Skip to content

achapkowski/Adv_Py_Scripting_for_GIS_Course

Repository files navigation

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:


Online Resources:


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

About

430.618.81 - Advanced Python Scripting for GIS

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published