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Spring 2018 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: Laura Delgado, Room 9-366, ldelgado@mit.edu
Office hours : TBA
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 4 and finish the exercises later on their own.]
Additional supervised lab time: Friday, 1:00-3:00 pm in
the Building 9 fifth floor computing lab (9-554)
Wednesday: 2:30- 4:00 PM in the City Arena
(Room 9-255)
Website: Lab exercises, lecture notes,
and other class materials for both 11.188 and the
11.205+11.520 modules are available in the one class
locker at: http://web.mit.edu/11.188.
In addition, lab, homework exercises, and some readings
will be available via Stellar at: http://stellar.mit.edu/S/course/11/sp18/11.188.
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.
11.205 and 11.520 are graduate subjects and 11.205
satisfies the GIS and Spatial Analysis requirement of
the MCP degree program.
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:
- Learn spatial analysis methods and 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 first half of the semester covers basic thematic
mapping and the buffering and overlay operations (using
vector and raster data) that are involved in basic 'site
suitability' assessments. The content meets the 'spatial
analysis' requirement for the MCP degree and includes a
bit more database management (using MS-Access) than is
covered in the Fall version of 11.205. The second half of
the semester includes additional work with model building
tools (Model Builder), and web mapping (CartoDB) plus a
small, individual project that exercises the concepts and
tools learned earlier in the semester.
We try to teach GIS methods and techniques with some
attention to 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 (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
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Content
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11.205 |
11.520 |
11.188 |
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Six Lab Exercises (collectively)
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30%
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15%
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Two Homework Sets (collectively)
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32%
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16%
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In-Class, Open-Book Test
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32%
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16%
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Third Homework & last 2 labs
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44%
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22%
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Small Project
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50%
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25%
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Class Participation
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6%
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6%
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6%
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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 17. Write-ups turned in after Friday, May
18 will lose 5 points. No project write-ups will be
accepted after Tuesday, May 22.
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. We are currently working on placing these
on reserve and you will be notified once they are
available. The books may be purchased from online
retailers such esripress.esri.com,
amazon.com, barnesandnoble.com
,Wiley, and
from various used book sites.
- Law, Michael, and Amy Collins, Getting to Know
ArcGIS (4th Edition), ESRI Press, Redlands, CA, 2013,
ISBN-13: 978-1589483828. This edition covers up to
version 10.3. An older version of the book is
basically the same and still a useful alternative:
- *Ormsby, Tim, et at. Getting to Know ArcGIS
Desktop (for ArcGIS 10). ESRI Press, Redlands, CA,
2010, 2nd edition.(ISBN-13: 978-1589482609). Both
books are available directly from
esripress.esri.com for ~$80 and at Amazon, et al.
for less than $50 - even less for used version.
- 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.
- NCGIA Core Curriculum in GIScience: online on U. of
California eScholarship website: http://escholarship.org/uc/item/3g1217wg?query=ncgia%20giscience#page-1
- (*) 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, GIS Models
plus GIS at MIT on WinAthena computers
Reading:
- Law (Part 5) or Ormsby (Section 4)
- 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
Mon., Feb. 12
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Lab 1: GIS Introduction Exercise ArcGIS basics
Reading:
- Law (Parts 2,3) or Ormsby (Sections 2,3)
- Monmonier, Chapter 2: "Elements of the Map."
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Lecture
Wed., Feb. 14
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GIS Data Manipulation and Querying, Relational
Databases (with MS-Access) and Coordinate
Systems
Reading:
- Ferreira, J. Jr., 1990. "Database Management
Tools for Planning", Journal of the American
Planning Association, Winter, pp.78-84. [on
Stellar]
- Modeling our world, 4 & Chp 5
- Law (Part 3, chapter 6) or Ormsby (Chapter
13)
- Longley et al, Chapter 9: "Geographic
Modeling."
- Longley et al, Chapter 11: "Creating and
Maintaining Geospatial Databases."
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Lab
Tues., Feb 20
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Lab 2: Thematic Mapping in ArcMap
(symbolization and exploratory vs. explanatory
mapping)
Database Operations in ArcGIS (spatial
selection, query selection, tabular joins,
spatial joins)
Lab Exercise 1 due
Homework Set 1 posted online
Note: Tuesday, Feb. 20 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
Stellar]
- Law (Part 4, chapter 11, and Part 5) or
Ormsby (Section 4; Section 6, chapter 14)
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Lecture
Wed., Feb 21
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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., Feb. 26
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Lab 3: Working with 2010 Census Data
Lab Exercise 2 due
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Lecture
Wed, Feb. 28
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More Census Data, Queries, and Spatial Analysis
Examples
Reading:
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Lab
Mon., March 5
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Lab 4: Database Aggregation, SQL, and Charts
Lab Exercise 3 due
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Lecture
Wed., March 7
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Spatial Analysis (Vector Analysis).
Homework Set 1 due
Homework Set 2 distributed
Reading:
- Law (Part 6, chapters 18,19)
- or Ormsby (Sec. 4,
chapters 11,12)
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Lab
Mon., March 12
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Lab 5: Vector Spatial Analysis (buffers,
polygon overlay, area allocation, using
ArcTools)
Lab Exercise 4 due
Reading:
- Law (Part 6, chapters 18,19)
- or Ormsby (Sec. 4,
chapters 11,12)
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Lecture
Wed., March 14
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Spatial Data Models and Spatial Analysis II
(Raster)
Homework Set 2 (Part 1) due
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Lab
Mon., March 19
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In-class Test (in
class, open book)
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Lecture
Wed., March 21
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Intro to Web Mapping and Geoprocessing Services
Lab Exercise 5 due
Reading:
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Friday,
March 23
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Homework Set 2 (Part 2) due |
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Lab
Mon., April 2
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Lab 6: Raster Spatial Analysis (Interpolation,
Raster Operations, Spatial Analyst) and Model
Builder
Preliminary Project Proposal due
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Lecture
Wed., April 4
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GIS Data Creation, Advanced Raster Operations,
and Model Building
Homework Set 3 distributed
Reading:
- Law (Part 4) or Ormsby (Sections 6,8)
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Lab
Mon., April 9
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Lab 7: GPS Data Gathering
Lab Exercise 6 due
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Lecture
Wed., April 11
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Model Builder and review of labs/homework
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Holiday
Mon., April 16
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Patriot's Day Holiday
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Lecture
Wed., April 18
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Project prep, Online Data, and Web Mapping
Homework Set 3 part 1 due
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Lab
Mon., April 23
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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 25
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Tips on Project Presentation and Writeup,
plus Project Work
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 30
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Project Work
Revised Project Proposal due
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Lecture
Wed., May 2
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Project Work
Project Proposal Feedback
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Lab
Mon., May 7
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Project Work
Project Work + Revised Project Title and
Abstract due
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Lecture
Wed., May 9
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Project work
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Mon., May 14
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Project presentations
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Wed., May 16
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Project presentations
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Last modified on
March 20, 2018 [ldelgado]
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