Essentials in the quantitative analysis of spatial and other data, with a particular emphasis on statistics and programming. Topics include data display, data description and summary, statistical inference and significance tests, analysis of variance, correlation, regression, and some advanced concepts, such as matrix methods, principal component analysis, and spatial statistics. Students will develop expertise in data analysis using advanced statistical software.

Course Offerings:
    Spring 2019Instructor: Naijun ZhouView: Syllabus
    Summer 2018Instructor: Joanne Hall
    Summer 2017Instructor: Unlisted/TBDView: Syllabus
    Fall 2017Instructor: Naijun ZhouView: Syllabus
    Fall 2016Instructor: Naijun ZhouView: Syllabus
    Winter 2015Instructor: Unlisted/TBDView: Syllabus
    Fall 2015Instructor: Naijun ZhouView: Syllabus
    Fall 2014Instructor: Giovanni BaiocchiView: Syllabus

Principles of managing scarce resources in a world where everyone faces tradeoffs across both time and space. Focuses on the relationship between globalization processes and changing patterns of locational advantages, production, trade, population, socioeconomic and environmental grace and sustainability. (Human Geography)

Course Offerings:
    Winter 2019Instructor: Joshua Wayland
    Summer 2019Instructor: Joshua Wayland
    Fall 2019Instructor: Julie A. Silva
    Winter 2018Instructor: Joshua Wayland
    Summer 2018Instructor: Joshua Wayland
    Fall 2018Instructor: Julie A. Silva
    Fall 2017Instructor: Joshua WaylandView: Syllabus
    Fall 2016Instructor: Julie A. Silva
    Fall 2015Instructor: Julie A. Silva
    Fall 2014Instructor: Julie A. SilvaView: Syllabus