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Spring 2015 SYLLABUS
INSTRUCTOR
Prof. Joseph Ferreira, Jr.,Room 9-532,
jf@mit.edu
Office hours: Tuesday 2:00 - 3:00, Thursday 10:30 - Noon in 9-532
COURSE STAFF
Teaching Assistant: Eric Schultheis, Room 9-230,
schulthe@mit.edu
Office hours : F 1:00 - 2:30 PM in the computer lab on the 5th floor of building 9 and Sun 7:30 - 8:30 PM in 9-251
Course Administrator: Sue Delaney, Room 9-530,
sld@mit.edu
MEETINGS
Monday: Lab prep and Lab exercises 2:30- 5:00 PM in Room W31-301>
[Lab prep and start of exercise are the key parts. Students can leave for other classes
beginning at 3:30 or 4 and finish the exercises later on their
own.
Additional supervised lab time (optional)
will be reserved depending upon demand and TA availability.
Wednesday: 2:30- 4:00 PM inRoom 9-251
CREDITS
11.188 is an undergraduate subject
that will satisfy both the Department and the Institute lab
requirement and earns 3-6-3
units of undergraduate credit.
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
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- 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:
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- gathering data and documentation
- 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 Fall half-semester MCP core GIS and spatial analysis class,
11.205. Both 11.205 and 11.188 cover basic thematic
mapping and the buffering and overlay operations (using vector and raster data) that are
involved in basic 'site suitability' assessments. The 11.188 lab
adds a bit more database management (using MS-Access), an introduction to
model building tools (Model Builder), and a small, individual project.
We try to teach GIS methods and techniques with some attention
to open-ended planning questions that invite spatial analysis
but will
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Require judgment and exploration to select relevant
data and mapping techniques;
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Involve mixing and matching new, local data with
extracts from official records(such as census data, parcel data and
regional employment and population forecasts);
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Utilize spatial analysis techniques such as buffering,
address matching, and overlays;
-
Use other modeling and visualization techniques
beyond thematic mapping (e.g., map mashups);
- Raise
questions about the skills, strategy, and organizational support
needed to sustain such analytic capability within a variety of local
regional planning settings.
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PREREQUISITES
The prerequisites for the course are:
-
A working familiarity with personal computing,
spreadsheets, and the MIT Athena CRON computing
environments.
- 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. The Spring class, 11.220 (Quantitative Reasoning I), can be taken concurrently if a student
wants to refresh their analytic skills using urban planning applications.
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 schedule below. The GIS exercises will use
ArcGIS software on WinAthena workstations.
GRADING
Lab Exercises (collectively)
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25%
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Three Homework Sets (collectively)
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30%
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In-Class, Open-Book Test
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23%
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Small Project
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18%
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Class Participation
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4%
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Please
include your name and Athena username on all assignments, tests, etc., including those
turned in electronically. We need this information to identify your
work easily.
LATENESS POLICY
All assignments with be submitted online using the Stellar website for the
class. 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 are 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 (weekends and holidays count for a single day ) that it is turned
in after the due date. 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, after two weeks, no problem sets will be accepted
if the answers have been posted.
Final project write-ups are due on the last day of
classes, May 14. Write-ups turned in after Friday, May
15 will lose 5 points. No project write-ups will be accepted
after Monday, May 21.
ACADEMIC INTEGRITY
Plagiarism and cheating are both academic crimes.
For this class, it is helpful and okay to discuss lab exercises and
problem sets (but not tests) with other classmates, but the results and
discussion that you turn in should be your own work and not anything
copied from another person or paper. Never (1) turn in an assignment
that you did not write yourself, (2) turn in an assignment for this
class that you previously turned in for another class, or (3) cheat on
an exam. If you do so, it may result in a failing grade for the class,
and possibly even suspension from the college. Please see me if you
have any questions about what constitutes plagiarism. Anyone caught
cheating on an exam will be reported to the provost in line with
recognized university procedures.
TEXTS
There is no required-purchase text. Texts marked
with an asterisk (*) will be held on reserve at Rotch Library. The books may be
purchased from online retailers such esripress.esri.com, amazon.com, barnesandnoble.com ,Wiley, and from various used book sites.
- >Ormsby, Tim, et at.
Getting to Know ArcGIS Desktop (for ArcGIS 10). ESRI Press,
Redlands, CA, 2010, 2nd edition.(ISBN-13: 978-1589482609). (Available
directly from esripress.esri.com for ~$80 and at Amazon, et al. for
less than $30.) Earlier versions are available in the
Library.
- Monmonier, Mark. How to Lie with
Maps. Second Edition. Chicago: University of Chicago Press, 1996.
Hardcover: ISBN 0-226-53420-0. Paperback: ISBN 0-226-53421-9.
The paperback is now under $15 at Amazon.
(The 1991 first edition, ISBN 0-226-53415-4, is also fine.)
- (*) Longley, Goodchild, Maguire and Rhind, Geographic Information Systems and
Science, Third Edition, 2010. ISBN: 978-0-470-72144-5. Available for ~$100 from Wiley.
The earlier edition from 2001 (ISBN: 0-471-89275-0) is adequate,
and is in the Library.
- (*) Peng and Tsou, Internet GIS: Distributed Geographic Information
Services for the Internet and Wireless Networks, John
Wiley, New York, 2003, ISBN: 0-471-35923-8. Paper version available from
Wiley.
- (*) OSullivan, David, and David Unwin,
Geographic Information Analysis, 2nd edition, John Wiley
Sons, New Jersey (2010) ISBN: 978-0-470-28857-3.
