Syllabus

Instructor

Prof. Joseph Ferreira, Jr.

Course Meeting Times

Lectures: One session / week, 1.5 hours / session

Labs: One session / week, 2 hours / session

Meetings

Monday: Lab Preparations and Lab Exercises

Wednesday: Lecture

Undergraduates should enroll in 11.188; this subject will satisfy both the Department and the Institute lab requirement.

Graduate students should enroll in 11.520.

Note: The subjects 11.520 and 11.188 meet at the same time with nearly identical content.

Goals

This class uses lab exercises and a workshop setting to help students develop an in-depth understanding of the planning and public management uses of geographic information systems.

The goals are to help students:

  • Acquire technical skills in the use of geographic information system (GIS) software and database management tools through:
    • lab exercises and homework using small (but real) local datasets, and
    • project work involving the shared use of larger datasets and the mixing and matching of data from different sources.

     
  • Acquire qualitative methods skills by:
    • gathering data and documents,
    • analyzing information, and
    • presenting results effectively.
     
  • Investigate the potential and practicality of GIS technologies in a typical planning setting and evaluate possible applications.
  • Understand basic principles underlying the growth of Web mapping, geospatial services, and location-aware computing.

The workshop teaches GIS techniques and basic database management at a level that extends somewhat beyond the thematic mapping and data manipulation skills included in the MCP core classes (viz. 11.204 and 11.220). Instead of focusing on one thematic map of a single variable, students will focus on more open-ended planning questions that invite spatial analysis but will:

  • Require judgment and exploration to select relevant data and mapping techniques.
  • Involve mixing and matching new, local data with extracts from official records (such as census data, parcel data and regional employment and population forecasts).
  • Utilize spatial analysis techniques such as buffering, address matching, and overlays.
  • Use other modeling and visualization techniques beyond thematic mapping.
  • Raise questions about the skills, strategy, and organizational support needed to sustain such analytic capability within a variety of local and regional planning settings.

Prerequisites

The prerequisites for the course are:

  • A working familiarity with personal computing, and spreadsheets.
  • A basic familiarity with elementary data analysis (that most undergrads acquire via general Institute requirements, and most graduate students have already acquired via undergrad methods and analysis classes). Hence, 11.220 (Quantitative Reasoning I) is not a prerequisite.

Requirements

Students will be expected to complete weekly lab exercises plus three homework sets covering readings and basic GIS skills. Students will also complete one in-class test and a small project of the student's choosing that draws on the skills taught in the class. This project will be presented to the class in an oral presentation and a brief written report. The project should require about the same effort as one of the homework sets. Due dates for these requirements are given in the calendar. The GIS exercises will use ArcGIS software.

Grading

ACTIVITIES PERCENTAGES
Lab Exercises (Collectively) 25%
Three Homework Sets (Collectively) 30%
In-class, Open-book Test 20%
Small Project 20%
Class Participation 5%

Lateness Policy

Turning in assignments promptly is important both for keeping current with the subject matter, which is cumulative, and to keep all students on a level playing field. Hence, we have adopted a strict policy towards credit for assignments that is turned in late. We will consider requests for extensions due to extenuating circumstances on a case-by-case basis, but please do not count on such requests being granted.

Lab exercises are typically due one week after the corresponding lab. A late lab exercise will be accepted up until one week after the original due date for a loss of one grade (e.g., a "check" becomes a "check-minus"). After that, late assignments will receive no credit and will not be accepted.

Late problem sets will have two points deducted for each day (including weekends and holidays) after the due date that it is turned in. Hence, a problem set turned in three days late would lose 6 points. If it would have earned 90 points if turned in on time, it would receive only 84 points under these conditions. Regardless, no problem sets will be accepted after the answers have been posted, typically two weeks after the initial due date.

Final project write-ups are due on the last day of classes. Write-ups turned in later will lose 5 points per day. No project write-ups will be accepted after one week past the last day of classes.

Texts

Amazon logo Ormsby, et al. Getting to Know ArcGIS Desktop. Redlands, CA: ESRI Press, 2001. ISBN: 1879102897.

Amazon logo Worboys, Michael F. GIS: A Computing Perspective. London, UK: Taylor & Francis, 1995. ISBN: 0748400656.

Amazon logo Monmonier, Mark. How to Lie with Maps, Second ed. Chicago, IL: University of Chicago Press, 1996. ISBN: 0226534200 (Hardcover). Amazon logo ISBN: 0226534219 (Paperback). (The 1991 first edition, Amazon logo ISBN: 0226534154, is also fine.)

Amazon logo Longley, Goodchild, Maguire, and Rhind. Geographic Information Systems and Science. Hoboken, NJ: John Wiley & Sons, 2001. ISBN: 0471892750.

Amazon logo Peng, and Tsou. Internet GIS. Hoboken, NJ: John Wiley & Sons, 2003. ISBN: 0471359238.

Amazon logo O'Sullivan, David, and David Unwin. Geographic Information Analysis. Hobokey, NJ: John Wiley & Sons, 2003. ISBN: 0471211761.