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| Week | Topics | Date |
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|---------|--------| ---- |
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| Week 1 | Web Mapping with [Leaflet](http://leafletjs.com/) and [Github](www.github.com)~~and [Folium](https://blog.dominodatalab.com/creating-interactive-crime-maps-with-folium/)~~| 8/29 |
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| Week 2 | Creating GIS Applications with the ArcGIS Javascript API | 9/12 |
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| Week 3 | GIS Web Application and 3D Scenes | 9/19 |
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| Week 4 | Popups and Widgets in Webapps | 9/26 |
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| Week 5 |[Jupyter Notebooks (IDE)](https://jupyter.org/install.html), [Intro to the ArcGIS API for Python](https://developers.arcgis.com/python/), ~~[Domino](https://app.dominodatalab.com/overview)?~~| 10/3 |
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| Week 6 |[Github](https://github.com/) and [Administering Your Organization](https://developers.arcgis.com/python/sample-notebooks/batch-creation-of-groups/)| 10/10 |
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| Week 7 | ArcGIS API for Python: [Publishing](https://developers.arcgis.com/python/sample-notebooks/publishing-sd-shapefiles-and-csv/) and [Analysis](https://developers.arcgis.com/python/sample-notebooks/chennai-floods-analysis/)| 10/17 |
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| Week 8 | ArcGIS API for Python: [Data Science](https://developers.arcgis.com/python/sample-notebooks/counting-features-in-satellite-images-using-scikit-image/)| 10/24 |
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| Week 9 |[Intro to Pandas](https://jakevdp.github.io/PythonDataScienceHandbook/03.00-introduction-to-pandas.html) and ArcGIS Spatial DataFrames | 10/31 |
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| Week 10 |[Numpy](https://jakevdp.github.io/PythonDataScienceHandbook/02.00-introduction-to-numpy.html) and Rasters & Working with Imagery Services | 11/7 |
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| Week 11 | Plotting with JS by [@JWasilgeo](https://github.com/jwasilgeo): DataViz, D3, Charting | 11/14 |
| Week 14 | Advanced Plotting with [Matplotlib](https://jakevdp.github.io/PythonDataScienceHandbook/04.00-introduction-to-matplotlib.html) and [Seaborn](https://seaborn.pydata.org/) and [Intro to Scikit-learn](https://jakevdp.github.io/PythonDataScienceHandbook/05.02-introducing-scikit-learn.html)| 12/5 |
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| Week 15 |[Scikit-learn](https://jakevdp.github.io/PythonDataScienceHandbook/05.02-introducing-scikit-learn.html) and [Multiprocessing](https://www.youtube.com/watch?v=s1SkCYMnfbY)| 12/12 |
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|~~Week 15~~|~~Students Present Final Project~~|~~12/12~~|
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| Week 1 | Web Mapping with [Leaflet](http://leafletjs.com/) and [Github](www.github.com)||
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| Week 2 | Creating GIS Applications with the ArcGIS Javascript API ||
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| Week 3 | GIS Web Application and 3D Scenes ||
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| Week 4 | Popups and Widgets in Webapps ||
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| Week 5 |[Jupyter Notebooks (IDE)](https://jupyter.org/install.html), [Intro to the ArcGIS API for Python](https://developers.arcgis.com/python/)||
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| Week 6 |[Github](https://github.com/) and [Administering Your Organization](https://developers.arcgis.com/python/sample-notebooks/batch-creation-of-groups/)||
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| Week 7 | ArcGIS API for Python: [Publishing](https://developers.arcgis.com/python/sample-notebooks/publishing-sd-shapefiles-and-csv/) and [Analysis](https://developers.arcgis.com/python/sample-notebooks/chennai-floods-analysis/)||
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| Week 8 | ArcGIS API for Python: [Data Science](https://developers.arcgis.com/python/sample-notebooks/counting-features-in-satellite-images-using-scikit-image/)||
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| Week 9 |[Intro to Pandas](https://jakevdp.github.io/PythonDataScienceHandbook/03.00-introduction-to-pandas.html) and ArcGIS Spatial DataFrames ||
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| Week 10 |[Numpy](https://jakevdp.github.io/PythonDataScienceHandbook/02.00-introduction-to-numpy.html) and Rasters & Working with Imagery Services ||
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| Week 11 | Plotting with JS by [@JWasilgeo](https://github.com/jwasilgeo): DataViz, D3, Charting ||
| Week 13 | Advanced Plotting with [Matplotlib](https://jakevdp.github.io/PythonDataScienceHandbook/04.00-introduction-to-matplotlib.html) and [Seaborn](https://seaborn.pydata.org/) and [Intro to Scikit-learn](https://jakevdp.github.io/PythonDataScienceHandbook/05.02-introducing-scikit-learn.html)||
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| Week 14 | Review Final Projects and [Multiprocessing](https://www.youtube.com/watch?v=s1SkCYMnfbY)||
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## Assignments & Grading
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| Weight | Type |
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|--------|------|
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| 20% | Weekly Assignments |
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| 20% | Project 1 - Web Application Project |
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| 20% | Project 2 - ArcGIS Python API Project |
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| 20% | Project 3 - Data Science Notebook Project|
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| 20% | Project 4 - Student Defined Final Project |
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| 19% | Weekly Assignments |
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| 27% | Project 1 - Web Application Project |
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| 27% | Project 2 - ArcGIS Python API Project |
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| 27% | Project 3 - Data Science Notebook Project or Student Defined Project|
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