Toggle navigation GPGN490 Survey Load unfinished survey Resume later Exit and clear survey default Caution: JavaScript execution is disabled in your browser or for this website. You may not be able to answer all questions in this survey. Please, verify your browser parameters. GPGN490 Class Survey, Spring 2022 Which modules to expand, shrink,or keep about the same? Expand Keep about the same Reduce Remove No opinion Python and Jupyter Intro Expand Keep about the same Reduce Remove No opinion Geopandas Expand Keep about the same Reduce Remove No opinion Machine Learning with SkLearn Expand Keep about the same Reduce Remove No opinion ArcGIS Online and Python API Expand Keep about the same Reduce Remove No opinion Deep Learning Expand Keep about the same Reduce Remove No opinion AGOL Applications (StoryMaps, Dashboards, etc.) Expand Keep about the same Reduce Remove No opinion SuAVE with SDGS and Spatial Statistics Expand Keep about the same Reduce Remove No opinion Raster analysis in Jupyter Expand Keep about the same Reduce Remove No opinion Please add comments: Which additional lecture topics would you suggest? (To make room for additional topics, please suggest which current topics should be removed or reduced) Was the homework too difficult, too easy, or about right? Too difficult Too easy About right Python and Jupyter Intro (HW1) Too difficult Too easy About right Geopandas/Spatial analysis (HW2) Too difficult Too easy About right ML/Geoenrichment/ArcGIS Python (HW3) Too difficult Too easy About right Deep Learning (HW4) Too difficult Too easy About right Please add comments about HWs. In particular, which modules should be accompanied by homework? Should there be more emphasis on machine learning or on spatial data analysis in Python? More machine learning More spatial data analysis in Python The balance is about rght Please enter your comment here: Should we add more discussions during lectures, quizzes, a midterm, a final exam? Add Don't add Discussions during lectures Add Don't add Quizzes during lectures or online Add Don't add Midterm exam Add Don't add Final exam Add Don't add How many hours, on average, did you spend on this course per week (including lectures, lab work, office hours?) Only numbers may be entered in this field. What was the most valuable component (or components) you learned that you see yourself using in the coming year? How does this course compare with similar GPS courses, and how is it different? Basically, does it fit the curriculum or is it an outlier? Any additional comments? What was your level of expertise before this course? Expert Intermediate Some limited exposure Total novice Machine Learning Expert Intermediate Some limited exposure Total novice Deep Learning Expert Intermediate Some limited exposure Total novice Python and Jupyter Expert Intermediate Some limited exposure Total novice GIS and spatial analysis Expert Intermediate Some limited exposure Total novice Geopandas and other open-source libraries Expert Intermediate Some limited exposure Total novice ArcGIS Desktop and/or Online Expert Intermediate Some limited exposure Total novice ArcGIS Python API Expert Intermediate Some limited exposure Total novice Spatial statistics Expert Intermediate Some limited exposure Total novice Raster analysis Expert Intermediate Some limited exposure Total novice Submit Load unfinished survey Resume later Please confirm you want to clear your response? Exit and clear survey ×