https://github.com/achapkowski/adv_py_scripting_for_gis_course
430.618.81 - Advanced Python Scripting for GIS
https://github.com/achapkowski/adv_py_scripting_for_gis_course
Last synced: 10 months ago
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430.618.81 - Advanced Python Scripting for GIS
- Host: GitHub
- URL: https://github.com/achapkowski/adv_py_scripting_for_gis_course
- Owner: achapkowski
- License: apache-2.0
- Created: 2019-12-21T17:31:14.000Z (over 6 years ago)
- Default Branch: master
- Last Pushed: 2024-10-11T12:46:54.000Z (over 1 year ago)
- Last Synced: 2024-12-01T12:49:10.644Z (over 1 year ago)
- Language: Jupyter Notebook
- Size: 64.2 MB
- Stars: 9
- Watchers: 5
- Forks: 6
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# 430.618.81 - Advanced Python Scripting for GIS
## Instructor, Course Information & Objectives
```
*Advanced Academic Programs*
*Zanvyl Krieger School of Arts and Sciences*
*Johns Hopkins University*
*430.618.81 - Advanced Python Scripting for GIS*
Instructor Information
Instructor: Andrew Chapkowski
Email Address: andrew (dot) chapkowski (at) jhu.edu
Office Hours: Online
```
----------------------
## Course Description
This course focuses on advanced uses of Python as a scripting tool to automate workflows in GIS and create customized applications. This includes the development of script tools, utilizing advanced ArcPy modules, working with third-party modules, customizing GIS applications, and more advanced Python functionality. Offered once a year. Prerequisites: 430.606 Programming in GIS.
----------------------
## Course Goal
The goal is that each week there will be a geospatial concept along with a fundamental programming concept so students learn both foundational and geospatial programming skills.
---------------------
## Course Objectives
- Learn Python and understand how to use it to solve geospatial problems
- Encourage the use of Python through relevant examples and assignments
- Encourage students implementing it in their own research projects using geospatial technologies.
----------------
## Textbooks:
- (Required) Kushal Das. [Python for you and me](https://pymbook.readthedocs.io/en/latest/) **THIS IS FREE**
----------------------
## Online Resources:
- [Python documentation](https://docs.python.org/3/index.html)
- [ArcPy documention](http://desktop.arcgis.com/en/arcmap/latest/analyze/arcpy/what-is-arcpy-.htm)
---------------------
## Specific Technology Requirements & Skills for this Course
Learning online requires some basic knowledge of computer technology. At a minimum,
you need to be able to:
- User Jupyter Notebooks
- Navigate in and use Blackboard; the Blackboard Student Orientation course on
your “My Institution” page
- Open, create, and save Jupyter Notebooks
- Critically Think
- Find basic resources on Internet
- Create and organize files & folders on your computer
- Send, receive, and manage email on your computer
---------
## Assessments and Grading Policy
------------------
### Assignments
Below is a description of the number and type of assignments in this course:
- Computer Assignments: There will be a computer-based assignment every week
which will be due every Sunday at 11:59 pm ET. These exercises are designed to
provide hands-on experience with programming in GIS
- Projects are student driven projects with guidances in the project pages.
- Discussion Forums: You are required to have at least **1-2** meaningful posting per week on the
discussion forums, additional postings and participation are highly advised.
-------------
### Tentative Course Schedule
| Week | Start Date | Topics |
|---------|------|--------|
| Week 1 | 1/21/2020 | Introduction to Python |
| Week 2 | 1/27/2020 | Introduction to Python |
| Week 3 | 2/3/2020 | OOP Overview & Python Toolboxes|
| Week 4 | 2/10/2020 | ArcPy Lesson |
| Week 5 | 2/17/2020 | ArcPy Lesson |
| Week 6 | 2/24/2020 | ArcPy Lesson |
| Week 7 | 3/2/2020 | Arcpy Lesson (Raster data) |
| Week 8 | 3/9/2020 | **Project 1 Due** |
| Week 9 | 3/16/2020 | **Spring Break No Class** |
| Week 10 | 3/23/2020 | Introduction to Data Science |
| Week 11 | 3/30/2020 | Data Visualization |
| Week 12 | 4/6/2020 | Python API for ArcGIS 1 of 2 |
| Week 13 | 4/13/2020 | Python API for ArcGIS 2 of 2 |
| Week 14 | 4/20/2020 | Select Advanced Topics in GIS |
| Week 15 | 4/27/2020 | **Final Project Released** |
| Week 16 | 5/4/2020 | **Final Project Due** |
### Assignment Due Dates
| Assignment | Date |
|---------|------|
| Lab 1 | 2/9/2020 |
| Lab 2 | 2/23/2020 |
| Midterm^ | 3/8/2020 |
| Lab 3 | 4/4/2020 |
| Final^ | 5/10/2020 |
**Note**
^ Midterm opens two weeks before due date
^ Final opens two weeks before due date
---------
Below is the break down of assignments percentages:
### Assignment Weights
| Weight | Type |
|--------|------|
| 15% | Forum Posting |
| 15% | Labs |
| 35% | Midterm Project |
| 35% | Final Project |
**Any late assignment will be penalized**
------------------------
### Grade Break Down
| Weight | Type |
|--------|------|
| 98% and 100% |A+|
|94% and Less Than 98% | A|
|90% and Less Than 94% | A-|
|89% and Less Than 90% | B+|
|84% and Less Than 88% | B|
|80% and Less Than 84% | B-|
|70% and Less Than 80% | C|
|0% and Less Than 70% | F|