GSD Course Bulletin - Spring 2014

This term's information was last refreshed on 12 MAY 2015 14:55:41.

Courses taught by Robert Pietrusko

01122: Second Semester Core Urban Planning Studio (STU 0112200)

Urban Planning and Design
Core Studio - 8 credits
Tuesday Thursday 2:00 - 6:00  

Alex Krieger, Ann Forsyth, Robert Pietrusko, Daniel D'Oca, Kathryn Madden

Course Description

The second semester core planning studio expands the topics and methodologies studied in the first semester core studio, GSD 1121, aiming to prepare students for the mix of analytical and creative problem-solving needed to address planning issues at the advanced level of the options studios. GSD 1122 centers around a single large-scale planning problem with a regional, intermunicipal scope. The studio addresses the following concerns, all of which are currently central to planning: the pattern and development nature of settlement form; the visual and scenic impact of development either at the fringe or in built-up areas; accessibility, walkability, and the relationship between transit and autos; the location and utility of open space, particularly with respect to development; how planning can promote development of places, businesses, and cultural activities; how to interact with and appreciate the perspectives of diverse constituencies; and the respective roles of large-scale concepts (eg plans) vs. regulation in shaping the built environment.p>

Courseware site (Canvas)

06322: Mapping: Geographic Representation and Speculation (SCI 0632200)

Urban Planning and Design
Lecture - 4 credits
Tuesday Thursday 11:30 - 1:00   Gund 111

Robert Pietrusko

Course Description

Maps do not represent reality, they create it. As a fundamental part of the design process, the act of mapping results in highly authored views of a site. By choosing what features, forces, and flows to highlight—and implicitly, which to exclude—the designer first creates the reality into which their intervention will be situated and discussed. Furthermore, the usage and materiality of space is increasingly measured, categorized, and circulated by all manners of institutions; these competing data representations often become the primary way of understanding and responding to a site. Designers are in the difficult position of approaching these geographic datasets critically while simultaneously employing them in their work. It is not enough to represent complicated networks of site forces and interactions as a neutral backdrop to one's design; we are tasked with actively shaping them.

It is within the framework of a highly-authored design process that this course presents the fundamentals of geographic analysis and visualization.

Over the course of a semester, students will work extensively with techniques of geospatial analysis in GIS. Using ESRI's ArcMap software, we will explore data sources, data models, topological overlays, map algebra, spatial statistics, terrain analysis, and suitability modeling, among others.

Students will learn how to embed these techniques within larger design workflows. We will address the visualization of spatial analysis in its various forms using Illustrator, Photoshop, and physical modeling. We will also treat mapping as an active part of the design process - where the speculative use of spatial data provides the context for 2D and 3D design proposals in Rhino. These designs will then feed back into the GIS environment as additional layers for analysis and modeling.

Lastly, a portion of the semester will be devoted to visualizing geospatial data using the Processing language. The basics of coding with Processing will be taught with a specific focus on representing analysis produced by students in the GIS environment.

Course Structure
Each week will consist of a skills workshop devoted to a technique or workflow, and a lecture that situates these techniques critically in relationship to design. Students will be expected to complete weekly mapping exercises and short reading assignments in preparation for the class. During the semester, there will be two main projects combining advanced mapping techniques with a student's own research interests.

No previous experience with ArcMap or Processing is assumed. Confidence with Rhino, Adobe Illustrator and Photoshop is preferred.

Courseware site (Canvas)

09201: Independent Study by Candidates for Masters Degrees (ADV 0920100)

Independent Study - 4 credits

Ann Forsyth, Beth Altringer, Neil Brenner, Joan Busquets, Felipe Correa, Diane Davis, Peter Del Tredici, Sonja Duempelmann, Ed Eigen, K. Michael Hays, Michael Hooper, Jane Hutton, Niall Kirkwood, Joyce Klein-Rosenthal, Sanford Kwinter, Kiel Moe, Richard Peiser, Robert Pietrusko, Peter Rowe, David Sanderson, Jorge Silvetti, James Stockard, Maryann Thompson, Bing Wang, Matthew Wilson, Cameron Wu, Rahul Mehrotra

Course Description

Students may take a maximum of 8 credit units with different instructors in this course series.Prerequisites: Graduate standing. Candidates may arrange individual work focusing on subjects or issues that are of interest to them but are not available through regularly offered course work. Students must submit an independent study petition and secure approval of their advisor and of the faculty member sponsoring the study.

Courseware site (Canvas)

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