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Date Time Event
Monday May 26th 09:00-10:30 Module 1
Introduction to scientific reproducibility
JB
  10:45-12:30 🚑 💻 Installation clinic 💻 🚑
Alyssa
  13:30-15:00 Module 2
🐧 Introduction to the Terminal and Bash 🐧
Alyssa & Brent
  15:15-17:00 Exercises
     
Tuesday May 27th 09:00-10:30 Module 3
🌳 Introduction to Git and GitHub 🌳
Julia
  10:45-12:15 Exercises
  13:15-14:45 Module 4
🐍 Python and virtual environments 🐍
Michelle
  15:00-16:30 Exercises
  16:45-17:45 Quiz 1
     
Wednesday May 28th 09:00-10:15 Module 5
🐍 Python toolbox for data analysis 🐍
Ines
  10:15-10:45 Exercises
  11:00-12:30 Module 6
🐼 Data wrangling with Pandas 🐼
Jacob
  13:30-14:30 Exercises
  14:45-15:45 Module 7
👀 Introduction to data visualization in Python 🐍
Jacob
  16:00-17:00 Exercises
     
Thursday May 29th 09:00-10:30 Module 8
Machine Learning 1
🤖 Supervised Learning 📖

Michelle & Mohammad
  10:45-12:30 Exercises
  13:30-15:00 Module 9
Machine Learning 2
🤖🤖 Model selection & validation 📖📖

Michelle & Mohammad
  15:15-17:00 Exercises
     
Friday May 30th 09:00-10:00 Module 10
💥 Classical statistics pitfalls and remedies 💊
JB
  10:00-10:45 Module 11: Part 1
🐋 Containers 🐋
Alyssa
  11:00-12:30 Module 11: Part 2
🐋 Containers 🐋
Alyssa
  13:30-14:30 Module 12
🤖 Ask Me Anything or Large language models 💬
Brent
  14:30-15:15 Exercises
  15:30-15:45 Feedback
  15:45-17:00 Quiz 2
  17:00-19:00 🥳 🍸 Celebrations 🍸 🥳