(Available for ~$115 from Wiley.
The earlier 2003 edition (ISBN: 0471211761)(in Library) is adequate.
- Arctur, David and Michael Zeiler, Designing
Geodatabases: Case Studies in GIS Data Modeling, ESRI Press,
Redlands, CA, 2004, ISBN: 9781589480216 (Available for ~$28 from Amazon.)
- Zeiler, Modeling our world: the ESRI
guide to geodatabase design. 2010 ESRI Press.ISBN: 9781589482784
(Available for ~$29 from Amazon.)
SCHEDULE
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Introduction to the Class and
GIS; GIS Principles & methods
plus GIS at MIT on WinAthena computers
Reading:
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Lab
Mon., Feb. 9
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Lab 1: GIS Introduction Exercise ArcGIS
basics
Reading:
- Ormsby , et al,
Chapter 2 & 3 + 6 & 7
- Monmonier, Chapter 2: "Elements of the Map."
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Lecture
Wed., Feb. 11
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GIS Models, GIS Data Manipulation and Querying
Reading:
- Ormsby, et al,
Chapter 8 & 9
- Monmonier, Chapter 3: "Map
Generalization: Little White Lies and Lots of Them."
- Longley, et al,
Chapter 4: Georeferencing.
- Longley, et al,
Chapter 3: Representing Geography
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Lab
Tues., Feb 17
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Lab 2: Thematic Mapping in
ArcMap (symbolization and exploratory vs. explanatory
mapping)
Lab Exercise 1 due
Homework Set posted online
Note:Tuesday, Feb. 17 follows a
MONDAY class schedule
Reading:
- Ferreira, J. Jr., 1990. "Database
Management Tools for Planning", Journal of the American
Planning Association, Winter, pp.78-84. [on
reserve]
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Lecture
Wed., Feb 18
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Relational Databases (and MS-Access)
Reading:
- Modeling our world, 4
& Chp 5
- Ormsby et al, Chapter 15 & 16
- Longley et al, Chapter 9: "Geographic Modeling."
- Longley et al, Chapter 11: "Creating and Maintaining Geospatial Databases."
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Lab
Mon., Feb. 23
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Lab 3: Database Operations in ArcGIS (spatial
selection, query selection, tabular joins, spatial joins)
Lab Exercise 2 due
Reading:
- Ormsby, et al, Chapter 14
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Lecture
Wed, Feb. 25
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Making Sense of the Census
Reading:
- Monmonier,
Chapter 10 (Chapter 9 in the first edition): "Data Maps:
Making Nonsense of the Census."
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Lab
Mon., March 2
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Lab 5: Working with 2010 Census Data
& MIT Geodata Repository
(Note: Lab 4 is deferred until next week
(Database Aggregation, SQL, and Charts)
Lab Exercise 3 due
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Lecture
Wed., March 4
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Coordinate
Systems and Projections
Homework Set 1 due
Homework Set 2 distributed
Reading:
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Lab
Mon., March 9
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Lab4: Database Aggregation, SQL, and Charts
(both Lab #4 and Lab #5 are due on Monday, March 16)
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Lecture
Wed., March 11
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Spatial Analysis(Vector Analysis).
Homework Set 1 due
Homework Set 2 distributed
Reading:
- Ormsby, et al, Chapter 11: Preparing Data for Analysis.
- Ormsby, et al, Chapter 12: Analyzing Spatial Data."
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Lab
Mon., March 16
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Lab 6: VectorSpatial Analysis (buffers, polygon overlay, area allocation, using ArcTools)
Lab Exercise 4 and 5 due
Reading:
- Ormsby, et al, Chapter 11: Preparing Data for Analysis.
- Ormsby, et al, Chapter 12: Analyzing Spatial Data.
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Lecture
Wed., March 18
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Spatial Data Models and Spatial Analysis II (Raster)
Homework Set 2 part 1 due
Reading to be distributed
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Lab
Mon., March 30
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Lab 7: Raster Spatial Analysis (Interpolation, Raster Operations, Spatial Analyst)
and Model Builder
Lab Exercise 6 due
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Lecture
Wed., April 1
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Intro to Web Services
Reading:/p>
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Lab
Mon., April 6
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Lab 8: Introduction to Web Services
Lab Exercise 7 due
Reading: to be distributed
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Lecture
Wed., April 8
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GIS Data Creation, Advanced Raster Operations, and Model
Building
Homework Set 2 part 2 due
Homework Set 3 distributed
Reading:
- Ormsby, et al, Chapter 17 & 20
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Lab
Mon., April 13
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Test (in class, open book)
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Lecture
Wed., April 15
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Model Builder and review of labs/homework
Lab Exercise 8 due
Homework Set 3 part 1 due Friday, April 17, at 3:30
PM via Stellar
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Mon., April 20
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Patriot's Day Holiday
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Lecture
Wed., April 22
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Tips on Project Presentation and Writeup, plus Project Work
Project Proposal due
Homework Set 3 part 2 due
Reading:
- Notes by Cherie Abbanat, DUSP Writing Specialist, on
"Creating Your 11.188/11.520 Presentation and Report"
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Lab
Mon., April 27
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Project Work
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Lecture
Wed., April 29
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GIS Data Creation, Network Analysis & Interoperable Web Services
Project Proposal Feedback
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Lab
Mon., May 4
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Project Work
Project Work + Project Title and Abstract due
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Lecture
Wed., May 6
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Project work and test feedback
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Mon., May 11
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Project presentations
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Wed., May 13
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Project presentations
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Last modified on 14 May
2015 [schulthe]
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