🗓️ Sessions 5 and 6: Recap and practice

This session is about recap and practice. We will do exercises on topics that you suggest, and recap concepts you found particularly hard to grasp. To this end, make sure you communicate your preferences on topics via Moodle until one week before this session.

👨‍🏫 Lecture Slides

There were no slides used during this session.

Script for the function example we were using

This is basically a step-by-step solution to the first function exercise of the Basics exercise collection in the package DataScienceExercises.

🎥 Lecture videos

There will be no videos for recap sessions.

📚 Suggested Reading

• Read again the tutorial on functions
• I added more mini exercises for defining functions to the package DataScienceExercises as part of the new exercise package Functions

Quick code for starting the exercises on functions

learnr::run_tutorial(
  name = "Functions", 
  package = "DataScienceExercises", 
  shiny_args=list("launch.browser"=TRUE))

✍️ Coursework

During the first 60 minutes of the session you will work on this sheet in groups of three people. Please use only one computer but develop the solutions together. In the remaining 30 minutes we will go through your solutions and discuss problems. I will post my own solutions online after the session, but urge to first try to come up with solutions on your own.

• Exercise sheet for this session
• R file template for your solutions
• Possible solutions to the exercises