debruine / reprores_2022

Schedule for the 2022 MSc course Data Skills for Reproducible Research

• Class 05 (2022-10-21)

• Class 04 (2022-10-14)

• Class 03 (2022-10-07)

• Class 02 (2022-09-30)

• Class 01 (2022-09-23)

• Office hours: Fridays 11:00 - 12:00 in Lisa’s office (R524, 62 Hillhead Street)

• Collaborative Class Notes

Class 05 (2022-10-21)

• Poll 5 and results

Pre-class

• Read Chapter 5: Data Relations
• Complete the exercises for chapter 5
• Fill out the pre-class poll

In-Class

• Open the class book
• Open your class project in RStudio
• Chapter 5 exercise run-through
• Break
• Assessment and previous chapter questions

Class 04 (2022-10-14)

• Poll 4

Pre-class

• Read Chapter 4: Working with Data
• Complete the exercises for chapter 4
• Fill out the pre-class poll

In-Class

• Open the class book
• Open your class project in RStudio
• Questions about the mid-term assessment
• How to zip and unzip files
• Reproducible results text demo RMD / HTML
• break
• Chapter 4 exercise run-through

Class 03 (2022-10-07)

• Poll 3

Pre-class

• Read Chapter 3: Data Visualisation
• Complete the exercises for chapter 3
• Fill out the pre-class poll

In-Class

• Open the class book
• Open RStudio
• Introduction to the mid-term assessment
• work on Chapter 3 exercises in groups
• break
• Present chapter 3 exercises

Class 02 (2022-09-30)

• Poll 2

Pre-class

• Read Chapter 2: Reproducible Workflows
• Complete the exercises for chapter 2
• Fill out the pre-class poll
• Fill out the office hours when2meet

In-Class

• Open the class book
• Open RStudio
• Set up class project
• cowsay
• Chapter 2 questions
• break
• Chapter 2 exercise walkthrough

Class Notes

• Please take notes in the Collaborative Class Notes google doc
• Office hours will be Fridays 11:00 - 12:00, normally in Lisa’s office (R524 in 62 Hillhead Street) or by Zoom. You can also arrange individual meetings if that time doesn’t work for you.

After Class

• Read Chapter 3: Data Visualisation
• Complete the exercises for chapter 3
• Complete the (optional) data skills self-assessment

Class 01 (2022-09-23)

• Poll 1

Pre-class

• Read the intro
• Install R and RStudio (if using your own laptop in class)
• Read Chapter 1: Getting Started
• Complete the exercises for chapter 1
• Fill out the pre-class poll

In-Class

• Open the class book
• Open RStudio
• Start at 13:05 (remind Lisa to start recording!)
• Why Code? presentation
• Discuss the class syllabus
• Discuss the data skills self-assessment
• Break
• Chapter 1 exercises

Class Notes

• log into desktops with campus\12345678X and GUID password
• fortunes not available for R 4.2

After Class

• Read Chapter 2: Reproducible Workflows
• Complete the exercises for chapter 2
• Complete the (optional) data skills self-assessment