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MIT Subject Listing & Schedule
My Course Selections

12.THG Graduate Thesis
______

Graduate (Fall, IAP, Spring, Summer) Can be repeated for credit
Prereq: Permission of instructor
Units arranged
Remove from schedule TBA.
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Program of research leading to the writing of an SM, PhD, or ScD thesis; to be arranged by the student and an appropriate MIT faculty member.
A. Greaney-Williams
Textbooks arranged individually

11.908 Urban Fieldwork
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Graduate (Fall, IAP, Spring) Can be repeated for credit
Prereq: None
Units arranged
Remove from schedule TBA.
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Practical application of planning techniques to towns, cities, and regions, including problems of replanning, redevelopment, and renewal of existing communities. Includes internships, under staff supervision, in municipal and state agencies and departments.
S. Elliott
No required or recommended textbooks

11.458 Crowd Sourced City: Civic Tech Prototyping
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Graduate (Fall)
(Subject meets with 11.138)
Prereq: None
Units: 3-0-9
Remove from schedule Lecture: MW2-3.30 (10-485)
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Investigates the use of social medial and digital technologies for planning and advocacy by working with actual planning and advocacy organizations to develop, implement, and evaluate prototype digital tools. Students use the development of their digital tools as a way to investigate new media technologies that can be used for planning. Students taking graduate version complete additional assignments.
C. D'Ignazio
No textbook information available

11.524 Advanced Geographic Information System Project
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Graduate (Fall) Can be repeated for credit; second half of term
Prereq: (11.205 and 11.220) or permission of instructor
Units arranged
Remove from schedule Begins Oct 21. Lecture: TR10.30-12.30 (10-401)
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Provides instruction in statistical approaches for analyzing interrelation, clustering, and interdependence, which are often key to understanding urban environments. Covers local and global spatial autocorrelation, interpolation, and kernel density methods; cluster detection; and spatial regression models. Develops technical skills necessary to ask spatial questions using inferential statistics implemented in the R statistical computing language. Prior coursework or experience in geographic information systems (GIS) at the introductory level required; prior coursework or experience in R is preferred.
E. Huntley
No textbook information available

Total units: 12+

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A note on the schedule: Lecture options are shown, not labs or recitations.

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TIMEMon TueWed ThuFri KEY

 12.THG

 11.908

 11.458

 11.524

7 am




8 am




9 am




10 am

4


4

11 am
4
4

4
4

12 pm
4

4

1 pm




2 pm3
3

3
3


3 pm3

3


4 pm




5 pm




6 pm




7 pm




8 pm




9 pm