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* http://eratos.erin.utoronto.ca/fcs/TANI/ggr261.html
University of Toronto at Mississauga |
GGR261H: GEOGRAPHICAL DATA ANALYSIS
OUTLINE:
This course is intended as a broad and intensive introduction to the
principles and practice of geographical information systems. The nature and models
of spatial data, actual data sources, computing systems, algorithmic requirements,
analytical performance and project management will be covered. Important issues
related to various natural and social sciences will be introduced to be continued
in upper division courses within geography and related fields.
INSTRUCTOR:
Ferko Csillag; office: 3106 South Building; phone: 905- 828-3862; e-mail: fcs AT eratos.erin.utoronto.ca
Tarmo Remmel; phone: 905-828-3868; e-mail: tarmo.remmel AT utoronto.ca
PREREQUISITES: 1.0 FCE from GGR117Y or ENV100Y.
TOPICS:
- Behind a buzzword: The changing world of GIS
- From "real world" problems to data models
- Data and databases: input, storage, manipulation and output
- Quality: does accuracy overrule everything?
- Analysis: where in the world is... what?
- Quantitative and qualitative information
- Another look: implementation issues
TEXTBOOK:
- mandatory: DeMers, M. (2005) Fundamentals of geographical informaion systems (3rd edition); J. Wiley
- suggested: Getting to know ArcGIS; (direct from www.ESRI.com)
EXPECTATIONS:
Knowledge, skills, attitude:
- This course requires a significant amount of independent work and study.
The Geographic Computing Facility (1150) will be used intensively for tutorials,
labs and work assignments. The lectures, the textbook and the assignments form an
integral part of the course material.
Grades, rules, help:
- The evaluation is based on active participation (5%), four assignments
(40%), a midterm test (15%) and the final exam (40%). All work that is handed in
late results in 15% reduction per calendar day. Academic honesty is taken very
seriously - earnest effort will be rewarded, while cheating, plagiarism and all
other acadmic offenses will not be tolerated.
- I strongly recommend that students plan ahead: consultations (over e-mail,
telephone, or in person) are definitely encouraged.
