Workshop Schedule

All lectures will be based on hands-on activities and be happening at the computer room at Physics 128.

You may use a desktop computer on each desk. To access it, you need your UM ID and password if you are a UM student or use the guest ID and password circulated by an email.

Please prepare a Google account if you don’t have one, as you will need to download the Google Colab notebooks. All lecture materials will be linked in the following schedule.

After the workshop, we will share the answer keys and a list of suggested reading.

Further reading

Here are some example resources in case you want to learn further beyond what is covered by this workshop.

Cosmology

• “Astrophysics in a Nutshell: Second Edition” by Dan Maoz (introductory)
  
• “Introduction to Cosmology” by Ryden (introductory)
  
• “Cosmology” by Baumann (introductory)
  
• “Modern Cosmology” by Dodelson and Schmidt (graduate level but pedagogical)

Machine Learning

• “Statistics, Data Mining, and Machine Learning in Astronomy: A Practical Python Guide for the Analysis of Survey Data” by Ivezic+ (first half is good for introductory statistics)
  
• “Machine Learning for Physics and Astronomy” by Acquaviva (introductory)
  
• “Python Machine Learning: Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow” by Raschka & Mirjalili

Day 3 – Friday

August 4th 2023