Course Notes
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Course Resources
Syllabus
Schedule
Code of Conduct
Evaluation Methods
Learning Notes
First Learning Reflection
Second Learning Reflection
Textbooks
Tools we will be using
Tools - Python
Tools - Jupyter Notebooks
Tools - Anaconda
Tools - Github with Github Desktop
Tools - Markdown
Lesson Plans
Lesson Plan for Week 1
Lesson Plan for Week 2
Lesson Plan for Week 3
Lesson Plan for Week 4
Lesson Plan for Week 5
Lesson Plan for Week 6
Lesson Plan for Week 7
Lesson Plan for Week 8
Lesson Plan for Week 9
Lesson Plan for Week 10
Lesson Plan for Week 11
Course Notes
1. Getting Started
2. Getting Ready to Work
3. Open Data, Tools, and Workflows
4. Environmental Data
5. Data Analysis
Pandas Fundamentals - I
Exploratory Data Analysis and Groupby using Pandas
Time Series Analysis - Introduction
Working with timeseries data
From Data to Models
Flood return period and probability
6. Data Analysis Pipelines
Accessing data through APIs
Working with Python Packages and Conda Environments
Activity: Working with python environments
Environmental Big Data and Xarray
Working with Gridded netCDF data and xarray
Gridded data and weather effects
Impact of model resolution and comparison to observations
7. Satellite Data
More Xarray: Understanding Climatology Through Precipitation Data
Gridded data and weather effects
Semester Project
Semester Project Introduction
Semester Project Report Guidelines
Semester Project - Milestone Tasks
In-class Presentation Guidelines
Course Notes
This section contains course notes for individual lectures or topics.