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Materials Project Workshop 2019

Tentative Schedule

All activities are in 310 Sutardja Dai Hall. Breakfast arrives on Wednesday, Thursday and Friday mornings at 08:30.

(optional) Wed morning -- Python/Jupyter primer

  • 09:00-09:15 Intro - Variables and Arithmetic
  • 09:15-10:30 Built-ins - Lists, Functions, Packages, Dictionaries
  • 10:30-10:45 coffee break
  • 10:45-12:00 Control: Logic, Loops, Creating Functions, Iterators
  • 12:00-13:00 lunch

(optional) Wed afternoon -- MongoDB using Python primer

  • 13:00-13:15 Data Modeling - Python Types to JSON to MongoDB
  • 13:15-14:30 Listing, Counting, Finding, and Dot Notation
  • 14:30-14:45 coffee+stretch break
  • 14:45-16:00 Advanced Filtering, Basic Aggregation, and Sorting
  • 16:00-16:30 wrap-up

Thu morning

  • 09:00-09:15 Overview of MP data+software ecosystem
  • 09:15-10:30 Website and Basic API use
  • 10:30-10:45 Coffee+stretch break
  • 10:45-12:00 Pymatgen core - foundations and useful functionality
  • 12:00-13:00 Lunch

Thu afternoon

  • 13:00-13:15 Catch-up
  • 13:15-14:30 Pymatgen adventures - several case studies, including use of MP API
  • 14:30-14:45 Coffee+stretch break
  • 14:45-16:00 Advanced API use - materials informatics
  • 16:00-16:30 Wrap-up

Fri morning

  • 09:00-09:15 Overview of MP workflow infrastructure
  • 09:15-10:30 Atomate basics - Building a workflow
  • 10:30-10:45 Coffee+stretch break
  • 10:45-12:00 Atomate intermediate - Managing complex workflows
  • 12:00-13:00 Lunch

Fri afternoon

  • 13:00-13:15 catch-up
  • 13:15-14:30 Your data: Contributing to MP / Setting up your own data management+analysis pipeline
  • 14:30-14:45 Coffee+stretch break
  • 14:45-16:00 Materials data science: descriptors and machine learning
  • 16:00-16:30 Wrap-up

Getting here

The workshop is located in 310 Sutardja Dai Hall, aka the Banatao Auditorium, on the UC Berkeley campus. Click here for detailed visitor information, including parking and transportation options.

campus map highlighting Sutardja Dai Hall

The walk from downtown is a bit steep, so you may wish to board a campus shuttle.