Course Syllabus
ISMT E-150: Introduction to GIS (12917) - Fall 2016
(Last update: July 19, 2016)
Course lecutre time: Thursdays 5:30-7:30pm Eastern Time
Optional help sections: Tuesday, 7:00-8:00pm Eastern Time
Location (online): see latest update on http://extension.harvard.edu
Instructor: Dr. Wendy Guan, wguan@cga.harvard.edu
Teaching fellow: Mr. Giovanni Zambotti, gzambotti@cga.harvard.edu
Prerequisite: familiarity with Microsoft Office Suite (Word, Excel, PowerPoint), online learning platform (Blackboard Collaborate, Adobe Connect) and Internet browsing
Credits: 4
Course Description
This course introduces the concepts and components of a geographic information system (GIS). It also teaches the essential skills of operating a functional GIS through the use of ArcGIS software package. By completing this course, students will understand the operational processes of spatial data acquisition, editing and QA/QC, metadata development, geodatabase design, spatial query and display, spatial analysis and modeling, preliminary GIS application development, cartographic mapping and dynamic visualization, and GIS implementation basics. Students will also be exposed to Google Earth and common open source GIS tools, as well as the basic concepts of remote sensing and Global Positioning System (GPS).
GIS technology has broad applications in natural and social sciences, humanities, environmental studies, engineering, and management. Examples include wildlife habitat study, urban and regional planning, contagious disease monitoring, agriculture and forestry, environmental quality assessment, emergency management, transportation planning, consumer and competitor analysis, and many more. This course will introduce a few selected cases of GIS application in different disciplines.
Textbook
Required: Getting to Know ArcGIS (4th Edition)
Authors: Michael Law, Amy Collins
Publisher: ESRI Press (July 2015, © 2015)
ISBN-13: 978-1589483828; ISBN-10: 1589483820
http://esripress.esri.com/display/index.cfm?fuseaction=display&websiteID=286&moduleID=0
http://www.amazon.com/Getting-Know-ArcGIS-Michael-Law/dp/1589483820
Recommended: Geographic Information Systems and Science (4th Edition)
Authors: Paul A. Longley, Michael F. Goodchild, David J. Maguire, David W. Rhind
Publisher: Wiley (March 2015, ©2016)
ISBN-13: 978-1118676950; ISBN-10: 1118676955
http://www.wiley.com/WileyCDA/WileyTitle/productCd-EHEP003247.html
http://www.amazon.com/Geographic-Information-Science-Systems-Longley/dp/1118676955/
Course Schedule
Week | Date | Lecture | In-class Demo | Lab Assignment | Getting to Know... Chapters | GIS&S Chapters |
1 | 9/1/2016 | Lecture 1: Introduction, course overview, what is GIS | Demo 1: ArcGIS navigation, online help | Lab 1: ArcGIS basics, loading data, scales, navigation, online help | 1, 2, 3, 4 | 1, 2 |
2 | 9/8/2016 | Lecture 2: Cartographic principles and conventions | Demo 2: Map symbology customization | Lab 2: Making map | 7, 9, 10 | 3, 12 |
3 | 9/15/2016 | Lecture 3: Spatial data properties and structure | Demo 3: Joining spatial and tabular records, projection definition and conversion | Lab 3: Attribute query, joining and relating, projection | 6, 15, 17 | 5, 8 |
4 | 9/22/2016 | Lecture 4: Spatial data management, geodatabase basics | Demo 4: Vector data editing, geocoding | Lab 4: Create feature classes, vector data editing, geocoding | 11, 12, 13, 14 | 10 |
5 | 9/29/2016 | Lecture 5: Vector based spatial analysis | Demo 5: Different overlay analyses | Lab 5: Location query, overlay and adjacency analyses | 8, 16, 18, 19 | 14 |
6 | 10/6/2016 | Lecture 6: Raster based spatial analysis | Demo 6: Georeferencing | Lab 6: Map algebra, surface analysis, raster-vector conversion, geo-referencing | Supplementary 6A-6C | 15 |
7 | 10/13/2016 | Lecture 7: Spatial statistics and geo-statistics | Demo 7: Interpolation comparison | Lab 7: Spatial dependency, clustering, fragmentation, interpolation | Supplementary 7A-7C | 4, 6 |
8 | 10/20/2016 | Mid Term Exam | Final project requirements | Planning for final project | ||
9 | 10/27/2016 | Lecture 8: Data collection and data quality | Demo 8: Internet data searching, topology editing | Lab 8: collect data for final project, develop metadata | 9 | |
10 | 11/3/2016 | Lecture 9: Network analysis | Demo 9: network routing | Lab 9: test, select and document analytical methods for final project. Project proposal due (500-1000 words) | ||
11 | 11/10/2016 | Lecture 10: GIS modeling and automation; web GIS and open source GIS | Demo 10: ModelBuilder | Lab 10: conduct analysis | 5, 20, Appendix A | 7, 11, 13, 16 |
12 | 11/17/2016 | Lecture 11: Introduction to Global Positioning Systems | Demo 11: Creating spatial features from GPS data | Lab 11: explore visualization options, create visual outputs for final project. Data evaluation report due (500-1000 words) | ||
11/24/2016 | No class | Thanksgiving | Break | |||
13 | 12/1/2016 | Lecture 12: Introduction to Remote Sensing | Demo 12: Multi-band image composition | Lab 12: prepare final project presentation (PowerPoint, PDF or other visual aid, 8-10 minutes) | ||
14 | 12/8/2016 | Lecture 13: Geospatial applications and perspectives | Demo 13: ArcGIS Online, WorldMap | Lab 13: compose final project poster (42” x 36” in size, PDF file, < 350 words of descriptive text) | 17, 18, 19, 20 | |
15 | 12/15/2016 | Project Oral Presentation | 5:30-8:30pm | Final project poster due |
Grading
Activity | Description | Weight | Due Date | |
Class Participation (15%) | attend 13 lectures, participate in class discussions, 1% each | 13% | Every Thursday 5:30-7:30pm | |
submit your grading for classmates' presentations | 2% | Last week, Friday midnight | ||
Lab Assignments (35%) | 7 labs, 5% each (teaching fellow grade) | 35% | Next Friday midnight | |
Mid-term Exam (20%) | in class, 1.5 hr, open book (teaching fellow grade) | 20% | 8th week, Thursday 5:30-7:00pm | |
Final Project (30%) | written proposal (instructor grade) | 5% | 10th week, Friday midnight | |
written data evaluation report (instructor grade) | 5% | 12th week, Friday midnight | ||
in class oral presentation 15% | instructor grade | 5% | Last week, Tuesday or Thursday 5:30-7:30pm | |
teaching fellow grade | 5% | |||
classmates grade average | 5% | |||
final project poster (instructor grade) | 5% | Last week, Sunday midnight | ||
Total | 100% |
Note:
All times are in Eastern Time. Late submission penalty: 10% per day.
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Course Summary:
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