Course Intro

Intro to data science applied to Software Engineering problems. Refresher/intro to data science concepts and tools.

Learning Outcomes

• position data science in the scope of SE activities
• install and use the R programming language and RStudio/Quarto
• refresh knowledge of basic statistical approaches

Topics and slides

These are the submodules I covered in class.

• Intro notes

Readings

1. Cross-tool logs at Google
2. Getting Started with R

Exercises

These are done in class. The source code below is a combo of what I typed and what I prepped before hand.

1. Icebreaker
2. Think-Pair-Share
3. What is R?

Optional Readings and Activities

These readings enrich the material but are not strictly necessary to read.

• Facebook and static analysis
• Hullman and Gelman 2021, “Designing for Interactive Exploratory Data Analysis Requires Theories of Graphical Inference”
• Thoughts on Applicability, Titus Winters