GEOG 595

Spring 2018 All Classes

All Classes

Advanced Studies in Geography

SHOW FINAL EXAM SCHEDULE

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 2018
CRN	Type	Section	Time	Day	Location	Instructor	Section Details
10239	Independent Study		ARRANGED	n.a.	Location Pending		Part of Term: 1 Date Range: 01/16/18-05/02/18 Special Approval: Instructor Approval Required
60753	Lecture-Discussion	MK2	9:30AM -12:20PM	T	2049 Natural History Building	Kwan, M	Part of Term: 1 Date Range: 01/16/18-05/02/18 Credit: 2 hours Section Title: Big Data & Smart Cities Section Info: Big Data Analytics, Smart Cities, and Digital Geographies: 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	2049 Natural History Building	Kwan, M	Part of Term: 1 Date Range: 01/16/18-05/02/18 Credit: 4 hours Section Title: Big Data & Smart Cities Section Info: Big Data Analytics, Smart Cities, and Digital Geographies: Recent developments in geographic information science (GIScience) have considerable potential to 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, big data analytics, and analysis of contextual effects and uncertainty. It will also cover the application of advanced GIScience methods in various fields, including geography, urban studies and planning, public health, and transportation science. Topics include big spatiotemporal data analytics, mobile and movement data and their analytics, space-time GIS, smart cities, geographic context and uncertainty, algorithmic uncertainties, critiques of big data, and digital geographies. Restriction(s): Restricted to Graduate - Urbana-Champaign.