Day 2: Derivatives

Definition of the derivative, basic rules, applications, interpretation, examples in EDS

Day 2 Part 1

Morning lecture:

Lecture 2A Slides - PDF

• Definition of the derivative
• Derivatives the long way
• Basic derivative rules

Morning interactive session

Interactive Session 2A handout

• Derivatives by hand
• Derivatives in R with D()
• Meet Jupyter Notebooks
• Hello Python

Morning flex session:

• git & GitHub continued

Day 2 Part 2

Afternoon lecture:

Lecture 2B Slides - PDF

• Higher order derivatives
• Partial derivatives
• Applications in environmental data science

Afternoon interactive session:

Interactive Session 2B handout

• Derivatives in R continued
• Drawing higher order derivatives
• Partial derivatives in R

Afternoon flex session:

• Project oriented workflow
• Reproducible pieces sans code

Day 2 Tasks and Activities

Day 2 Tasks - Handout

Efficiency tips

Inspired by Dr. Julia Lowndes’ Openscapes program.

• Cmd + A (Mac) or Ctrl + A: Select all in current document
• Cmd + comma (Mac): Open preferences for current app