College
197 Franklin Street, Auburn, NY 13210

Live: (315) 294-8610
Fax: (315) 255-2117
Email: badruddin@cayuga-cc.edu
Office: M274 Main Building

Textbook

Mastering ArcGIS - Maribeth Price, 8th Edition, McGraw Hill (required)

References

• Geographic Information Systems: A Management Perspective - S. Aronoff, WDL Publications, Ottawa, Canada (recommended)

Course Purpose

This is a senior level GIS course that will focus on advanced topics in GIS including planning, management, raster-vector integration, and data quality issues. Students will learn how to do customization, spatial modeling, advanced editing and database query mainly in ArcGIS environment. Basic techniques of GPS data collection will also be introduced. Students will learn how to bring all the pieces of Geographic Information Technologies together for advanced analysis and modeling.

Course Objectives

At the conclusion of this course, students will:

• have a complete picture of existing data models in GIS and their inherent advantages and limitations
• understand and be able use typical GIS packages both in raster and vector worlds and their integration in order to meet the specific needs in resource analysis and management
• be able to use common GPS receivers and associated software to collect, process, and integrate geospatial data
• gain skills in advanced use of ArcGIS for spatial analysis and modeling

Laboratory Exercise

Each lab assignment is due in the following week and late submission will not be accepted except in case of an emergency. Completing all the assignments will keep you occupied and it will require several hours beyond the class time.

GIS Project

An important objective of the GIS Project is to gain practical experience in solving real world problems with real data. This will be a capstone project, which will bring together all of the skills and techniques that students have learned over the past few semesters in GIS, GPS, Remote Sensing, and in other related fields.

Grading

Component	Weight
Exams & Project	50%
Lab exercises	40%
Quizzes	10%

*** The above grading is subject to change at the instructor's discretion ***

Lecture Topics Outline

Week	Topic
Week 1	Course Introduction and Demonstration
Week 2	Geocoding in ArcGIS (Chapter 10)
Week 3	Introduction to Spatial Analyst
Week 4	Spatial operation with Map Algebra
Week 5	Modeling in ArcGIS
Week 6	Spatial Prediction
Week 7	MIDTERM
Week 8	Building Geodatabase
Week 9	Creating and editing features in Geodatabase
Week 10	SPRING BREAK
Week 11	Basic Editing in ArcMap
Week 12	Advanced Editing Technique
Week 13	Advanced Mapping Techniques
Week 14	Introduction to GPS
Week 15	GPS data collection and processing
Week 16	Review & Project Presentation
Week 17	FINAL EXAM