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Course Schedule: Results

 

2019 September Semester
Apr 25, 2024
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Sections Found
CRN 50668
Introduction to Geospatial Analysis - GEOG 250 - A1
Geospatial analysis through coding provides the means to address critical questions about our world in an objective and automated way. Large spatial datasets obtained from remote sensing and geophysical models require specialized analytic tools. This course introduces students to geospatial datasets including visualization and analysis techniques using the Python coding language.

Levels:  Undergraduate

Campus:    Prince George
Schedule Type:  Lecture
Instructional Method: On campus, face to face
Credits:   3.000


Scheduled Meeting Times
Type Time Days Where Date Range Schedule Type Instructors
Class 1:30 pm - 2:20 pm R Teaching Lab 8-125 Sep 04, 2019 - Dec 13, 2019 Lecture Joseph Michael Shea (P)E-mail


CRN 50669
Introduction to Geospatial Analysis - GEOG 250 - L1
Geospatial analysis through coding provides the means to address critical questions about our world in an objective and automated way. Large spatial datasets obtained from remote sensing and geophysical models require specialized analytic tools. This course introduces students to geospatial datasets including visualization and analysis techniques using the Python coding language.

Levels:  Undergraduate

Campus:    Prince George
Schedule Type:  Laboratory
Instructional Method: On campus, face to face
Credits:   0.000


Scheduled Meeting Times
Type Time Days Where Date Range Schedule Type Instructors
Class 8:30 am - 11:20 am W Teaching Lab 8-125 Sep 04, 2019 - Dec 13, 2019 Laboratory Joseph Michael Shea (P)E-mail



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Release: 8.7.2.6