GEOG 595

Spring 2017 All Classes

All Classes

Advanced Studies in Geography

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Credit: 0 TO 8 hours.

Seminar and directed individual investigation of selected problems or regions; designed to develop ability to conduct independent investigation. Scheduled seminars are detailed in each term's Class Schedule.

Approved for both letter and S/U grading. May be repeated.

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GEOG 595 class schedule data for spring 2017
CRN	Type	Section	Time	Day	Location	Instructor	Section Details
10239	Independent Study		ARRANGED	n.a.	Location Pending		Part of Term: 1 Date Range: 01/17/17-05/03/17 Special Approval: Instructor Approval Required
65052	Lecture-Discussion	J	2:00PM -4:50PM	T	137D Davenport Hall	Jefferson, B	Part of Term: 1 Date Range: 01/17/17-05/03/17 Credit: 4 hours Section Title: Spaces of Marxism Section Info: This reading-intensive module explores Marxian analyses of relations between capital and space. We will investigate how scholars use Marx to explain processes of colonization, urbanization, uneven development, and agrarianism. We also engage with newer texts using Marxian concepts to critically examine ethnoracialized spaces including slave plantations, carceral networks, colonial settlements, sweatshops, ghettoized neighborhoods, slums, and borderlands; and gendered spaces including the domestic sphere, workplaces, prisons, sex markets, and spaces of care work. Restriction(s): Restricted to Graduate - Urbana-Champaign.
60753	Lecture-Discussion	MK2	9:30AM -12:20PM	T	ARR Computing Applications Bldg	Kwan, M	Part of Term: 1 Date Range: 01/17/17-05/03/17 Credit: 2 hours Section Title: Advances in GIS & Big Data Section Info: Meets in Room 229 CAB. Students who enroll in the 2 credit hour section are encouraged to read the literature relevant to their own research. Restriction(s): Restricted to Graduate - Urbana-Champaign.
60199	Lecture-Discussion	MK4	9:30AM -12:20PM	T	ARR Computing Applications Bldg	Kwan, M	Part of Term: 1 Date Range: 01/17/17-05/03/17 Credit: 4 hours Section Title: Advances in GIS & Big Data Section Info: Meets in Room 229 CAB. Recent developments in geographic information science and big data often provide new and important insights to many analytical problems geographers face in their research. This course introduces students to some of the most innovative advances in GIScience and big data analytics, and also their applications in geographic and health research, including: Space-time GIS, Three-dimensional geovisualization methods, Geocomputation, Mobile and movement data and their analytics, Qualitative GIS for mixed-method research, Critical reflections of GIS on applications, Social media data and analytics, and Network-based GIS methods. Restriction(s): Restricted to Graduate - Urbana-Champaign.