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GEO 200CN

— Quantitative Geography

(4 units)

This version has ended; see updated course, below. Course Description: Provides an overview of quantitative approaches in spatial data analysis. Overview of different approaches used for inference, modeling, and prediction. Also learn how to write computer programs to implement these methods.

Prerequisites & course information

This version has ended; see updated course, below. Course Description: Provides an overview of quantitative approaches in spatial data analysis. Overview of different approaches used for inference, modeling, and prediction. Also learn how to write computer programs to implement these methods. Learning Activities: Lecture 2 hour(s), Laboratory 6 hour(s). Enrollment Restriction(s): Limited to 25 students. Grade Mode: Letter. GEO 200CN — Quantitative Geography (4 units) Course Description: Provides an overview of quantitative approaches in spatial data analysis. Overview of different approaches used for inference, modeling, and prediction. Also learn how to write computer programs to implement these methods. Learning Activities: Lecture 2 hour(s), Laboratory 6 hour(s). Enrollment Restriction(s): Open to graduate students; limited to 25 students. Grade Mode: Letter. This course version is effective from, and including: Winter Quarter 2027. Learning Activities: Lecture 2 hour(s), Laboratory 6 hour(s). Enrollment Restriction(s): Limited to 25 students. Grade Mode: Letter. GEO 200CN — Quantitative Geography (4 units) Course Description: Provides an overview of quantitative approaches in spatial data analysis. Overview of different approaches used for inference, modeling, and prediction. Also learn how to write computer programs to implement these methods. Learning Activities: Lecture 2 hour(s), Laboratory 6 hour(s). Enrollment Restriction(s): Open to graduate students; limited to 25 students. Grade Mode: Letter. This course version is effective from, and including: Winter Quarter 2027.

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